Comparison of different drought monitoring indices in different climatic conditions in Iran

Atmósfera Pub Date : 2024-04-11 DOI:10.20937/atm.53319

Samir Rahnama, Ali Shahidi, Mostafa Yaghoobzadeh, Ali Akbar Mehran

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Abstract

This study evaluates drought in different climate zones (Rasht, Shiraz, and Birjand) in Iran, using meteorological, agricultural, and remote sensing drought indices. For this purpose, NDVI, SAVI, and SR were extracted from Landsat images for 2002 and 2014-2020. Then, these indices were compared with the SPI, SPEI, and PDSI. The results indicate an increase in drought and a decrease in vegetation cover in the study area. In Rasht, where the vegetation cover is high, NDVI and SAVI were equal. In Shiraz and Birjand, where the soil effect is more significant, the distance between these two indices increased, which shows that SAVI performs better than NDVI for Shiraz and Birjand. The results also show that the drought severity could grow with decreasing rainfall and more water demand due to temperature increases, according to SPI, SPEI, and PDSI criteria. The comparison of drought indices showed that the highest correlations were between NDVI plus SAVI and SPI in Rasht, SR and SPEI in Shiraz, and NDVI and SPEI in Birjand. Based on the results of the Mann-Kendall test, the increasing trend of drought in the studied area is confirmed based on the SPI, SPEI, and PDSI. Therefore, it is suggested that remote sensing techniques combined with drought indices can be considered a suitable tool for optimal management of water resources, land use planning, and reduction of costs due to drought.

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伊朗不同气候条件下不同干旱监测指数的比较

本研究利用气象、农业和遥感干旱指数评估了伊朗不同气候区（拉什特、设拉子和比尔詹德）的干旱情况。为此，从 2002 年和 2014-2020 年的陆地卫星图像中提取了 NDVI、SAVI 和 SR。然后，将这些指数与 SPI、SPEI 和 PDSI 进行比较。结果表明，研究地区的干旱加剧，植被覆盖率下降。在植被覆盖率较高的拉什特，NDVI 和 SAVI 相等。在土壤影响更为显著的设拉子和比尔詹德，这两个指数之间的距离有所增加，这表明在设拉子和比尔詹德，SAVI 的表现优于 NDVI。结果还表明，根据 SPI、SPEI 和 PDSI 标准，随着降雨量的减少和气温升高导致的更多需水量，干旱严重程度可能会增加。干旱指数的比较表明，拉什特的 NDVI 加 SAVI 与 SPI、设拉子的 SR 与 SPEI 以及比尔詹德的 NDVI 与 SPEI 之间的相关性最高。根据 Mann-Kendall 检验的结果，SPI、SPEI 和 PDSI 证实了研究地区干旱加剧的趋势。因此，建议将遥感技术与干旱指数相结合，作为优化水资源管理、土地利用规划和降低干旱成本的合适工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Atmósfera

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