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Agriculture is a major contributor to greenhouse gas emissions and is vulnerable to climate change. Regenerative agriculture, which focuses on increasing soil carbon, has been recognized as a potential climate solution. A recent study found that seven regenerative practices, including planting cover crops and using non-chemical fertilizers, all increased carbon sequestration. However, the study also highlights that regenerative agriculture has other benefits beyond carbon sequestration, and the focus should not solely be on carbon credits. The popularity of regenerative agriculture is growing, but there is a risk of it being co-opted and losing its essence. [Extracted from the article]

In recent years, recognition has grown of the significant role that food systems play in driving climate change, constituting about one-third of global greenhouse gas emissions, while also playing a key role in sequestering carbon and adapting to climate changes. The COP28 climate conference signaled a pivotal shift, spotlighting food and agriculture in discourse. However, despite pledges and declarations, concrete plans and targets to address emissions from food chains remain elusive. Urgent action is imperative to transform food systems and avert surpassing critical warming thresholds. [ABSTRACT FROM AUTHOR]

Catherine Bertini, a leader in addressing global hunger, discusses the challenges of achieving zero hunger by 2030. Currently, 800 million people are food-insecure due to poverty, conflicts, climate issues, and the COVID-19 pandemic. The goal of reaching net-zero greenhouse gas emissions by 2050 poses a challenge, as agriculture contributes a quarter of all emissions. Efforts are being made to develop climate-resilient African crops and reduce negative impacts from the agricultural industry. The text emphasizes the importance of proactive measures to mitigate the effects of climate change on food security, investing in pre-mitigation efforts, and supporting local food systems. It also highlights the role of women in food and climate issues and the recent recognition of food's importance in climate discussions. The text concludes by discussing the food situation in Gaza and the need for an end to war to ensure food delivery to the region. [Extracted from the article]

Vehicle electrification has shown the potential to reduce environmental impacts and greenhouse gas emissions from the transport sector. As electric vehicles (EVs) become increasingly prominent, the efficient placement of charging infrastructure poses a complex challenge that demands careful consideration. This paper delves into the investigation of how travel and parking patterns, derived from empirical data on freight vehicles, influence the optimal distribution of charging infrastructure across the freight network. This paper presents a node-based approach to optimize the allocation of charging infrastructure tailored explicitly for freight transport. The study identifies optimal locations for operator-owned charging infrastructure by leveraging GPS-based data collected from a fleet of freight vehicles operating in the greater Gothenburg metropolitan area. This research aims to enhance our understanding of the charging infrastructure requirements inherent in the freight transport system and provide decision support to logistics companies contemplating the shift from conventional fossil fuel vehicles to electric freight vehicles. The proposed model holds the potential for seamless adaptation to diverse freight transport systems, offering valuable insights to expedite the transition toward fossil-free freight transport on a broader scale. • Complexity in charging infrastructure placement for freight transport. • Empirical data from a fleet of freight vehicles in Gothenburg metropolitan area. • Investigation of travel and parking patterns of freight vehicles. • Node-based optimization approach to allocate charging infrastructure. [ABSTRACT FROM AUTHOR]

The paper focuses on the failure to account for the value of standing tropical forests, and of ecosystem services in general, in economic decision-making. This blindness to the values of nature has led to overexploitation, degradation and destruction of tropical forests, which, in turn, has also significantly contributed to greenhouse gas emissions. Forest conservation and restoration has a critical role to play in the fight against climate change and brings a vast array of additional benefits, from security in water, energy, food, health and livelihoods to maintaining biodiversity itself as a core component of our living planet. As first Minister of Environment and Energy under President Oscar Arias (1986–1990), I brought these views into societal decision-making in Costa Rica and here I briefly describe how. This article is part of the theme issue 'Bringing nature into decision-making'. [ABSTRACT FROM AUTHOR]

Aims: The objective of this study was to propose a maize–peanut intercropping system for traditional sole maize to increase economic benefits and decrease environmental pollution for dryland farming. Methods: The treatments comprised sole maize, sole peanut, maize–peanut intercropping, maize–peanut intercropping–rotation (rotation of the maize and peanut planting strips every year), and maize–peanut intercropping–rotation with 20% and 40% N reduction in maize planting strip. Soil water and total N stock, photosynthetic traits, yield, greenhouse gas emissions, economic income, and interspecific relationships were evaluated. Results: Intercropped maize absorbed more moisture but lost more N than sole maize. Maize–peanut intercropping had higher economic benefits and less N2O emissions than sole maize, but had no intercropped advantage on land equivalent ratio. In addition, intercropping increased the continuous cropping barriers of peanuts than a sole peanut. Rotation of the planting strips in intercropping increased the peanut yield and economic benefits compared with not rotating the planting strips, and the economic benefits reached the highest level in the third planting year. A 20% N reduction in maize planting strips can decrease the global warming potential without affecting economic benefits. A 40% N reduction in maize planting strips could reduce soil N stock, maize yield, water use efficiency, N use efficiency, land equivalent ratio, and income. Conclusions: A maize–peanut intercropping–rotation system is recommended for dryland farming since it promoted efficient use of N and economic benefits and decreased N2O emission. The proper N reduction in maize planting does not lead to N stress but decreased global warming potential. [ABSTRACT FROM AUTHOR]

The current New Zealand greenhouse gas inventory predictions assume that dairy cows consume pasture only, but the use of supplemental feeds, including concentrates, on New Zealand dairy farms has increased greatly in recent decades. The objective of this study was to evaluate the effect of feeding graded levels of concentrates on methane (CH4) emissions in lactating dairy cows within a pastoral system. Early lactation dairy cows (n = 72) were allocated (n = 18 per treatment) to receive 0, 2, 4 and 6 kg dry matter (DM) of treatment concentrates per day during milking. The cows grazed pasture ad libitum and CH4 emissions were measured in the paddocks using automated emissions monitoring systems called 'GreenFeed'. Gross CH4 emissions (g/d) were similar for cows across the four dietary treatments, while CH4 emissions intensity (g/kg fat and protein corrected milk production (FPCM) and milk solids production) linearly decreased with increasing concentrate inclusion in the diet (P < 0.02). The CH4 intensity decreased linearly (r2 = 0.42) and quadratically (r2 = 0.53) with increasing FPCM production. [ABSTRACT FROM AUTHOR]

