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The demand of air conditioning is increasing due to the effect of climate change and global warming. If we still rely on the conventional electric air conditioning it will be harmful in future because electricity is generated from fossil fuels, the greenhouse gas emission would continuously worsen global warming, in turn the demand of air conditioning would be further increasing. Also the rate of electricity is increased by 6 which will goes on increasing in future. The solar powered air conditioners which are available in market are direct current air conditioners, we are designing a system for running a current air conditioner on solar which runs on alternate current. So in order to reduce the global warming and the green house gas emission effect we should adopt the natural way for the generation of electricity which in turn reduces the cost of electricity by conventional way. As the temperature of the earth is increasing day by day, the need of cooling is also increasing. But the bitter truth is that the temperature of earth is always goes on increasing. So in future there should be the need of centralized air conditioning. And as temperature increases we will get more amount of solar energy. Saraf Akshay Avinash "Design of Solar Powered Air Conditioning System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23347.pdf

Fever may aggravate secondary brain injury after traumatic brain injury (TBI). The aim of this study was to identify episodes of temperature increases through visual plot analysis and algorithm supported detection, and to describe associated patterns of changes in on brain tissue oxygen tension (PbtO2). Data derive from the high-resolution cohort of the multicenter prospective Collaborative European NeuroTrauma Effectiveness Research in TBI (CENTER-TBI) study. Temperature increases (≥0.5°C) were visually identified in 33 patients within the first 11 days of monitoring. Generalized estimating equations were used to detect significant changes of systemic and neuromonitoring parameters from baseline to the highest temperature. Patients were median 50 (interquartile range [IQR], 35-62) years old, and presented with a Glasgow Coma Scale (GCS) of 8 (IQR, 4-10). In 202 episodes of temperature increases, mean temperature rose by 1.0°C ± 0.5°C within 4 hours. Overall, PbtO2 slightly increased (ΔPbtO2 = 0.9 ± 6.1 mmHg, p = 0.022) during temperature increases. PbtO2 increased in 35% (p < 0.001), was stable in 49% (p = 0.852), and decreased in 16% (p < 0.001) of episodes. During episodes of temperature increases and simultaneous drops in PbtO2, cerebral perfusion pressure (CPP) decreased (ΔCPP -6.3 ± 11.5 mmHg; p < 0.001). Brain tissue hypoxia (PbtO2

Ongoing climate changes reportedly affect the potential distribution and carbon sequestration potential (CSP) of forest vegetation. The combined effects of increasing temperature and decreasing precipitation on these features of forest vegetation are poorly understood. In this study, classification and regression tree (CART) models were used to predict the potential distribution and estimate the CSP of forest vegetation in Yunnan Province, Southwest China, under different simulation scenarios. The minimum temperature of the coldest month (TMW) was the main factor limiting the suitable habitat of all forest vegetation types except for warm–temperate coniferous (WTC) forests. When the temperature increased by 1 °C and the precipitation decreased by 20%, the potential distribution area of the 7 forest vegetation types decreased by 12.41% overall. The potential distribution of WTC forests was the least sensitive to temperature increases and precipitation decreases. The CSP of vegetation was higher (1187.69 TgC) under the constant temperature and 10% precipitation decrease scenario than the CSP of vegetation under the 2 °C temperature increase and constant precipitation scenario (647.24 TgC). Specifically, the highest CSP (1337.88 TgC) was observed under the 1 °C temperature increase and 10% precipitation decrease scenario, and the lowest (617.91 TgC) occurred under the constant temperature and 20% precipitation decrease scenario. In summary, the forest vegetation in Yunnan Province has a high CSP under climate change, and the combined effect of increased temperature and decreased precipitation can increase the CSP of forest vegetation in Yunnan Province. This finding is important for improving scientific decision making and policy planning.

