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Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
Soil erosion contributes greatly to nonpoint source pollution (NSP). We built a coastal NSP risk calculation method (CNSPRI) based on the Revised Universal Soil Loss Equation (RUSLE) and geospatial methods. In studies on the formation and transport of coastal NSP, we analysed the pollution impacts on the sea by dividing subbasins into the sea and monitoring the pollutant flux. In this paper, a case study in the Yellow River Delta showed that the CNSPRI could better predict the total nitrogen (TN) and total phosphorus (TP) NSP risks. The value of the soil erodibility factor (K) was 0.0377 t h·MJ−1·mm−1, indicating higher soil erodibility levels, and presented an increased trend from the west to the east coast. The NSP risk also showed an increased trend from west to east, and the worst status was found near the Guangli River of the south-eastern region. The contributions of the seven influencing factors to CNSPRI presented an order of vegetation cover > rainfall erosivity > soil content > soil erodibility > flow > flow path > slope. The different roles of source and sink landscapes influenced the pollutant outputs on a subbasin scale. Arable land and saline-alkali land were the two land-use types with the greatest NSP risks. Therefore, in coastal zones, to reduce NSP output risks, we should pay more attention to the spatial distribution of vegetation cover, increase its interception effect on soil loss, and prioritize the improvement of saline-alkali land to reduce the amount of bare land.
Youxiao Wang; Gaohuan Liu; Zhonghe Zhao; Chunsheng Wu; Bowei Yu. Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China. Environmental Pollution 2021, 283, 117117 .
AMA StyleYouxiao Wang, Gaohuan Liu, Zhonghe Zhao, Chunsheng Wu, Bowei Yu. Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China. Environmental Pollution. 2021; 283 ():117117.
Chicago/Turabian StyleYouxiao Wang; Gaohuan Liu; Zhonghe Zhao; Chunsheng Wu; Bowei Yu. 2021. "Using soil erosion to locate nonpoint source pollution risks in coastal zones: A case study in the Yellow River Delta, China." Environmental Pollution 283, no. : 117117.
The Yellow River Basin and the Yangtze River Basin are the two most important watersheds in China, which consist of several key ecological function areas and are crucial in terms of economic contributions. The evaluation of the ecosystem service value and the quantitative acquisition of the regional ecological quality status are necessary for supporting the ecological protection and high-quality development of the two basins. By considering basic data and adopting different ecological function models, this study was carried out to evaluate the value of ecosystem services in the Yellow River Basin and the Yangtze River Basin from 2015 to 2018 in terms of provisioning services, regulating services, and cultural services. Additionally, analysis was conducted in combination with economic indicators. The results showed that there were great differences in the ecosystem patterns between the Yellow River Basin, where grassland accounted for 45% of land use, and the Yangtze River Basin, where forest accounted for 39% of land use. The values of the ecosystem services of the two basins had similar spatial distributions, with higher values upstream (west) followed by downstream (east) and lower values in the middle (central China). The total annual ecosystem value of the Yangtze River Basin was more than three times that of the Yellow River Basin. In addition, the ecosystem services value of most counties in both basins was higher than their GDP, and there was a positive trend of transforming ecological benefits into economic benefits in the Yangtze River Basin. This research provides a methodology for evaluating ecosystem valuation. The results are helpful for formulating and implementing eco-compensation and payments for ecosystem service policies among different regions in the basins, and the results lay a foundation for the spatial planning and high-quality development paths of key basin areas in China.
Chunsheng Wu; GuoXia Ma; Weishan Yang; Ying Zhou; Fei Peng; Jinnan Wang; Fang Yu. Assessment of Ecosystem Service Value and Its Differences in the Yellow River Basin and Yangtze River Basin. Sustainability 2021, 13, 3822 .
AMA StyleChunsheng Wu, GuoXia Ma, Weishan Yang, Ying Zhou, Fei Peng, Jinnan Wang, Fang Yu. Assessment of Ecosystem Service Value and Its Differences in the Yellow River Basin and Yangtze River Basin. Sustainability. 2021; 13 (7):3822.
