维多利亚湖流域水资源可供水数据集1981_2020年_季节尺度_子流域

利用HydroSHEDS数字高程数据（空间分辨率15s）、RCMRD土地覆被数据（空间分辨率30m）、HWSD土壤类型数据（1000m、；CHIRPS （0.05°逐日）降水数据、ERA5-Land （0.1°逐日）气温、太阳辐射、风速数据、ERA5 （0.25°逐日）相对湿度数据、GRDC等站点流量数据、以及用水数据（Huang et al., 2018），构建维多利亚湖流域的SWAT模型，模拟获得子流域径流量。采用Tennant法考虑河道维持自身一定功能的水量要求，估算自然来水条件下的流域可供给水资源量。基于各入湖子流域历史用水与人口（FAO）的非线性变化关系，采用二次多项式拟合方法，结合未来人口变化，预估流域未来可能的用水信息，在外延式需水增长要求以及流域水利工程供水能力协同提升假设前提下，估算获得流域现状自然来水条件下的可供给水资源量。Leveraging multiple geospatial and hydrological datasets including HydroSHEDS digital elevation data (spatial resolution: 15 arc-seconds), RCMRD land cover data (30 m spatial resolution), HWSD soil type data (1000 m spatial resolution), CHIRPS daily precipitation data (0.05° spatial resolution), ERA5-Land daily air temperature, solar radiation and wind speed data (0.1° spatial resolution), ERA5 daily relative humidity data (0.25° spatial resolution), streamflow data from GRDC stations, and water use data (Huang et al., 2018), a SWAT model for the Lake Victoria Basin was constructed to simulate sub-basin runoff. The Tennant method was utilized to account for instream flow requirements for maintaining basic channel functions, and the available water resources of the basin under natural inflow conditions were estimated. Based on the nonlinear relationship between historical water use and population (from FAO) for each sub-basin discharging into Lake Victoria, the quadratic polynomial fitting method was adopted, combined with future population projections, to project the future potential water use of the basin. Under the assumptions of extensive water demand growth and coordinated improvement of the water supply capacity of basin water conservancy projects, the available water resources of the basin under current natural inflow conditions were estimated.

搜集汇总

背景与挑战

背景概述

该数据集是维多利亚湖流域1981年至2020年季节尺度的可用水资源数据集，基于SWAT模型和多源数据模拟子流域径流，并考虑河流生态需水估算可用水资源量。数据具有较高精度，模拟径流偏差在±20%以内，可用水资源拟合确定性系数普遍高于0.8，适用于水资源管理和气候变化研究。