Quantifying the impact of climate change and human activities on the eco-hydrological regimes of the Weihe River Basin, Northwest China DOI Creative Commons
S. S. Jiang,

Yating Liu,

Menghao Wang

et al.

Hydrology Research, Journal Year: 2022, Volume and Issue: 54(1), P. 49 - 64

Published: Dec. 23, 2022

Abstract Climate change and anthropogenic interventions have obviously altered the eco-hydrological regimes. A quantitative evaluation attribution of alterations are urgently required. In this study, we evaluated various attributions regimes in Weihe River Basin (WRB). Firstly, trends change-point analysis hydrological elements were examined, natural streamflow was reproduced based on variable infiltration capacity model. Then, most ecologically relevant indicators (ERHIs) selected combined with eco-deficit eco-surplus to assess degree regime alterations. Finally, relative contributions quantified using ‘simulated–observed comparison’ method. The results showed that (1) WRB exhibited significant decreasing (p < 0.01), a point 0.01) series identified 1990. (2) Seven representative alteration as ERHIs. (3) During human-induced period (1991–2017), human activities dominant factors well variations ERHI indexes metrics. Overall, proposed framework may improve understanding driving forces under changing environment.

Language: Английский

Drought propagation under global warming: Characteristics, approaches, processes, and controlling factors DOI
Xuan Zhang, Zengchao Hao, Vijay P. Singh

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 838, P. 156021 - 156021

Published: May 16, 2022

Language: Английский

Citations

298

Evaluation of the impacts of human activities on propagation from meteorological drought to hydrological drought in the Weihe River Basin, China DOI
Te Zhang, Xiaoling Su, Gengxi Zhang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 819, P. 153030 - 153030

Published: Jan. 14, 2022

Language: Английский

Citations

119

Impacts of Global Climate Warming on Meteorological and Hydrological Droughts and Their Propagations DOI Creative Commons

Guiyang Wu,

Jie Chen,

Xinyan Shi

et al.

Earth s Future, Journal Year: 2022, Volume and Issue: 10(3)

Published: March 1, 2022

Meteorological to hydrological drought propagation has been widely studied reflect the relationship between these categories and better understand mechanisms. However, global warming may alter features, which are not fully understood. This study aims investigate changes in meteorological conditions, especially their features 1.5–3.0°C warmer climates for 8,655 watersheds globally. First, three-month scale standardized precipitation index runoff calculated based on simulated by 15 climate models four models, respectively. Drought events then identified using run theory, followed calculation of (i.e., pooling, lag, lengthening) matched droughts. As a result, both conditions duration severity) would relieve due increased regions excluding Western North America, South Mediterranean, Southern Africa, East Asia, Australia. be more severe during from droughts over most regions. During propagation, worsening half serious first relieved with rising temperature. These results indicate that efforts slow down can suppress deterioration propagation.

Language: Английский

Citations

85

A review of recent developments on drought characterization, propagation, and influential factors DOI
Vinícius de Matos Brandão Raposo, Veber Afonso Figueiredo Costa, André Ferreira Rodrigues

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 898, P. 165550 - 165550

Published: July 17, 2023

Language: Английский

Citations

68

Spatiotemporal heterogeneity in meteorological and hydrological drought patterns and propagations influenced by climatic variability, LULC change, and human regulations DOI Creative Commons
Yunyun Li, Yi Huang, Yanchun Li

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 12, 2024

Abstract This study aims to quantify meteorological–hydrological drought propagations and examine the potential impacts by climatic variability, LULC change (LULC), human regulations. An integrated observation-modeling framework quantifies propagation intervals assesses mechanisms influencing hydrological droughts. Meteorological droughts are characterized using Standardized Precipitation Evapotranspiration Index (SPEI), assessed through Streamflow (SSI) across diverse zones. Cross-correlation analysis between SPEI SSI time series identifies lag associated with highest correlation as interval. Mechanisms investigated via a coupled empirical-process modeling incorporating Soil Water Assessment Tool (SWAT). Discrepancies simulated observed help extent of regulation on characteristics propagation. The Yellow River Basin (YRB), divided into six subzones based climate characteristics, is selected case study. Key findings include: (1) were extremely severe most YRB during 1990s, while 2000s showed some mitigation primarily due precipitation increases. (2) Hydrological times from meteorology hydrology demonstrated substantial spatiotemporal variability. In general, summer shorter than other seasons. (3) Propagation in arid regions cropland or built-up land cover versus grassland woodland, reverse held for humid regions. (4) Human regulations prolonged times, likely reservoir designed overcome water deficits. While focus this paper, methodologies applicable worldwide enhance forecasting resource management. various contexts worldwide.

