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Quantifying the impact of human activities on hydrological drought and drought propagation in China using the PCR-GLOBWB v2.0 model

Quantifying the impact of human activities on hydrological drought and drought propagation in China using the PCR-GLOBWB v2.0 model
Quantifying the impact of human activities on hydrological drought and drought propagation in China using the PCR-GLOBWB v2.0 model

The economic and human losses caused by drought are increasing, driven by climate change, human activities, and increased exposure of livelihood activities in water-dependent sectors. Mitigation of these impacts for socio-ecological securit is necessary to gain a better understanding of how human activities contribute to the propagation of drought as water management further develops. The previous studies investigated the impact of human activities on a macro level, but they overlooked the specific effects caused by human water management measures. In addition, most studies focus on the propagation time (PT, the number of months from meteorological drought propagation to hydrological drought), while other drought propagation characteristics, such as duration, magnitude, and recovery time, are not yet sufficiently understood. To tackle these issues, the PCR-GLOBWB v2.0 hydrological model simulated hydrological processes in China under natural and human-influenced scenarios. The study assessed how human activities impact hydrological drought and its propagation. Result shows that human activities have exacerbated hydrological drought in northern China, while it is mitigated in the south. The propagation rate (PR, proportion of meteorological drought propagation to hydrological drought) ranges from 45% to 75%, and the PT is 6–23 months. The PR does not differ substantially between the north and south, while the PT is longer in the north. The PR decreases by 1%–60% due to human activities, and the PT decreases (1–13 months) in the north and increases (1–10 months) in the south. Human activities display significant variations in how they influence the propagation process of drought across different basins. The primary factors driving the spatial pattern of drought disparities are regional variations in irrigation methods and the storage capacity of reservoirs.

drought propagation, human activity, hydrological drought, meteorological drought, PCR-GLOBWB hydrological model
0043-1397
Yang, Xiaoli
c9b6c6a8-77b0-4c7e-b681-9b11d73e392d
Wu, Fan
af423be7-a614-4154-800e-67acbe790540
Yuan, Shanshui
3655995d-d16a-490b-8ad0-16f1b313167f
Ren, Liliang
ff52e99b-e5e3-4def-8e13-32384335a2e0
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Fang, Xiuqin
4224327a-1a16-43e5-a248-9f066825d726
Jiang, Shanhu
ec53b3ff-58df-48e0-abd7-877173dbf0ac
Liu, Yi
c476a06b-0b5b-4036-9d5a-00bd9ef130ef
Yang, Xiaoli
c9b6c6a8-77b0-4c7e-b681-9b11d73e392d
Wu, Fan
af423be7-a614-4154-800e-67acbe790540
Yuan, Shanshui
3655995d-d16a-490b-8ad0-16f1b313167f
Ren, Liliang
ff52e99b-e5e3-4def-8e13-32384335a2e0
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Fang, Xiuqin
4224327a-1a16-43e5-a248-9f066825d726
Jiang, Shanhu
ec53b3ff-58df-48e0-abd7-877173dbf0ac
Liu, Yi
c476a06b-0b5b-4036-9d5a-00bd9ef130ef

Yang, Xiaoli, Wu, Fan, Yuan, Shanshui, Ren, Liliang, Sheffield, Justin, Fang, Xiuqin, Jiang, Shanhu and Liu, Yi (2024) Quantifying the impact of human activities on hydrological drought and drought propagation in China using the PCR-GLOBWB v2.0 model. Water Resources Research, 60 (1), [e2023WR035443]. (doi:10.1029/2023WR035443).

Record type: Article

Abstract

The economic and human losses caused by drought are increasing, driven by climate change, human activities, and increased exposure of livelihood activities in water-dependent sectors. Mitigation of these impacts for socio-ecological securit is necessary to gain a better understanding of how human activities contribute to the propagation of drought as water management further develops. The previous studies investigated the impact of human activities on a macro level, but they overlooked the specific effects caused by human water management measures. In addition, most studies focus on the propagation time (PT, the number of months from meteorological drought propagation to hydrological drought), while other drought propagation characteristics, such as duration, magnitude, and recovery time, are not yet sufficiently understood. To tackle these issues, the PCR-GLOBWB v2.0 hydrological model simulated hydrological processes in China under natural and human-influenced scenarios. The study assessed how human activities impact hydrological drought and its propagation. Result shows that human activities have exacerbated hydrological drought in northern China, while it is mitigated in the south. The propagation rate (PR, proportion of meteorological drought propagation to hydrological drought) ranges from 45% to 75%, and the PT is 6–23 months. The PR does not differ substantially between the north and south, while the PT is longer in the north. The PR decreases by 1%–60% due to human activities, and the PT decreases (1–13 months) in the north and increases (1–10 months) in the south. Human activities display significant variations in how they influence the propagation process of drought across different basins. The primary factors driving the spatial pattern of drought disparities are regional variations in irrigation methods and the storage capacity of reservoirs.

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Water Resources Research - 2024 - Yang - Quantifying the Impact of Human Activities on Hydrological Drought and Drought - Version of Record
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Accepted/In Press date: 22 December 2023
Published date: 23 January 2024
Keywords: drought propagation, human activity, hydrological drought, meteorological drought, PCR-GLOBWB hydrological model

Identifiers

Local EPrints ID: 490764
URI: http://eprints.soton.ac.uk/id/eprint/490764
ISSN: 0043-1397
PURE UUID: c7b75487-1200-41b0-ad58-60399265370e
ORCID for Justin Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

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Date deposited: 06 Jun 2024 16:37
Last modified: 07 Jun 2024 01:47

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Contributors

Author: Xiaoli Yang
Author: Fan Wu
Author: Shanshui Yuan
Author: Liliang Ren
Author: Xiuqin Fang
Author: Shanhu Jiang
Author: Yi Liu

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