Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran
The objectives of this study are to monitor and assess agricultural drought using SPI, aSPI, RDI, and eRDI indices in the Darreh Dozdan River Basin while comparing the performance of gamma and log-normal distributions in estimating the values of these indices. In this study, monthly meteorological d...
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Prof. Ata Amini
2025-05-01
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| Series: | Advances in Civil Engineering and Environmental Science |
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| Online Access: | https://www.aceesjr.com/article_218602_f23f18032b4f20319560002eb7aadf81.pdf |
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| author | Hedieh Ahmadpari Vitaly Khaustov |
| author_facet | Hedieh Ahmadpari Vitaly Khaustov |
| author_sort | Hedieh Ahmadpari |
| collection | DOAJ |
| description | The objectives of this study are to monitor and assess agricultural drought using SPI, aSPI, RDI, and eRDI indices in the Darreh Dozdan River Basin while comparing the performance of gamma and log-normal distributions in estimating the values of these indices. In this study, monthly meteorological data from the Kuhdasht synoptic station for the years 1998 to 2022 were used. Effective precipitation and potential evapotranspiration were estimated using the CROPWAT 8.0 model. Drought indices were estimated using DrinC 1.7 software. The findings indicate that the Darreh Dozdan River Basin has experienced agricultural droughts for 4, 8, 8, and 7 years, respectively, with varying intensities based on the SPI, aSPI, RDI, and eRDI indices. The agricultural drought assessment of the Darreh Dozdan River Basin shows that although the climate has been relatively stable in most years, the occurrence of multiple droughts increases the need for planning and management of water resources in agriculture. The results comparing the performance of the gamma and the log-normal distributions showed that both distributions estimate the values of agricultural drought indices close to each other, so that the drought classification for all indices is the same in the two distributions. |
| format | Article |
| id | doaj-art-5140509c32e142f086e5b939e9d2d36d |
| institution | Kabale University |
| issn | 3060-6780 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Prof. Ata Amini |
| record_format | Article |
| series | Advances in Civil Engineering and Environmental Science |
| spelling | doaj-art-5140509c32e142f086e5b939e9d2d36d2025-08-20T03:27:40ZengProf. Ata AminiAdvances in Civil Engineering and Environmental Science3060-67802025-05-0122728410.22034/acees.2025.512324.1022218602Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, IranHedieh Ahmadpari0Vitaly Khaustov1PhD Student, Hydrology of land, water resources, hydrochemistry, Russian State Hydrometeorological University, Saint Petersburg, RussiaCandidate of Technical Sciences, Associate Professor at the Department of Engineering Hydrology of the RSHU, Saint Petersburg, RussiaThe objectives of this study are to monitor and assess agricultural drought using SPI, aSPI, RDI, and eRDI indices in the Darreh Dozdan River Basin while comparing the performance of gamma and log-normal distributions in estimating the values of these indices. In this study, monthly meteorological data from the Kuhdasht synoptic station for the years 1998 to 2022 were used. Effective precipitation and potential evapotranspiration were estimated using the CROPWAT 8.0 model. Drought indices were estimated using DrinC 1.7 software. The findings indicate that the Darreh Dozdan River Basin has experienced agricultural droughts for 4, 8, 8, and 7 years, respectively, with varying intensities based on the SPI, aSPI, RDI, and eRDI indices. The agricultural drought assessment of the Darreh Dozdan River Basin shows that although the climate has been relatively stable in most years, the occurrence of multiple droughts increases the need for planning and management of water resources in agriculture. The results comparing the performance of the gamma and the log-normal distributions showed that both distributions estimate the values of agricultural drought indices close to each other, so that the drought classification for all indices is the same in the two distributions.https://www.aceesjr.com/article_218602_f23f18032b4f20319560002eb7aadf81.pdfagricultural droughteffective precipitationevapotranspirationdrought indicesmonitoring |
| spellingShingle | Hedieh Ahmadpari Vitaly Khaustov Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran Advances in Civil Engineering and Environmental Science agricultural drought effective precipitation evapotranspiration drought indices monitoring |
| title | Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran |
| title_full | Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran |
| title_fullStr | Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran |
| title_full_unstemmed | Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran |
| title_short | Agricultural Drought Monitoring Using Meteorological Indices in Darreh Dozdan Basin, Iran |
| title_sort | agricultural drought monitoring using meteorological indices in darreh dozdan basin iran |
| topic | agricultural drought effective precipitation evapotranspiration drought indices monitoring |
| url | https://www.aceesjr.com/article_218602_f23f18032b4f20319560002eb7aadf81.pdf |
| work_keys_str_mv | AT hediehahmadpari agriculturaldroughtmonitoringusingmeteorologicalindicesindarrehdozdanbasiniran AT vitalykhaustov agriculturaldroughtmonitoringusingmeteorologicalindicesindarrehdozdanbasiniran |