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As the significant residuals in the sewage treatment system, sludge treatment and reuse play a pivotal impact on the environmental sustainability study in China. In this paper, two sewage sludge treatment systems have been investigated, calculated, and analyzed, including the conventional treatment system (Scenario A) and improved reuse system (Scenario B), respectively. The results demonstrate that (1) Compared to Scenario A, Scenario B is a comprehensive system, which integrates a sewage sludge treatment system and a brick production system for sludge recycling. (2) After considering the brick system (scenario B), on the one hand, the sludge treatment capacity has been enhanced and raised sludge utilization; on the other hand, negative influences have also generated due to the non-renewable resources input and several outputs. (3) In Scenario A and Scenario B, the input resources part reflects the main impact (about 59.6% in the entire emergy value). (4) In this new paper, the UEVs are 2.73E + 11sej/kg and 6.29E + 11sej/kg in Scenario A and Scenario B, respectively. (5) The emergy sustainability indexes (ESI) are 0.012292 and 0.00848, which express the weak comprehensive effects in Scenario A and Scenario B. (6) Scenario B has a more extensive range of change than Scenario A because of the more resource input for the sensitivity analysis. Given the all discussions, there are two effective approaches to be used for perfecting environmental sustainability in the Scenario A system and Scenario B system. [ABSTRACT FROM AUTHOR]

Background: Sexual and Reproductive Health (SRH) targets have been included as part of the United Nations Sustainable Development Goals and indictors are important to monitor progress towards these targets. SRH indicators are recommended for setting norms and measuring progress globally. However, given the diverse political, socioeconomic and cultural contexts in different countries, and lack of global agreement on broad indicators, it is important to select appropriate indicators for specific countries. Based on internationally recommended indicators and data availability in China, this paper selected four indictors to reflect SRH in China and interpreted these indictors by analyzing the underlying factors. Methods: We employed secondary data analysis and key informant interviews. Secondary data were obtained from the China Health Statistical Yearbook (2005–2017), China Statistical Yearbook (2005–2017), and the sub-national estimates of the Global Burden Diseases Study 2016. We interviewed 36 key informants at national and sub-national levels. Results: The four selected SRH indicators are contraceptive prevalence rate (CPR), adolescent birth rate, abortion rate, and availability of school sex education. CPR of married women has remained above 75% over the last three decades, indicating a high level of access to family planning (FP) services; however, unmarried but sexually active women have significant unmet needs for FP services. Although adolescent birth rates in China remain low, the abortion rate, abortion numbers, and the ratio of abortions to births increased from 2014 to 2016 while FP policy was relaxed. This suggests that abortion among unmarried women is a significant contributor to overall figures. Qualitative analysis of the availability of school sex education, reveals an absence of policy due to conservative attitudes of key stakeholders. Conclusion: Since SRH challenges vary significantly between contexts, indicators for measuring progress towards SRH targets should be selected based on country context. The CPR and abortion rate are currently available and important indicators to monitor the most basic part of SRH in China, but require modification to ensure they reflect universal access to quality reproductive healthcare by all reproductive age women, regardless of their marriage status. Policy and indicators on sex education need to be carefully developed to fit the context in China. [ABSTRACT FROM AUTHOR]

Purpose: As one of the most important overhead capital of urban economics and social development, the sustainable development of urban infrastructure is becoming a key issue of prosperous society growing. The purpose of this paper is to establish a basic model to analysis certain infrastructure project's sustainable construction and operation. Design/methodology/approach: System dynamics is an effective stimulation method and tool to deal with such complex, dynamics, nonlinear systems, which could be used in analyzing and evaluating all aspects of infrastructure sustainability internally and externally. In this paper, the system is divided into four subsystems and 12 main impact indicators. Through setting the boundary and other basic hypothesis, this paper designs the basic causal loop diagrams and stock & flow diagrams to describe the relationship between variables and establish a quantifiable structure for the system. Findings: Adopting a sewerage treatment in China as a case to test our model, we could conclude that the model of internal sustainable subsystem is reasonable. However, this model is a basic model, and it need to be specific designed for the certain project due to the diversity of infrastructure types and the unique conditions of each projects. Originality/value: System Dynamics (SD) is widely used in the study of sustainable development and has plentiful research achievements from macro perspective but few studies in the microcosmic project systems. This paper focuses on the unique characteristics of urban infrastructure in China and selects infrastructure project which is based on micro-system discussion. The model we designed has certain practical significance in policy setting, operation monitoring and adjustment of the urban projects with high rationality and accuracy. [ABSTRACT FROM AUTHOR]

