Variation spatio-temporelle de la recharge des eaux souterraines en réponse à la variabilité des sols, des précipitations et de l’occupation des sols, Bassin de Yanqing, Beijing, Chine Variación espacio - temporal de la recarga del agua subterránea en respuesta a la variabilidad en la precipitación, uso de la tierra y suelo en la cuenca Yanqing, Beijing, China 降水、土地利用、土壤变化引起的地下水补给量时空变异:以中国北京延庆盆地为例 Variação espaço-temporal da recarga de água subterrânea em resposta à variabilidade da precipitação, uso e tipo de solo na Bacia de Yanqing, Pequim, China

Gong, Huili; Pan, Yun; Xu, Yongxin

Variation spatio-temporelle de la recharge des eaux souterraines en réponse à la variabilité des sols, des précipitations et de l’occupation des sols, Bassin de Yanqing, Beijing, Chine Variación espacio - temporal de la recarga del agua subterránea en respuesta a la variabilidad en la precipitación, uso de la tierra y suelo en la cuenca Yanqing, Beijing, China 降水、土地利用、土壤变化引起的地下水补给量时空变异:以中国北京延庆盆地为例 Variação espaço-temporal da recarga de água subterrânea em resposta à variabilidade da precipitação, uso e tipo de solo na Bacia de Yanqing, Pequim, China | Spatio-temporal variation of groundwater recharge in response to variability in precipitation, land use and soil in Yanqing Basin, Beijing, China

2012

Gong, Huili | Pan, Yun | Xu, Yongxin

It is important to understand how groundwater recharge responds to precipitation variability in space and time, especially in those areas such as Yanqing Basin (China), where groundwater represents the sole water resource. A simple soil-water balance method is applied for spatio-temporal simulation of groundwater recharge in Yanqing Basin from 1981 to 2000. It was implemented on a monthly time step considering the effects of land use and soil texture. The area-average recharge associated with various land uses and soil textures was then compared with zonal analysis using a geographic information system (GIS). The main findings include: (1) the variation of groundwater recharge follows precipitation changes, either at yearly or seasonal intervals, (2) land use plays a more influential role in groundwater recharge than soil texture in this area, and (3) the water table quickly rises in response to recharge in the shallow parts of the aquifer, while there is a delay of 0.5–1.0 years where the groundwater level is at depth 4–10 m. The application demonstrates how spatio-temporal analysis can be utilized for groundwater-recharge estimation through distributed modeling and GIS.

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