A tributary-comparison method to quantify the human influence on hydrological drought

Li, Qiaoqiao; Zhou, Junju; Zou, Wen-yue; Zhao, Xi; Huang, Peng; Wang, Lanying; Shi, Wenzhong; Ma, Xiaoyan; Zhao, Yaru; Xue, Dongxiang; Dou, Jiao; Wei, Wei; Zhu, Guannan

doi:10.1016/j.jhydrol.2020.125652

Cited by 17 publications

(11 citation statements)

References 20 publications

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“…Using drought characteristic indexes to study drought propagation can better reflect the essence of drought propagation, and the propagation law and mechanism of drought characteristics between different drought types remain to be clarified. proposed the Drought Propagation Intensity Index (DPI), studied the propagation intensity of meteorological drought to hydrological drought in the Shiyang River basin, and obtained the calculation results in line with the actual situation and further application (Li, Zhou, et al, 2021). But obvious defects appeared when applied to a wide range.…”

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confidence: 90%

“…Zhou, Li, et al. (2019) proposed the Drought Propagation Intensity Index (DPI), studied the propagation intensity of meteorological drought to hydrological drought in the Shiyang River basin, and obtained the calculation results in line with the actual situation and further application (Li, Zhou, et al., 2021). But obvious defects appeared when applied to a wide range.…”

Section: Introductionmentioning

confidence: 99%

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The Peer‐To‐Peer Type Propagation From Meteorological Drought to Soil Moisture Drought Occurs in Areas With Strong Land‐Atmosphere Interaction

Zhang

et al. 2022

Water Resources Research

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confidence: 90%

Section: Introductionmentioning

confidence: 99%

The Peer‐To‐Peer Type Propagation From Meteorological Drought to Soil Moisture Drought Occurs in Areas With Strong Land‐Atmosphere Interaction

Zhang

et al. 2022

Water Resources Research

Self Cite

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“…With economic development and the expansion of urban land, the impact of human activities on regional drought has increased [84][85][86][87] and the impact of human activities on drought is greater than the duration of drought [88]. There are two aspects to the impact of human activities on drought.…”

Section: Accessibility Factorsmentioning

confidence: 99%

Spatial-Temporal Evolution and Driving Forces of Drying Trends on the Qinghai-Tibet Plateau Based on Geomorphological Division

Liu

Zhao

et al. 2022

IJERPH

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The Qinghai–Tibet Plateau (QTP) is a sensor of global climate change and regional human activities, and drought monitoring will help to achieve its ecological protection and sustainable development. In order to effectively control the geospatial scale effect, we divided the study area into eight geomorphological sub-regions, and calculated the Temperature-Vegetation Drought Index (TVDI) of each geomorphological sub-region based on MODIS Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) data, and synthesized the TVDI of the whole region. We employed partial and multiple correlation analyses to identify the relationship between TVDI and temperature and precipitation. The random forest model was further used to study the driving mechanism of TVDI in each geomorphological division. The results of the study were as follows: (1) From 2000 to 2019, the QTP showed a drought trend, with the most significant drought trend in the central region. The spatial pattern of TVDI changes of QTP was consistent with the gradient changes of precipitation and temperature, both showing a gradual trend from southeast to northwest. (2) There was a risk of drought in the four seasons of the QTP, and the seasonal variation of TVDI was significant, which was characterized by being relatively dry in spring and summer and relatively humid in autumn and winter. (3) Drought in the QTP was mainly driven by natural factors, supplemented by human factors. The driving effect of temperature and precipitation factors on TVDI was stable and significant, which mainly determined the spatial distribution and variation of TVDI of the QTP. Geomorphological factors led to regional intensification and local differentiation effects of drought, especially in high mountains, flat slopes, sunny slopes and other places, which had a more significant impact on TVDI. Human activities had local point-like and linear impacts, and grass-land and cultivated land that were closely related to the relatively high impacts on TVDI of human grazing and farming activities. In view of the spatial-temporal patterns of change in TVDI in the study area, it is important to strengthen the monitoring and early warning of changes in natural factors, optimize the spatial distribution of human activities, and scientifically promote ecological protection and restoration.

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“…Thus, the drivers of drought occurrence, development, and recovery cannot be considered as a natural process, but have shifted to a combination of natural and human factors (i.e., climate change and human activities) (Jiang et al., 2019; Van Loon et al., 2016). A few studies have considered the effects of human activities on drought, and there are roughly four ways to estimate the human impact: (a) the “upstream‐downstream” comparison method (Rangecroft et al., 2019); (b) the “runoff mutation point” method; (c) the “paired sub‐basins” method (Van Loon et al., 2019); (d) the “stem and tributary comparison” method (Li et al., 2021; Wang et al., 2020). However, the above methods are only applicable to small watersheds or their applicability is constrained by various conditions.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Human Activities on Hydrological Drought and Drought Propagation in China Using the PCR‐GLOBWB v2.0 Model

Yang,

Wu,

Yuan

et al. 2024

Water Resources Research

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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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A tributary-comparison method to quantify the human influence on hydrological drought

Cited by 17 publications

References 20 publications

The Peer‐To‐Peer Type Propagation From Meteorological Drought to Soil Moisture Drought Occurs in Areas With Strong Land‐Atmosphere Interaction

The Peer‐To‐Peer Type Propagation From Meteorological Drought to Soil Moisture Drought Occurs in Areas With Strong Land‐Atmosphere Interaction

Spatial-Temporal Evolution and Driving Forces of Drying Trends on the Qinghai-Tibet Plateau Based on Geomorphological Division

Quantifying the Impact of Human Activities on Hydrological Drought and Drought Propagation in China Using the PCR‐GLOBWB v2.0 Model

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