Supply and demand dataset of agricultural water resources in Central Asian (2000s, 2010s, 2015s)
收藏地球大数据科学工程2021-09-23 更新2024-10-12 收录
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The data set of supply of agricultural water resources in Central Asian adopts the water balance method to calculate the precipitation and runoff depth on grid scale in five central Asian countries, respectively, and estimate the agricultural water resources supply in five central Asian countries. The data source is mainly the precipitation and runoff data products of NOAH model in GLDAS. Each original raster data of 0.25 ⁰ is resampled, starting from the upper-left corner of the original grid, and extending to the adjacent right and lower grids in turn, and every four grids (0.5 ⁰) are merged into one grid, taking the median data as the center point value corresponding to four grid of geographic coordinates. The extreme values of the grids could be eliminated. The data sets includes three time periods of 2000s (2001-2005), 2010s (2006-2010) and 2015s (2011-2015) with a spatial resolution of 0.5⁰*0.5⁰; The data of demand of agricultural water resources in Central Asia include irrigation water requirement of cotton and winter wheat in 2006, 2010 and 2016 over Central Asia. This was calculated by the equation of irrigation water requirement presented by FAO. It is expected to provide basic data support for distributed water cycle simulation, water supply and demand, development and utilization analysis in five central Asian countries.
中亚农业水资源供给数据集采用水平衡法,分别针对中亚五国的网格尺度计算降水与径流深,进而估算各国农业水资源供给量。本数据集的数据源主要为全球陆面数据同化系统(GLDAS)中NOAH模型的降水与径流数据产品。针对原始0.25°分辨率的栅格数据,均开展重采样处理:以原始网格左上角为起始点,依次向右侧、下方相邻网格延展,将每4个原始网格(对应0.5°地理尺度)合并为1个新网格,以中位数作为对应4个原始网格地理坐标的中心点数值,同时可剔除栅格中的极端异常值。本数据集包含三个时段:2000年代(2001-2005年)、2010年代(2006-2010年)以及2015年代(2011-2015年),空间分辨率为0.5°×0.5°。中亚农业水资源需水量数据集涵盖2006年、2010年、2016年中亚地区棉花与冬小麦的灌溉需水量,该需水量采用联合国粮食及农业组织(FAO)提出的灌溉需水量计算公式计算得到。本数据集可为中亚五国的分布式水循环模拟、水资源供需分析以及开发利用研究提供基础数据支撑。
创建时间:
2022-03-30



