Statistical Evaluation of the Influences of Precipitation and River Level Fluctuations on Groundwater in Yoshino River Basin, Japan
Precise evaluation of the correlations among precipitation, groundwater and river water enhance our understanding on regional hydrological circulation and water resource management. The innovative and efficient use of wavelet analysis has been able to identify significant interactions in the spatial...
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| Veröffentlicht in: | Water (Basel) 2022-02, Vol.14 (4), p.625 |
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| creator | Dong, Linyao Guo, Yiwei Tang, Wenjian Xu, Wentao Fan, Zhongjie |
| description | Precise evaluation of the correlations among precipitation, groundwater and river water enhance our understanding on regional hydrological circulation and water resource management. The innovative and efficient use of wavelet analysis has been able to identify significant interactions in the spatial and temporal domains and to estimate the recharge travel time. In this paper, a wavelet analysis was utilized to analyse 43 years of monthly, and 2 years of daily, precipitation, river level and groundwater level data in the Yoshino River Basin, Japan. There were two main results: (1) There was a significant influence of precipitation and river on groundwater, with a periodicity of 4–128 days, 1 year and 2–7 years. The periodicity of 1 year was correlated with seasonal variability. The significant interaction at 4–128 days mainly occurred in the rainy season. The 2–7-year oscillation of aquifer water levels was determined by precipitation. (2) The recharge-water travel times in the study area estimated from the arrow patterns in the precipitation–groundwater wavelet coherence (WTC) were consistent for each observation well. The response times of the aquifer to precipitation were 1 day and 3–6 days in 2013 and 2014, respectively. The different time lags were likely determined by the timing of maximum daily precipitation. |
| doi_str_mv | 10.3390/w14040625 |
| format | Article |
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The innovative and efficient use of wavelet analysis has been able to identify significant interactions in the spatial and temporal domains and to estimate the recharge travel time. In this paper, a wavelet analysis was utilized to analyse 43 years of monthly, and 2 years of daily, precipitation, river level and groundwater level data in the Yoshino River Basin, Japan. There were two main results: (1) There was a significant influence of precipitation and river on groundwater, with a periodicity of 4–128 days, 1 year and 2–7 years. The periodicity of 1 year was correlated with seasonal variability. The significant interaction at 4–128 days mainly occurred in the rainy season. The 2–7-year oscillation of aquifer water levels was determined by precipitation. (2) The recharge-water travel times in the study area estimated from the arrow patterns in the precipitation–groundwater wavelet coherence (WTC) were consistent for each observation well. The response times of the aquifer to precipitation were 1 day and 3–6 days in 2013 and 2014, respectively. The different time lags were likely determined by the timing of maximum daily precipitation.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w14040625</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Aquifers ; Climate change ; Dams ; Decomposition ; Groundwater ; Groundwater basins ; Groundwater data ; Groundwater levels ; Hydrology ; Influence ; Management ; Periodicity ; Precipitation ; Rainfall ; Rainy season ; Recharge ; Resource management ; River basins ; Rivers ; Seasonal variations ; Time series ; Travel time ; Water ; Water circulation ; Water levels ; Water management ; Water resources ; Water resources management ; Water, Underground ; Watersheds ; Wavelet analysis</subject><ispartof>Water (Basel), 2022-02, Vol.14 (4), p.625</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-c6ae0c4862a1a21bab1b31070782f4f15570f41ca6cfd3e218df87c23a48edaf3</citedby><cites>FETCH-LOGICAL-c331t-c6ae0c4862a1a21bab1b31070782f4f15570f41ca6cfd3e218df87c23a48edaf3</cites><orcidid>0000-0002-6480-3430</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,27931,27932</link.rule.ids></links><search><creatorcontrib>Dong, Linyao</creatorcontrib><creatorcontrib>Guo, Yiwei</creatorcontrib><creatorcontrib>Tang, Wenjian</creatorcontrib><creatorcontrib>Xu, Wentao</creatorcontrib><creatorcontrib>Fan, Zhongjie</creatorcontrib><title>Statistical Evaluation of the Influences of Precipitation and River Level Fluctuations on Groundwater in Yoshino River Basin, Japan</title><title>Water (Basel)</title><description>Precise evaluation of the correlations among precipitation, groundwater and river water enhance our understanding on regional hydrological circulation and water resource management. The innovative and efficient use of wavelet analysis has been able to identify significant interactions in the spatial and temporal domains and to estimate the recharge travel time. In this paper, a wavelet analysis was utilized to analyse 43 years of monthly, and 2 years of daily, precipitation, river level and groundwater level data in the Yoshino River Basin, Japan. There were two main results: (1) There was a significant influence of precipitation and river on groundwater, with a periodicity of 4–128 days, 1 year and 2–7 years. The periodicity of 1 year was correlated with seasonal variability. The significant interaction at 4–128 days mainly occurred in the rainy season. The 2–7-year oscillation of aquifer water levels was determined by precipitation. (2) The recharge-water travel times in the study area estimated from the arrow patterns in the precipitation–groundwater wavelet coherence (WTC) were consistent for each observation well. The response times of the aquifer to precipitation were 1 day and 3–6 days in 2013 and 2014, respectively. The different time lags were likely determined by the timing of maximum daily precipitation.