Optimization design of irrigation water management to reduce field failure risk

1st Siliwangi International Conference on Innovation in Research 2018

Hidayat, A.K.^1 ; Norken, I.N.^1 ; Yekti, M.I.^1 ; Irawan, P.^1 ; Kosnayani, A.S.^2

Civil Engineering Department, Faculty of Engineering, Siliwangi University, Jl. Siliwangi No. 24, Tasikmalaya, West Java, Indonesia^1

Nutrition Department, Faculty of Health Science, Siliwangi University, Jl. Siliwangi No. 24, Tasikmalaya, West Java, Indonesia^2

关键词: Analysis approach;    Building structure;    Evaluation modeling;    Irrigation water management;    Irrigation water requirements;    Irrigation waters;    Optimization design;    Water availability;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/550/1/012021/pdf
DOI  :  10.1088/1757-899X/550/1/012021

来源: IOP

【 摘 要 】

The existing condition of the irrigation area after construction or the irrigation area in operation needs to be evaluated because in the planning of water availability and irrigation water needs many parameters-parameters which is the result of the analysis approach or indeed the data - the data that then changed. The changing conditions of the data will cause many impacts. The risk of field failure is one of impact if water availability is less than the initial estimate. This paper reports the analysis of the availability of water and irrigation water requirements is dynamic, in this study the availability of water is analyzed with 80% reliability. Irrigation water demand is based on regulation of planting schedule and reduction of field area with the intention of reducing the risk of greater field failure. The results obtained are alternative field area of optimum irrigation, regulation of planting schedule and operation of floodgates in the taking or building structure for the review. Field area and Regulation of planting schedule are analyzed by simulation. The mathematical model that will be produced is the optimum model of irrigation water management and mathematical model of field failure risk. This study can be an evaluation model especially for irrigated areas in dry field areas.