J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Vol. 3 No. 3: Desember 2018

Penerapan Algoritma Genetika Untuk Optimasi Pengelolaan Air Lahan Padi Sawah Rendah Emisi Gas Metana (CH4)

Yulvin Marhamah Putri (Unknown)
Chusnul Arif (Civil and Environmental Engineering)

Article Info

Publish Date
31 Dec 2018

Abstract

Conventional paddy field with continuous flooding irrigation produces a lot of greenhouse gases (GHG) emissions, especially methane gas (CH4). Effective water management is important to reduce methane gas emissions from paddy fields. This study aimed to determine optimum water level and soil moisture in each plant growth stage by genetic algorithms (GA) with system of rice intensification (SRI) practices. Research was conducted with three irrigation regimes i.e, continuous flooding regime (FR), moderate regime (MR), and dry regime (DR). Observation data were used to simulate the optimum water level and soil moisture. Based on the optimum water level scenario of the GA model, methane gas emissions could reduce 63.54% and optimum soil moisture can reduce methane gas emission up to 58.12%.Keywords: genetic algorithms, greenhouse gases, soil moisture, SRI, water level

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Journal Info
J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Website

Abbrev

jsil

Publisher

Institut Pertanian Bogor

Subject

Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Transportation

Description

J-Sil (Jurnal Teknik Sipil dan Lingkungan or Journal of Civil and Environmental Engineering) was established in 2016 and managed by the Department of Civil and Environmental Engineering, IPB University (Bogor Agricultural University). The journal aims at disseminating original and quality academic ...