Measuring the methane to carbon dioxide ratio (CH4/CO2) from animals could be useful to predict CH4 yield when dry matter intake (DMI) cannot be measured. The objectives were to (1) evaluate the relationship of CH4/CO2 with CH4 yield; (2) compare the CH4/CO2 of 10–60 simulated spot-samples with the CH4/CO2 calculated with data from 48-h of respiration chamber measurements. The DMI and CH4 and CO2 emissions measured every 5–6 min in respiration chambers from a previous experiment with 70 lambs fed ryegrass substituted with 0%, 25%, 50%, 75% and 100% of forage rape were retrieved. Emission data were used to perform simulations of 10, 20, 30, 40, 50 and 60 randomly selected spot-samples per lamb. The CH4/CO2 of 20 or more spot-samples was useful to predict CH4 yield and detect differences between dietary treatments, while the precision of the prediction increased when increasing the number of spot-samples up to 50 samples per lamb. Twenty spot-samples were sufficient to obtain accurate CH4/CO2 estimates; however, variance decreased (precision improved) with an increasing number of spot-samples per lamb up to 50 spot-samples. The CH4/CO2 of 10–60 simulated spot-samples explained 61% to 66% of variation in the 48-h measured CH4 yield. [ABSTRACT FROM AUTHOR]

With growing concerns about air pollution and global warming effects, the emissions of NH 3 and greenhouse gases (GHGs) have become significant issues in the pig production industry. In order to discover whether optimizing manure removal strategies could alter the manure decomposition process and benefit the reduction of gas emissions, a scale model approach was used to quantify the gas emissions under controlled conditions. This study compared the gas emission reduction potential of two classic manure removal systems (scraper and pull-plug system) in three manure removal strategies: scraper-I (retaining manure for 24 h), scraper-II (retaining manure for 8 and 16 h) and pull-plug (retaining manure for 44 days). Fresh urine and faeces collected from a gestation sow house were applied to the scale models and then removed through the manure removal systems. The concentrations of gases (NH 3 , CH 4 , CO 2, and N 2 O) within the scale model and removed slurry samples were collected and analysed (pH, electric conductivity, dry matter, total nitrogen, total ammonium nitrogen and total carbon). The results showed that emissions of CH 4 , CO 2, and N 2 O from scraper-I were on average 54%, 56% and 25% lower than those from scraper-II, and 71%, 67% and 6% lower than those from pull-plug treatment, respectively. The GHGs emission rates (as CO 2 -equivalents) of scraper-I and scraper-II were 52% and 26.3% lower than that of pull-plug treatment respectively (P < 0.01). The emissions of NH 3 displayed a temporary peak during each application of urine and removal of manure. In pull-plug treatment, the concentrations of NH 3 , CH 4 , and CO 2 exponentially increased between Day 39 and Day 41. The nitrogen content, both total nitrogen and total ammonium nitrogen, within the slurry under the scraper system exhibited lower values compared to those from the pull-plug system. Conversely, the total carbon content was higher in the former system. Caution is warranted in extrapolating results to full-scale pig housing, given study limitations (e.g. small scale, mimicked scraper activity, no animals, etc.). Nevertheless, the conclusions and findings of this study provide fundamental data for understanding gas emissions from pig house manure management. This insight can guide the design and daily operations of low-emission manure removal systems in gestation sow houses. [Display omitted] • Manure removal strategies and gas emissions were studied in sow pen scale models. • Pull-plug system exhibited higher GHGs emissions than scraper systems. • Crust formation increased NH 3, CH 4 and CO 2 emissions from the pull-plug system. • NH 3 emission peaks were observed during manure removal and urine application. • Scraping manure once a day enabled a comprehensive reduction of gas emissions. [ABSTRACT FROM AUTHOR]

The Urban Trees Ecophysiology Network (UTEN) held its inaugural workshop in Athens, GA, USA, bringing together 40 specialists from various disciplines to study the physiological functioning of urban trees. The workshop aimed to understand how the urban environment affects tree health and functioning, as well as how trees impact the microclimate of cities. Urban trees provide numerous benefits, such as reducing air pollution, improving mental health, lowering temperatures, and mitigating climate change. However, there are disparities in tree distribution, with low-income areas having less tree cover and experiencing higher temperatures. The workshop discussed methods for data management, research design, and communication with stakeholders, and proposed the installation of informative panels and QR codes on monitored trees for public engagement. The network plans to establish a global urban tree monitoring network and expand its nodes to currently underrepresented regions. [Extracted from the article]

Industrial economic activities produce pollutants and environmentally sustainable production systems in forestry aim to minimize these undesirable outputs while maintaining high production and economic growth. In this contribution, we assume that in addition to plot-specific inputs and outputs, there are some contextual variables that may be exogenously fixed or may be under the control of the decision-makers. In this sense, we first propose a novel and practical approach to calculate environmental efficiency by reducing undesirable products. Then, we utilize an inverse data envelopment analysis (IDEA) model to effectively manage and reduce CO2 emissions. In doing so, the applied models have been utilized to evaluate the efficiencies of 89 forest plots in the USA. Given our estimations in a real application to the forest plots, the study revealed that the average environmental efficiency score is nearly 0.75 (out of 1). However, there is potential for improvement by adjusting the impacts of contextual factors, which could raise the score to approximately 0.8. Furthermore, the analysis indicates a positive correlation between ownership and environmental efficiency, suggesting that increased ownership leads to higher environmental efficiency. Conversely, temperature exhibits a negative correlation with environmental efficiency. Finally, the results obtained from the IDEA indicate that in order to reduce undesirable outputs by a specific level of 5–10%, it is necessary to decrease other inputs and outputs. This is because, under the assumption of weak disposability, reducing the level of undesirable outputs requires a reduction in certain factors that influence production capacity. In other words, achieving the desired reduction in undesirable outputs inevitably involves diminishing certain aspects of the production process. As the major conclusion, the emergence of IDEA as a powerful tool for sensitivity analysis, along with its flexible nature, offers exciting opportunities for research and practical applications in various fields, including forestry activities. It has the potential to enhance overall environmental efficiency and enable better control over GHG emissions levels. [ABSTRACT FROM AUTHOR]

This paper proposes the Hybrid desalination and power generation through parabolic trough collectors. This study aims to examine the feasibility, performance optimization, and economic viability of power-generation plant and hybrid-desalination using multi-stage flash (MSF) and reverse osmosis (RO) technologies assessed by using the parabolic trough collectors (PTC). The objective is to discover the posibilities of this innovative approach in addressing water scarcity and clean energy demands. The studies usually focus on several key aspects. Firstly, it resolves the technical feasibility of integrating MSF and RO technologies with parabolic-trough-collectors to optimize energy efficiency and freshwater production. This involves evaluating the system design, heat transfer mechanisms, and operational parameters.Secondly, performance optimization is a key area of investigation. By optimizing these parameters the aim is to maximize freshwater production while minimizing energy consumption. Thirdly, the economic viability of the hybrid plant will be assessed. This involves considering capital investment, conducting a comprehensive cost analysis, maintenance costs, and operational expenses. The study also evaluates the potential for revenue generation through the sale of excess electricity produced by the system. The potential outcomes of this research include demonstrating the technical-feasibility as well as economic-viability of the hybrid desalination and power generation plant. The findings may indicate that this approach can effectively address water scarcity challenges while contributing to clean energy production. The study may also highlight the environmental benefits of integrating renewable energy sources (RESs) and decreasing greenhouse gas emissions compared to traditional desalination methods.The proposed method is executed in MATLAB platform and compared to various existing approaches. [ABSTRACT FROM AUTHOR]

