Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Prasoon Kumar Singh"'
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 3, Pp 411-434 (2024)
Noise pollution is a significant concern in urban settings, caused by traffic increases, urban expansion, and industrial activity. The transportation sector is a crucial contributor to overall noise pollution, particularly in India, where different v
Externí odkaz:
https://doaj.org/article/525cf1b2e8e44785ae140d8961a69572
Publikováno v:
Applied Water Science, Vol 10, Iss 1, Pp 1-16 (2019)
Abstract One hundred two groundwater samples were collected from the Bokaro district of Jharkhand state, India, during the pre-and post-monsoon seasons of the year 2014–2015. In the present study, groundwater samples were analysed for pH, TDS, TH,
Externí odkaz:
https://doaj.org/article/9589586087fb4050828b4e733fb74947
Autor:
Ashwani Kumar Tiwari, Muriel Lavy, Gianpiero Amanzio, Marina De Maio, Prasoon Kumar Singh, Mukesh Kumar Mahato
Publikováno v:
Applied Water Science, Vol 7, Iss 8, Pp 4513-4524 (2017)
Abstract The West Bokaro coalfield is a richest coal-mining belt in the Damodar Valley, India. The extensive mining of the area has resulted in disruption of the groundwater availability in terms of both quantity and quality. This has led to a drinki
Externí odkaz:
https://doaj.org/article/3cc8ea69143a4cb4a6c2268ea16a08a1
Autor:
Shivam Saw, Prasoon Kumar Singh, Jaydev Kumar Mahato, Rohit Patel, Deepak Naresh Dhopte, Evans Asenso
Publikováno v:
BioMed Research International. 2022:1-14
This study evaluated the groundwater using the Entropy Weightage Quality Index model (EWQI). Eighteen samples were taken from the different wellbores during premonsoon seasons in 2021. The present study is aimed at developing a comprehensive approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a87d70a7c922261b53b1422e638baf6a
https://doi.org/10.1155/2022/2476126
https://doi.org/10.1155/2022/2476126
Publikováno v:
Environmental Science and Pollution Research. 29:48168-48184
It is the need of an era to develop efficient traffic noise prediction models with optimum accuracy. In this context, the present work tries to comprehend the performance-related potential parameters based on earlier published articles worldwide that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecffd4f597683df8b9cdb71d2995220b
https://doi.org/10.1007/s11356-022-20693-1
https://doi.org/10.1007/s11356-022-20693-1
Publikováno v:
Environmental Science and Pollution Research. 29:39948-39972
Road traffic vehicular noise is one of the main sources of environmental pollution in urban areas of India. Also, steadily increasing urbanization, industrialization, infrastructures around city condition causes health risks among the urban populatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::192c9c4c2809b33331a00cb90eda642b
https://doi.org/10.1007/s11356-021-17577-1
https://doi.org/10.1007/s11356-021-17577-1
Autor:
Abhijit Debnath, Prasoon Kumar Singh
Environmental noise is an unpleasant by product of urbanisation and industrial development. This undesirable sound causes serious negative effects on individuals, including hypertension, hearing loss, sleep difficulties, and has a detrimental effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb4eac41c5d52e38bc93eeebabf97b7
https://doi.org/10.21203/rs.3.rs-2848428/v1
https://doi.org/10.21203/rs.3.rs-2848428/v1
Autor:
Shivam Saw, Prasoon Kumar Singh, Jaydev Kumar Mahato, Rohit Patel, Vaibhav Deoli, Lakshman Singh
Publikováno v:
Environmental Quality Management.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::950defcdd6e913c23439560e151b2694
https://doi.org/10.1002/tqem.22000
https://doi.org/10.1002/tqem.22000
Publikováno v:
Springer Hydrogeology ISBN: 9783031293931
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0421a7f73d787c4d78f466a5161685b
https://doi.org/10.1007/978-3-031-29394-8_3
https://doi.org/10.1007/978-3-031-29394-8_3
Publikováno v:
Landslides: Detection, Prediction and Monitoring ISBN: 9783031238581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d4c14423db01e05f50ec0ddf740b001
https://doi.org/10.1007/978-3-031-23859-8_17
https://doi.org/10.1007/978-3-031-23859-8_17