agriTECH
Vol 24, No 4 (2004)

Prediksi Debit Aliran Musiman Berdasarkan Pendekatan Hidrologi Stokastik

Darmadi Darmadi (Jurusan Teknologi Pangan dan Hasil Pertanian, Universitas Gadjah Mada, Yogyakarta)



Article Info

Publish Date
22 Feb 2017

Abstract

Objective of the research is to predict seasonal river flow discharge from the several years previous data. Stochastic statistical theory of Markov's lag-1 was used to analyze the data. Modification has been needed for changing the number of total seasonal river flow from 2 to 24 in one year serial observation. The total 24 rivers flow observations based on a half-month time interval observation per year. Those interval based on the assumption irrigation interval has been practicing at the tertiary level. River flow discharge data from 1993 to 2003 of Cikunten and Cimulu river in Tasikmalaya (West Java) were used during the research. The model prediction shows that there is similarity between real flow and synthetic flow of the river from time to time observation. Therefore, application of modified Markov's lag-1 is valid for stochastic hydrological analysis in term of maintaining

Copyrights © 2004






Journal Info

Abbrev

agritech

Publisher

Subject

Agriculture, Biological Sciences & Forestry

Description

Agritech with registered number ISSN 0216-0455 (print) and ISSN 2527-3825 (online) is a scientific journal that publishes the results of research in the field of food and agricultural product technology, agricultural and bio-system engineering, and agroindustrial technology. This journal is ...