{"title":"Changes in future drought characteristics in the Ili River Basin, China, using the new comprehensive standardized drought index","authors":"Zilong Li , Zhenxia Mu , Xiaoyan Qiu , Jing Liu","doi":"10.1016/j.ecolind.2025.113412","DOIUrl":null,"url":null,"abstract":"<div><div>The construction of a comprehensive drought index and the evaluation of future drought characteristics are important for drought management decisions. In this study, we constructed a new comprehensive drought index (SWCI) that can comprehensively characterize the meteorological-hydrological-agricultural drought characteristics based on the hydro-meteorological factors (precipitation, evapotranspiration, soil water, surface runoff, and underground runoff, etc.) simulated by the VIC model coupled with the CMIP6 GCMs, and by using the D-Vine Copula function. Then, we applied the SWCI index to the Ili River Basin (IRB) and analyzed the change characteristics of comprehensive drought in the study area under the future climate change scenario. The results show that: (1) The spatial downscaling effects of CMIP6 and the runoff simulation effect of the VIC model were better during the historical period (1961–2014), which can provide reliable runoff and hydro-meteorological prognosis data, (2) The SWCI index comprehensively considers the hydro-meteorological factors closely related to the occurrence and evolution of drought, and can monitor the occurrence and development process of drought well. It can comprehensively describe drought characteristics from meteorological, hydrological, and agricultural perspectives, (3) The comprehensive drought intensity and duration decreased in the eastern basin (IRB1) under the SSP1-2.6 scenario. In contrast, the intensity and duration of the whole basin increased under the SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, with an average increase of at least 7.40 %, 2.14 %, and 13.78 %, respectively, and (4) The drought return period showed significant differences. In the historical period, the return period of moderate and above drought events (S > 1, P > 1, D > 3) in the IRB was longer. In the future period (2025–2078), the drought return period with S > 1, P > 1 and D > 3 was shorter than that in the historical period, with the greatest reduction in the southern (IRB2) and western (IRB3) of basin. Our results suggest that the comprehensive drought risk in the Ili River Basin will increase during the mid-21st century, and relevant defense preparations should be made for high-risk regions (IRB2 and IRB3).</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113412"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25003425","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The construction of a comprehensive drought index and the evaluation of future drought characteristics are important for drought management decisions. In this study, we constructed a new comprehensive drought index (SWCI) that can comprehensively characterize the meteorological-hydrological-agricultural drought characteristics based on the hydro-meteorological factors (precipitation, evapotranspiration, soil water, surface runoff, and underground runoff, etc.) simulated by the VIC model coupled with the CMIP6 GCMs, and by using the D-Vine Copula function. Then, we applied the SWCI index to the Ili River Basin (IRB) and analyzed the change characteristics of comprehensive drought in the study area under the future climate change scenario. The results show that: (1) The spatial downscaling effects of CMIP6 and the runoff simulation effect of the VIC model were better during the historical period (1961–2014), which can provide reliable runoff and hydro-meteorological prognosis data, (2) The SWCI index comprehensively considers the hydro-meteorological factors closely related to the occurrence and evolution of drought, and can monitor the occurrence and development process of drought well. It can comprehensively describe drought characteristics from meteorological, hydrological, and agricultural perspectives, (3) The comprehensive drought intensity and duration decreased in the eastern basin (IRB1) under the SSP1-2.6 scenario. In contrast, the intensity and duration of the whole basin increased under the SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios, with an average increase of at least 7.40 %, 2.14 %, and 13.78 %, respectively, and (4) The drought return period showed significant differences. In the historical period, the return period of moderate and above drought events (S > 1, P > 1, D > 3) in the IRB was longer. In the future period (2025–2078), the drought return period with S > 1, P > 1 and D > 3 was shorter than that in the historical period, with the greatest reduction in the southern (IRB2) and western (IRB3) of basin. Our results suggest that the comprehensive drought risk in the Ili River Basin will increase during the mid-21st century, and relevant defense preparations should be made for high-risk regions (IRB2 and IRB3).
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.