关于印度安贝德卡纳加尔地区(UP)部分干井通过降雨和人工补给结构补给地下水的研究

Sonveer Singh Arpan Sherring
{"title":"关于印度安贝德卡纳加尔地区(UP)部分干井通过降雨和人工补给结构补给地下水的研究","authors":"Sonveer Singh Arpan Sherring","doi":"10.20546/ijcmas.2024.1301.002","DOIUrl":null,"url":null,"abstract":"An experiment was conducted to study the groundwater recharge through rainfall and artificial recharge structures in selected dry well at different locations of Ambedkarnagar District, UP. The results of the study concluded that the autoregressive time series model can be used effectively to predict the pre and post monsoon ground water level the better predictions will help the Farmers and policy makers to optimally utilize the groundwater resources. It is providing the solutions to execute the artificial recharge structure at the appropriate locations with best geological condition to enhance the recharge rate at least cost for control of declining groundwater level. It reveals that the stochastic auto regressive lime series model is an effective tool for management of ground water resource in Ambedkarnagar district of Uttar Pradesh state.","PeriodicalId":13777,"journal":{"name":"International Journal of Current Microbiology and Applied Sciences","volume":"45 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Studies on the Ground Water Recharge through Rainfall and Artificial Recharge Structures in Selected Dry Well in Ambedkarnagar District (UP), India\",\"authors\":\"Sonveer Singh Arpan Sherring\",\"doi\":\"10.20546/ijcmas.2024.1301.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An experiment was conducted to study the groundwater recharge through rainfall and artificial recharge structures in selected dry well at different locations of Ambedkarnagar District, UP. The results of the study concluded that the autoregressive time series model can be used effectively to predict the pre and post monsoon ground water level the better predictions will help the Farmers and policy makers to optimally utilize the groundwater resources. It is providing the solutions to execute the artificial recharge structure at the appropriate locations with best geological condition to enhance the recharge rate at least cost for control of declining groundwater level. It reveals that the stochastic auto regressive lime series model is an effective tool for management of ground water resource in Ambedkarnagar district of Uttar Pradesh state.\",\"PeriodicalId\":13777,\"journal\":{\"name\":\"International Journal of Current Microbiology and Applied Sciences\",\"volume\":\"45 13\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Current Microbiology and Applied Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20546/ijcmas.2024.1301.002\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Current Microbiology and Applied Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20546/ijcmas.2024.1301.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

研究人员进行了一项实验,研究通过降雨和人工补给结构对 UP 省 Ambedkarnagar 地区不同地点选定干井中的地下水进行补给的情况。研究结果表明,自回归时间序列模型可有效用于预测季风前后的地下水位。它为在地质条件最佳的适当地点实施人工补给结构提供了解决方案,从而以最低成本提高补给率,控制地下水位的下降。研究表明,随机自回归石灰序列模型是北方邦安贝德卡纳加尔地区地下水资源管理的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Studies on the Ground Water Recharge through Rainfall and Artificial Recharge Structures in Selected Dry Well in Ambedkarnagar District (UP), India
An experiment was conducted to study the groundwater recharge through rainfall and artificial recharge structures in selected dry well at different locations of Ambedkarnagar District, UP. The results of the study concluded that the autoregressive time series model can be used effectively to predict the pre and post monsoon ground water level the better predictions will help the Farmers and policy makers to optimally utilize the groundwater resources. It is providing the solutions to execute the artificial recharge structure at the appropriate locations with best geological condition to enhance the recharge rate at least cost for control of declining groundwater level. It reveals that the stochastic auto regressive lime series model is an effective tool for management of ground water resource in Ambedkarnagar district of Uttar Pradesh state.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Molecular Characterization of Azotobacter and PSB from Xerophytic Plants of Maharashtra State, India Ethno-botanical Study of Some Important Climbers and Lianas of Adumalleshwara (Jogimatti) of Chitradurga, Karnataka Meta-Topolin Induced Shoot Organogenesis and Plant Regeneration from Different Explants of Tomato (Solanum lycopersicum L.) An OMICS-Based Approach Studies Natural Products Study on Enzyme Activities and Nutrient Availability in Calcareous Soil as Influence by Phytase and FYM Levels under Soybean Cultivation
×
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