A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach
Abstract A new framework has been developed to assess the health of surface water resources in a basin, integrating a modified Multivariate Standardized Runoff Index with the concepts of reliability, resiliency, and vulnerability, using both traditional (fixed) and fuzzy approaches. This framework h...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-07-01
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| Series: | Applied Water Science |
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| Online Access: | https://doi.org/10.1007/s13201-025-02543-w |
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| author | Mohammad Mahdi Dorafshan Mohammad Hossein Golmohammadi Carlo De Michele |
| author_facet | Mohammad Mahdi Dorafshan Mohammad Hossein Golmohammadi Carlo De Michele |
| author_sort | Mohammad Mahdi Dorafshan |
| collection | DOAJ |
| description | Abstract A new framework has been developed to assess the health of surface water resources in a basin, integrating a modified Multivariate Standardized Runoff Index with the concepts of reliability, resiliency, and vulnerability, using both traditional (fixed) and fuzzy approaches. This framework has been applied to the upstream sub-basin of the Zayandehrud Dam, Isfahan, Iran, for both the historical period (1990–2018) and future projections (2025–2053) under three emission scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. Also, a method was developed to automatic regulation of parameters the fuzzy membership function based on the real drought conditions of the basin. The main results revealed that (1) superior performance of the automated fuzzy approach in identifying drought intensity, making it more effective than the fixed approach in quantifying the health of the basin’s surface water resources under drought conditions; (2) the number of drought events and the mean drought intensity will be higher in the future periods than those in the historical one; (3) In the fixed approach, reliability, resiliency, and vulnerability values were estimated to be lower for the historical period than for the future period. Conversely, in the fuzzy approach, reliability and vulnerability values were comparable across both historical and future periods, while resiliency was estimated to be higher in the future period; and (4) classification of the basin’s health under drought conditions as "unhealthy" using the fixed approach for historical and future periods, compared to "moderate healthy" classification using the automated fuzzy approach for both periods. |
| format | Article |
| id | doaj-art-d25d2061a4ec4e55b2d92e17f65afc77 |
| institution | Kabale University |
| issn | 2190-5487 2190-5495 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Applied Water Science |
| spelling | doaj-art-d25d2061a4ec4e55b2d92e17f65afc772025-08-20T03:46:23ZengSpringerOpenApplied Water Science2190-54872190-54952025-07-0115812410.1007/s13201-025-02543-wA health index for surface water resources during drought: an automated fuzzy-based performance criteria approachMohammad Mahdi Dorafshan0Mohammad Hossein Golmohammadi1Carlo De Michele2Department of Civil Engineering, Isfahan University of TechnologyDepartment of Civil Engineering, Isfahan University of TechnologyDepartment of Civil and Environmental Engineering, Politecnico di MilanoAbstract A new framework has been developed to assess the health of surface water resources in a basin, integrating a modified Multivariate Standardized Runoff Index with the concepts of reliability, resiliency, and vulnerability, using both traditional (fixed) and fuzzy approaches. This framework has been applied to the upstream sub-basin of the Zayandehrud Dam, Isfahan, Iran, for both the historical period (1990–2018) and future projections (2025–2053) under three emission scenarios: SSP1-2.6, SSP2-4.5, and SSP5-8.5. Also, a method was developed to automatic regulation of parameters the fuzzy membership function based on the real drought conditions of the basin. The main results revealed that (1) superior performance of the automated fuzzy approach in identifying drought intensity, making it more effective than the fixed approach in quantifying the health of the basin’s surface water resources under drought conditions; (2) the number of drought events and the mean drought intensity will be higher in the future periods than those in the historical one; (3) In the fixed approach, reliability, resiliency, and vulnerability values were estimated to be lower for the historical period than for the future period. Conversely, in the fuzzy approach, reliability and vulnerability values were comparable across both historical and future periods, while resiliency was estimated to be higher in the future period; and (4) classification of the basin’s health under drought conditions as "unhealthy" using the fixed approach for historical and future periods, compared to "moderate healthy" classification using the automated fuzzy approach for both periods.https://doi.org/10.1007/s13201-025-02543-wHydrological healthHydrological drought indexRRV conceptsFuzzy membership functionClimate changeZayandehrud dam |
| spellingShingle | Mohammad Mahdi Dorafshan Mohammad Hossein Golmohammadi Carlo De Michele A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach Applied Water Science Hydrological health Hydrological drought index RRV concepts Fuzzy membership function Climate change Zayandehrud dam |
| title | A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach |
| title_full | A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach |
| title_fullStr | A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach |
| title_full_unstemmed | A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach |
| title_short | A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach |
| title_sort | health index for surface water resources during drought an automated fuzzy based performance criteria approach |
| topic | Hydrological health Hydrological drought index RRV concepts Fuzzy membership function Climate change Zayandehrud dam |
| url | https://doi.org/10.1007/s13201-025-02543-w |
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