Development of composite drought indices for the coastal areas of southeastern China: A case study of Jinjiang and Jiulongjiang River basins

dc.contributor.authorXu, Haiting
dc.contributor.authorZhu, Yonghua
dc.contributor.authorYağcı, Ali Levent
dc.contributor.authorLu, Haishen
dc.contributor.authorGou, Qiqi
dc.contributor.authorWang, Xiaoyi
dc.contributor.authorLiu, En
dc.date.accessioned2025-10-29T11:26:39Z
dc.date.issued2023
dc.departmentFakülteler, Mühendislik Fakültesi, Harita Mühendisliği Bölümü
dc.description.abstractGiven the complexity of coastal drought events and their unique impacts on coastal ecosystems, it is vital to develop drought indices that can reflect both freshwater availability and impacts on ecological resources to better assess drought conditions over coastal regions. Existing drought indices developed for upland areas may not be suitable to capture the timing and severity of drought in the coastal regions. To explore coastal drought issue more comprehensively, this paper constructed the Coastal Composite Drought Indices (CCDIs) based on the entropy-weighted Euclidean distance method by freely combining six variables: precipitation (P), evaporation (E), runoff (R), salinity (S), Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), in the Jinjiang River Basin (JJRB) and the Jiulong River Basin (JLRB). The CCDIs were later compared to the Standardized Precipitation Index (SPI) and Palmer Drought Severity Index (PDSI) to select the Optimized Drought Indices (ODIs). The results demonstrated that the Precipitation Evaporation Runoff Composite Index (PER) is more sensitive to capturing short-term coastal drought events compared to other CCDIs. PER performed better than SPI and PDSI in detecting the onset of drought development and reflecting drought persistence. The salinity exhibited mixed responses to long-term drought events in different river basins depending on the size of each coastal system and its characteristics, thus raising the issue of regional applicability. Through a series of cross-comparisons and validations, the Runoff NDVI LST Composite Index (RNL) and the Runoff Salinity NDVI Composite Index (RSN) were chosen to monitor long-term droughts in the JJRB and JLRB, respectively. Overall, all three indices have the ability to capture the dynamics and trends of the variables and provide better information on the occurrence, persistence, and end of droughts in coastal areas.
dc.description.sponsorshipNational Key Research and Development Program of China [2019YFC1510504]
dc.description.sponsorshipNational Natural Science Foundation of China [41830752, 42071033]
dc.description.sponsorshipThis work was supported by National Key Research and Development Program of China (Grant Nos. 2019YFC1510504) ; National Natural Science Foundation of China (Grant Nos. 41830752 and 42071033) .
dc.identifier.doi10.1016/j.jhydrol.2023.130210
dc.identifier.issn0022-1694
dc.identifier.issn1879-2707
dc.identifier.orcid0000-0003-4678-9206
dc.identifier.orcid0000-0003-1094-9204
dc.identifier.orcid0000-0002-2216-954X
dc.identifier.orcid0000-0002-7699-2902
dc.identifier.scopus2-s2.0-85173116362
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jhydrol.2023.130210
dc.identifier.urihttps://hdl.handle.net/20.500.14854/10358
dc.identifier.volume626
dc.identifier.wosWOS:001087018700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofJournal of Hydrology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectCoastal drought index
dc.subjectCoastal regions
dc.subjectWeighted Euclidean distance
dc.subjectMultivariate composite drought index
dc.titleDevelopment of composite drought indices for the coastal areas of southeastern China: A case study of Jinjiang and Jiulongjiang River basins
dc.typeArticle

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