摘要 : Currently, point measurement and remote sensing technique are two frequently used methods to study the spatial-temporal distribution and pattern of soil moisture. However, point measurement is known as cost-intensive and time-cons... 展开 Currently, point measurement and remote sensing technique are two frequently used methods to study the spatial-temporal distribution and pattern of soil moisture. However, point measurement is known as cost-intensive and time-consuming, whereas remote sensing is limited in precision to describe spatial and temporal characteristics of soil moisture especially for deep layer soil. This study introduced a method to map farmland soil moisture using a distributed hydrological model (MODCYCLE) combined with the kriging interpolation method (KIM) at the regional scale. Handan City in the North China Plain was chosen as the study area to verify the method. According to the result, there is a significant consistency relationships between observed soil moisture data collected, respectively, from 12 monitoring stations and simulated results in this paper. The maximum relative error coefficient is as low as 8.8%, and even the minimum correlation coefficient is more than 0.66, which shows a good reliability and feasibility of this method. Moreover, the authors also analyzed the spatial characteristics of the soil moisture and assessed the drought vulnerability in the study area based on the soil moisture distribution map. Meanwhile, this paper also summarized a series of suggestions that could cope with agricultural water scarcity and ensure the sustainable development of grain production in this study area. 收起