Estimating Vegetation Greening Influences on Runoff Signatures Using a Log-Based Weighted Ensemble Method
文献类型：期刊论文
| 作者 | Huang, Qi2,3; Zhang, Yongqiang3; Ma, Ning3; Post, David1 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 58期号:12页码:26 |
| 关键词 | vegetation greening log-based weighted ensemble method runoff signature leaf area index change the Yellow River basin |
| ISSN号 | 0043-1397 |
| DOI | 10.1029/2022WR032492 |
| 通讯作者 | Zhang, Yongqiang(zhangyq@igsnrr.ac.cn) |
| 英文摘要 | Vegetation greening profoundly impacts the water cycle, and recent concerns about greening impacts have focused on various hydrological cycle components. However, the impacts of greening on catchment runoff signatures reflecting magnitude, low/high flow frequency, low/high flow duration and flow dynamics remain poorly understood. To properly simulate these runoff signatures, we use five modified hydrological models incorporating vegetation dynamics and further derive three ensemble approaches to obtain eight runoff time series outputs in a major tributary of the Yellow River Basin. Multiple validations suggest that the log-based weighted ensemble (LWE) approach is robust for depicting the impact of greening on selected runoff signatures. This is especially true for the low flow part of the runoff time series and the overall performance of the selected signatures since LWE explicitly reduces the low flow bias. With this approach, five experiments were designed to isolate the impact of vegetation greening on runoff signatures, and the comparisons among the experiments indicate that greening noticeably decreases runoff magnitude, increases low flow frequency/duration and decreases high flow frequency/duration signatures. However, greening has little influence on runoff dynamic signatures. Each percent increase in leaf area index results in (a) changes of -0.2 +/- 0.1% for magnitude signatures; (b) changes of -0.34 +/- 0.30% and 0.56 +/- 0.28% with wide ranges for annual high flow days and annual low flow days, respectively; and (c) marginal change on flow dynamic signatures. This study provides new insights by disentangling greening impacts on various runoff signatures using a trade-off ensemble method. |
| WOS关键词 | WEI RIVER-BASIN ; WATER YIELD ; GLOBAL EVAPOTRANSPIRATION ; HYDROLOGICAL MODEL ; CLIMATIC VARIABLES ; FOREST TYPE ; SIMULATIONS ; VARIABILITY ; IMPACT ; CHINA |
| 资助项目 | National Key R&D Program of China[2022YFC3002804] ; CAS Talents Program ; National Natural Science Foundation of China[41971032] ; Science for a Better Development of Inner Mongolia Program of the Bureau of Science and Technology of the Inner Mongolia Province[KJXM-EEDS-2020005] ; Bureau of Science and Technology of Ordos |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000929793200001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | National Key R&D Program of China ; CAS Talents Program ; National Natural Science Foundation of China ; Science for a Better Development of Inner Mongolia Program of the Bureau of Science and Technology of the Inner Mongolia Province ; Bureau of Science and Technology of Ordos |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/190079]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yongqiang |
| 作者单位 | 1.CSIRO Land & Water, Canberra, ACT, Australia 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Qi,Zhang, Yongqiang,Ma, Ning,et al. Estimating Vegetation Greening Influences on Runoff Signatures Using a Log-Based Weighted Ensemble Method[J]. WATER RESOURCES RESEARCH,2022,58(12):26. |
| APA | Huang, Qi,Zhang, Yongqiang,Ma, Ning,&Post, David.(2022).Estimating Vegetation Greening Influences on Runoff Signatures Using a Log-Based Weighted Ensemble Method.WATER RESOURCES RESEARCH,58(12),26. |
| MLA | Huang, Qi,et al."Estimating Vegetation Greening Influences on Runoff Signatures Using a Log-Based Weighted Ensemble Method".WATER RESOURCES RESEARCH 58.12(2022):26. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
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。