Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation

The Jinan karst system is one of the typical karst systems in North China. The karst springs in Jinan are important historical heritage in China. However, in recent years, due to urbanization and the excessive exploitation of groundwater resources in Jinan City, the rate of spring flow has decreased...

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Autores principales: Shuyao Niu, Longcang Shu, Hu Li, Hua Xiang, Xin Wang, Portia Annabelle Opoku, Yuxi Li
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/0cccabbb4295442db446bc455e3104ef
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spelling oai:doaj.org-article:0cccabbb4295442db446bc455e3104ef2021-11-25T19:16:02ZIdentification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation10.3390/w132232552073-4441https://doaj.org/article/0cccabbb4295442db446bc455e3104ef2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3255https://doaj.org/toc/2073-4441The Jinan karst system is one of the typical karst systems in North China. The karst springs in Jinan are important historical heritage in China. However, in recent years, due to urbanization and the excessive exploitation of groundwater resources in Jinan City, the rate of spring flow has decreased tremendously. Preferential runoff belts are channels of karst aquifers where fractures and conduits are well-developed and serve as the main pathways for groundwater movement and solute transport. In view of this, a study was conducted in the Jinan Spring Basin to identify preferential runoff belts based on hydrological time-series correlation. Firstly, through cross wavelet transform and Pearson correlation coefficient, the time-lag and correlation of spring water level and precipitation were analyzed, the result show that the precipitation in the areas of Xinglong, Donghongmiao, Qiujiazhuang, Xiying, Yanzishan and Liubu stations has a greater impact on spring water level. In addition, combined with the hydrogeological conditions of the Jinan Spring Basin, the above stations meet the characteristics of the preferential runoff belt. In conclusion, the above stations are most likely to be located on the preferential runoff belt. The results of this study can serve as great reference points for building a correct hydrogeological conceptual model, and for the future planning of spring protection measures.Shuyao NiuLongcang ShuHu LiHua XiangXin WangPortia Annabelle OpokuYuxi LiMDPI AGarticleJinan Spring Basinpreferential runoff belthydrological time-series analysiswavelet analysistime-lagcorrelation coefficientHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3255, p 3255 (2021)
institution DOAJ
collection DOAJ
language EN
topic Jinan Spring Basin
preferential runoff belt
hydrological time-series analysis
wavelet analysis
time-lag
correlation coefficient
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
spellingShingle Jinan Spring Basin
preferential runoff belt
hydrological time-series analysis
wavelet analysis
time-lag
correlation coefficient
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Shuyao Niu
Longcang Shu
Hu Li
Hua Xiang
Xin Wang
Portia Annabelle Opoku
Yuxi Li
Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation
description The Jinan karst system is one of the typical karst systems in North China. The karst springs in Jinan are important historical heritage in China. However, in recent years, due to urbanization and the excessive exploitation of groundwater resources in Jinan City, the rate of spring flow has decreased tremendously. Preferential runoff belts are channels of karst aquifers where fractures and conduits are well-developed and serve as the main pathways for groundwater movement and solute transport. In view of this, a study was conducted in the Jinan Spring Basin to identify preferential runoff belts based on hydrological time-series correlation. Firstly, through cross wavelet transform and Pearson correlation coefficient, the time-lag and correlation of spring water level and precipitation were analyzed, the result show that the precipitation in the areas of Xinglong, Donghongmiao, Qiujiazhuang, Xiying, Yanzishan and Liubu stations has a greater impact on spring water level. In addition, combined with the hydrogeological conditions of the Jinan Spring Basin, the above stations meet the characteristics of the preferential runoff belt. In conclusion, the above stations are most likely to be located on the preferential runoff belt. The results of this study can serve as great reference points for building a correct hydrogeological conceptual model, and for the future planning of spring protection measures.
format article
author Shuyao Niu
Longcang Shu
Hu Li
Hua Xiang
Xin Wang
Portia Annabelle Opoku
Yuxi Li
author_facet Shuyao Niu
Longcang Shu
Hu Li
Hua Xiang
Xin Wang
Portia Annabelle Opoku
Yuxi Li
author_sort Shuyao Niu
title Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation
title_short Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation
title_full Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation
title_fullStr Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation
title_full_unstemmed Identification of Preferential Runoff Belts in Jinan Spring Basin Based on Hydrological Time-Series Correlation
title_sort identification of preferential runoff belts in jinan spring basin based on hydrological time-series correlation
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/0cccabbb4295442db446bc455e3104ef
work_keys_str_mv AT shuyaoniu identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
AT longcangshu identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
AT huli identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
AT huaxiang identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
AT xinwang identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
AT portiaannabelleopoku identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
AT yuxili identificationofpreferentialrunoffbeltsinjinanspringbasinbasedonhydrologicaltimeseriescorrelation
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