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Soil samples were collected from ten sampling points surrounded the Rooppur Nuclear Power Plant to determine the metal concentration like As, Pb, Rb, Sr, Zr, Cu, and Zn. The metals concentrations in soil samples were determined by the Energy Dispersive X-ray Fluorescence (EDXRF) technique. The average metal concentrations in the study area were found in the following descending order: Zr (334.84 mg/kg) > Rb (179.35 mg/kg) > Pb (172.77 mg/kg) > Sr (138.86 mg/kg) > Zn (120.54 mg/kg) > Cu (16.96 mg/kg) > As (8.50 mg/kg) respectively. Moreover, the sampling sites were organized according to the total metal concentration as S7 > S3 > S4 > S5 > S11 > S2 > S9 > S1 > S10 > S8 > S12 > S6 respectively. This study showed that the average concentration of As, Sr, and Cu surpassed the suggested standard and average shale value (ASV) limits. In this study, the identification of the soil quality associated with the ecological and human health risk was evaluated using some important indices. The geoaccumulation index (Igeo) deliberated that most of the sites were not contaminated except for S3 and S7, which were classified as strong contamination and strong to extreme contamination. The enrichment factor (EF) revealed that three sampling points of S3, S4, and S7 were enriched with Pb, which was consistent with the contamination factor (CF) suggested that the study area was contaminated by only Pb and Zn. It might happen due to excess battery rechargeable vehicles in the study area. However, this study revealed that the pollution load index (PLI) for most of the sampling points was lower than 1 (PLI

Water scarcity in China would possibly be aggravated by rapid increase in water demand for irrigation due to climate change. This paper focuses on the mechanism of climate change impact on regional irrigation water demand by considering the dynamic feedback relationships among climate change, irrigation water demand and adaptation measures. The model in implemented using system dynamics approach and employed in Baojixia irrigation district located in Shaanxi Province of China to analyses the changes in irrigation water demand under different climate change scenarios. Obtained results revealed that temperature will be the dominant factor to determine irrigation water demand in the area. An increase of temperature by 1 °C will result in net irrigation water demand to increase by about 12,050 × 104 m3 and gross water demand by about 20,080 × 104 m3 in the area. However, irrigation water demand will not increase at the same rate of temperature rise as the adaptation measures will eventually reduce the water demand increased by temperature rise. It is expected that the modeling approach presented in this study can be used in adopting policy responses to reduce climate change impacts on water resources.

Water Scarcity and drought are recurrent phenomena in China. In the context of environmental change, an increasing tendency in drought frequency and severity is observed in China in recent years. Therefore, it is imperative to take necessary initiatives to reduce the impacts of drought. In this paper, an attempt is made to identify the best water management strategies to cope with droughts. For this objective the records of historical droughts and their impacts in China over the period of 1950–2009 are analyzed. It is observed that the drought affected area has increased nearly by 12 folds and the drought damaged area has increased by about 22 times in China in last 60 years. Over 87,000 reservoirs were built with a total water storage capacity of about 7,064 billion m3 to cope with droughts. However, this structural supply-based management strategy was not enough to meet the increasing water demand caused by rapid economic development and population growth. A typical relationship between socio-economic development and water resources management strategy to attain sustainability in water management is developed in this study. The relationship shows that the demand-side water management strategies can be the best option to meet the challenges posed by increased severity of drought, population growth, economic development and possible climate change. The concept is later verified through the analysis of changing pattern of water consumptions by different sectors in last 60 years.

Due to freshwater supplement scarcity and heavy human activities, the fresh water wetland ecosystem in Yellow River Delta is facing disintegrated deterioration, and it is seriously affecting the health of the Yellow River ecosystem. This paper identifies the restoration objectives of wetland aiming to protect ecological and economic values and development as well as the water resources of the Yellow River. The hydraulic and groundwater coupling model and Landscape Ecological Decision and Evaluation Support System (LEDESS) of the Yellow River Delta were established to calculate environmental flows of degraded wetlands. LEDESS is a computer-based model developed and used to assess and evaluate the effects of land-use changes on nature. In this study, LEDESS is used to assess and evaluate the ecological effects and the restoration possibilities considering several environmental flows' supplement scenarios. This included the changes of suitable habitat conditions and its ecological carrying capacities for indicator species, e. g., Red-crowned crane (Grus japonensis), Oriental stork (Ciconia boyciana), and Saunder's gull (Larus relictus), and changing of ecological patterns. The results showed that replenishing fresh water to wetlands is one of the effective adaptive measures to mitigate wetland degradation and improve its habitat quality and carrying capacities. This study indicated that landscape ecology approach is not only considered as a good way to solve complex problems in ecosystem management but also can be used to decide on the environmental flows and assess its ecological effects in large-scale wetland rehabilitation. This integrated method could make environmental flows estimated and assessment more rational than the results of hydrologic methods. It could assist decision makers to "see" the ecological effects after water supplementing and so alleviate the contradictions between environmental flows and production water demands, and can facilitate the implementation of environmental flows in most countries with water resources shortage.

Yellow River, is designated as “the cradle of Chinese civilization” and played a key role not only in the country’s economic development but also in the historic and cultural identity of the Chinese people. With the rapid economic development and population growth, water demand for industry and households has increased significantly in the Yellow River basin; this has caused an increasing gap between water supply and demand. Competing water demands triggered conflicts between disparate water users on different scales such as the rich and the poor, or between different sectors and regions, such as domestic and agriculture, agriculture and industry, upstream and downstream, rural and urban areas, etc. Ensuring equity in water supply for conflicting water users is one of the major challenges that facing water managers and in particular water management in the Yellow River basin. In this paper, a method has been developed to calculate the Gini coefficient of water use as an indicator to measure the equality in domestic water supply. A dual domestic water use structure model is employed for this purpose. The developed method is subsequently applied to assess the equality in domestic water supply in the Yellow River. Data of population growth, domestic water use and economic development over the time period 1999-2006 are used to calculate the Gini coefficient of water use over the same length of period. The result shows a decreasing trend in Gini coefficient of domestic water use in the Yellow River basin after 2001 which means domestic water use is becoming more and more equitable in the basin. The study justifies that the Gini coefficient of water use can be used and recommended as a useful tool for the water management especially in the context of global change.