The distribution of forest vegetation and forest carbon sequestration potential are significantly influenced by climate change. In this study, a map of the current distribution of vegetation in Yunnan Province was compiled based on data from remote sensing imagery from the Advanced Land Observing Satellite (ALOS) from 2008 to 2011. A classification and regression tree (CART) model was used to predict the potential distribution of the main forest vegetation types in Yunnan Province and estimate the changes in carbon storage and carbon sequestration potential (CSP) in response to increasing temperature. The results show that the current total forest area in Yunnan Province is 1.86 × 107 ha and that forest covers 48.63% of the area. As the temperature increases, the area of forest distribution first increases and then decreases, and it decreases by 11% when the temperature increases from 1.5 to 2 °C. The mean carbon density of the seven types of forest vegetation in Yunnan Province is 84.69 Mg/ha. The total carbon storage of the current forest vegetation in Yunnan Province is 871.14 TgC, and the CSP is 1100.61 TgC. The largest CSP (1114.82 TgC) occurs when the temperature increases by 0.5 °C. Incremental warming of 2 °C will sharply decrease the forest CSP, especially in those regions with mature coniferous forest vegetation. Semi-humid evergreen broad-leaved forests were highly sensitive to temperature changes, and the CSP of these forests will decrease with increasing temperature. Warm-hot coniferous forests have the greatest CSP in all simulation scenarios except the scenario of a 2 °C temperature increase. These results indicate that temperature increases can influence the CSP in Yunnan Province, and the largest impact emerged in the 2 °C increase scenario.

The purpose of this report is to present the results of an assessment of national weather, climate, and hydrological services in Central Asia and to present a program to improve these services. The report is based on the findings of three country assessments - the Kyrgyz Republic, the Republic of Tajikistan, and Turkmenistan - and supporting regional documentation. These and other countries that form the Central Asian region share common concerns, regarding economic development and the vulnerability of their economies and people to weather, climate, and hydrological extremes. National assessments are based on evaluations of weather, climate, and hydrological hazards; key users’ needs; national hydro meteorological services’ (NMS) capacities; and potential economic benefits from improvement of hydro meteorological service delivery. The results of this global facility for disaster reduction and recovery (GFDRR) work and summary report will contribute directly to the development of the regional initiative to improve weather, climate, and hydrological service delivery in the Central Asia.

Recent economic research documents a range of adverse welfare consequences from extreme heat stress, including health, labor productivity, and direct consumption disutility impacts. Without rapid adaptation, climate change will increase the burden of heat stress experienced by much of the world’s population in the coming decades. What will the distributional consequences of this added heat stress be, and how might this affect optimal climate policy? Using detailed survey data of household wealth in 690,745 households across 52 countries, this paper finds evidence suggesting that the welfare impacts of added heat stress caused by climate change may be regressive. Specifically, the analysis finds that poorer households tend to be located in hotter locations across and within countries, and poorer individuals are more likely to work in occupations with greater exposure to the elements not only across but also within countries. These findings—combined with the fact that current social cost of carbon estimates do not include climate damages arising from the productivity impacts of heat stress—suggest that optimal climate policy, especially when allowing for declining marginal utility of consumption, involves more stringent abatement than currently suggested, and that redistributive adaptation policies may be required to reduce the mechanical inequities in welfare impacts arising from climate change.

This report presents the water and climate adaptation plan (WATCAP) developed for the Sava river basin (SRB) as result of a study undertaken by the World Bank. The WATCAP is intended to help to bridge the gap between the climate change predictions for the SRB and the decision makers in current and planned water management investment projects that will be affected by changing climate trends. The purpose of the report is to: (i) assist stakeholders and decision makers in assessing and planning for the risks generated by climate change impacts on water resources; (ii) provide a basis for future plans and studies of adaptation to climate change impacts in the SRB; and (iii) stimulate cooperation and debate across the basin toward additional and more detailed studies on climate change impacts at the regional and basin scale. The SRB is projected to experience small increases in water use by the public water supply, industry, energy, and agricultural and irrigation sectors. However, it is widely expected that new hydropower plants (HPPs) will be constructed in the near future, making energy (primarily through hydropower) the most important water use in the SRB.

