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中亚干旱区陆地水资源评估方法与挑战
引用本文:周启鸣,李剑锋,崔爱红,刘会增.中亚干旱区陆地水资源评估方法与挑战[J].水文,2021,41(1):15-21,72.
作者姓名:周启鸣  李剑锋  崔爱红  刘会增
作者单位:香港浸会大学地理系;深圳大学自然资源部大湾区地理环境监测重点实验室
基金项目:国家自然科学基金项目“干旱区陆地水资源评估及其对气候变化的响应”(41971386)。
摘    要:集中回顾中亚干旱区陆地水资源评估手段进展。水资源评估手段主要可分为基于观测数据和水文模型模拟两大类。从数据获取手段来讲,站点实测、遥感、再分析数据是目前中亚水资源评估的主要数据来源。其中,遥感数据又可分为成像遥感数据以及非成像遥感数据(包括雷达高度计、重力卫星数据)。由于干旱区站点资料缺乏,遥感与水文模型集成已经成为常用水资源评估方法之一。基于上述总结,对中亚干旱区在观测数据获取和数值模拟两个方面的展望及挑战进行了讨论。

关 键 词:中亚干旱区  水资源  多源数据  水文模型

The State-of-the-Art and Prospective of Terrestrial Water Resource Assessment in Central Asia Arid Zone
ZHOU Qiming,LI Jianfeng,CUI Aihong,LIU Huizeng.The State-of-the-Art and Prospective of Terrestrial Water Resource Assessment in Central Asia Arid Zone[J].Hydrology,2021,41(1):15-21,72.
Authors:ZHOU Qiming  LI Jianfeng  CUI Aihong  LIU Huizeng
Institution:(Department of Geography,Hong Kong Baptist University,Hong Kong 999077,China;MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area,Shenzhen University Shenzhen 518060,China)
Abstract:This paper focused on the state-of-the-art and prospective of water resources assessment methods in Central Asia arid-zone.Water resource assessment methods could be categorised based on two types of data:observations and hydrological model simulations.In terms of acquisition of observations,gauge measurements,remote sensing,and reanalysis data are the primary data sources of water resources assessment in Central Asia.The integration of remote sensing and hydrological models has become a widely employed water resources assessment method due to limited in-situ observations in Central Asia.Remote sensing data could be divided into imaging remote sensing data like Landsat and AMSR-E and non-imaging data including Radar altimeter and gravity satellite data.The integration of remote sensing and hydrological models has become one of commonly applied to assess the variations of water resource due to the lack of station data.Finally,the prospects and challenges of water resources research in Central Asia in terms of water resources assessment methods were summarized.
Keywords:arid land of central Asia  water resources  multi-source data  hydrological models
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