Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin
The Jinan spring basin is located in the karst area of northern China, where springs serve as important sources of water supply. Several studies on spring protection and water supply have been carried out, and scholars have developed some laws on local groundwater flow dynamic and characteristics of...
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MDPI AG
2021-11-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/21/3048 |
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| author | Yuan Chen Longcang Shu Hu Li Portia Annabelle Opoku Gang Li Zexuan Xu Tiansong Qi |
| author_facet | Yuan Chen Longcang Shu Hu Li Portia Annabelle Opoku Gang Li Zexuan Xu Tiansong Qi |
| author_sort | Yuan Chen |
| collection | DOAJ |
| description | The Jinan spring basin is located in the karst area of northern China, where springs serve as important sources of water supply. Several studies on spring protection and water supply have been carried out, and scholars have developed some laws on local groundwater flow dynamic and characteristics of aquifer structures. Unfortunately, there is a lack of detailed research on preferential recharge zones, which are the main recharge pathways of springs. Therefore, this research focuses on identifying preferential recharge zones based on the correlation between the spring level and precipitation. The results show that when precipitation is more intense or lasts longer, there is a stronger correlation between spring level and precipitation. It has been established that the precipitation at Donghongmiao station has the closest relationship with the dynamic of Baotu spring, which is found to be the most significant contribution to spring preservation. Two potential preferential recharge zones in the Jinan spring basin are detected through correlation analysis and geological exploration data. These findings support spring protection and water supply projects in karst regions. |
| first_indexed | 2024-03-10T05:49:22Z |
| format | Article |
| id | doaj.art-bcd7b375a4e44c1e875bb8c2e47b4230 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T05:49:22Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
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| series | Water |
| spelling | doaj.art-bcd7b375a4e44c1e875bb8c2e47b42302023-11-22T21:54:29ZengMDPI AGWater2073-44412021-11-011321304810.3390/w13213048Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring BasinYuan Chen0Longcang Shu1Hu Li2Portia Annabelle Opoku3Gang Li4Zexuan Xu5Tiansong Qi6College of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaJinan Rail Transit Group Co., Ltd., Jinan 250101, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaJinan Rail Transit Group Co., Ltd., Jinan 250101, ChinaClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USACollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaThe Jinan spring basin is located in the karst area of northern China, where springs serve as important sources of water supply. Several studies on spring protection and water supply have been carried out, and scholars have developed some laws on local groundwater flow dynamic and characteristics of aquifer structures. Unfortunately, there is a lack of detailed research on preferential recharge zones, which are the main recharge pathways of springs. Therefore, this research focuses on identifying preferential recharge zones based on the correlation between the spring level and precipitation. The results show that when precipitation is more intense or lasts longer, there is a stronger correlation between spring level and precipitation. It has been established that the precipitation at Donghongmiao station has the closest relationship with the dynamic of Baotu spring, which is found to be the most significant contribution to spring preservation. Two potential preferential recharge zones in the Jinan spring basin are detected through correlation analysis and geological exploration data. These findings support spring protection and water supply projects in karst regions.https://www.mdpi.com/2073-4441/13/21/3048Jinan spring basinspring levelrainfallcorrelationpreferential recharge zone |
| spellingShingle | Yuan Chen Longcang Shu Hu Li Portia Annabelle Opoku Gang Li Zexuan Xu Tiansong Qi Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin Water Jinan spring basin spring level rainfall correlation preferential recharge zone |
| title | Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin |
| title_full | Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin |
| title_fullStr | Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin |
| title_full_unstemmed | Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin |
| title_short | Identification of Preferential Recharge Zones in Karst Systems Based on the Correlation between the Spring Level and Precipitation: A Case Study from Jinan Spring Basin |
| title_sort | identification of preferential recharge zones in karst systems based on the correlation between the spring level and precipitation a case study from jinan spring basin |
| topic | Jinan spring basin spring level rainfall correlation preferential recharge zone |
| url | https://www.mdpi.com/2073-4441/13/21/3048 |
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