Spatiotemporal examination of seasonal surface water changes

The dataset supports spatiotemporal analysis of interactions between seasonal water, climate, land use, policy, and socioeconomic changes.

The seasonal water area data was extracted from The JRC Monthly Water History, V1.2. This entire history collection includes 430 monthly water detection images between March 1984 and December 2019. Each image contains 30m pixels with three possible cell values: 1 - not water (i.e., land), 2 - seasonal water, and 3 - permanent water. We aimed at examining the whole Hulun-Buir basin consisting of 12 banners. We counted the total number of cells with a 2 value each year over each banner from 2000 to 2014. We multiplied that number by 30m × 30m to get the yearly seasonal water areas by banners.

The data of precipitation and temperature were interpolated from the 50 weather stations in Inner Mongolia Autonomous Region (IMAR) of China (http://cdc.cma.gov.cn). The annual precipitation and the average temperature were spatially interpolated as two grid maps at 250m×250m using ArcGIS Inverse Distance Weighted (IDW). The cell values were resampled as the averaged values by counties.
The data of land-use and land-cover changes (LULC) primarily came from The NASA MCD12Q1 Data Product (https://lpdaac.usgs.gov/products/mcd12q1v006/) at 500 m resolution. 16 out of the 17 International Geosphere-Biosphere Program LULC types were found in the study area, except "Evergreen Broadleaf Forest" (http://www.igbp.net/).

The socioeconomic variables were entered from the statistic yearbooks of the IMAR from 2000 to 2015 (IMAR Statistical Bureau, 2001 - 2016).

All data are stored in the excel file, titled as HulunBuir_Seasonal_Water_Change_Research_Data_Sources. The worksheet called ‘Data’ contains all data items; the worksheet of ‘Explanation’ provides full names and measurement units of the abbreviated variable names; and the worksheet of ‘Banner_Names’ includes the Chinese and English names along with the index ID for the counties involved with the dataset. Banner is the Mongolian term of the English word, County.

该数据集支持对季节性水资源、气候、土地利用、政策以及社会经济变化的时空交互分析。季节性水资源区域数据源自《JRC月度水资源历史数据》，版本1.2。该历史数据集包括1984年3月至2019年12月间的430个月度水资源检测图像。每张图像包含30米像素，并可能包含三种单元格值：1 - 非水资源（即陆地），2 - 季节性水资源，3 - 永久性水资源。本研究旨在考察由12个旗组成的呼伦贝尔盆地。我们从2000年至2014年每年对每个旗中2值单元格的总数进行计数。然后，我们将该数字乘以30米×30米，以得到按旗划分的年度季节性水资源面积。降水和温度数据通过中国内蒙古自治区（IMAR）的50个气象站进行插值获得（http://cdc.cma.gov.cn）。年度降水量和平均温度以250米×250米的网格地图形式进行空间插值，使用ArcGIS Inverse Distance Weighted（IDW）方法。单元格值通过县进行重采样，以获得平均值。土地利用和土地覆盖变化（LULC）数据主要来自NASA MCD12Q1数据产品（https://lpdaac.usgs.gov/products/mcd12q1v006/），分辨率为500米。在研究区域内发现了17种国际地圈生物圈计划LULC类型中的16种，除了“常绿阔叶林”（http://www.igbp.net/）。社会经济变量数据来自2000年至2015年IMAR的统计年鉴（IMAR统计局，2001-2016）。所有数据存储在名为HulunBuir_Seasonal_Water_Change_Research_Data_Sources的Excel文件中。‘数据’工作表包含所有数据项；‘说明’工作表提供了缩写变量名称的全称和测量单位；‘Banner_Names’工作表包括涉及数据集的旗的中文和英文名称及其索引ID。‘旗’是蒙古语对英语单词‘县’的称呼。