Chicago/Turabian StyleChunsheng Wu; GuoXia Ma; Weishan Yang; Ying Zhou; Fei Peng; Jinnan Wang; Fang Yu. 2021. "Assessment of Ecosystem Service Value and Its Differences in the Yellow River Basin and Yangtze River Basin." Sustainability 13, no. 7: 3822.
Various surface water bodies, such as rivers, lakes and reservoirs, provide water and essential services to human society. However, the long-term spatiotemporal dynamics of different types of surface water bodies and their possible driving factors over large areas remain very limited. Here, we used unprecedented surface water data layers derived from all available Landsat images and further developed two databases on China’s lakes and reservoirs larger than 1 km2 to document and understand the characteristics of changes in different water body types during 2000 to 2019 in China. Our results show that China is dominated by permanent water bodies. The areas of permanent and seasonal water bodies in China increased by 16,631.02 km2 (16.72%) and 16,994.95 km2 (25.14%), respectively, between 2000 and 2019, with permanent and seasonal water bodies exhibiting divergent spatial variations. Lakes and artificial reservoirs larger than 1 km2, which collectively represent a significant proportion of the permanent water bodies in China, displayed net increases of 6884.52 km2 (10.71%) and 4075.13 km2 (36.10%), respectively, from 2000 to 2019; these increases accounted for 41.40% and 24.50%, respectively, of the total permanent water body increment. The expanding lakes were mainly distributed on the Tibetan Plateau, whereas the rapidly growing reservoirs were mainly located on the Northeast Plain and Eastern Plain. Statistical analyses indicated that artificial reservoirs were an important factor controlling both permanent and seasonal water body changes in most of provinces. Climate factors, such as precipitation and temperature, were the main influencing factors affecting the changes in different water bodies in the sparsely populated Tibetan Plateau.
Bowei Yu; Baoshan Cui; Yongge Zang; Chunsheng Wu; Zhonghe Zhao; Youxiao Wang. Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China. Remote Sensing 2021, 13, 1154 .
AMA StyleBowei Yu, Baoshan Cui, Yongge Zang, Chunsheng Wu, Zhonghe Zhao, Youxiao Wang. Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China. Remote Sensing. 2021; 13 (6):1154.
Chicago/Turabian StyleBowei Yu; Baoshan Cui; Yongge Zang; Chunsheng Wu; Zhonghe Zhao; Youxiao Wang. 2021. "Long-Term Dynamics of Different Surface Water Body Types and Their Possible Driving Factors in China." Remote Sensing 13, no. 6: 1154.
The Mun River Basin is one of Thailand’s major grain-producing areas, but the production is insufficient, and most of the cultivated lands are rain-fed and always unused in the dry season. All this makes it necessary to determine the status of soil nutrients and soil quality in the dry season to improve soil conditions, which will be useful for cultivation in the farming period. The aim of this study was to construct a soil-quality assessment based on soil samples, and in the process the minimum data set theory was introduced to screen the assessment indicators. The geographically weighted regression method was used to complete the spatial interpolation process of indicators, and the fuzzy logic model was constructed to evaluate the soil quality. The results showed that the spatial distributions of soil quality and indicators were similar. The soil quality was the best in the upstream while poor in the downstream, and the dry fields in the west and the forests in the east of the basin were better than other areas nearby. However; the soil qualities of paddy fields in the middle and east of the basin were poor due to the lack of soil nutrient supply when the fields were unused.
Chunsheng Wu; Erfu Dai; Zhonghe Zhao; Youxiao Wang; Gaohuan Liu. Soil-Quality Assessment During the Dry Season in the Mun River Basin Thailand. Land 2021, 10, 61 .
AMA StyleChunsheng Wu, Erfu Dai, Zhonghe Zhao, Youxiao Wang, Gaohuan Liu. Soil-Quality Assessment During the Dry Season in the Mun River Basin Thailand. Land. 2021; 10 (1):61.
Chicago/Turabian StyleChunsheng Wu; Erfu Dai; Zhonghe Zhao; Youxiao Wang; Gaohuan Liu. 2021. "Soil-Quality Assessment During the Dry Season in the Mun River Basin Thailand." Land 10, no. 1: 61.