Optimization of rain gauge network using geostatistics and artificial bee colony optimization approaches in the Pahang river basin: A preliminary study

In hydrological applications and water resource management, accurate rainfall information is crucial. The rainfall data from the optimal design of rain gauge stations improves the accuracy of rainfall estimation at the point and/or regional level. The measure of network accuracy depends on the numbe...

Full description

Saved in:
Bibliographic Details
Main Authors: Salleh, Nor Sofiza Abu, Aziz, Mohd Khairul Bazli Mohd, Adzhar, Noraziah
Format: Conference Proceeding
Language:English
Subjects:
Bees
Geostatistics
Optimization
Rain
Rain gauges
Rainfall
River basins
Search algorithms
Swarm intelligence
Water resources management
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In hydrological applications and water resource management, accurate rainfall information is crucial. The rainfall data from the optimal design of rain gauge stations improves the accuracy of rainfall estimation at the point and/or regional level. The measure of network accuracy depends on the number and spatial location of rain gauge stations. Hence, the purpose of this paper is to propose the methods in subject to determine the optimal number and location of rain gauge stations in Pahang states. The combination of the geostatistics method (variance-reduction method) and artificial bee colony as the algorithm of optimization will be used. The coupled algorithm will be applied to a case study with 136 existing rain gauge stations in Pahang. The anticipated outcome shows that the ideal location of rain gauge offers the lowest possible estimate variance. In order to provide accurate rainfall estimates over the watershed, the obtained optimal rain gauge network will be considered to be adequate.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0195700