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The Relationship between Hydro-Agricultural Drought in the Corong River Basin: A Causal Time Series Regression Model Nur Azizah Affandy; Data Iranata; Nadjadji Anwar; Mahendra Andiek Maulana; Wasis Wardoyo; Dedy Dwi Prastyo; Bangun Muljo Sukojo
Civil Engineering Dimension Vol. 26 No. 2 (2024): SEPTEMBER 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.26.2.173-190

Abstract

This research explores the relationship between hydrological drought and agricultural drought in the Corong River Basin, focusing on the Gondang Reservoir Irrigation Area, Indonesia. By employing a Causal Time Series Regression Model, the study uncovers that agricultural drought twelve months prior has a significant impact on current agricultural drought and is influenced by current hydrological drought. Time series regression analysis reveals that 45.86% of agricultural drought is influenced by hydrological drought, with 54.14% influenced by other factors besides rainfall. Further research is needed to investigate these additional factors. These findings have practical implications, serving as a valuable index for assessing drought severity and planning mitigation actions, especially in the irrigation areas of interest. They emphasize the importance of effective irrigation management, appropriate cropping patterns, and a comprehensive understanding of the complex characteristics of drought in agricultural regions through comprehensive monitoring efforts in agricultural drought mitigation.
Pemantauan Dampak Kekeringan Lahan Pertanian di Lamongan Menggunakan NDVI Berbasis SIG Bara Ramadani Wijaya; Nur Azizah Affandy; Salwa Nabilah
Nucleus Journal Vol. 3 No. 2 (2024): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v3i2.3201

Abstract

Drought trends are occurring throughout Indonesia, including in Lamongan Regency. The problems caused by drought significantly affect the agricultural sector in Lamongan, with varying impacts each year. This study uses the Normalized Difference Vegetation Index (NDVI) method integrated with Geographic Information Systems (GIS) to monitor and analyze vegetation conditions as an indicator of drought. Based on the Landsat 8 imagery analysis from August to October 2019-2021, the results show significant changes in vegetation conditions related to drought. The year 2020 showed a decrease in areas with high greenness, while 2021 showed a significant recovery. This vegetation monitoring is expected to serve as a basis for more effective drought mitigation policies for the agricultural sector in Lamongan Regency.