Language: Английский

Citations

20

Deciphering the influence of climate change and human activities on the drought propagation DOI Creative Commons

Weiru Zhao,

Jiefeng Wu, Erhu Du

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 51, P. 101654 - 101654

Published: Jan. 10, 2024

The Yiluo River Basin (YLRB), China Understanding the alterations in drought propagation under evolving environmental conditions is crucial for efficient management of water resources. In this study, 'simulation-observation' comparison method was employed to analyze distinct periods: baseline, simulated, and disturbed periods. This facilitated quantification impact climate change human activities on characteristics, such as response time Standardized Streamflow Index (SSI) Precipitation (SPI) threshold. times SSI SPI has been prolonged at monthly seasonal scales due change, while it reduced annual scale. lengthening only evident longer temporal scales. Human have contributed higher thresholds severe extreme droughts scales, increasing probability droughts. Meanwhile, partially offset negative impacts activities. However, scale, main cause thresholds. conclusions drawn from research provide valuable insights development policies aimed managing a changing environment.

Language: Английский

Citations

18

Triggering thresholds and influential factors in the propagation of meteorological drought to hydrological drought DOI Creative Commons

Na Zhen,

Rui Yao, Peng Sun

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 57, P. 102184 - 102184

Published: Jan. 11, 2025

Language: Английский

Citations

3

Anthropogenic drought in the Yellow River basin: Multifaceted and weakening connections between meteorological and hydrological droughts DOI
Yaping Wang, Shuai Wang, Yanqiang Chen

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 619, P. 129273 - 129273

Published: Feb. 14, 2023

Language: Английский

Citations

24

Drivers and characteristics of groundwater drought under human interventions in arid and semiarid areas of China DOI
Xiaofei Ren, Peiyue Li, Dan Wang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 631, P. 130839 - 130839

Published: Feb. 2, 2024

Language: Английский

Citations

13

Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin DOI Creative Commons
Arfan Arshad, Ali Mirchi, Saleh Taghvaeian

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(7)

Published: July 1, 2024

Abstract GRACE (Gravity Recovery and Climate Experiment) has been widely used to evaluate terrestrial water storage (TWS) groundwater (GWS). However, the coarse‐resolution of data limited ability identify local vulnerabilities in changes associated with climatic anthropogenic stressors. This study employs high‐resolution (1 km 2 ) generated through machine learning (ML) based statistical downscaling illuminate TWS GWS dynamics across twenty sub‐regions Indus Basin. Monthly anomalies obtained from a geographically weighted random forest (RF gw model maintained good consistency original at 25 grid scale. The downscaled 1 resolution illustrate spatial heterogeneity depletion within each sub‐region. Comparison in‐situ 2,200 monitoring wells shows that significantly improves agreement data, evidenced by higher Kling‐Gupta Efficiency (0.50–0.85) correlation coefficients (0.60–0.95). Hotspots highest decline rate between 2002 2023 were Dehli Doab (−442, −585 mm/year), BIST (−367, −556 Rajasthan (−242, −381 BARI (−188, −333 mm/year). Based on general additive model, 47%–83% was stressors mainly due increasing trends crop sown area, consumption, human settlements. lower (i.e., −25 −75 mm/year) upstream (e.g., Yogo, Gilgit, Khurmong, Kabul) where factors (downward shortwave radiations, air temperature, sea surface temperature) explained 72%–91% TWS/GWS changes. relative influences varied sub‐regions, underscoring complex interplay natural‐human activities basin. These findings inform place‐based resource management Basin advancing understanding vulnerabilities.

Language: Английский

Citations

13