High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes
High recharge areas significantly influence the groundwater quality and quantity in regional groundwater systems. Many studies have applied recharge potential analysis (RPA) to estimate groundwater recharge potential (GRP) and have delineated high recharge areas based on the estimated GRP. However,...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2015-03-01
|
| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/17/4/1558 |
| _version_ | 1811185013166702592 |
|---|---|
| author | Jui-Pin Tsai Yu-Wen Chen Liang-Cheng Chang Yi-Ming Kuo Yu-Hsuan Tu Chen-Che Pan |
| author_facet | Jui-Pin Tsai Yu-Wen Chen Liang-Cheng Chang Yi-Ming Kuo Yu-Hsuan Tu Chen-Che Pan |
| author_sort | Jui-Pin Tsai |
| collection | DOAJ |
| description | High recharge areas significantly influence the groundwater quality and quantity in regional groundwater systems. Many studies have applied recharge potential analysis (RPA) to estimate groundwater recharge potential (GRP) and have delineated high recharge areas based on the estimated GRP. However, most of these studies define the RPA parameters with supposition, and this represents a major source of uncertainty for applying RPA. To objectively define the RPA parameter values without supposition, this study proposes a systematic method based on the theory of parameter identification. A surrogate variable, namely the average storage variation (ASV) index, is developed to calibrate the RPA parameters, because of the lack of direct GRP observations. The study results show that the correlations between the ASV indexes and computed GRP values improved from 0.67 before calibration to 0.85 after calibration, thus indicating that the calibrated RPA parameters represent the recharge characteristics of the study area well; these data also highlight how defining the RPA parameters with ASV indexes can help to improve the accuracy. The calibrated RPA parameters were used to estimate the GRP distribution of the study area, and the GRP values were graded into five levels. High and excellent level areas are defined as high recharge areas, which composed 7.92% of the study area. Overall, this study demonstrates that the developed approach can objectively define the RPA parameters and high recharge areas of the Choushui River alluvial fan, and the results should serve as valuable references for the Taiwanese government in their efforts to conserve the groundwater quality and quantity of the study area. |
| first_indexed | 2024-04-11T13:23:14Z |
| format | Article |
| id | doaj.art-2c16c9ca5d01495082103fe540ad70bc |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T13:23:14Z |
| publishDate | 2015-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-2c16c9ca5d01495082103fe540ad70bc2022-12-22T04:22:09ZengMDPI AGEntropy1099-43002015-03-011741558158010.3390/e17041558e17041558High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation IndexesJui-Pin Tsai0Yu-Wen Chen1Liang-Cheng Chang2Yi-Ming Kuo3Yu-Hsuan Tu4Chen-Che Pan5Department of Civil Engineering, National Chiao-Tung University, No. 1001, University Road, Hsinchu City 30010, TaiwanDepartment of Civil Engineering, National Chiao-Tung University, No. 1001, University Road, Hsinchu City 30010, TaiwanDepartment of Civil Engineering, National Chiao-Tung University, No. 1001, University Road, Hsinchu City 30010, TaiwanSchool of Environmental Studies, China University of Geosciences, Wuhan 430074, ChinaDepartment of Civil Engineering, National Chiao-Tung University, No. 1001, University Road, Hsinchu City 30010, TaiwanDepartment of Civil Engineering, National Chiao-Tung University, No. 1001, University Road, Hsinchu City 30010, TaiwanHigh recharge areas significantly influence the groundwater quality and quantity in regional groundwater systems. Many studies have applied recharge potential analysis (RPA) to estimate groundwater recharge potential (GRP) and have delineated high recharge areas based on the estimated GRP. However, most of these studies define the RPA parameters with supposition, and this represents a major source of uncertainty for applying RPA. To objectively define the RPA parameter values without supposition, this study proposes a systematic method based on the theory of parameter identification. A surrogate variable, namely the average storage variation (ASV) index, is developed to calibrate the RPA parameters, because of the lack of direct GRP observations. The study results show that the correlations between the ASV indexes and computed GRP values improved from 0.67 before calibration to 0.85 after calibration, thus indicating that the calibrated RPA parameters represent the recharge characteristics of the study area well; these data also highlight how defining the RPA parameters with ASV indexes can help to improve the accuracy. The calibrated RPA parameters were used to estimate the GRP distribution of the study area, and the GRP values were graded into five levels. High and excellent level areas are defined as high recharge areas, which composed 7.92% of the study area. Overall, this study demonstrates that the developed approach can objectively define the RPA parameters and high recharge areas of the Choushui River alluvial fan, and the results should serve as valuable references for the Taiwanese government in their efforts to conserve the groundwater quality and quantity of the study area.http://www.mdpi.com/1099-4300/17/4/1558high recharge areasgroundwater recharge potentialaverage storage variationsimulated annealinggeographical information system |
| spellingShingle | Jui-Pin Tsai Yu-Wen Chen Liang-Cheng Chang Yi-Ming Kuo Yu-Hsuan Tu Chen-Che Pan High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes Entropy high recharge areas groundwater recharge potential average storage variation simulated annealing geographical information system |
| title | High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes |
| title_full | High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes |
| title_fullStr | High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes |
| title_full_unstemmed | High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes |
| title_short | High Recharge Areas in the Choushui River Alluvial Fan (Taiwan) Assessed from Recharge Potential Analysis and Average Storage Variation Indexes |
| title_sort | high recharge areas in the choushui river alluvial fan taiwan assessed from recharge potential analysis and average storage variation indexes |
| topic | high recharge areas groundwater recharge potential average storage variation simulated annealing geographical information system |
| url | http://www.mdpi.com/1099-4300/17/4/1558 |
| work_keys_str_mv | AT juipintsai highrechargeareasinthechoushuiriveralluvialfantaiwanassessedfromrechargepotentialanalysisandaveragestoragevariationindexes AT yuwenchen highrechargeareasinthechoushuiriveralluvialfantaiwanassessedfromrechargepotentialanalysisandaveragestoragevariationindexes AT liangchengchang highrechargeareasinthechoushuiriveralluvialfantaiwanassessedfromrechargepotentialanalysisandaveragestoragevariationindexes AT yimingkuo highrechargeareasinthechoushuiriveralluvialfantaiwanassessedfromrechargepotentialanalysisandaveragestoragevariationindexes AT yuhsuantu highrechargeareasinthechoushuiriveralluvialfantaiwanassessedfromrechargepotentialanalysisandaveragestoragevariationindexes AT chenchepan highrechargeareasinthechoushuiriveralluvialfantaiwanassessedfromrechargepotentialanalysisandaveragestoragevariationindexes |