The rice-wheat cropping system is the largest cereal-based agricultural production system in India. It provides considerable significance to national food, nutrition, and livelihood security. However, the extensive use of resources under rice-wheat system has resulted in significant issues, including a decline in groundwater levels, indiscriminate use of fertilizers, the burning of rice residues, increased emissions of greenhouse gases, and the development of herbicide-resistant weeds which led to stagnant crop productivity and reduced profitability. This study was conducted at the research farm of ICAR-IIWBR, Karnal, India, to evaluate the combined effects of conventional and nano urea on productivity, profitability, and efficient nitrogen management strategy in wheat under rice-wheat system. The study evaluated eight treatment combinations of nitrogen application through conventionally applied urea (46% N) and foliar applied nano urea (4% N). The results of the study showed that the application of 150 kg N/ha in three equal splits as basal and just before 1st and 2nd irrigation, either alone (T2) or along with a spray of nano urea (T5), resulted in the highest grain yield and profitability. Top dressing of urea just before irrigation with a dose of nitrogen 150 kg/ha applied in three equal splits (T2) resulted in 420 kg/ha additional grain yield over top dressing at 7-10 days after irrigation with same dose (T3). Treatment T5 recorded the highest gross and net returns with 2492.5 and 1804.0 US $/ha. The study's findings suggest that efficient nitrogen management is essential for sustainable wheat production in India. The application of 150 kg N/ha in three equal splits, either alone or along with a spray of nano urea, is a promising strategy for improving wheat productivity and profitability in India. [ABSTRACT FROM AUTHOR]

Battery-electric buses (BEBs) are considered suitable technology for transit to tackle climate change and promote environmentally friendly mobility solutions. However, the systemic configuration of BEBs in transit requires sophisticated planning efforts due to contradictory objectives and decisions. The optimal design of a BEB transit system is often approached from various perspectives, leading to different system configurations and distinct impacts on the electricity grid. Towards that end, this study develops three BEB system configuration optimization models, including minimizing capital costs, electricity costs, and greenhouse gas (GHG) emissions. All three models inform the optimal charging system configuration, BEBs battery capacity, and BEBs charging schedule for a general hub-and-spoke transit network. The proposed models are applied to a case study of the Belleville City, Ontario, Canada, bus transit network. The results demonstrate that BEB system configuration and GHG emissions vary significantly according to the optimization perspective. Moreover, the findings emphasize the importance of using the energy storage system to reduce electricity costs and GHG emissions. • Assess the impacts of optimization approaches on the BEB system configuration. • Investigate the benefits of implementing ESS in BEB system configuration. • Propose an integrated BEB system planning and operation optimization model. [ABSTRACT FROM AUTHOR]

In the current condition, hydrogen energy has the potential to be a sustainable fuel for the future as energy becomes more important every day. As the population grows and the economy expands, energy consumption is increasing. However, greenhouse gas emissions are also a concern. One solution to these problems is the use of clean energy sources, like renewable energy. Hydrogen is a clean alternative fuel that produces no carbon dioxide emissions. It is made from organic waste through biochemical and thermochemical techniques, with dual waste management and energy generation benefits. This article explores different methods for producing hydrogen from different feedstocks. The focus is on bio-hydrogen technology as an eco-friendly and sustainable energy source, and the article evaluates the technology commercialization and research initiatives that have measured its helpfulness for researchers and industrialists. The article reviews previous research on biohydrogen generation methods and assesses their stage of development using technology readiness levels (TRLs). This assessment provides insight into areas for technical improvement in biohydrogen generation and future research initiatives. [ABSTRACT FROM AUTHOR]

The increase in greenhouse gas emissions, mainly CO2 is one of the current concerns. Agri-municipal solid waste (MSW) based biomass is a promising eco-friendly alternative source of renewable energy to mitigate the twin problems of fossil fuel depletion and environmental degradation due to CO2 emissions. An integration of mixed fuel-based (coal+biomass) power generation with algal CO2 capture is expected to reduce the CO2 emission. In addition algal biomass, a rich resource of fuel and biochemicals, is produced. This article focuses on the analysis of energy and environmental performance of an integrated system of 30 TPD integrated gasification combined cycle (IGCC) power plant, co-fired with Indian coal and Agri-MSW, and microalgal CO2 capture (70%) unit using three algal strains, namely, Chlorella Vulgaris, Nannochloropsis spp and Scenedesmus spp. The analyses have been performed considering the use of (a) in-house power and (b) grid power for the algal unit individually using Chlorella Vulgaris, Nannochloropsis spp and Scenedesmus using ASPEN Plus modelling. It is expected that the results of the analysis will be helpful in designing an integrated system of coal-biomass based IGCC power plants with algal CO2 capture units using different varieties of biomass and algal strains. [ABSTRACT FROM AUTHOR]

The global expansion of the bioenergy industry raises concerns, emphasizing the need for careful evaluation and sustainable management. To facilitate this, life cycle assessments beyond greenhouse gas emissions and energy balance are essential, along with the standardization of assessment methodologies to enable meaningful comparisons. Here, we review life cycle assessment, chemical aspects, and policy implication of bioenergy production. We discuss life cycle assessment in terms of concepts, methods, impacts, greenhouse gases, land use, water consumption, bioethanol, biodiesel, biogas, and techno-economic analysis. Chemical aspects comprise reaction processes and means to improve efficiency. Concerning policies, tools, and frameworks that encourage sustainable energy production are presented. We found that carbon dioxide removal ranges from 45 to 99% in various bioenergy processes. The review also emphasizes the importance of chemistry in advancing sustainable bioenergy production for a more sustainable and secure energy future. [ABSTRACT FROM AUTHOR]

To achieve carbon neutrality, the Chinese government needs to gain a comprehensive understanding of the sources and drivers of greenhouse gas (GHG) emissions, particularly at the county level. Anji County in eastern China is a typical example of an industrial transformation from quarrying to a low-carbon economy. This study analyzed the decoupling types and structural characteristics of GHG emissions and the driving factors of carbon dioxide (CO 2) emissions in the Anji from 2006 to 2019, and explored the differences between county-level and provincial-level or city-level results. It was observed that energy-related activities are the main source of GHG emissions in Anji and that economic development is the driving factor behind the increasing CO 2 emissions. However, industrial transformation and upgradation coupled with the alternative use of clean energy limit the growth of GHG emissions. This study details the GHG emissions of county during the industrial transformation stage and provides corresponding policy recommendations for county governments. [ABSTRACT FROM AUTHOR]

