Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Rituraj shukla"'
Publikováno v:
Water Supply, Vol 24, Iss 7, Pp 2232-2246 (2024)
This study delves into the analysis of recession characteristics of spring base flow, focusing on the Hill campus spring (elevation of approximately 2,150 m) and Fakua spring (elevation of approximately 1,850 m) in the Tehri Garhwal district of Uttar
Externí odkaz:
https://doaj.org/article/5c2f6bbe4acb437a899a548faf8e148a
Autor:
Rituraj Shukla, Deepak Khare, Anuj Kumar Dwivedi, Ramesh Pal Rudra, Santosh S. Palmate, C. S. P. Ojha, Vijay P. Singh
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3559-3595 (2023)
Statistical downscaling (SD) is preferable to dynamic downscaling to derive local-scale climate change information from large-scale datasets. Many statistical downscaling models are available these days, but comparison of their performance is still i
Externí odkaz:
https://doaj.org/article/7218329e6cf94800b7b37d8333178fa9
Autor:
Rituraj Shukla, Ramesh Rudra, Prasad Daggupati, Colin Little, Alamgir Khan, Pradeep Goel, Shiv Prasher
Publikováno v:
Hydrology, Vol 11, Iss 2, p 22 (2024)
The effectiveness of existing and potential best management practices (BMPs) to cropped lands in the Jeannette Creek watershed (Thames River basin, Ontario, Canada) in reducing P loads at its pumped outlets was assessed using the Soil and Water Asses
Externí odkaz:
https://doaj.org/article/36a26b6455ef411f88593f0acc8c5abf
Autor:
Peter Miele, Rituraj Shukla, Shiv Prasher, Ramesh Pal Rudra, Prasad Daggupati, Pradeep Kumar Goel, Katie Stammler, Anand Krishna Gupta
Publikováno v:
Resources, Vol 12, Iss 12, p 142 (2023)
Non-point source pollution poses a continuous threat to the quality of Great Lakes waters. To abate this problem, the Great Lakes Agricultural Stewardship Initiative (GLASI) was initiated in Ontario, Canada, with the primary aim of reducing phosphoru
Externí odkaz:
https://doaj.org/article/4c26912f74e2496b8c2f32647e94e071
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11403 (2022)
In the modern era, water quality indices and models have received attention from environmentalists, policymakers, governments, stakeholders, water resource planners, and managers for their ability to evaluate the water quality of freshwater bodies. D
Externí odkaz:
https://doaj.org/article/0482748344db42989dc084dcbc84f84e
Autor:
Ramesh P. Rudra, Balew A. Mekonnen, Rituraj Shukla, Narayan Kumar Shrestha, Pradeep K. Goel, Prasad Daggupati, Asim Biswas
Publikováno v:
Agriculture, Vol 10, Iss 10, p 468 (2020)
Non-point source (NPS) pollution is an important problem that has been threatening freshwater resources throughout the world. Best Management Practices (BMPs) can reduce NPS pollution delivery to receiving waters. For economic reasons, BMPs should be
Externí odkaz:
https://doaj.org/article/7c6a6fb2cfe046af8f4f1b2a7e19c5c3
Publikováno v:
Journal of Agrometeorology, Vol 18, Iss 2 (2016)
Externí odkaz:
https://doaj.org/article/f09565721d564e4a8362ba4e8a68ba5a
Autor:
Ramesh P. Rudra, Trevor Dickinson, Jaskaran Dhiman, Shaukat Manzoor, Pradeep Goel, Rituraj Shukla
Publikováno v:
Journal of the ASABE. 65:1249-1256
Highlights Number of frost-free days (FFD) increased exponentially with an increase in winter daily minimum temperatures. Winter daily minimum temperatures increased at a rate of 2°C per 100 years for the investigated stations. Stations situated in
Autor:
Kishor Panjabi, Ramesh P. Rudra, Rituraj Shukla, Narayan K. Shrestha, Pradeep K. Goel, Prasad Daggupati, Bahram Gharabaghi
Publikováno v:
Hydrological Sciences Journal.
Autor:
Rituraj shukla, Deepak Khare, Anuj Kumar Dwivedi, Ramesh Pal Rudra, Santosh S. Palmate, C.S. P. Ojha, Vijay P. Singh
Statistical downscaling (SD) is preferable to dynamic downscaling to derive local-scale climate change information from large-scale datasets. Many SD models are available these days, but comparison of their performance is still inadequately addressed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57eb735045aca01aeee1921f59192d14
https://doi.org/10.21203/rs.3.rs-2296502/v1
https://doi.org/10.21203/rs.3.rs-2296502/v1