</description><subject>Analysis</subject><subject>Aquifers</subject><subject>Climate change</subject><subject>Dams</subject><subject>Decomposition</subject><subject>Groundwater</subject><subject>Groundwater basins</subject><subject>Groundwater data</subject><subject>Groundwater levels</subject><subject>Hydrology</subject><subject>Influence</subject><subject>Management</subject><subject>Periodicity</subject><subject>Precipitation</subject><subject>Rainfall</subject><subject>Rainy season</subject><subject>Recharge</subject><subject>Resource management</subject><subject>River basins</subject><subject>Rivers</subject><subject>Seasonal variations</subject><subject>Time series</subject><subject>Travel time</subject><subject>Water</subject><subject>Water circulation</subject><subject>Water levels</subject><subject>Water management</subject><subject>Water resources</subject><subject>Water resources management</subject><subject>Water, Underground</subject><subject>Watersheds</subject><subject>Wavelet analysis</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkU1LAzEQhhdRsGgP_oOAJ8HWfO3XsZa2VgqKHwdPyzSb2JRtUpNsi2f_uClbxJnDzLw878xhkuSK4CFjJb7bE445zmh6kvQoztmAc05O__XnSd_7NY7By6JIcS_5eQ0QtA9aQIMmO2jaOFqDrEJhJdHcqKaVRkh_UJ6dFHqrQ4eAqdGL3kmHFnInGzRtWhE6e6QNmjnbmnoPIRLaoA_rV9rYo-UevDa36BG2YC6TMwWNl_1jvUjep5O38cNg8TSbj0eLgWCMhIHIQGLBi4wCAUqWsCRLRnCO84Iqrkia5lhxIiATqmaSkqJWRS4oA17IGhS7SK67vVtnv1rpQ7W2rTPxZEUzxijmGS0jNeyoT2hkpY2ywYGIWcuNFtZIpaM-yktGszLy0XDTGYSz3jupqq3TG3DfFcHV4S_V31_YLy12gIU</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Dong, Linyao</creator><creator>Guo, Yiwei</creator><creator>Tang, Wenjian</creator><creator>Xu, Wentao</creator><creator>Fan, Zhongjie</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-6480-3430</orcidid></search><sort><creationdate>20220201</creationdate><title>Statistical Evaluation of the Influences of Precipitation and River Level Fluctuations on Groundwater in Yoshino River Basin, Japan</title><author>Dong, Linyao ; Guo, Yiwei ; Tang, Wenjian ; Xu, Wentao ; Fan, Zhongjie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-c6ae0c4862a1a21bab1b31070782f4f15570f41ca6cfd3e218df87c23a48edaf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Aquifers</topic><topic>Climate change</topic><topic>Dams</topic><topic>Decomposition</topic><topic>Groundwater</topic><topic>Groundwater basins</topic><topic>Groundwater data</topic><topic>Groundwater levels</topic><topic>Hydrology</topic><topic>Influence</topic><topic>Management</topic><topic>Periodicity</topic><topic>Precipitation</topic><topic>Rainfall</topic><topic>Rainy season</topic><topic>Recharge</topic><topic>Resource management</topic><topic>River basins</topic><topic>Rivers</topic><topic>Seasonal variations</topic><topic>Time series</topic><topic>Travel time</topic><topic>Water</topic><topic>Water circulation</topic><topic>Water levels</topic><topic>Water management</topic><topic>Water resources</topic><topic>Water resources management</topic><topic>Water, Underground</topic><topic>Watersheds</topic><topic>Wavelet analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Linyao</creatorcontrib><creatorcontrib>Guo, Yiwei</creatorcontrib><creatorcontrib>Tang, Wenjian</creatorcontrib><creatorcontrib>Xu, Wentao</creatorcontrib><creatorcontrib>Fan, Zhongjie</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Linyao</au><au>Guo, Yiwei</au><au>Tang, Wenjian</au><au>Xu, Wentao</au><au>Fan, Zhongjie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical Evaluation of the Influences of Precipitation and River Level Fluctuations on Groundwater in Yoshino River Basin, Japan</atitle><jtitle>Water (Basel)</jtitle><date>2022-02-01</date><risdate>2022</risdate><volume>14</volume><issue>4</issue><spage>625</spage><pages>625-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>Precise evaluation of the correlations among precipitation, groundwater and river water enhance our understanding on regional hydrological circulation and water resource management. The innovative and efficient use of wavelet analysis has been able to identify significant interactions in the spatial and temporal domains and to estimate the recharge travel time. In this paper, a wavelet analysis was utilized to analyse 43 years of monthly, and 2 years of daily, precipitation, river level and groundwater level data in the Yoshino River Basin, Japan. There were two main results: (1) There was a significant influence of precipitation and river on groundwater, with a periodicity of 4–128 days, 1 year and 2–7 years. The periodicity of 1 year was correlated with seasonal variability. The significant interaction at 4–128 days mainly occurred in the rainy season. The 2–7-year oscillation of aquifer water levels was determined by precipitation. (2) The recharge-water travel times in the study area estimated from the arrow patterns in the precipitation–groundwater wavelet coherence (WTC) were consistent for each observation well. 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| subjects | Analysis Aquifers Climate change Dams Decomposition Groundwater Groundwater basins Groundwater data Groundwater levels Hydrology Influence Management Periodicity Precipitation Rainfall Rainy season Recharge Resource management River basins Rivers Seasonal variations Time series Travel time Water Water circulation Water levels Water management Water resources Water resources management Water, Underground Watersheds Wavelet analysis |
| title | Statistical Evaluation of the Influences of Precipitation and River Level Fluctuations on Groundwater in Yoshino River Basin, Japan |
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