基于SVAT模型的喀斯特地区水文过程尺度效应研究

水文模型尺度效应是水文学研究的前沿问题，为深入探索水文模型的空间尺度效应，本文采用耦合遥感数据的 SVAT 模型，分别在研究区—区县单元—小流域三个不同量级的空间尺度，基于蓝水绿水视角，对贵阳市非城镇地区的水文变化过程进行模拟，结果表明：在降水量保持不变的情况下，随着植被覆盖度的不断增加，三个不同空间尺度的生态绿水量均呈线性增长趋势；渗漏量在区县和小流域空间尺度，产生了少量异常值，但均为小数点第三位之后的微小波动；水文变化趋势总体上表现出良好的一致性；SVAT 模型对研究区水文变化过程的模拟，尺度效应影响较为有限。

Study on simulation of scale effect of hydrological processes in karst area by SVAT model

The scale effect of remote sensing hydrological model is one of the frontiers of hydrology research. In order to further explore the spatial scale effect of hydrological models, in this paper, based on the blue water and green water perspective, the SVAT model coupled with remote sensing data was used to simulate the hydrology change process in non-urban areas of Guiyang City at three spatial scales of different magnitudes:region, district/county unit, and small watershed. It has been found that with the continuous increase of vegetation coverage, the amount of ecological green water at three different spatial scales shows a linear growth trend under the condition of unchanged precipitation; at the spatial scale of districts, counties and small watersheds, a small number of outliers are generated, but they are all small fluctuations after the third decimal place;the hydrological change trends generally show good consistency. The research results show that the SVAT model has limited influence on the scale effect in the simulation of the hydrological change process in the study area.