• Accounting methods of agricultural methane are summarized. • Influencing factors of emission sources from agricultural sources were analyzed. • Mitigation strategies based on accounting and actual situation are proposed. Methane is one of the major greenhouse gases (GHGs) and agriculture is recognized as its primary emitter. Methane accounting is a prerequisite for developing effective agriculture mitigation strategies. In this review, methane accounting methods and research status for various agricultural emission source including rice fields, animal enteric fermentation and livestock and poultry manure management were overview, and the influencing factors of each emission source were analyzed and discussed. At the same time, it analyzes the different research efforts involving agricultural methane accounting and makes recommendations based on the actual situation. Finally, mitigation strategies based on accounting results and actual situation are proposed. This review aims to provide basic data and reference for agriculture-oriented countries and regions to actively participate in climate action and carry out effective methane emission mitigation. [Display omitted] [ABSTRACT FROM AUTHOR]

• The correlation between CO 2 emission and ambient temperature is linear. • The effect of temperature and load on CO 2 emission can be quantified. Because of global warming, people have paid more attention to greenhouse gas emitted by vehicles. To quantify the impact of temperature on vehicle CO 2 emissions, this study was conducted using the world light vehicle test cycle on two light-duty E10 gasoline vehicles at ambient temperatures of -10, 0, 23, and 40℃, and found that CO 2 emission factors of Vehicle 1 in the low-speed phase were 22.07% and 20.22% higher than those of Vehicle 2 at cold start and hot start under -10℃. The reason was vehicle 1 had a larger displacement and more friction pairs than vehicle 2. There was the highest CO 2 emission at the low-speed phase due to low average speed, frequent acceleration, and deceleration. The CO 2 temperature factor and the ambient temperature had a strong linear correlation (R 2 = 0.99). According to CO 2 temperature factors and their relationships, CO 2 emission factors of other ambient temperatures could be calculated when the CO 2 emission factor of 23℃ was obtained, and the method also could be used to obtain the CO 2 temperature factors of different vehicles. To separate the effect of load setting and temperature variation on CO 2 emission quantitatively, a method was proposed. And results showed that the load setting was dominant for the CO 2 emission variation. Compared with 23℃, the CO 2 emission for vehicle 1 caused by load setting variation were 62.83 and 47.42 g/km, respectively at -10 and 0℃, while those for vehicle 2 were 45.01 and 35.63 g/km, respectively. [Display omitted] [ABSTRACT FROM AUTHOR]

• Coal, sawdust and their mixtures were combusted in the fluidized bed of catalyst. • Addition of biomass increase the burnout degree up to 99.9% at 750 °С. • Addition of biomass decrease the environmental impact of combustion. • Combustion at 750 °C with the highest amount of sawdust is the most profitable. • Presence of CaO and MgO prevents SOx emission and slagging of heat exchange surfaces. The work is devoted to the study of combustion of brown coal, pine sawdust, and their mixtures in a fluidized bed of catalyst at 600–750°С. It is shown that an increase in the content of sawdust in a mixture with brown coal leads to an increase in the burnout degree of solid fuel from 94.4% to 99.9%, while the emission of greenhouse gases in the form of CO 2 CO and NO x is reduced (CO 2 from the biomass is not included in the balance). The high content of alkaline earth metal oxides (CaO and MgO) in the mineral part of brown coal, sawdust, and their mixtures eliminates the emission of sulfur oxides and the slagging of heat-exchange surfaces during the combustion in a fluidized bed of catalyst. The optimal temperature, when the highest burnout degree of the above fuels is achieved in the combustion is 750°С. It is also shown that the increase in temperature and the content of sawdust in the composition of the fuel mixtures has a positive effect on the economic and environmental process indicators. [Display omitted] [ABSTRACT FROM AUTHOR]

The increasing anthropogenic emissions of greenhouse gases (GHG) is encouraging extensive research in CO 2 utilisation. Dry reforming of methane (DRM) depicts a viable strategy to convert both CO 2 and CH 4 into syngas, a worthwhile chemical intermediate. Among the different active phases for DRM, the use of nickel as catalyst is economically favourable, but typically deactivates due to sintering and carbon deposition. The stabilisation of Ni at different loadings in cerium zirconate inorganic complex structures is investigated in this work as strategy to develop robust Ni-based DRM catalysts. XRD and TPR-H 2 analyses confirmed the existence of different phases according to the Ni loading in these materials. Besides, superficial Ni is observed as well as the existence of a CeNiO 3 perovskite structure. The catalytic activity was tested, proving that 10 wt.% Ni loading is the optimum which maximises conversion. This catalyst was also tested in long-term stability experiments at 600 and 800°C in order to study the potential deactivation issues at two different temperatures. At 600°C, carbon formation is the main cause of catalytic deactivation, whereas a robust stability is shown at 800°C, observing no sintering of the active phase evidencing the success of this strategy rendering a new family of economically appealing CO 2 and biogas mixtures upgrading catalysts. [Display omitted] [ABSTRACT FROM AUTHOR]

Food production plays a central role in the health of humanity and our environment. New Zealand produces a large amount of food, but it is unknown if it can produce enough of the right crops in the places to better the health of New Zealanders, profitably, while maintaining New Zealand's primary production exports and meeting ambitions to lower greenhouse gas (GHGs) emissions and nutrient losses to water. We tested two scenarios that aimed at delivering a healthy diet while maximising profit and minimising GHGs (climate-focused scenario) or losses of nitrogen (N) and phosphorus (P) to water (freshwater-focused scenario). Land use change was targeted to areas not currently meeting bottom lines for N or P loss but needed to spill over to other areas to meet dietary targets in both scenarios. The maximum cost of the required land use change was about 1% of the primary sector's export revenues, and orders of magnitude less than the estimated savings for the health system from an optimised diet. We conclude that shifting productive land uses can help meet environmental targets for GHGs, N and P while saving money and improving the health of its people. [ABSTRACT FROM AUTHOR]

Controlled machinery traffic is a technique to increase the efficiency of machines and make better use of inputs. This study evaluated the pollutant gas emissions of an agricultural tractor towing a precision seeder-fertilizer with different plow configurations in an area with varying intensities of controlled machinery traffic. The study was carried out in a commercial agricultural area located in the municipality of Carazinho, Brazil. The experimental design was of randomized 3 x 3 blocks, with three traffic situations (tractor traffic; tractor + harvester traffic; and tractor + harvester + sprayer traffic), as well as three plow settings. The pollutant gases analyzed were: particulate material (PM), nitrogen oxides (NOx), carbon dioxide (CO2), and oxygen (O2). We concluded that greater controlled traffic intensity, compared to an area without traffic, yields a PM reduction of 43% using the double disk, and 67% using the double disk without a ridge plow. The absence of plows on the traffic lines reduces the PM, NOx, and CO2 emissions by, respectively, 73%, 12%, and 17% with tractor + harvester traffic; and 80%, 12%, and 15% with tractor + harvester + sprayer traffic, compared to cultivation using ridge plows. [ABSTRACT FROM AUTHOR]

