The development of inflow discharge for the karian multipurpose reservoir in the pursuit of reservoir management optimization

Author:

Mulyawati Ira,Siti Salami Indah Rachmatiah,Marselina Mariana,Sabar Arwin

Abstract

Climate change and land cover modifications result in alterations in hydrological regimes. The demand for water and electrical energy continually rises along with population growth. Consequently, optimizing the Karian Multipurpose Reservoir (Hydroelectric Exploitation) operation requires considering hydrological regime changes. The Karian multipurpose reservoir is designed to meet water needs in Banten Province. The strategic policy for the Reservoir is to provide raw water at a rate of 14.6 m3/s. Of this, 9.1 m3/s is diverted to Tangerang Regency, and 5.5 m3/s is directed to Serang City through Ciujung River. Before being released into the Ciujung River, a flow of 5.5 m3/s is channeled through turbines to generate 1.8 MW of electricity. This study compares two models for estimating discharge to support Karian Reservoir management: (1) The Rainfall Conversion Ratio (CR) and Catchment Area, and (2) The Continuous model. The Rainfall CR and Catchment Area has a correlation value of 0.523 with CR KOICA, Absolute Relative Error (ARE) of 0.54, and Root Mean Square Error (RMSE) of 10.61. Meanwhile, the continuous model has a correlation value of 0.877 with CR KOICA, ARE of 0.18, and RMSE of 3.64. The results indicate the continuous model is the most effective in estimating input discharge.

Publisher

EDP Sciences

Reference24 articles.

1. Banten Province Environment and Forestry Service. Banten Province Environment and Forestry Service Nirwasita Tantra. P.20. (2020)

2. Sabar A.. Directorate of Water and Irrigation. Global Trends in Sustainable Water Resources Infrastructure Development in the Context of Expert Discussion on the Formulation of Indonesia’s Eco-Efficient Water Infrastructure Policy. (2002).

3. Marselina M., Sabar A., Rachmatiah Siti Salami I.., Marganingrum D.. Theoretical journal. Water Discharge Forecast Model in the Context of Optimizing the Management of the Saguling-Kaskade Citarum Reservoir, 24(1). (2017).

4. Korean International Cooperation Agency (KOICA). Design report Korea Rural Community & Agriculture Corporation rgmain association with Korea Water Resources Corporation. Republic of Korea Korea International Cooperation Agency. Feasibility Study and Detailed Design of the Karian Dam Project. (2016)

5. Bapennas Banten Province Regional. Bapennas Banten Province Regional Development Analysis Series. (2015)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3