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The risk quotient (RQ) related to Estrone (E1), 17β–E2 (E2), Estriol (E3) and 17α-ethynylestradiol (EE2) in sediment of water resources in China was calculated using Monte Carlo Simulation (MCS) method. Fifty-four papers with 64 data-reports included in our study. The rank order of steroid hormones in sediment based on log-normal distribution in MCS was E1 (3.75 ng/g dw) > E3 (1.53 ng/g dw) > EE2 (1.38 ng/g dw) > E2 (1.17 ng/g dw). According to results, concentration of steroid hormones including E1, E2 and E3 in sediment of Erhai lake, northern Taihu lake and Dianchi river was higher than other locations. The rank order of steroid hormones based on percentage high risk (RQ > 1) was EE2 (87.00%) > E1 (70.00%) > E2 (62.99%) > E3 (11.11%). Hence, contamination control plans for steroid hormones in sediment of water resources in China should be conducted continuously. [ABSTRACT FROM AUTHOR]

Managing transboundary river basins proves a challenge for China when encountering disagreements with its neighbors that experience different political and social conditions. This paper analyzes what happens when China characterizes water as a security issue, examining China's fluid securitization practices, where changes can be identified indicating that the Chinese government values the various water security concerns differently. Two cases are adopted for comparison. In the case of China sharing the Mekong River, the Chinese government has shown a willingness to incorporate more issues found both inside and outside of the water sector. In contrast, in the case of the sharing of the Ganges-Brahmaputra-Meghna, China's security agenda has been limited to the consideration of water availability and has led to military security concerns. The findings indicate that China's water security agenda is not only driven by a concern for water management over specific rivers, but also judgments that incorporate strategic military consideration with regard to countries that they are involved with. The case of China thus suggests that water security is a complex domain that demonstrates competing values and concerns in (de)politicizing water. Therefore, water-related security issues cannot be understood solely from an environmental policy perspective. [ABSTRACT FROM AUTHOR]

This paper establishes a quantitative model based on the system dynamics (SD) theory to reflect the 'socioeconomic–water–environment' coupling system and proposes three future development scenarios. Hubei province, China, is selected to verify this model. The simulation results from 2020 to 2030 demonstrate that the pressures of water supply and demand and pollution under the sustainable development scenario are less than those under two other scenarios. It means that adjustment of the industrial structure has a relatively weaker effect on alleviating the pressure of water supply and demand. Saving water and controlling pollution should be the emphasis of current efforts. [ABSTRACT FROM AUTHOR]

Evaporation is important basic information for irrigation decision making in water resources management. Developing countries usually use a small pan to observe surface evaporation, but the relationship between evaporation in different small pans is not sufficiently clear. In this paper, we use an extreme learning machine (ELM) model to predict and convert E20 (diameter 0.20 m) and E601 (diameter 0.62 m) pan data for 38 meteorological stations in southern China. Firstly, we obtained the best combination of meteorological parameters for forecasting E20 and E601, respectively, and we also found that the accuracy of the model can be significantly improved by adding pan data. Secondly, we found that during the conversion between E20 and E601, the model performance when using E601 data to predict the E20 evaporation is better than that when using E20 data to predict the E601 evaporation. Finally, the geographical factors were analysed, and the model performance was found to be relatively poor in the coastal area and the North–South junction. [ABSTRACT FROM AUTHOR]