Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method
Climate change and anthropogenic activities are necessitating accurate diagnoses of seawater intrusion (SWI) to ensure the sustainable utilization of groundwater resources in coastal areas. Here, vulnerability to SWI was assessed by classifying the existing GALDIT into static parameters (groundwater...
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MDPI AG
2021-06-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/13/1820 |
| _version_ | 1797528151413227520 |
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| author | Il Hwan Kim Il-Moon Chung Sun Woo Chang |
| author_facet | Il Hwan Kim Il-Moon Chung Sun Woo Chang |
| author_sort | Il Hwan Kim |
| collection | DOAJ |
| description | Climate change and anthropogenic activities are necessitating accurate diagnoses of seawater intrusion (SWI) to ensure the sustainable utilization of groundwater resources in coastal areas. Here, vulnerability to SWI was assessed by classifying the existing GALDIT into static parameters (groundwater occurrence (G), aquifer hydraulic conductivity (A), and distance from shore (D)) and dynamic parameters (height to groundwater-level above sea-level (L), impact of existing status of seawater intrusion (I), and aquifer thickness (T)). When assessing the vulnerability of SWI based on observational data (2010–2019), 10-year-averaged data of each month is used for GALDIT dynamic parameter for representing the seasonal characteristics of local water cycles. In addition, the parameter L is indicated by the data observed at the sea-level station adjacent to the groundwater level station. The existing GALDIT method has a range of scores that can be divided into quartiles to express the observed values. To sensitively reflect monthly changes in values, the range of scores is divided into deciles. The calculated GALDIT index showed that the most vulnerable month is September, due to relatively low groundwater level. The proposed method can be used to apply countermeasures to vulnerable coastal areas and build water resources management plan considering vulnerable seasons. |
| first_indexed | 2024-03-10T09:54:05Z |
| format | Article |
| id | doaj.art-b8126c20ce4f4884b81599b60bda2115 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T09:54:05Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-b8126c20ce4f4884b81599b60bda21152023-11-22T02:28:53ZengMDPI AGWater2073-44412021-06-011313182010.3390/w13131820Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT MethodIl Hwan Kim0Il-Moon Chung1Sun Woo Chang2Department of Land, Water and Environmental Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, KoreaDepartment of Land, Water and Environmental Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, KoreaDepartment of Land, Water and Environmental Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, KoreaClimate change and anthropogenic activities are necessitating accurate diagnoses of seawater intrusion (SWI) to ensure the sustainable utilization of groundwater resources in coastal areas. Here, vulnerability to SWI was assessed by classifying the existing GALDIT into static parameters (groundwater occurrence (G), aquifer hydraulic conductivity (A), and distance from shore (D)) and dynamic parameters (height to groundwater-level above sea-level (L), impact of existing status of seawater intrusion (I), and aquifer thickness (T)). When assessing the vulnerability of SWI based on observational data (2010–2019), 10-year-averaged data of each month is used for GALDIT dynamic parameter for representing the seasonal characteristics of local water cycles. In addition, the parameter L is indicated by the data observed at the sea-level station adjacent to the groundwater level station. The existing GALDIT method has a range of scores that can be divided into quartiles to express the observed values. To sensitively reflect monthly changes in values, the range of scores is divided into deciles. The calculated GALDIT index showed that the most vulnerable month is September, due to relatively low groundwater level. The proposed method can be used to apply countermeasures to vulnerable coastal areas and build water resources management plan considering vulnerable seasons.https://www.mdpi.com/2073-4441/13/13/1820GALDITmonthly vulnerabilityseawater intrusion (SWI)vulnerability assessmenteffective weightdensely populated area |
| spellingShingle | Il Hwan Kim Il-Moon Chung Sun Woo Chang Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method Water GALDIT monthly vulnerability seawater intrusion (SWI) vulnerability assessment effective weight densely populated area |
| title | Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method |
| title_full | Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method |
| title_fullStr | Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method |
| title_full_unstemmed | Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method |
| title_short | Development of Seawater Intrusion Vulnerability Assessment for Averaged Seasonality of Using Modified GALDIT Method |
| title_sort | development of seawater intrusion vulnerability assessment for averaged seasonality of using modified galdit method |
| topic | GALDIT monthly vulnerability seawater intrusion (SWI) vulnerability assessment effective weight densely populated area |
| url | https://www.mdpi.com/2073-4441/13/13/1820 |
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