Ensuring global food security under present and futuristic scenario of climate change accompanied by expanding population is of major concern worldwide. Researchers across the world are focusing on sustainable agronomic practices to combat climate change induced issues like desertification, reduction in crop yield, pest outbreaks, and reduction in soil health. Biochar has demonstrated positive effects on plant growth, development, fruit quality, carbon capture and sequestration. Studies indicate that biochar amendments to soil can enhance soil health, plant growth and development as well as help in combating abiotic stressors. Biochar has several properties that make it an attractive soil amendment, including high porosity, surface area, water-holding capacity, and the ability to increase soil microbiota, which in turn can promote nutrient uptake and reduce soil erosion. Environmentally, biochar's ability to degrade organic pollutant as well as sequester carbon makes it a very attractive addition to sustainable agriculture. Nonetheless, biochar has also been reported to have potential hazardous impacts on human health associated with possible leakage of toxic elements and particulate matter pollution. However, lack of exhaustive studies that detail all the major aspects of biochar application in agroecosystem impedes decision making on its overall usability in agriculture. There exists a need for comprehensive review that cover all the important aspects of biochar supplementation. This review provides a thorough overview of the multifaceted impacts of biochar, encompassing its positive effects on soil, plant growth, development and environment, while also exploring the limitations along with potential toxic effects associated with its application. [ABSTRACT FROM AUTHOR]

Restoring wild communities of large herbivores is critical for the conservation of biodiverse ecosystems, but environmental changes in the twenty-first century could drastically affect the availability of habitats. We projected future habitat dynamics for 18 wild large herbivores in Europe and the relative future potential patterns of species richness and assemblage mean body weight considering four alternative scenarios of socioeconomic development in human society and greenhouse gas emissions (SSP1–RCP2.6, SSP2–RCP4.5, SSP3–RCP7.0, SSP5–RCP8.5). Under SSP1–RCP2.6, corresponding to a transition towards sustainable development, we found stable habitat suitability for most species and overall stable assemblage mean body weight compared to the present, with an average increase in species richness (in 2100: 3.03 ± 1.55 compared to today′s 2.25 ± 1.31 species/area). The other scenarios are generally unfavourable for the conservation of wild large herbivores, although under the SSP5–RCP8.5 scenario there would be increase in species richness and assemblage mean body weight in some southern regions (e.g. + 62.86 kg mean body weight in Balkans/Greece). Our results suggest that a shift towards a sustainable socioeconomic development would overall provide the best prospect of our maintaining or even increasing the diversity of wild herbivore assemblages in Europe, thereby promoting trophic complexity and the potential to restore functioning and self-regulating ecosystems. This article is part of the theme issue 'Ecological novelty and planetary stewardship: biodiversity dynamics in a transforming biosphere'. [ABSTRACT FROM AUTHOR]

Hydrogen (H 2) is essential for eliminating fossil fuel energy systems. It can be generated through various technological processes and from diverse sources. There is a scarcity of exhaustive studies that examine every available cutting-edge technology for hydrogen (H 2) production, including the challenges associated with each process and their economic viability and sustainability. Thus, by addressing these issues, the present study ensures that future research is effectively directed toward H 2 production technique enhancement. Conventional processes have substantial greenhouse gas emissions due to high production costs and limited efficiency. Water splitting offers one of the most ecologically benign manufacturing techniques when combined with renewable energy sources. While it is costly, it is plagued by hazardous byproducts that reduce efficiency. Nanoengineering catalyst techniques significantly impact green hydrogen generation due to their ability to unveil physical characteristics and structure-performance correlations. Further investigation is required to optimize machine learning performance in biohydrogen formation and H 2 storage systems that are durable enough to accommodate long-distance distribution networks with sufficient fueling stations and enhance the role of nanocatalysts in renewable energy-based H 2 production systems. [Display omitted] • The review covers the challenges of recent contributions to H2 manufacturing. • The role of machine learning to optimize biohydrogen production. • The role of nanocatalysts in water splitting and biohydrogen production. • Perspectives to overcome biohydrogen production challenges. [ABSTRACT FROM AUTHOR]

To enhance residential sustainability by providing decarbonized and locally produced energy to a residential district, the relevance of a grid-connected multi-energy system, including PV panels, a battery, an electrolyzer, a hydrogen tank, and a fuel cell, is studied. A model is developed that creates high-resolution, continuous yearly profiles. The model is then utilized in a metaheuristic multi-objective optimization based on total cost and life cycle greenhouse gas emissions to highlight sizing trends. In the results, the most cost-efficient solutions rely mostly on PV power with minimal battery storage capacity, whereas hydrogen systems are necessary to achieve the best emission reductions. The analysis does not identify a promising prospect for seasonal energy storage with the current tank and battery lifetime emissions. Producing more than 65 % of the energy demand locally is not deemed beneficial. [Display omitted] • Modeling of annual stochastic, high-resolution, and coherent domestic load profiles. • Modeling of a multi-energy system directly coupled with the domestic load model. • Metaheuristic cost and emission optimization of a hydrogen-based multi-energy system. • Seasonal energy storage does not perform well on the life cycle emission side. • Hydrogen systems perform well on the emission side but are not currently cost-effective. [ABSTRACT FROM AUTHOR]

Background: Assessing the trends in dietary GHGE considering the social patterning is critical for understanding the role that food systems have played and will play in global emissions in countries of the global south. Our aim is to describe dietary greenhouse gas emissions (GHGE) trends (overall and by food group) using data from household food purchase surveys from 1989 to 2020 in Mexico, overall and by education levels and urbanicity. Methods: We used cross-sectional data from 16 rounds of Mexico's National Income and Expenditure Survey, a nationally representative survey. The sample size ranged from 11,051 in 1989 to 88,398 in 2020. We estimated the mean total GHGE per adult-equivalent per day (kg CO2-eq/ad-eq/d) for every survey year. Then, we estimated the relative GHGE contribution by food group for each household. These same analyses were conducted stratifying by education and urbanicity. Results: The mean total GHGE increased from 3.70 (95%CI: 3.57, 3.82) to 4.90 (95% CI 4.62, 5.18) kg CO2-eq/ad-eq/d between 1989 and 2014 and stayed stable between 4.63 (95% CI: 4.53, 4.72) and 4.89 (95% CI: 4.81, 4.96) kg CO2-eq/ad-eq/d from 2016 onwards. In 1989, beef (19.89%, 95% CI: 19.18, 20.59), dairy (16.87%, 95% CI: 16.30, 17.42)), corn (9.61%, 95% CI: 9.00, 10.22), legumes (7.03%, 95% CI: 6.59, 7.46), and beverages (6.99%, 95% CI: 6.66, 7.32) had the highest relative contribution to food GHGE; by 2020, beef was the top contributor (17.68%, 95%CI: 17.46, 17.89) followed by fast food (14.17%, 95% CI: 13.90, 14.43), dairy (11.21%, 95%CI: 11.06, 11.36), beverages (10.09%, 95%CI: 9.94, 10.23), and chicken (10.04%, 95%CI: 9.90, 10.17). Households with higher education levels and those in more urbanized areas contributed more to dietary GHGE across the full period. However, households with lower education levels and those in rural areas had the highest increase in these emissions from 1989 to 2020. Conclusions: Our results provide insights into the food groups in which the 2023 Mexican Dietary Guidelines may require to focus on improving human and planetary health. [ABSTRACT FROM AUTHOR]

