Optimization Model for Irrigation Based on Seasonal Transition

Olvi Pamadya, Pitojo Tri Juwono, Ussy Andawayanti, Runi Asmaranto

Abstract

Generally, irrigation optimization is carried out under existing conditions; however, this research aims to develop a pre- and post-season-transition irrigation optimization model. The methodology involves analyzing the seasonal transition conducted in previous research to identify the variables influencing model construction. This analysis is used to develop an optimization model before and after the seasonal transition. However, rainfall exhibits a dynamic nature and varies between different seasons. The importance of studying changes in climate patterns, such as fluctuations in precipitation levels and shifts in rainfall patterns, is crucial in understanding the impacts of climate change. The observation of rainfall characteristic changes in that season has a direct impact on the schedule of cropping patterns and water availability in irrigation areas, one of which is the irrigation area of Kedungsoko, Nganjuk, East Java Province, Indonesia. Climate change impacts the irrigation area, which spans approximately 788 hectares. This is indicated by the change in the optimization value. The analysis indicates that, based on data from 2001 to 2009 (pre-climate change), the benefits were approximately Rp 13,338,354,260, Rp 10,102,546,222, and Rp 5,159,418,693 for cropping seasons I, II, and III, respectively, resulting in a total benefit of about Rp 28,600,319,176. However, post-climate change (data after 2009), the benefits decreased to approximately Rp 12,893,821,171, Rp 10,213,765,338, and Rp 5,307,946,837 for the respective cropping seasons, with a total benefit of about Rp 28,415,533,345. The optimization results before and after climate change show a difference of approximately Rp 184,785,831, with smaller difference after climate change.

 

Keywords: irrigation optimization, seasonal transition, Kedungsoko.

 

https://doi.org/10.55463/issn.1674-2974.51.5.15


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References


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