Assessing the Impact of Groundwater Recharge on Underground Reservoir Replenishment in Eastern Uttar Pradesh, India

Vijeta Singh, A. Sherring, Sumant Kumar, Prashant Rai, Vinod Kumar
{"title":"Assessing the Impact of Groundwater Recharge on Underground Reservoir Replenishment in Eastern Uttar Pradesh, India","authors":"Vijeta Singh, A. Sherring, Sumant Kumar, Prashant Rai, Vinod Kumar","doi":"10.9734/ijecc/2024/v14i74301","DOIUrl":null,"url":null,"abstract":"Groundwater is considered a fresh resource of water and its uses have tremendously increased in the recent past due to an increase in population, rapid urbanization, and industrialization. In India, the groundwater level is declining in some parts of the country due to over-exploitation, low or negligible recharge of aquifer systems, and unsustainable development of groundwater resources. The groundwater modeling is an important tool for studying the past and present groundwater behavior and in the development of future strategies for sustainable groundwater management plans. To study the Impact of groundwater recharge on the replenishment of underground reservoir, Ballia district of Uttar Pradesh has been selected which is one of the districts of the most populous state of India, Uttar Pradesh. An attempt has been made to develop a groundwater model using Modflow software to simulate the groundwater trends and predict future groundwater heads. The calibration and validation of the model were done for 5 years and 3 years respectively. The correlation coefficient for calibration and validation was found 0.85 and root mean square errors vary from 2.89 to 3.2m variation in future trends of groundwater heads. The results of the study show that the developed model can be effectively used to predict the future groundwater heads. The groundwater flow was observed from the northwest to southeast direction. It was predicted from the study that groundwater draft will increase by 10% with a decrease in groundwater level by approximately 0.24 m in the north-west direction by the year 2025. However, no impact was observed in the south side of the district and it was predicted that the groundwater level would remain the same in this zone during the next 3 years.","PeriodicalId":506431,"journal":{"name":"International Journal of Environment and Climate Change","volume":" 8","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Environment and Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ijecc/2024/v14i74301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Groundwater is considered a fresh resource of water and its uses have tremendously increased in the recent past due to an increase in population, rapid urbanization, and industrialization. In India, the groundwater level is declining in some parts of the country due to over-exploitation, low or negligible recharge of aquifer systems, and unsustainable development of groundwater resources. The groundwater modeling is an important tool for studying the past and present groundwater behavior and in the development of future strategies for sustainable groundwater management plans. To study the Impact of groundwater recharge on the replenishment of underground reservoir, Ballia district of Uttar Pradesh has been selected which is one of the districts of the most populous state of India, Uttar Pradesh. An attempt has been made to develop a groundwater model using Modflow software to simulate the groundwater trends and predict future groundwater heads. The calibration and validation of the model were done for 5 years and 3 years respectively. The correlation coefficient for calibration and validation was found 0.85 and root mean square errors vary from 2.89 to 3.2m variation in future trends of groundwater heads. The results of the study show that the developed model can be effectively used to predict the future groundwater heads. The groundwater flow was observed from the northwest to southeast direction. It was predicted from the study that groundwater draft will increase by 10% with a decrease in groundwater level by approximately 0.24 m in the north-west direction by the year 2025. However, no impact was observed in the south side of the district and it was predicted that the groundwater level would remain the same in this zone during the next 3 years.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估地下水补给对印度北方邦东部地下水库补给的影响
地下水被认为是一种淡水资源,近年来,由于人口增加、城市化进程加快和工业化的发展,地下水的使用量大大增加。在印度,由于过度开采、含水层系统补给量低或可忽略不计以及地下水资源的不可持续开发,印度部分地区的地下水位正在下降。地下水模型是研究过去和现在地下水行为以及制定未来可持续地下水管理计划战略的重要工具。为了研究地下水补给对地下水库补给的影响,研究人员选择了北方邦的巴利亚区,该区是印度人口最多的邦--北方邦的一个区。尝试使用 Modflow 软件开发地下水模型,以模拟地下水趋势并预测未来地下水水头。模型的校准和验证分别进行了 5 年和 3 年。校准和验证的相关系数为 0.85,未来地下水水头趋势的均方根误差在 2.89 至 3.2 米之间。研究结果表明,所开发的模型可有效用于预测未来地下水水头。地下水流向为西北至东南方向。研究预测,到 2025 年,地下水吃水将增加 10%,西北方向的地下水位将下降约 0.24 米。不过,在该区南侧未观察到任何影响,预计未来 3 年该区域的地下水位将保持不变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Study on Soil Particle Distribution and Nutrient Availability in Maize-productive Zones of Jagtial District, Telangana, India A Study on Soil Particle Distribution and Nutrient Availability in Maize-productive Zones of Jagtial District, Telangana, India Agro-ecological Alternatives for Fall Armyworm Management in Maize: A Review Identification of Groundwater Potential Zones in Wakawali Watershed Using Remote Sensing and Geographic Information System (GIS) Influence of Varieties and Sowing Dates on Growth, Yield Attributes and Yield of Chickpea (Cicer arietinum L.) under Delayed Sowing
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1