Gas flaring (GasF) is an important aspect of the combustion mechanisms in the burning of related, undesirable, or surplus fluids (gases in particular) that are released during the ordinary or unexpected overpressuring process in several industrial activities, specifically in the petroleum resource (PTR) industries. It is also one of the major sources of greenhouse gas emissions which cause climate change (CMC). In addition to the generation of noise and heat, it makes substantial adjacent areas uninhabitable and, hence, causes detrimental consequences to the entire ecosystem as well as waste energy and results in economic losses. Reducing GasF is a critical issue due to its ensuing complications; consequently, there is a tenacious need to measure GasF via the study of its composition, distribution, and capacity, as well as the utilization of appropriate GasF recovery/removal procedures. The present review study will, thus, attempt to assess the impacts of GasF on the environment vis-à-vis the possible nexus between GasF/CMC using the perspective of the Niger Delta region of Nigeria which is rich in PTR, with relevant information drawn from existing publications. The roles of government, policymakers, and relevant stakeholders as well as suggestions and recommendations that will assist in the extenuation approaches and technologies of the influence of GasF on the environment are also discussed. [ABSTRACT FROM AUTHOR]

The Tibetan Plateau (TP) is an area highly sensitive to climate change and is warming faster than the global average. The TP temperature change has a significant impact on the local ecological environment and the downstream weather and climate. The TP will undoubtedly warm in the future, but the warming extent is uncertain. Using the Coupled Model Inter‐comparison Project Phase 6 multi‐model ensemble, we found that models simulating smaller TP temperature increases in recent decades tend to project weaker warming in the future. This relationship is driven by the simulation of snowmelt response to greenhouse gas increases, as snow‐related albedo feedback dominates the TP temperature changes in both historical and future periods. Based on a two‐step emergent constraint approach, the rectified TP warming magnitude increases by about 0.3°C compared to the unconstrained result under both the medium and high emission scenarios, and the inter‐model uncertainty is reduced by about 60%. Plain Language Summary: The Tibetan Plateau (TP), known as "the third pole of the world," is the highest terrain on Earth. It has experienced a rapid increase in surface temperature over the past few decades, which has significantly impacted the local ecological environment and downstream weather and climate. Therefore, how the surface temperature of the TP will change in the future is of concern to both the scientific community and society at large. Although a future warming trend over the TP is evident in model projections, the extent of this warming remains highly uncertain. Based on a multi‐model ensemble, we found that the projected temperature change over the TP during the boreal winter is significantly influenced by the simulation of TP temperature changes in recent decades, which is related to model sensitivities in simulating the snowmelt rate in response to greenhouse gas increases. Removing the model bias using observations would further increase the projected future warming over the TP, meaning that humanity will face greater challenges. Key Points: A two‐step emergent constraint (EC) technique is developed for projections of the Tibetan Plateau (TP) warming in the boreal winterThe EC arises from model sensitivities in simulating snow cover change in response to greenhouse gas increasesConstrained results effectively reduce inter‐model uncertainty and show stronger warming over the TP than the original results [ABSTRACT FROM AUTHOR]

Simple Summary: The United Nations' goals for sustainability, like Zero Hunger by 2030, urge us to find new ways to produce food without harming nature. As traditional resources for feed, like soymeal and fishmeal, become scarcer and more expensive, exploring alternative protein sources is one options. Research on using insect meal instead of fishmeal shows promise in terms of animal growth and feed efficiency. This paper assesses the socio-economic benefits and costs of production of insect meal to substitute fishmeal in feed, while also focusing on factors that would affect performance most. The study evaluates the economic value of insect-based products, waste, and greenhouse gas reduction as socio-economic benefits. Data from laboratory trials and case studies on black soldier fly and yellow mealworm reveal negative balances of socio-economic benefits and costs; however, it is possible that upscaling and more effective technologies could move this positively. Changes in nutrient market values could also shift the balance as well as prevent impact on marine ecosystems from reduction fishery; this was not evaluated but could contribute to the overall outcome. Thus, although the current assessment shows a negative balance, it does not necessarily mean that the production of insect meal for feed is not beneficial for society in the long term. Sustainability targets set by the United Nations, such as Zero Hunger by 2030, encourage the search for innovative solutions to enhance food production while preserving the environment. Alternative protein sources for feed, while conventional resources like soymeal and fishmeal become more expensive and scarcer, is one of the possibilities. Studies on substituting fishmeal with insect meal show promising results in terms of animal growth and feed efficiency. This paper aims to assess the socio-economic benefits and costs of insect meal substituting fishmeal in feed and to highlight the factors influencing performance most. The study evaluates the economic value of insect-based products, waste reduction, and reduced greenhouse gas emissions as socio-economic benefits. It combines empirical data derived from laboratory trials and two case studies covering black soldier fly (Hermetia illucens) and yellow mealworm (Tenebrio molitor). Current analyses reveal negative socio-economic balances, emphasizing that reduction of operating and investment costs through upscaling and technological advancements can give a positive move, as well as factors such as current market valuations for nutrients can change significantly. Thus, a negative balance at the moment does not mean that insect rearing, and larva processing are not desirable from a long-term socio-economic perspective. [ABSTRACT FROM AUTHOR]

Egypt has the potential to generate a significant amount of energy from renewable technologies, in particular solar PV, concentrated solar power (CSP), and onshore and offshore wind. The energy sector is reliant on fossil fuels, particularly natural gas, for electricity production and is at risk of locking itself into a high carbon pathway. Globally, reducing greenhouse gas (GHG) emissions associated with national energy sectors is a target outlined in the UN's Paris Agreement. To reduce carbon dioxide (CO2) emissions associated with a higher dependence on fossil fuels, Egypt must consider upscaling renewable energy technologies (RETs) to achieve a clean energy transition (CET). This research modelled six scenarios using clicSAND for OSeMOSYS to identify the technologies and policy target improvements that are needed to upscale RETs within Egypt's energy sector. The results showed that solar PV and onshore wind are key technologies to be upscaled to contribute towards Egypt's CET. The optimal renewable target is the International Renewable Energy Agency's (IRENA) target of 53% of electricity being sourced from RETs by 2030, which will cost USD 16.4 billion more up to 2035 than Egypt's current Integrated Sustainable Energy Strategy (ISES) target of 42% by 2035; it also saves 732.0 MtCO2 over the entire modelling period to 2070. Socio-economic barriers to this transition are considered, such as recent discoveries of natural gas reserves combined with a history of energy insecurity, political instability impacting investor confidence, and a lack of international climate funding. The paper concludes with policy recommendations that would enable Egypt to progress towards achieving a CET. [ABSTRACT FROM AUTHOR]

