基于MODIS的淮河流域融雪量估算实现

Snowmelt Estimation in the Huai River Based on MODIS

摘要: 淮河流域面积大、海拔低，冬季流域内的降雪会全部融化并参与该流域的水循环，对其融雪研究是淮河流域水文研究的重要一环。然而淮河流域内气象站点数目较少、分布稀疏，传统的站点的实测方式难以满足流域融雪的研究。利用MODIS产品进行反演估算融雪量成为该缺资料地区融雪研究的有效手段。本文以度–日因子融雪估算理论为基础，将MODIS产品与地面气象站点实测数据相结合，设计了淮河流域融雪量估算的方法，并以2015~2016年冬季淮河流域雪数据和日平均气温为实验数据，对基于MODIS的融雪量估算方法进行了验证，并实现了淮河流域融雪量估算地理分布地图的绘制。最后对这种基于MODIS的融雪量估算方法的精度进行了一定的评估。

Abstract: The Huai River Basin covers a wide area which is also with low altitude. In winter, snow precipitated in this region would completely melt and would be involved in the water cycle. Thus the study of snowmelt is of great significance to hydrology research in this basin. However, the meteorological stations in the Huai River Basin are insufficient and sparsely distributed. So the traditional ground point measurement can hardly meet the demand of researching snowmelt in this basin. Using the MODIS production and the model inversion to estimate the snowmelt becomes an effective way to launch snowmelt research in this region. This paper is based on the theory of degree-day factor snowmelt estimation and combines the MODIS production with ground point measurement to establish an approach to estimate snowmelt. What’s more, the approach is tested by using data of snow-cover and average temperature of winter from 2015 to 2016. In addition, maps of the geographical distribution of snowmelt estimation in the Huai River Basin were mapped. Finally, the method for estimating the snowmelt in this paper is simply evaluated.