A Simplified Rainfall-Streamflow Network Model on Multivariate Regression Analysis for Water Level Forecasting in Klong Luang (KGT.19 Station) Sub-watershed, Chon Buri Province, Thailand

Authors

Charoen Panant
Samakkee Boonyawat

Publication Date

2014-09-01

Abstract

A simplifiedrainfall-streamflownetwork model based on multivariate linear regression (MLR) analysishas been proposed. To determine significant coefficients of streamflow network, eleven MLR models were examined. The study's three objectives were 1) to develop a novel a mathematical model based on MLR analysis for forecasting optimal water levels;2) to determine the most significant coefficient of rainfall-streamflow network among in the area of interest in the vicinity of Klong Luang sub-watershedKGT.19 station; and3) to apply the optimal MLR model forwater level andflood forecasting mapsin Klong Luang Sub-watershed. We used Geographic Information System (GIS) and Remotely Sensed Data (RS) data recorded from Klong Luang (KGT.19 Station) sub-watershed, and Phanat Nikhom, Chonburi, Ban Bueng and Phan Thong districts, in Chonburi Province, Thailand.The findings indicated that the MLR based Model No. 8 is the most applicable and effective. The proposed model also could be applied in water level forecasting, water resource management, flood hazard planning, and flood early warning.

First Page

53

Last Page

65

Recommended Citation

Panant, Charoen and Boonyawat, Samakkee (2014) "A Simplified Rainfall-Streamflow Network Model on Multivariate Regression Analysis for Water Level Forecasting in Klong Luang (KGT.19 Station) Sub-watershed, Chon Buri Province, Thailand," Applied Environmental Research: Vol. 36: No. 4, Article 6.
Available at: https://digital.car.chula.ac.th/aer/vol36/iss4/6