基于土地利用类型的大气降水入渗补给量计算

发布时间：2018-04-26 12:26

本文选题：大气降水入渗补给量 + 遥感影像解译　；参考：《吉林大学学报(地球科学版)》2017年03期

【摘要】：影响大气降水入渗补给量的因素较为复杂,主要有土地利用类型、降水量、包气带厚度及岩性等。随着遥感影像解译技术的发展,人们能更精确地识别空间土地利用类型,从而更精确地计算大气降水入渗补给量,并了解其空间分布。综合考虑这些影响因素,本文提出了一种基于土地利用类型,并结合地理信息系统(GIS)和VBA(visual basic for applications)编程技术的大气降水入渗补给量计算方法(PIRCL)。以广州市广花盆地为例,利用PIRCL法计算得到该地多年平均大气降水入渗补给量为14 369万m3,该结果与水量平衡法计算得到的大气降水入渗补给量结果相近,相对误差约为2.4%;并且,计算得到的大气降水入渗补给量空间分布基本合理。与水量平衡法相比,PIRCL法计算大气降水入渗补给量只需区域遥感数据、区域降水量数据、对应时段地下水位动态变化及区域水文地质参数,不需要计算地下水其他的补给、排泄项,可以省略大量的工作量,且方便编程实现。
[Abstract]:The factors that affect the infiltration amount of atmospheric precipitation are complicated, such as land use type, precipitation, thickness of aeration zone and lithology, etc. With the development of remote sensing image interpretation technology, people can more accurately identify the types of spatial land use, thus more accurately calculate the rainfall infiltration recharge and understand its spatial distribution. Considering these influencing factors, this paper presents a method of calculating precipitation infiltration recharge based on land use type and GIS and VBA(visual basic for applications) programming technology. Taking Guangzhou Guangzhou wide flowerpot as an example, the annual average atmospheric precipitation infiltration recharge is 143.69 million m3 calculated by PIRCL method, which is close to the result of water balance method, and the relative error is about 2.4%. The spatial distribution of precipitation infiltration recharge is basically reasonable. Compared with the water balance method, the PIRCL method only needs the regional remote sensing data, the regional precipitation data, the dynamic change of groundwater level and the regional hydrogeological parameters in the corresponding period, and does not need to calculate the other recharge of groundwater. Excretory items, can be omitted a large number of workload, and easy to achieve programming.
【作者单位】：河海大学水文水资源学院;南京水利科学研究院;
【基金】：国家自然科学基金项目(41572210)~~
【分类号】：P641.2

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