ANALISIS KEKERINGAN MENGGUNAKAN METODE PALMER DROUGHT SEVERITY INDEX (PDSI) SERTA DAMPAKNYA TERHADAP SISTEM IRIGASI SUBAK PADA DAERAH ALIRAN SUNGAI (DAS) PALUNG LOMBOK

Syakirin
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Abstract

Drought is a natural event that is very influential on the availability of water reserves in the soil, both needed for agricultural purposes and human needs. The Irrigation Areas (DI) conducted by the study are Pandanduri-Swangi, Rutus, Terara and Temusik which are located in the Palung River Basin. This Drought Analysis includes Analysis of Rainfall, Regional Rainfall, Evaporation, calculation of the drought of the Palmer Severity Index (PDSI) method. Then do a comparative study of the Planting Pattern, water management and water turn schedule. In this study, the calculation of drought was carried out at 17 Rainfall Stations (ARR) with input data coming from 6 Climate Stations (CR) conducted by Thiessen Polygon analysis. The results of the drought index for each Rainfall Station (ARR) are then analyzed using the ArcGIS Software isohyet method with the Inverse Distance Weighted (IDW) interepolation to obtain the drought value of the area in each Irrigation Area (DI) analyzed. In this study it was found that: i) Pandanduri-Swangi Irrigation Area which has an area of ​​4,593 hectares of irrigation has a fairly long level of drought between July and October. ii) The relationship between the drought index to the existing Planting Area where the correlation obtained is for the Pandanduri-Swangi, Rutus, Temusik and Terara Irrigation Areas (48%, 61%, 72%, and 73%). iii) Drought index for Debits The availability of existing water correlations is: i) For Pandanduri-Swangi, Rutus, Temusik and Terara Irrigation Areas are 40%, 48%, 71%, and 30%.
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干旱分析使用帕尔默方法带来的干旱索引(PDSI)及其对龙目岛流域流域灌溉系统的影响
干旱是一种自然事件,对农业和人类需要的土壤中水分储备的可用性有很大影响。该研究进行的灌溉区(DI)是位于帕隆河流域的Pandanduri-Swangi, Rutus, Terara和Temusik。干旱分析包括降雨分析、区域降雨、蒸发、帕尔默严重指数(PDSI)法的干旱计算。在此基础上,对种植模式、水分管理和轮作时间进行了比较研究。本研究利用6个气候站(CR)的输入数据,通过Thiessen Polygon分析,在17个雨量站(ARR)进行干旱计算。利用ArcGIS软件等雨量法对各雨量站(ARR)的干旱指数结果进行分析,并进行距离加权逆插值(IDW),得到各灌区(DI)所分析区域的干旱值。本研究发现:i)灌溉面积为4,593公顷的Pandanduri-Swangi灌区在7月至10月之间的干旱程度相当长。ii) Pandanduri-Swangi、Rutus、Temusik和Terara灌区的干旱指数与现有种植面积的相关性分别为48%、61%、72%和73%。现有水资源相关性的可用性为:i) Pandanduri-Swangi、Rutus、Temusik和Terara灌区分别为40%、48%、71%和30%。
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