Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hemant Raheja"'
Publikováno v:
Journal of Water and Health, Vol 22, Iss 2, Pp 350-366 (2024)
The present study explores the suitability of groundwater for drinking purpose and evaluates non-carcinogenic health risks for children, women, and men. For this purpose, 47 groundwater samples were collected and analyzed for physicochemical paramete
Externí odkaz:
https://doaj.org/article/6c8387bcfeaf41469a7eef700af12414
Publikováno v:
Water Practice and Technology, Vol 19, Iss 1, Pp 134-153 (2024)
This study discusses about suitability of groundwater for drinking and irrigation use in Rohtak district of Haryana (India). The entropy water quality index (EWQI), sodium absorption ratio (SAR), permeability index (PI), Sodium percentage (Na%), Kell
Externí odkaz:
https://doaj.org/article/7316da7622e544ddbc4f87451999bc27
Publikováno v:
Water Practice and Technology, Vol 17, Iss 11, Pp 2259-2277 (2022)
This study reported the results of groundwater quality for drinking and irrigation purposes in Kurukshetra district, Haryana, India. Twelve parameters, namely pH, TDS, TH, sodium (Na+), magnesium (Mg2+), calcium (Ca2+), potassium (K+), chloride (Cl
Externí odkaz:
https://doaj.org/article/d4da60fccfb4465abc49129a507f8c35
Publikováno v:
Water Practice and Technology, Vol 17, Iss 1, Pp 336-351 (2022)
The present paper deals with performance evaluation of application of three machine learning algorithms such as Deep neural network (DNN), Gradient boosting machine (GBM) and Extreme gradient boosting (XGBoost) to evaluate the ground water indices ov
Externí odkaz:
https://doaj.org/article/f764e5ab027f4ed9b66cc35bc1b6d93c
Publikováno v:
World Environmental and Water Resources Congress 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c776a46db759f31dcaa745645dee088
https://doi.org/10.1061/9780784484852.100
https://doi.org/10.1061/9780784484852.100
Publikováno v:
Water Practice and Technology. 17:336-351
The present paper deals with performance evaluation of application of three machine learning algorithms such as Deep neural network (DNN), Gradient boosting machine (GBM) and Extreme gradient boosting (XGBoost) to evaluate the ground water indices ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4008e1723114a0c2356b117f089e4100
https://doi.org/10.2166/wpt.2021.120
https://doi.org/10.2166/wpt.2021.120
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811991462
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7e527b3fbaafb29187205a6e07bc1c5
https://doi.org/10.1007/978-981-19-9147-9_42
https://doi.org/10.1007/978-981-19-9147-9_42
Publikováno v:
Lecture Notes in Civil Engineering ISBN: 9789811367168
Irrigation induced waterlogging and soil salinization is one of the serious problems in irrigated agriculture in arid and semi-arid regions. At present, 2.96 Mha area in India is affected by soil salinity. About 50,000 ha area in Haryana state is wat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a50b2bcfcdf5d35cdca6d8731a4290
https://doi.org/10.1007/978-981-13-6717-5_17
https://doi.org/10.1007/978-981-13-6717-5_17