{"title":"基于独立分量分解的华北地下水储量变化及驱动因素分析","authors":"Tengfei Feng , Yunzhong Shen , Qiujie Chen , Fengwei Wang , Xingfu Zhang","doi":"10.1016/j.jhydrol.2022.127708","DOIUrl":null,"url":null,"abstract":"<div><p>North China (NC) is faced groundwater shortage in the past decades. To understand the characteristics of Groundwater Storage (GWS) change in NC, GWS Anomaly (GWSA) is analyzed by using Independent Component Analysis (ICA) with the high-resolution time-variable gravity field model Tongji-RegGrace2019 and hydrological models. According to the spatiotemporal characteristics of Independent Components (ICs), the driving factors and corresponding driving mechanism of GWS changes are further investigated. Results show that the GWS in NC is decreased with a rate of −0.87 ± 0.04 cm/yr from January 2004 to December 2015 and the rate increased to −3.71 ± 0.49 cm/yr from January 2014 to December 2015. Among the first four ICs of GWSA, the first and second ICs (IC1 and IC2) cooperatively reflect long-term and intra-annual GWS changes caused by water consumption of coal mining and agricultural irrigation in northern and southern Shanxi province, with the correlation coefficients of −0.91 and −0.85, respectively. IC3 indicates the signal of semi-annual GWS change related to agricultural irrigation water consumption in southern Hebei province, with a correlation coefficient of −0.85. Besides, IC4 suggests the effect of monsoon precipitation and evaporation in front of Taihang Mountain. Hence, the driving factors, including uneven spatiotemporal distribution of precipitation, intense seasonal evaporation, severe loss by coal mining, coupled with exhaustive exploitation for irrigation, jointly restrict the GWS rise and fall at different time nodes.</p></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"609 ","pages":"Article 127708"},"PeriodicalIF":5.9000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Groundwater storage change and driving factor analysis in north china using independent component decomposition\",\"authors\":\"Tengfei Feng , Yunzhong Shen , Qiujie Chen , Fengwei Wang , Xingfu Zhang\",\"doi\":\"10.1016/j.jhydrol.2022.127708\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>North China (NC) is faced groundwater shortage in the past decades. To understand the characteristics of Groundwater Storage (GWS) change in NC, GWS Anomaly (GWSA) is analyzed by using Independent Component Analysis (ICA) with the high-resolution time-variable gravity field model Tongji-RegGrace2019 and hydrological models. According to the spatiotemporal characteristics of Independent Components (ICs), the driving factors and corresponding driving mechanism of GWS changes are further investigated. Results show that the GWS in NC is decreased with a rate of −0.87 ± 0.04 cm/yr from January 2004 to December 2015 and the rate increased to −3.71 ± 0.49 cm/yr from January 2014 to December 2015. Among the first four ICs of GWSA, the first and second ICs (IC1 and IC2) cooperatively reflect long-term and intra-annual GWS changes caused by water consumption of coal mining and agricultural irrigation in northern and southern Shanxi province, with the correlation coefficients of −0.91 and −0.85, respectively. IC3 indicates the signal of semi-annual GWS change related to agricultural irrigation water consumption in southern Hebei province, with a correlation coefficient of −0.85. Besides, IC4 suggests the effect of monsoon precipitation and evaporation in front of Taihang Mountain. Hence, the driving factors, including uneven spatiotemporal distribution of precipitation, intense seasonal evaporation, severe loss by coal mining, coupled with exhaustive exploitation for irrigation, jointly restrict the GWS rise and fall at different time nodes.</p></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"609 \",\"pages\":\"Article 127708\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169422002839\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169422002839","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Groundwater storage change and driving factor analysis in north china using independent component decomposition
North China (NC) is faced groundwater shortage in the past decades. To understand the characteristics of Groundwater Storage (GWS) change in NC, GWS Anomaly (GWSA) is analyzed by using Independent Component Analysis (ICA) with the high-resolution time-variable gravity field model Tongji-RegGrace2019 and hydrological models. According to the spatiotemporal characteristics of Independent Components (ICs), the driving factors and corresponding driving mechanism of GWS changes are further investigated. Results show that the GWS in NC is decreased with a rate of −0.87 ± 0.04 cm/yr from January 2004 to December 2015 and the rate increased to −3.71 ± 0.49 cm/yr from January 2014 to December 2015. Among the first four ICs of GWSA, the first and second ICs (IC1 and IC2) cooperatively reflect long-term and intra-annual GWS changes caused by water consumption of coal mining and agricultural irrigation in northern and southern Shanxi province, with the correlation coefficients of −0.91 and −0.85, respectively. IC3 indicates the signal of semi-annual GWS change related to agricultural irrigation water consumption in southern Hebei province, with a correlation coefficient of −0.85. Besides, IC4 suggests the effect of monsoon precipitation and evaporation in front of Taihang Mountain. Hence, the driving factors, including uneven spatiotemporal distribution of precipitation, intense seasonal evaporation, severe loss by coal mining, coupled with exhaustive exploitation for irrigation, jointly restrict the GWS rise and fall at different time nodes.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.