Showing 321 - 340 results of 938 for search '"river basin"', query time: 0.08s Refine Results
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    Downscaling and Projection of Multi-CMIP5 Precipitation Using Machine Learning Methods in the Upper Han River Basin by Ren Xu, Nengcheng Chen, Yumin Chen, Zeqiang Chen

    Published 2020-01-01
    “…This study developed multiple machine learning (ML) downscaling models, based on a Bayesian model average (BMA), to downscale the precipitation simulation of 8 Coupled Model Intercomparison Project Phase 5 (CMIP5) models using model output statistics (MOS) for the years 1961–2005 in the upper Han River basin. A series of statistical metrics, including Pearson’s correlation coefficient (PCC), root mean squared error (RMSE), and relative bias (Rbias), were used for evaluation and comparative analyses. …”
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  5. 325

    Natural factors outweigh anthropogenic impact on aquatic phoD-harboring communities along Yangtze River basin by Lin Xu, Qian Mao, Chaonan Li, Bo Tu, Xiangzhen Li

    Published 2025-01-01
    “…This study aimed to address this knowledge gap by collecting phoD amplicon sequence data along the Yangtze River basin. Our results demonstrated that natural factors were more influential than anthropogenic impacts in shaping aquatic phoD-harboring communities. …”
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  6. 326

    Dynamic Impacts of Climate and Land-Use Changes on Surface Runoff in the Mountainous Region of the Haihe River Basin, China by Ruonan Li, Hua Zheng, Binbin Huang, Huashan Xu, Yunkai Li

    Published 2018-01-01
    “…We analyzed the changes in surface runoff during 1980–2010 in six subbasins in the mountainous region of the Haihe River Basin, one of the most serious water shortage regions in China, and identified the changes in the relative contributions of climate (precipitation and temperature) and land-use to surface runoff decrease. …”
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    Evaluation of ecological risk analysis for benthic macroinvertebrates in paddy fields in the Meriç–Ergene River Basin (Turkish Thrace) by Aydın Gazel Burcu, Çamur-Elipek Belgin

    Published 2022-06-01
    “…This study aimed to determine the dynamics of benthic macroinvertebrate fauna in paddy fields in the Meriç–Ergene River Basin (Turkish Thrace region) by investigating some physicochemical environmental parameters that may affect its distribution. …”
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    Zoning of infiltration areas using Schosinsky’s Soil Water Balance in La Balsa River Basin, Costa Rica by Ramirez-Granados Pablo

    Published 2024-01-01
    “…Zones, in La Balsa River Basin (LBRB), were determined by overlaying information of basin slopes, existing land use, land cover and spatial distributed rainfall. …”
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  13. 333

    Data-Driven-Based Attribution of Runoff Changes in Tuwei River Basin in the Northern Windy-Sandy Region of Shaanxi by YU Huanghao, LI Binquan

    Published 2022-01-01
    “…The key point in analyzing the attribution of runoff changes is whether the natural runoff process of the basin can be accurately simulated.However,the application accuracy of hydrological models in arid and semi-arid regions of the Loess Plateau is generally not high.Taking the Tuwei River basin in the northern windy-sandy region of Shaanxi in the middle reach of the Yellow River as an example,this paper proposed an improved natural runoff simulation method based on the data-driven approach,so as to quantitatively analyze the effects of climate changes and human activities on runoff changes in the Tuwei River basin.The results show that the annual runoff series in the basin decreased significantly from 1961 to 2015,and there were two abrupt changes in 1979 and 1996,respectively.The annual runoff of the two periods (1980—1996 and 1997—2015) is 25.8% and 47.1% lower than that of the natural period (1961—1979),respectively.The runoff simulation accuracy of the three data-driven methods after improvement rises significantly.Specifically,the improved method proposed by Zhao Wenlin has the highest accuracy,and the Nash-Sutcliffe efficiency coefficient of annual runoff simulation in the natural period is 0.77.Climate change is the main reason for the significant decrease in the runoff between 1980 and 1996 (with a contribution of up to 80.9%).However,from 1997 to 2015,the contribution of climate change and human activities to the decrease in the runoff changed,with the influence of human activities increasing to a proportion of 58.8%.…”
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    Assessment of Underground Water Contamination and Effect of Textile Effluents on Noyyal River Basin In and Around Tiruppur Town, Tamilnadu by A. Geetha, P. N. Palanisamy, P. Sivakumar, P. Ganesh Kumar, M. Sujatha

    Published 2008-01-01
    “…A systematic study has been carried out to assess the underground water contamination and the effect of textile effluents on Noyyal River basin in and around Tiruppur Town. Twenty six sampling locations were selected at random and the ground water samples were collected mostly from tube wells at Noyyal River basin in and around Tiruppur area. …”
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    Study and Prediction of Land Use/Cover Change in Small and Medium-Sized River Basins in Typical Urbanization Areas by LI Liujie, LIU Bingjun, WEI Qiuying

    Published 2022-01-01
    “…In order to explore the spatio-temporal evolution pattern of land use in small and medium-sized river basins under the background of rapid urbanization,this paper studied the Baiyun Lake basin and analyzed the structure change in land use in the Baiyun Lake basin from 1980 to 2020 by using land use dynamic degree and land use intensity.In addition,the paper employed a standard deviation ellipse model to analyze the spatial pattern change in the basin,discussed the influence on the land use in the basin before and after the completion of Baiyun Lake,and utilized a CA-Markov model to simulate the land use in the basin in the 2030 and explore the pattern evolution trend of land use in the basin in the future.The results show that:① The land in the Baiyun Lake basin from 1980 to 2020 was mostly used for construction,with an average annual proportion of 51.77%,and in 2020,the proportion reached 70.13%.② In the past 40 years,the land use in the basin has changed from cultivated land,dry land,forest,and grassland to construction land.The land use intensity has continued to rise,and the land structure has gradually tended to be single.③ Baiyun Lake occupies part of the urban land,so the land use in the basin will focus on the adjustment of forest and construction land in 2030.The land use intensity will change slowly,and the urban construction space will be controlled to a certain extent.…”
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    Temporal-spatial evolution and formation mechanism of energy consumption carbon footprint at county scale in the Yellow River Basin by Liyan Zhang, Mei Song, Yan Gao

    Published 2025-01-01
    “…Abstract The development and implementation of county carbon control action plans in the Yellow River Basin (YRB) are crucial for realizing the “dual carbon” goals and modernizing national governance. …”
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