This study was jointly undertaken by the Climate Change and Health Promotion Unit of the Ministry of Health and Family Welfare, the International Centre for Diarrheal Disease Research, Bangladesh, and the World Bank. This study had two broad objectives: (1) to assess national vulnerability and impact on major diseases of increased climate variability and extreme events in Bangladesh; and (2) to assess existing institutional and implementation capacity, financial resources at the local level, and existing public programs targeted at climate-sensitive diseases.

Hydrometeorological monitoring, as discussed here, describes the activities required to characterize the properties and processes of the hydrosphere as it exists in the three-dimensional mesoscale environment of the high-mountain catchment basins of the Hindu Kush-Himalaya (HKH) Mountains. Credible monitoring involves: (a) functional institutions; (b) operational instruments; (c) trained, motivated individuals; (d) scientific procedures; and (e) dedicated funding. Establishing a regional hydro-meteorological research facility in the HKH Mountains will involve developing solutions in the areas of integrated data collection and analysis procedures, instrument selection and placement, compatibility of monitoring instruments and procedures, training of personnel, procedures related to scale and modeling, ensuring accessibility of monitoring sites, and management, analysis, and archiving of the acquired data, all in the context of processes within the mountain basins, not in the adjacent lowlands. Mountain hydrometeorology is defined by a set of complex, three-dimensional, biophysical environments, produced by interactions among terrain, geology, and meteorology. The homogeneity seen from the distant lowlands becomes a complex mosaic of environments within the headwater basins. Altitude determines the properties of an atmospheric column extending upwards from a point within the mountains. These atmospheric properties determine the potential water and energy budgets at a point, or within a basin, in the mountains. Relief, slope aspect and angle, defines local topography.

This report analyzes in some detail the risks to project finance and the performance of real-sector investments. Options, futures, derivatives, foreign exchange and more exotic instruments are not specifically addressed. The objectives of institutional investors, such as pension funds, include creation of sustained revenues over a long period of time. Clearly, given this long-term perspective, institutional investors need to be particularly aware of growing risks to their investments in climatically sensitive sectors or regions. This report demonstrates that climate change and its impacts are likely to alter a number of conditions that are material to the objectives of financial institutions. If changing conditions are not actively managed, investments and institutions may underperform. Most investments will be channeled through financial institutions. Given that the main effects of climate change are now well established, there is a considerable opportunity, as well as a responsibility, for these institutions to take a leading role in adaptation to climate change. Institutions managing investments in long-lived assets have both a direct financial risk to consider and the opportunity to create value by working proactively with their clients and other stakeholders to take steps to manage the risks. Going forward, International Finance Corporation (IFC) will initiate the development of more general tools addressing climate risks and investments.

This paper identifies key challenges and solutions for carrying out project-level economic analysis of adaptation to climate change, both stand-alone and integrated into broader development projects. Very few projects addressing adaptation thus far have been subject to in-depth and rigorous economic analysis for a variety of reasons, including a lack of guidance on how to deal with assessments of the impacts of climate change, as well as with estimating costs and benefits of adaptation under uncertainty. The paper focus is on the agricultural sector, where the impacts of climate change have the potential to disrupt the livelihoods of rural populations in many regions and where adaptation must be given urgent consideration. Nevertheless, some of the approaches discussed are suitable to projects in other sectors as well. Finally, robust decision making (RDM) can provide an alternative quantitative decision analytic method that avoids subjective probability assessments and scenario predictions. RDM creates hundreds or thousands of plausible futures, in the judgment of the analyst, that are then used to systematically evaluate the performance of alternative actions. This approach facilitates identifying the set of conditions under which any particular alternative adaptation performs well or poorly, according to various evaluation criteria based on the decision maker's judgment. The decision maker can identify 'robust' alternatives that, compared to other alternatives, perform reasonably well across a wide range of plausible futures.

A pilot numerical study is conducted to investigate whether a tumor located in the outermost layers of the brain is able to change power absorption and temperature increase in the head, when exposed to the field radiated by a cellular phone. Results show that absorption into the head tissues different from the tumor is barely affected by its presence. On the other hand, inside the tumor, tumor dielectric properties highly influence electromagnetic power absorption, while temperature increments are mainly affected by tumor thermal properties rather than dielectric properties. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52: 1264–1267, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25158