Assimilation of Snowmelt Runoff Model (SRM) Using Satellite Remote Sensing Data in Budhi Gandaki River Basin, Nepal
Pangali Sharma, Til Prasad2,3; Zhang, Jiahua2,3; Khanal, Narendra Raj4; Prodhan, Foyez Ahmed2,3,5; Paudel, Basanta6; Shi, Lamei2,3; Nepal, Nirdesh3
刊名REMOTE SENSING
2020-06-01
卷号12期号:12页码:21
关键词snowmelt runoff SRM MODIS ECMWF Gandaki River
DOI10.3390/rs12121951
通讯作者Zhang, Jiahua(zhangjh@radi.ac.cn)
英文摘要The Himalayan region, a major source of fresh water, is recognized as a water tower of the world. Many perennial rivers originate from Nepal Himalaya, located in the central part of the Himalayan region. Snowmelt water is essential freshwater for living, whereas it poses flood disaster potential, which is a major challenge for sustainable development. Climate change also largely affects snowmelt hydrology. Therefore, river discharge measurement requires crucial attention in the face of climate change, particularly in the Himalayan region. The snowmelt runoff model (SRM) is a frequently used method to measure river discharge in snow-fed mountain river basins. This study attempts to investigate snowmelt contribution in the overall discharge of the Budhi Gandaki River Basin (BGRB) using satellite remote sensing data products through the application of the SRM model. The model outputs were validated based on station measured river discharge data. The results show that SRM performed well in the study basin with a coefficient of determination (R-2) >0.880. Moreover, this study found that the moderate resolution imaging spectroradiometer (MODIS) snow cover data and European Centre for Medium-Range Weather Forecasts (ECMWF) meteorological datasets are highly applicable to the SRM in the Himalayan region. The study also shows that snow days have slightly decreased in the last three years, hence snowmelt contribution in overall discharge has decreased slightly in the study area. Finally, this study concludes that MOD10A2 and ECMWF precipitation and two-meter temperature products are highly applicable to measure snowmelt and associated discharge through SRM in the BGRB. Moreover, it also helps with proper freshwater planning, efficient use of winter water flow, and mitigating and preventive measures for the flood disaster.
资助项目CAS Strategic Priority Research Program[XDA19030402] ; Natural Science Foundation of China[41871253] ; Taishan Scholar Project of Shandong Province[TSXZ201712]
WOS关键词CLIMATE-CHANGE ; SUSTAINABLE DEVELOPMENT ; WATER AVAILABILITY ; HIMALAYAN BASIN ; COVER ; GLACIER ; MODIS ; VULNERABILITY ; TEMPERATURE ; VARIABILITY
WOS研究方向Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000550370200001
资助机构CAS Strategic Priority Research Program ; Natural Science Foundation of China ; Taishan Scholar Project of Shandong Province
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/158304]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Jiahua
作者单位1.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Land Surface Proc, Chengdu 610041, Peoples R China
2.Chinese Acad Sci, Key Lab Digital Earth Sci, Aerosp Informat Res Inst AIR, Beijing 100094, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Tribhuvan Univ, Cent Dept Geog, Kathmandu 66613, Nepal
5.Bangabandhu Sheikh Mujibur Rahman Agr Univ, Gazipur 1706, Bangladesh
6.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Pangali Sharma, Til Prasad,Zhang, Jiahua,Khanal, Narendra Raj,et al. Assimilation of Snowmelt Runoff Model (SRM) Using Satellite Remote Sensing Data in Budhi Gandaki River Basin, Nepal[J]. REMOTE SENSING,2020,12(12):21.
APA Pangali Sharma, Til Prasad.,Zhang, Jiahua.,Khanal, Narendra Raj.,Prodhan, Foyez Ahmed.,Paudel, Basanta.,...&Nepal, Nirdesh.(2020).Assimilation of Snowmelt Runoff Model (SRM) Using Satellite Remote Sensing Data in Budhi Gandaki River Basin, Nepal.REMOTE SENSING,12(12),21.
MLA Pangali Sharma, Til Prasad,et al."Assimilation of Snowmelt Runoff Model (SRM) Using Satellite Remote Sensing Data in Budhi Gandaki River Basin, Nepal".REMOTE SENSING 12.12(2020):21.
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