基于WRF-NoahLSM耦合模型的江苏省淮北地区土壤旱情评估  

Soil Drought Assessment of Huaibei Regions in Jiangsu Province Based on WRF-NoahLSM Coupled Model

作　　者：朱坚[1] 杨涛[1] 黄丹青[2,3] 周旭东[1] 黄利亚[4] 周毅[4] 

机构地区：[1]河海大学水文水资源与水利工程科学国家重点实验室,江苏南京210098 [2]南京大学大气科学学院,江苏南京210093 [3]中国科学院地球环境研究所黄土与第四纪地质国家重点实验室,陕西西安710075 [4]江苏省水文水资源勘测局,江苏南京210029

出　　处：《水电能源科学》2014年第10期10-13,5,共5页Water Resources and Power

基　　金：国家自然科学基金项目(41205038;41105044;51190091);黄土与第四纪地质国家重点实验室开放基金(SKLLQG1308);2012年江苏省水利科技研究计划项目

摘　　要：针对江苏省淮北地区土壤旱情评估问题,采用WRF-NoahLSM耦合模型模拟了淮北地区2011年2~7月降水量及土壤含水率,并与实测的降水量及土壤含水率做了对比,进而评估了淮北地区的土壤旱情。结果表明,WRF-NoahLSM耦合模型能较准确地模拟降水发生日和弱降水的降水量,以及2~7月土壤含水率变化规律;模拟土壤含水率的时空合格率大部分达到了60%以上,尤其是模拟深层土壤含水率的合格率较高;模拟评估淮北地区2、5、6月为中等干旱,3、4、7月为轻度干旱,在大部分地区模拟的干旱等级在干暖季略偏高,湿季略偏低。This study focused on the soil drought assessment of Huaibei regions in Jiangsu Province. Using atmosphere-land coupled model WRF-NoahLSM, the soil moisture is simulated over Huaibei regions during Feburary to July in 2011. The simulations of precipitation and soil moisture are compared to observations. Furthermore, soil drought assessment is conducted in Huaibei regions. The results show that weak precipitation and the precipitating date are well reproduced. This may lead to a good simulation on the variation of monthly soil moisture. The acceptability of simulated soil moisture is mostly over 60% for both spatial and temporal distribution. It is higher for the deeper soil layers. The class of simulated soil drought is moderate drought in February, May and June, while abnormally drought in March, April and July. This is quite consistent with the observed soil drought class in most part of Huaibe regions. However, the simulated drought class might be higher in warm dry seasons and be lower in wet season.

关 键 词：江苏省淮北地区 WRF-NoahLSM耦合模型 土壤含水率 干旱 

分 类 号：S165.25[农业科学—农业气象学]