The transport sector is under scrutiny because of its significant greenhouse gas emissions. Essential strategies, particularly the adoption of zero- and low-emission vehicles powered by electricity, are crucial for mitigating emissions in road transport. Pickups, which are integral to Mexico's fleet, contribute to such emissions. Thus, implementing effective policies targeting pickups is vital for reducing air pollution and aligning with Mexico's decarbonization objectives. This paper presents a simulation model based on system dynamics to represent the adoption process of zero- and low-emission vehicles, with a focus on pickups and utilizing data from the Mexican case. Three policy evaluation scenarios are proposed based on the simulation model: business as usual; disincentives for zero- and low-emission vehicles; and incentives for unconventional vehicles. One of the most significant findings from this study is that even in a scenario with a greater number of vehicles in circulation, if the technology is fully electric, the environmental impact in terms of emissions is lower. Additionally, a comprehensive sensitivity analysis spanning a wide spectrum is undertaken through an extensive computational process, yielding multiple policy scenarios. The analysis indicates that to achieve a maximal reduction in the country's emissions, promoting solely hybrid electric vehicles and plug-in hybrid electric vehicles is advisable, whereas internal combustion engines, vehicular natural gas, and battery electric vehicles should be discouraged. [ABSTRACT FROM AUTHOR]

Transformative actions are crucial across all sectors emitting greenhouse gases. Nonetheless, energy transition research to date displays a notable imbalance, with a larger emphasis on the supply side than on the demand side. The present study addresses this inequity by focusing on residential sector space heating demand, a frequently overlooked energy service that currently contributes substantially to global greenhouse gas emissions. Our primary objective is to pinpoint effective climate policies and space heating strategies that align with the EU's ambitious targets for emission reduction. We employ the recently developed TIMES-Europe model to conduct a comprehensive analysis of the residential sector's policy frameworks, technological advancements, and associated costs. This analysis aims to determine the measures necessary to meet ambitious climate objectives within the European context. To achieve this, we formulate four distinct scenarios, each representing varying levels of ambition and collaboration among EU member states, thereby providing insight into the pathways toward achieving these targets. By implementing current intended EU policies on the renovation of dwellings, we project a substantial reduction of at most 850 PJ, or, i.e., a 19% decrease, in yearly energy demand for space heating between 2020 and 2050. In contrast, if the recent pace of dwelling renovation within the EU were to continue, space heating energy savings from renovation would only amount to less than 400 PJ/yr (i.e., a 9% reduction) in the same period. In our more ambitious climate scenarios, phasing out fossil fuels leads to widespread electrification of the European residential sector, and by 2050, electricity from heat pumps and electric boilers accounts for over 68% of the total residential sector space heating demand. The outcomes of our study underline the importance of implementing the currently planned EU policies. We also demonstrate the necessity for collaboration among EU member states in order to attain the common European climate targets under the most effective resource allocation. [ABSTRACT FROM AUTHOR]

Despite efforts to mitigate climate change, annual greenhouse gas emissions continue to rise, which may lead to the global warming of our planet. Buildings' thermal energy needs are inherently linked to climate conditions. Consequently, it is crucial to evaluate how climate change affects these energy demands. Despite extensive analysis, a comprehensive assessment involving a diverse range of building types has not been consistently conducted. The primary objective of this research is to perform a coherent evaluation of the influence of climate changes, construction element properties, and the Heating, Ventilation, and Air Conditioning (HVAC) system type of control on the energy requirements of six buildings (residential, services, and commercial). The buildings are considered to be located in a temperate Mediterranean climate. Our focus is on the year 2070, considering three distinct climatic scenarios: (i) maintaining the current climate without further changes, (ii) moderate climate changes, and (iii) extreme climate changes. The buildings are distributed across three different locations, each characterized by unique climatic conditions. Buildings' envelope features a traditional External Thermal Insulation Composite System (ETICS) and expanded polystyrene (EPS) serves as thermal insulation material. Two critical design factors are explored: EPS thickness ranging from 0 (no insulation) to 12 cm; and horizontal external fixed shading elements varying lengths from 0 (absence) to 150 cm. Six alternative setpoint ranges are assessed for the HVAC system control: three based on the Predicted Mean Vote (PMV) and three based on indoor air temperature (Tair). Results were obtained with a validated in-home software tool. They show that, even under extreme climate conditions, the application of thermal insulation remains energetically favorable; however, its relative importance diminishes as climate severity increases. Then, proper insulation design remains important for energy efficiency. The use of external shading elements for glazing (e.g., overhangs, louvers) proves beneficial in specific cases. As climate changes intensify, the significance of shading elements grows. Thus, strategic placement and design are necessary for good results. The HVAC system's energy consumption depends on the level of thermal comfort requirements, on the climate characteristics, and on the building's type of use. As climate change severity intensifies, energy demands for cooling increase, whereas energy needs for heating decrease. However, it is essential to recognize that the impact of climate changes on HVAC system energy consumption significantly depends on the type of building. [ABSTRACT FROM AUTHOR]

Air pollutants and greenhouse gases (GHGs) represent major challenges in our era, contributing to climate change and global health issues. These problems arise from a variety of well-known sources, including motor vehicles. Almost all nations, Thailand included, have formulated and implemented policies to curb greenhouse gas (GHG) emissions in line with the requirements and commitments of the Paris Agreement. The evaluation of specific air pollutants and GHG emissions originating from road vehicles utilises the Thailand database, referencing the year 2019. Data intersections from 2019 to 2022 are grounded in actual data collected from relevant departments in Thailand, while projections for 2023–2030 are forecasted based on the baseline year. The secondary database used in the International Vehicle Emission model is adjusted according to real-world driving data to accurately reflect country-specific emission factors. Dynamic emission factors for specific air pollutants and GHGs are evaluated and integrated with the average Vehicle Kilometres Travelled (VKT) for each vehicle category. The Business-As-Usual (BAU) scenario is then examined, based on existing policies aimed at reducing air pollutants and GHG emissions in Thailand's transport sector. These policies include strategies for the adoption of electric vehicles and the promotion of public transport to reduce VKT. Under the BAU scenario, the overall number of road vehicles in Thailand, including passenger cars, motorcycles, pickups, vans, trucks, and buses, is expected to increase by approximately 6.58% by 2030, leading to a rise in specific air pollutants and GHG emissions compared to the 2019 baseline. However, by adhering to Thailand's strategies and transitioning to new electric passenger cars and buses, greenhouse gas emissions and specific air pollutants from the road transport sector will be significantly reduced. [ABSTRACT FROM AUTHOR]

