塔里木河下游区域水面蒸发影响因子敏感性分析

水面蒸发敏感因素的判断,对于干旱区水资源的规划与利用具有重要指导意义。本文以新疆塔里木河下游铁干里克气象站资料为例,对研究区水面蒸发影响因素进行分析。文章首先采用熵值法对水面蒸发进行敏感性分析,在此基础上运用灰色关联分析法进行验证。结果表明:温度、风速、日照时数这三因素对水面蒸发最为敏感;基于熵值法的敏感因素研究结果与灰色关联分析的结果基本一致,尤其在主要影响因素的判别上。研究结果干旱区水资源规划与利用提供了一种新方法和新思路。     

Moisture Sources and Their Contributions to Summer Precipitation in the East of Southwest China

Complex topography, special geographical location and sea-land-air interactions lead to high interannual variability of summer precipitation in the east of Southwest China (ESWC). However, the contributions, influencing factors and mechanisms of remote and local evaporation remain to be further investigated. Using clustering analysis and Hybrid Single-Particle Lagrangian Integrated Trajectory version 5 model, we analyze the contributions of remote moisture transport and local evaporation to summer precipitation in the ESWC and their causes. There are mainly five remote moisture channels in the ESWC, namely the Arabian Sea channel, Bay of Bengal channel, western Pacific channel, Northwest channel 1 and Northwest channel 2. Among the five channels, the western Pacific channel has the largest number of trajectories, while the Bay of Bengal channel has the largest contribution rate of specific humidity (33.33%) and moisture flux (33.14%). The amount of regional average precipitation is close to that of the precipitation caused by remote moisture transport, and both are considerably greater than the rainfall amount caused by local evaporation. However, on interannual time scales, precipitation recirculation rates are negatively correlated to regional average precipitation and precipitation caused by remote moisture transport but are consistent with that caused by local evaporation. An apparent "+ ? +" wave train can be found on the height anomaly field in East Asia, and the sea surface temperature anomalies are positive in the equatorial Middle-East Pacific, the South China Sea, the Bay of Bengal and the Arabian Sea. These phenomena cause southwest-northeast moisture transport with strong updrafts, thereby resulting in more precipitation in the ESWC.     

基于地表温度—植被指数三角/梯形特征空间的地表蒸散发遥感反演综述

地表蒸散发是地表水分循环和能量平衡的重要组成成分,其准确估算对农业灌溉与干旱监测、水资源管理、气候变化预估等研究至关重要.基于地表温度—植被指数三角/梯形特征空间开展地表蒸散发遥感反演及土壤蒸发/植被蒸腾分离是地表蒸散发定量遥感研究的国际热点与前沿课题之一.本文全面、系统、深入地综述了地表温度—植被指数三角/梯形空间反...     

基于主成分分析和BP神经网络的五道沟水面蒸发计算研究

针为探讨五道沟水面蒸发量与气象因子间的关系,准确估算该地区水面蒸发量,选取五道沟1991—2019年水面蒸发量以及气象因子实测资料,基于主成分法分析水面蒸发量的影响因素,并结合BP人工神经网络算法建立了水面蒸发计算模型.结果表明:主成分分析提取了三个主成分,第一主成分为地表温度、饱和差、绝对湿度、平均气温以及水汽压力差...