论文部分内容阅读
由于土壤和水文气象等因子的空间变异性,区域尺度的农田水盐动态难以应用小尺度一维模型进行模拟。该文将一维农田水文模型(soil-water-atmosphere-plantmodel,SWAP)与ArcInfo进行紧密结合,构建了区域尺度的农田水盐动态模拟模型-GSWAP。该模型利用GIS强大的空间数据分析与处理功能,可高效地进行模型数据的前后处理与分析。模型将研究区划分为多个均质单元进行模拟,并以RS反演的表土含水率和ETa为观测资料,运用遗传算法确定各单元等效土壤水力参数。该文以内蒙河套灌区永联试验区为背景,对GSWAP模型进行了应用分析。结果表明,应用GSWAP模型可高效地进行区域农田水盐动态模拟,实现数据输入输出、可视化显示与空间分析,且永联试验区的模拟结果具有合理性。
Due to the spatial variability of soil and hydro-meteorological factors, it is difficult to simulate the dynamics of water and salt content at the regional scale by using a one-dimensional small-scale model. In this paper, a one-dimensional farmland hydrological model (soil-water-atmosphere-plantmodel, SWAP) and ArcInfo closely integrated to build a regional scale of the farmland water and salt dynamic simulation model-GSWAP. The model uses GIS powerful spatial data analysis and processing functions, which can efficiently deal with and analyze the model data before and after. The model divides the study area into multiple homogeneous units for simulation. Based on the observed data of surface water content and ETa retrieved by RS, the equivalent soil hydraulic parameters of each unit are determined by genetic algorithm. Based on the background of Yonglian experimental area in Hetao Irrigation District of Inner Mongolia, the GSWAP model was applied and analyzed. The results show that applying GSWAP model can effectively simulate the water and salt dynamics in the farmland, realize the data input and output, visual display and spatial analysis, and the simulation results of Yonglian experimental area are reasonable.