Yuan, S.; Guo, J., and Zhao, X., 2017. Integrated weighting technique for coastal vulnerability to storm surges. In: Zhi, Y. and Guido Aldana, P.A. (eds.), Sustainability of Water Resources and the Development of Coastal Environments: Select Proceedings from the 2016 International Conference on Water Resource and Environment (WRE2016). Journal of Coastal Research, Special Issue No. 80, pp. 6-12. Coconut Creek (Florida), ISSN 0749-0208. Weighting different indicators plays a critical role in quantifying vulnerability to natural disasters. However, there is no consensus about which weighting method performs best. This paper proposed a method to aggregate different weighting techniques to quantify vulnerability to storm surges using social, economic, and environmental indicators. Viewing vulnerability through exposure, sensitivity, and adaptability dimensions, a geographic information system was used to establish areas of vulnerability in eleven coastal provinces in China. The results suggested that the spatial distribution of vulnerability to storm surges varies drastically from one area to another, and does not follow expected geographic boundaries. The study found that Shandong province is the most vulnerable area and Shanghai is the least vulnerable. Subgroup weights showed that exposure and adaptive capacity drive more vulnerability compared to sensitivity. This analysis can enable policy makers in disaster management to identify areas' strengths and weaknesses, and integrate these criteria into more robust vulnerability evaluations. [ABSTRACT FROM AUTHOR]

Building on Leydesdorff, Bornmann, and Mingers (2019), we elaborate the differences between Tsinghua and Zhejiang University as an empirical example. We address the question of whether differences are statistically significant in the rankings of Chinese universities. We propose methods for measuring statistical significance among different universities within or among countries. Based on z-testing and overlapping confidence intervals, and using data about 205 Chinese universities included in the Leiden Rankings 2020, we argue that three main groups of Chinese research universities can be distinguished (low, middle, and high). When the sample of 205 Chinese universities is merged with the 197 US universities included in Leiden Rankings 2020, the results similarly indicate three main groups: low, middle, and high. Using this data (Leiden Rankings and Web of Science), the z-scores of the Chinese universities are significantly below those of the US universities albeit with some overlap. We show empirically that differences in ranking may be due to changes in the data, the models, or the modeling effects on the data. The scientometric groupings are not always stable when we use different methods. Differences among universities can be tested for their statistical significance. The statistics relativize the values of decimals in the rankings. One can operate with a scheme of low/middle/high in policy debates and leave the more fine-grained rankings of individual universities to operational management and local settings. In the discussion about the rankings of universities, the question of whether differences are statistically significant, has, in our opinion, insufficiently been addressed in research evaluations. [ABSTRACT FROM AUTHOR]

Abstract: This emergy-based urban economic account provided a historical portrait of the urban economy and its structures to understand the overload of the biosphere‘s assimilative capacity. The basic situation of the urban economy, involving the indigenous resources base, emergy consumption patterns, emergy exports and imports, was investigated, accounted and discussed. Using a series of ratios and indices arising from emergy analysis, including emergy intensity, environmental load ratio and environmental sustainability, this paper analyzed the economic development in Beijing during the years of 1999 to 2006 and the heavy pressure it has put on the environment. Results showed that the development of economy in Beijing was closely correlated with the consumption of the non-renewable resources and it was exerting rising loads on the environment. Of the total emergy use by the economic system, the imported non-renewable resources from other provinces contributed most with increasing use from imported nonrenewable resources. Emergy intensity kept rising during the periods, with the increase of the environmental loads. The pressure of environmental protection, which was caused by the over-heated investments in Beijing, could be released after the completion of the infrastructure construction. On the whole, the results of this paper outlined a frame of reference towards how the urban metabolic analysis could drive the economic policies and sustainability. [Copyright &y& Elsevier]

