The influence of groundwater representation on hydrological simulation and its assessment using satellite-based water storage variation
文献类型:期刊论文
作者 | Huang, Zhongwei1,6; Tang, Qiuhong1,6![]() ![]() |
刊名 | HYDROLOGICAL PROCESSES
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出版日期 | 2019-04-15 |
卷号 | 33期号:8页码:1218-1230 |
关键词 | DBH model groundwater hydrological simulation river discharge terrestrial water storage |
ISSN号 | 0885-6087 |
DOI | 10.1002/hyp.13393 |
通讯作者 | Tang, Qiuhong(tangqh@igsnrr.ac.cn) |
英文摘要 | The interaction between surface water and groundwater is an important aspect of hydrological processes. Despite its importance, groundwater is not well represented in many land surface models. In this study, a groundwater module with consideration of surface water and groundwater dynamic interactions is incorporated into the distributed biosphere hydrological (DBH) model in the upstream of the Yellow River basin, China. Two numerical experiments are conducted using the DBH model: one with groundwater module active, namely, DBH_GW and the other without, namely, DBH_NGW. Simulations by two experiments are compared with observed river discharge and terrestrial water storage (TWS) variation from the Gravity Recovery and Climate Experiment (GRACE). The results show that river discharge during the low flow season that is underestimated in the DBH_NGW has been improved by incorporating the groundwater scheme. As for the TWS, simulation in DBH_GW shows better agreement with GRACE data in terms of interannual and intraseasonal variations and annual changing trend. Furthermore, compared with DBH_GW, TWS simulated in DBH_NGW shows smaller decreases during autumn and smaller increases in spring. These results suggest that consideration of groundwater dynamics enables a more reasonable representation of TWS change by increasing TWS amplitudes and signals and as a consequence, improves river discharge simulation in the low flow seasons when groundwater is a major component in runoff. Additionally, incorporation of groundwater module also leads to wetter soil moisture and higher evapotranspiration, especially in the wet seasons. |
WOS关键词 | LAND-SURFACE MODEL ; LEAF-AREA INDEX ; GLOBAL EVALUATION ; PART II ; CLIMATE ; RUNOFF ; PARAMETERIZATION ; VARIABILITY ; DYNAMICS ; DRAINAGE |
资助项目 | National Natural Science Foundation of China[41425002] ; National Natural Science Foundation of China[41730645] ; National Natural Science Foundation of China[41790424] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20060402] |
WOS研究方向 | Water Resources |
语种 | 英语 |
WOS记录号 | WOS:000464384200004 |
出版者 | WILEY |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/48105] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Tang, Qiuhong |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Natl Taiwan Univ, Dept Atmospher Sci, Taipei, Taiwan 3.Tsinghua Univ, Key Lab Earth Syst Modeling, Minist Educ, Beijing, Peoples R China 4.Tsinghua Univ, Ctr Earth Syst Sci, Beijing, Peoples R China 5.Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD USA 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Zhongwei,Tang, Qiuhong,Lo, Min-Hui,et al. The influence of groundwater representation on hydrological simulation and its assessment using satellite-based water storage variation[J]. HYDROLOGICAL PROCESSES,2019,33(8):1218-1230. |
APA | Huang, Zhongwei.,Tang, Qiuhong.,Lo, Min-Hui.,Liu, Xingcai.,Lu, Hui.,...&Leng, Guoyong.(2019).The influence of groundwater representation on hydrological simulation and its assessment using satellite-based water storage variation.HYDROLOGICAL PROCESSES,33(8),1218-1230. |
MLA | Huang, Zhongwei,et al."The influence of groundwater representation on hydrological simulation and its assessment using satellite-based water storage variation".HYDROLOGICAL PROCESSES 33.8(2019):1218-1230. |
入库方式: OAI收割
来源:地理科学与资源研究所
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