Quantifying Streamflow Variations in Ungauged Lake Basins by Integrating Remote Sensing and Water Balance Modelling: A Case Study of the Erdos Larus relictus National Nature Reserve, China | |
Liang, Kang | |
刊名 | REMOTE SENSING |
2017-06-01 | |
卷号 | 9期号:6页码:16 |
关键词 | lake streamflow ungauged basins remote sensing water balance model climate elasticity method |
ISSN号 | 2072-4292 |
DOI | 10.3390/rs9060588 |
通讯作者 | Liang, Kang(liangk@igsnrr.ac.cn) |
英文摘要 | Hydrological predictions in ungauged lakes are one of the most important issues in hydrological sciences. The habitat of the Relict Gull (Larus relictus) in the Erdos Larus relictus National Nature Reserve (ELRNNR) has been seriously endangered by lake shrinkage, yet the hydrological processes in the catchment are poorly understood due to the lack of in-situ observations. Therefore, it is necessary to assess the variation in lake streamflow and its drivers. In this study, we employed the remote sensing technique and empirical equation to quantify the time series of lake water budgets, and integrated a water balance model and climate elasticity method to further examine ELRNNR basin streamflow variations from1974 to 2013. The results show that lake variations went through three phases with significant differences: The rapidly expanding sub-period (1974-1979), the relatively stable sub-period (1980-1999), and the dramatically shrinking sub-period (2000-2013). Both climate variation (expressed by precipitation and evapotranspiration) and human activities were quantified as drivers of streamflow variation, and the driving forces in the three phases had different contributions. As human activities gradually intensified, the contributions of human disturbances on streamflow variation obviously increased, accounting for 22.3% during 1980-1999 and up to 59.2% during 2000-2013. Intensified human interferences and climate warming have jointly led to the lake shrinkage since 1999. This study provides a useful reference to quantify lake streamflow and its drivers in ungauged basins. |
资助项目 | National Natural Science Foundation of China[41501032] ; National Natural Science Foundation of China[41330529] ; Chinese Academy of Sciences Supported Consulting and Appraising Project Water Security Assurance Strategy and Countermeasures of China |
WOS关键词 | CLIMATE-CHANGE ; TIBETAN PLATEAU ; YELLOW-RIVER ; INDEX NDWI ; LAND-USE ; VEGETATION ; IMPACTS ; RUNOFF ; LEVEL ; DELINEATION |
WOS研究方向 | Remote Sensing |
语种 | 英语 |
出版者 | MDPI AG |
WOS记录号 | WOS:000404623900079 |
资助机构 | National Natural Science Foundation of China ; Chinese Academy of Sciences Supported Consulting and Appraising Project Water Security Assurance Strategy and Countermeasures of China |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/62957] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liang, Kang |
作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Liang, Kang. Quantifying Streamflow Variations in Ungauged Lake Basins by Integrating Remote Sensing and Water Balance Modelling: A Case Study of the Erdos Larus relictus National Nature Reserve, China[J]. REMOTE SENSING,2017,9(6):16. |
APA | Liang, Kang.(2017).Quantifying Streamflow Variations in Ungauged Lake Basins by Integrating Remote Sensing and Water Balance Modelling: A Case Study of the Erdos Larus relictus National Nature Reserve, China.REMOTE SENSING,9(6),16. |
MLA | Liang, Kang."Quantifying Streamflow Variations in Ungauged Lake Basins by Integrating Remote Sensing and Water Balance Modelling: A Case Study of the Erdos Larus relictus National Nature Reserve, China".REMOTE SENSING 9.6(2017):16. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论