论文部分内容阅读
由于冰雪的存在及缺乏地面观测站点资料,高寒地区的水文模拟研究一直面临很大的困难。遥感数据能够提供大范围时空尺度上的地面信息对无资料地区有很大帮助。MODIS数据具有较高的时空分辨率深受人们关注。本文以长江上游泥曲流域为例,探求将MODIS遥感数据与地面气温数据相结合对新安江模型径流模拟的帮助,方法步骤如下:(1)建立MODIS雪覆盖面积与流域周围站气温关系,获取气温阈值;(2)依据气温阈值判别降水形式并计算融雪水当量;(3)将雨雪分离后的降水信息输入新安江模型模拟径流,并与新安江模拟结果(未考虑雨雪分离)和实测径流进行比较。研究结果显示改进方案(考虑雨雪分离)模拟效果更好,将有助于提高新安江模型在高寒无资料地区的径流模拟精度,为高寒无资料地区水资源管理及生态需水研究提供帮助。
Owing to the existence of ice and snow and the lack of data of ground observation stations, hydrological simulation research in the alpine region has been facing great difficulties. Remote sensing data can provide terrestrial information on a wide range of spatio-temporal scales, which is of great help to the unpolluted areas. MODIS data with high spatial and temporal resolution by the people’s attention. Taking muddy watershed in the upper reaches of the Yangtze River as an example, the paper tries to find out how to combine MODIS remote sensing data with ground temperature data to simulate the runoff simulation of Xin’anjiang River. The method steps are as follows: (1) Establish the relationship between MODIS snow cover and the temperature around the watershed, (2) Determine the form of precipitation based on the temperature threshold and calculate the amount of snowmelt water; (3) Input the precipitation information after precipitation into the Xin’anjiang model to simulate runoff and compare it with the Xin’anjiang model (without considering the separation of rain and snow) and Measured runoff for comparison. The results show that the simulation results of the improved scheme (taking into account the separation of rain and snow) are better, which will be helpful to improve the accuracy of runoff simulation of Xin’anjiang model in alpine cold areas and provide help for the research of water resources management and ecological water demand in alpine cold areas.