Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand

Importance of the work: Physical-based groundwater recharge modelling can help in studying the impacts of climate change on groundwater resources. Objectives: To conduct a comparative assessment for large-scale groundwater recharge estimation in the Upper Greater Mae Klong Irrigation Project. Materi...

Full description

Saved in:
Bibliographic Details
Main Author: Phankamolsil Y.
Other Authors: Mahidol University
Format: Article
Published: 2023
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/87461
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.87461
record_format dspace
spelling th-mahidol.874612023-06-22T17:23:50Z Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand Phankamolsil Y. Mahidol University Agricultural and Biological Sciences Importance of the work: Physical-based groundwater recharge modelling can help in studying the impacts of climate change on groundwater resources. Objectives: To conduct a comparative assessment for large-scale groundwater recharge estimation in the Upper Greater Mae Klong Irrigation Project. Materials & Methods: Two physical-based models (WetSpass and SWAP) were used to estimate groundwater recharge and the outcomes were compared with the results from empirical and water balance-based methods. Groundwater recharge modelling was investigated based on model type, data requirements, model complexity, model adaptability and model performance. Results: The average annual recharges estimated using the WetSpass and SWAP models were 183.59 mm/yr and 133.63 mm/yr, respectively, or 20.19% and 13.98% of the average annual rainfall, respectively. The WetSpass model provided more robust and consistent recharge estimates than the SWAP model, based on yearly and seasonal recharges. In addition, the WetSpass model estimated the groundwater recharge rates in similar ranges to the recharges estimated using the empirical methods and the water balance-based approach with coefficient of determination values in the range 0.60-0.64. The SWAP model produced inconsistent values of groundwater recharge for some specific periods due to the non-uniformity of the rainfall data used. Main finding: The distribution of simulated recharges based on the WetSpass model could be spatially displayed on a geographic information system-based platform to deliver fundamental input data for the groundwater system that could assist decision makers in the sustainable management of groundwater resources from both short-term and long-term perspectives. 2023-06-22T10:23:50Z 2023-06-22T10:23:50Z 2022-07-01 Article Agriculture and Natural Resources Vol.56 No.4 (2022) , 737-750 10.34044/J.ANRES.2022.56.4.08 2452316X 24681458 2-s2.0-85139260298 https://repository.li.mahidol.ac.th/handle/123456789/87461 SCOPUS
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Phankamolsil Y.
Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand
description Importance of the work: Physical-based groundwater recharge modelling can help in studying the impacts of climate change on groundwater resources. Objectives: To conduct a comparative assessment for large-scale groundwater recharge estimation in the Upper Greater Mae Klong Irrigation Project. Materials & Methods: Two physical-based models (WetSpass and SWAP) were used to estimate groundwater recharge and the outcomes were compared with the results from empirical and water balance-based methods. Groundwater recharge modelling was investigated based on model type, data requirements, model complexity, model adaptability and model performance. Results: The average annual recharges estimated using the WetSpass and SWAP models were 183.59 mm/yr and 133.63 mm/yr, respectively, or 20.19% and 13.98% of the average annual rainfall, respectively. The WetSpass model provided more robust and consistent recharge estimates than the SWAP model, based on yearly and seasonal recharges. In addition, the WetSpass model estimated the groundwater recharge rates in similar ranges to the recharges estimated using the empirical methods and the water balance-based approach with coefficient of determination values in the range 0.60-0.64. The SWAP model produced inconsistent values of groundwater recharge for some specific periods due to the non-uniformity of the rainfall data used. Main finding: The distribution of simulated recharges based on the WetSpass model could be spatially displayed on a geographic information system-based platform to deliver fundamental input data for the groundwater system that could assist decision makers in the sustainable management of groundwater resources from both short-term and long-term perspectives.
author2 Mahidol University
author_facet Mahidol University
Phankamolsil Y.
format Article
author Phankamolsil Y.
author_sort Phankamolsil Y.
title Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand
title_short Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand
title_full Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand
title_fullStr Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand
title_full_unstemmed Comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in Upper Greater Mae Klong Irrigation Project, Thailand
title_sort comparative assessment of groundwater recharge estimation using physicalbased models and empirical methods in upper greater mae klong irrigation project, thailand
publishDate 2023
url https://repository.li.mahidol.ac.th/handle/123456789/87461
_version_ 1781415381250867200