Reductions in energy consumption and greenhouse gas emissions are required globally. Under this background, the Multilayer Perceptron machine-learning algorithm was used to predict liquid natural gas consumption to improve energy consumption efficiency. Setting hyperparameters remains challenging in machine-learning-based prediction. Here, to improve prediction efficiency, hyperparameter autotuning via Bayesian optimization was used to identify the optimal combination of the eight key hyperparameters. The autotuned model was validated by comparing its predictive performance with that of a base model (with all hyperparameters set to the default values) using the coefficient of variation of root-mean-square error (CvRMSE) and coefficient of determination (R2) based on the Measurement and Verification Guideline evaluation metrics. To confirm the model's industrial applicability, its predictions were compared with values measured at a small-to-medium-sized food factory. The optimized model performed better than the base model, achieving a CvRMSE of 12.30% and an R2 of 0.94, and achieving a predictive accuracy of 91.49%. By predicting energy consumption, these findings are expected to promote the efficient operation and management of energy in the food industry. [ABSTRACT FROM AUTHOR]

Energy management strategies play a crucial role in enhancing the fuel efficiency of hybrid electric vehicles (HEVs) and mitigating greenhouse gas emissions. For the current commonly used time horizon optimization methods that only target the trend curve of the optimal battery state of charge (SOC) trajectory obtained offline, which are only suitable for buses with known future driving conditions, this paper proposed an energy management strategy based on an adaptive network-based fuzzy inference system (ANFIS) that optimizes the time horizon length and enhances adaptability to driving conditions by integrating historical vehicle velocity, accelerations, and battery SOC trajectory. First, the vehicle velocity prediction model based on the radial basis function (RBF) neural network is used to predict the future velocity sequence. After that, ANFIS was used to optimize and update the length of the forecast time horizon based on the historical vehicle velocity sequence. Finally, compared with the fixed time horizon energy management strategy, which is based on model predictive control (MPC), the average calculation time of the energy management strategy is reduced by about 23.5%, and the fuel consumption per 100 km is reduced by about 6.12%. [ABSTRACT FROM AUTHOR]

• UAVs used for methane flux quantification at a landfill site. • Methane emissions measured: 150.7 kg h−1, with a 1σ uncertainty range of 83.0 kg h−1 to 209.5 kg h−1. • Refined UAV-based mass balance flux method. • Study addresses UAV onboard wind measurements. Accurate quantification of methane emissions from landfills is crucial for improving greenhouse gas inventories and mitigating climate change impacts. Existing methodologies, such as theoretical gas production models and labour-intensive measurement approaches, present limitations including large uncertainties and high operational costs. This study adds to a growing body of research and applications which aim to bridge this gap. To this end, we present a case study using Unmanned Aerial Vehicles (UAVs) equipped with methane and wind instrumentation for a survey of a landfill site in Bury, Manchester, UK, in summer 2022, in order to evaluate and reflect the challenges of the UAV-based mass balance method for quantification of methane emissions from a large heterogeneous source such as landfill. This study offers guidance on defining an appropriate methane background concentration, geospatial interpolation of sampled date, survey sampling strategy, and more importantly, addresses the challenges surrounding UAV wind measurements and spatial characterisation of emission plumes. For the period of the case study, we quantified methane flux for the landfill site to be 150.7 kg h−1 with a 1 standard deviation uncertainty range of 83.0 kg h−1 to 209.5 kg h−1. [ABSTRACT FROM AUTHOR]

• MAA introduces unsaturated carboxylate metal salt bonds on the steel slag surface. • MAA etching of steel slag to make it loose and porous. • Steel slag can shorten the vulcanization molding cycle. • The performance of MAA-in-situ-m-SS filled natural rubber was significantly improved. • MAA-in-situ-m-SS can partially replace carbon black as a rubber filler. As a by-product of the steelmaking industry, the large-volume production and accumulation of steel converter slag cause environmental issues such as land occupation and dust pollution. Since metal salts of unsaturated carboxylic acid can be used to reinforce rubber, this study explores the innovative application of in-situ modified steel slag, mainly comprising metal oxides, with methacrylic acid (MAA) as a rubber filler partially replacing carbon black. By etching the surface of steel slag particles with MAA, their surface roughness was increased, and the chemical bonding of metal methacrylate salt was introduced to enhance their interaction with the molecular chain of natural rubber (NR). The results showed that using the steel slag filler effectively shortened the vulcanization molding cycle of NR composites. The MAA in-situ modification effectively improved the interaction between steel slag and NR molecular chains. Meanwhile, the physical and mechanical properties, fatigue properties, and dynamic mechanical properties of the experimental group with MAA in-situ modified steel slag (MAA-in-situ-m-SS) were significantly enhanced compared with those of NR composites partially filled with unmodified slag. With the dosage of 7.5 phr or 10 phr, the above properties matched or even exceeded those of NR composites purely filled with carbon black. More importantly, partially replacing carbon black with modified steel slag reduced fossil fuel consumption and greenhouse gas emission from carbon black production. This study pioneered an effective path for the resourceful utilization of steel slag and the green development of the steelmaking and rubber industries. [ABSTRACT FROM AUTHOR]

Greenhouse gases monitoring is important to ensure climate goals are being achieved. This study unveils the potential of using atmospheric tall towers in direct flux measurements, bridging the gap between atmospheric and ecosystem monitoring networks. The ICOS Cities (PAUL) project aims to monitor CO2 emissions in urban areas, where concentrated emissions make them key targets for climate change mitigation. This study explores synergy between ICOS atmospheric and ecosystem networks by utilizing slow-response analysers (~2 sec) on tall atmospheric towers for ecosystem studies using the Eddy Covariance method. A standard setup with an ultrasonic anemometer and an infrared (IR) fast-response CO2 analyser was installed and compared with measurements from an existing cavity ring down spectroscopy (CRDS) analyser measuring CO2, CO, and CH4. Deployed on the 100 m Saclay tower near Paris, covering a 43.9 km² 80 % footprint with heavy traffic roads, a nearby heating plant, and a forest, the setup addressed technical challenges and height-induced complexities. Corrections for flux attenuation by high frequency losses were limited to <20 % on average for all stabilities, around 11 % for unstable conditions. Wavelet-based eddy covariance allowed 18–34 % more data exploitation than standard EC enabling the analysis of non-stationary fluxes, particularly from a point source such was the case of a heating plant. The estimated storage term produced by atmospheric profiling measurements reported an expected increase at night, destocking during the first half of the day. Storage term represented at times more than half of the surface flux. Elevated mean fluxes for CO2 (10 μmolm−2s−1) and CH4 (200 nmolm−2s−1) were observed from the heating plant wind direction during December and January. Conversely, the forest direction exhibited the strongest sink among all wind directions, with −4 μmolm−2s−1 during July and August. These results demonstrate the feasibility and versatility of utilizing atmospheric towers for urban emission monitoring, offering valuable insights for emission monitoring strategies worldwide. [ABSTRACT FROM AUTHOR]