This paper describes the theoretical foundations and development of a multidimensional, water-focused, thematic indicator of rural poverty: The Water, Economy, Investment and Learning Assessment Indicator (WEILAI). The WEILAI approach was specifically designed for application in rural China, to support poverty alleviation project planning, monitoring and evaluation, as well as targeting and prioritization. WEILAI builds primarily on the basic needs framework of poverty alleviation, and on the methodological structure of the Water Poverty Index, to provide a proxy measure of an area's poverty by assessing eight key poverty sectors, with a strong focus on the components of water-poverty. The WEILAI approach was piloted and implemented in 534 households in China's mountainous southwest. This paper describes the indicator construction, weighting schemes, methodology, field sites, and statistical validation of the results. In addition, we discuss the results, feedback from in-country project staff, and the likely utility of the tool for project planning, monitoring and evaluation support. The paper concludes with a discussion of WEILAI's overall utility and ongoing development. [Copyright &y& Elsevier]

Due to excessive resource consumption and pressing environmental issues of the sewage treatment industry, there is extensive attention in China. Given the unique craft production process in the sewage treatment system, a series of integral emergy indicators have been used to evaluate the environmental sustainability based on infrastructure construction and operation stage emergy analysis. Taking a new typical sewage treatment plant as an example, this paper performed a case study. The results illustrate that (1) the infrastructure construction process emergy (approximate 92.6%) is more critical than sewage treatment process emergy; (2) nonrenewable resource is the primary factor for the emergy analysis, followed by energy (23.5%) and purchased supply (7%); (3) cement, steel, and gravel have dominant impacts on the nonrenewable resource emergy; (4) the emergy sustainability index is 0.001101, which displays weak environmental sustainability; (5) the unit emergy value (UEV) of the new sewage treatment plant is 3.40 × 1012 sej/m3; (6) sensitivity analysis results of the hypothesis demonstrate that nonrenewable resources have significant fluctuations (6.903%) while, for the indicators, emergy sustainability index (ESI) (4.8072%) has the most significant impact; and (7) wastewater is a major contributor. In light of comprehensive discussions, two positive measures are proposed in order to ameliorate the environmental sustainability. [ABSTRACT FROM AUTHOR]

The paper highlights the findings of a study from selected ecosystems in Indonesia, China and Japan. The study sought to trace changes to productive resources of ecosystems over a period of 50years; and trace the dependence of well-being of local populations on the ecosystems for the same time period. Data was collected from land-use maps, records and participatory rapid/rural appraisal (PRA) surveys in multistakeholder forums. To illustrate the changes, an indicator-based assessment framework was developed that integrates data from biophysical and socio-economic parameters. We observed that the approach (1) provides a better representation of the preferences of different stakeholders of ecosystem services, (2) fosters validation of data between the different stakeholders and (3) enables a communication and planning process among the stakeholders to sustainably utilize and manage their ecosystems. The use of spatial maps validates the relevance and utility of diachronic observations of communities and other stakeholders directly dependent on ecosystems. At the same time, they can be used to strengthen local planning processes for the development of services in the ecosystem. Such research thereby also acts as a catalyst to a social process of coordinated action to address local issues of global relevance. [Copyright &y& Elsevier]

