Characterizing the groundwater storage–discharge relationship of small catchments in China

Author:

Yan Hong12ORCID,Hu Hongchang3,Liu Yaping14,Tudaji Mahmut3,Yang Ting1,Wei Zhongwang56,Chen Lajiao7,Khan Mohd Yawar Ali8,Chen Zhenghao1

Affiliation:

1. a College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

2. b School of Geographic Sciences, East China Normal University, Shanghai 200241, China

3. c Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China

4. d Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China

5. e Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 510275, Guangdong, China

6. f Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, Guangdong, China

7. g Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

8. h Department of Hydrogeology, Faculty of Earth Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia

Abstract

Abstract Baseflow recession is an essential part of the hydrological cycle, as it transfers unconfined aquifer storage to runoff. This study derived the parameterization of the baseflow recession from recession curves extracted from 382 catchments in China. The recession parameters of recession curves in power-law form, which control the shape of the curves and reflect the net effects of hillslope on the runoff decline process, are estimated by the baseflow recession analysis. The results show that the ranges of recession coefficient α and recession exponent β across China are 0–0.70 and 0.57–3, respectively. Most of the α values range between 0 and 0.20, and most of the β values range between 1 and 2. Generally, the α values of relatively dry catchments are higher than that of the wet catchments, and the distribution pattern of β values is opposite to that of α values. Statistical analysis is used to construct parametric equations for the recession parameters, indicating that catchment area, field capacity, etc., are essential for predicting α and β. In addition, the transplantation results of parametric equations show that equations can be applied to the estimation of α and β in other catchments. The results provide data support for storage estimation of data-scarce catchments.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Water Conservancy Science and Technology Innovation Project in Guangdong Province

Open Research Fund Program of State Key Laboratory of Hydroscience and Engineering

Publisher

IWA Publishing

Subject

Water Science and Technology

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