{"title":"印度陆地储水量的时空变异分析","authors":"H. Munagapati , V.M. Tiwari , D.K. Panda","doi":"10.1016/j.wasec.2021.100099","DOIUrl":null,"url":null,"abstract":"<div><p>Terrestrial water storage (TWS) accounts for the largest temporal variation in Earth’s gravity field on contemporary time scale. The time-variable gravity observations for from the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been extensively used to estimate TWS variations and supplement the sparse in-situ hydrological observations. We use multivariate statistical tools over gridded time series of monthly TWS for an assessment of dominant regional variability and to identify seasonal, inter-annual and linear trends of TWS over India. The analyses recognize seasonal variability of TWS corresponding to rainfall over India and detect two contrasting (positive and negative) regional trends, which are compared with hydro-climatic variables for attributing underlying potential causes. These analyses suggest the probable causes of TWS variations over the different regions of India, like role of reservoirs in central and southern India for increase of TWS and groundwater pumping in northern India for TWS decline.</p></div>","PeriodicalId":37308,"journal":{"name":"Water Security","volume":"14 ","pages":"Article 100099"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An analysis of spatio-temporal variability of terrestrial water storage in India\",\"authors\":\"H. Munagapati , V.M. Tiwari , D.K. Panda\",\"doi\":\"10.1016/j.wasec.2021.100099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Terrestrial water storage (TWS) accounts for the largest temporal variation in Earth’s gravity field on contemporary time scale. The time-variable gravity observations for from the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been extensively used to estimate TWS variations and supplement the sparse in-situ hydrological observations. We use multivariate statistical tools over gridded time series of monthly TWS for an assessment of dominant regional variability and to identify seasonal, inter-annual and linear trends of TWS over India. The analyses recognize seasonal variability of TWS corresponding to rainfall over India and detect two contrasting (positive and negative) regional trends, which are compared with hydro-climatic variables for attributing underlying potential causes. These analyses suggest the probable causes of TWS variations over the different regions of India, like role of reservoirs in central and southern India for increase of TWS and groundwater pumping in northern India for TWS decline.</p></div>\",\"PeriodicalId\":37308,\"journal\":{\"name\":\"Water Security\",\"volume\":\"14 \",\"pages\":\"Article 100099\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S246831242100016X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Security","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S246831242100016X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 2
摘要
在当代时间尺度上,地球重力场变化最大的原因是陆地蓄水。GRACE (gravity Recovery and Climate Experiment)卫星的时变重力观测已被广泛用于估计TWS变化,并补充稀疏的原位水文观测。我们使用多变量统计工具对月度TWS的网格时间序列进行评估,以确定印度TWS的季节性、年际和线性趋势。分析确认了与印度降雨相关的TWS的季节变化,并发现了两种截然不同的(正趋势和负趋势)区域趋势,并将其与水文气候变量进行了比较,以确定潜在的潜在原因。这些分析提出了印度不同地区TWS变化的可能原因,如印度中部和南部水库对TWS增加的作用以及印度北部地下水抽水对TWS下降的作用。
An analysis of spatio-temporal variability of terrestrial water storage in India
Terrestrial water storage (TWS) accounts for the largest temporal variation in Earth’s gravity field on contemporary time scale. The time-variable gravity observations for from the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been extensively used to estimate TWS variations and supplement the sparse in-situ hydrological observations. We use multivariate statistical tools over gridded time series of monthly TWS for an assessment of dominant regional variability and to identify seasonal, inter-annual and linear trends of TWS over India. The analyses recognize seasonal variability of TWS corresponding to rainfall over India and detect two contrasting (positive and negative) regional trends, which are compared with hydro-climatic variables for attributing underlying potential causes. These analyses suggest the probable causes of TWS variations over the different regions of India, like role of reservoirs in central and southern India for increase of TWS and groundwater pumping in northern India for TWS decline.
期刊介绍:
Water Security aims to publish papers that contribute to a better understanding of the economic, social, biophysical, technological, and institutional influencers of current and future global water security. At the same time the journal intends to stimulate debate, backed by science, with strong interdisciplinary connections. The goal is to publish concise and timely reviews and synthesis articles about research covering the following elements of water security: -Shortage- Flooding- Governance- Health and Sanitation