Background: Body composition is a crucial factor associated with the incidence of type 2 diabetes mellitus. However, no study on this relationship has been performed in the Chinese population. This study aimed to investigate the relationship between body composition indicators and risk of type 2 diabetes mellitus among Chinese adults undergoing medical examination.Methods: Between January 2018 and July 2018, a retrospective cross-sectional study was performed on 3367 (2307 male and 1060 female) participants aged ≥18 years undergoing medical examination in Zhengzhou. Logistic regression analysis was performed to explore the relationship between body composition indicators and risk of type 2 diabetes mellitus. A receiver operating characteristic curve was used to calculate cutoff points and the predictive power of each indicator.Results: Among the 3367 participants, 12.53% were diagnosed with type 2 diabetes mellitus. Multivariate logistic analysis indicated that male participants (odds ratio [OR] = 1.68, 95% confidence interval [CI]: 1.29-2.19), older participants (OR = 1.05, 95% CI: 1.04-1.06), participants with a waist-to-hip ratio above the reference value (OR = 1.56, 95% CI: 1.18-2.07), participants with body fat percentage above the reference value (OR = 1.62, 95% CI: 1.01-2.68), and participant with a large visceral fat area (OR = 1.01, 95% CI: 1.01-1.02) had a high risk of type 2 diabetes mellitus. Waist-to-hip ratio, body fat percentage, and visceral fat area were the best indicators of type 2 diabetes mellitus (P < 0.001) with cutoff values of 0.90, 25.02%, and 92.00 cm2, respectively.Conclusion: This study suggests a predictive relationship between type 2 diabetes mellitus and body composition indicators of waist-to-hip ratio, body fat percentage, and visceral fat area, which are valuable for screening diabetes and providing effective health education and behavioral intervention for high-risk populations. [ABSTRACT FROM AUTHOR]

Nitrogen (N) is very important for sugarcane yield improvement, but the excessive application of N fertilizer brings about N pollution and a cost increase. Through distinguishing the difference of nitrogen use efficiency (NUE), we can reasonably apply N fertilizer according to the NUE characteristics of sugarcane varieties, and thus reduce N loss and maintain high yield. The present study showed the pot experiment results of identifying NUE types of nine main sugarcane varieties in the main sugarcane producing areas of China under controlled conditions, and identified the key physiological and agronomic indictors which can help to determine the NUE types of sugarcane. The test clones were exposed to varying levels of N fertilizer and 15 parameters that are likely to impact NUE were measured. The key results are (1) Sugarcane variety ROC22 has the high plant dry weight (PDW) and NUE among nine varieties under different N rates, it can take advantages under low N supply (225 kg/hm2 urea), and less N fertilizer can be applied properly in production. (2) Varieties of GT32 was good performing genotype for PDW and NUE under low N supply (225 kg/hm2 urea), GT42 was more suitable for moderate N environment (450 kg/hm2 urea), while YT94-128 was at middle N and high N supply (450–675 kg/hm2 urea). (3) Late stage of shoot elongation is suitable for differentiating sugarcane clones for NUE. (4) Leaf glutamine synthetase activity is the most reliable predictor of NUE in sugarcane. The result of pot experiment is sufficient to differentiate clonal variation for NUE in sugarcane as it reflects field experimental results. This study can set up a basis for identification the NUE types of sugarcane varieties and the development of reasonable N fertilizer application. [ABSTRACT FROM AUTHOR]

Simple Summary: The relationship between species and environment are an important basis for the study of biodiversity. Most researchers have found the distribution of indicator insects such as carabid beetle at the local community scale; however, a few studies on the distribution of indicator insects in grassland in China. Here, we used Generalized Additive Models (GAM) to predict temperate steppe of northwestern China carabid beetle species richness distribution, and to determine the possible underlying causal factors. Predicted values of beetle richness ranged from 3 to 12. The diversity hotspots are located in the southwest, south and southeast of the study area which have moist environment, the carabid beetle is mainly influenced by temperature and precipitation. The results underline the importance of management and conservation strategies for grassland and also provides evidence for assessing beetle diversity in temperature steppe. Beetles are key insect species in global biodiversity and play a significant role in steppe ecosystems. In the temperate steppe of China, the increasing degeneration of the grasslands threatens beetle species and their habitat. Using Generalized Additive Models (GAMs), we aimed to predict and map beetle richness patterns within the temperate steppe of Ningxia (China). We tested 19 environmental predictors including climate, topography, soil moisture and space as well as vegetation. Climatic variables (temperature, precipitation, soil temperature) consistently appeared among the most important predictors for beetle groups modeled. GAM generated predictive cartography for the study area. Our models explained a significant percentage of the variation in carabid beetle richness (79.8%), carabid beetle richness distribution seems to be mainly influenced by temperature and precipitation. The results have important implications for management and conservation strategies and also provides evidence for assessing and making predictions of beetle diversity across the steppe. [ABSTRACT FROM AUTHOR]