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对于干旱区内陆河流域来说,地下水埋深是指示当地生态变化的至关重要的因子。本文以新疆塔里木河下游为例,基于少量的监测井监测数据,尝试利用分类分段横向和纵向联合回归分析方法模拟地下水位空间分布变化,以1:1万DEM为基础数据运用GIS技术实现数字地下水埋深空间化。结合生态监测井实时监测数据以及地下水分布与植被的响应关系进行模拟精度分析,表明该模拟方法在地下水位监测数据较少和水文地质条件相对单一的干旱区内陆河具有一定的可行性。
For inland river basins in arid regions, groundwater depth is a crucial factor in indicating local ecological changes. Taking the lower reaches of the Tarim River in Xinjiang as an example, based on the monitoring data of a small number of monitoring wells, this paper attempts to simulate the spatial distribution of the groundwater level by using the method of combined classification of horizontal and vertical regression analysis. Using 1: 10000 DEM as the basic data, Groundwater depth of space. The simulation accuracy analysis based on the real-time monitoring data of ecological monitoring well and the response of groundwater distribution and vegetation shows that the simulation method is feasible in arid areas with less monitoring data of groundwater level and relatively single hydrogeological conditions.