Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Chandra Shekhar P. Ojha"'
Publikováno v:
J, Vol 6, Iss 4, Pp 544-563 (2023)
The friction factor is a widely used parameter in characterizing flow resistance in pipes and open channels. Recently, the application of machine learning and artificial intelligence (AI) has found several applications in water resource engineering.
Externí odkaz:
https://doaj.org/article/2c79217bc5674a8a83675faabf5ee50f
Autor:
Mohammad Parwez Akhtar, Chandra Shekhar Prasad Ojha, Nayan Sharma, Prathap Somu, Shweta Kodihal
Publikováno v:
Water, Vol 16, Iss 8, p 1122 (2024)
The present work explores the process of mathematical representation for the complex geometry of a wide alluvial river with high braiding intensities. It primarily focuses on an approach to developing a numerical solution algorithm for representing t
Externí odkaz:
https://doaj.org/article/9797d103bfac4da6b4bb5bfcd569baa1
Autor:
Sumant Kumar, Anuj Kumar Dwivedi, Chandra Shekhar Prasad Ojha, Vinod Kumar, Apourv Pant, P. K. Mishra, Nitesh Patidar, Surjeet Singh, Archana Sarkar, Sreekanth Janardhanan, C. P. Kumar, Mohammed Mainuddin
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 11, Pp 11114-11136 (2022)
Water resources in India's Indo-Gangetic plains are over-exploited and vulnerable to impacts of climate change. The unequal spatial and temporal variation of meteorological, hydrological and hydrogeological parameters has created additional challenge
Externí odkaz:
https://doaj.org/article/003a5a33336047499eb4008aedcfaab0
Autor:
Abhinanda Roy, K. S. Kasiviswanathan, Sandhya Patidar, Adebayo J. Adeloye, Bankaru‐Swamy Soundharajan, Chandra Shekhar P. Ojha
Publikováno v:
Water Resources Research. 59
Autor:
Ali Mohammad Rahmani, Vinay Kumar Tyagi, Neelam Gunjyal, A.A. Kazmi, Chandra Shekhar P. Ojha, Konstantinos Moustakas
Publikováno v:
Environmental research. 216(Pt 1)
Agro-waste having lignocellulosic biomass is considered most effective (heating value 16 MJ/kg) for energy production through anaerobic digestion (AD). However, recalcitrant lignocellulosic fraction in agro-waste obstructs its biotransformation and i
Publikováno v:
Water, Vol 11, Iss 10, p 2092 (2019)
Analysis of Spatio-temporal changes in precipitation (Pre) on the land surface of the earth was the focus of this study. Thiel-Sen median slopes and Modified Mann-Kendall (MMK) test were utilized to draw inferences. Majority of the regions were ident
Externí odkaz:
https://doaj.org/article/38feb14dfc3f4b8c8b89281194c2c766
Autor:
Chetan Sharma, Chandra Shekhar Prasad Ojha, Anoop Kumar Shukla, Quoc Bao Pham, Nguyen Thi Thuy Linh, Chow Ming Fai, Ho Huu Loc, Tran Duc Dung
Publikováno v:
Water, Vol 11, Iss 10, p 2097 (2019)
Reanalysis data is widely used to develop predictor-predictand models, which are further used to downscale coarse gridded general circulation models (GCM) data at a local scale. However, large variability in the downscaled product using different GCM
Externí odkaz:
https://doaj.org/article/b02879f7e0f64d498b8e54c59e18c8da
Publikováno v:
Water, Vol 11, Iss 3, p 613 (2019)
Satellite based rainfall estimation techniques have emerged as a potential alternative to ground based rainfall measurements. The Tropical Rainfall Measuring Mission (TRMM) precipitation, in particular, has been used in various climate and hydrology
Externí odkaz:
https://doaj.org/article/4b4c8eacece0468894ff81cd9d757bdb
Autor:
Ali Mohammad Rahmani, Vinay Kumar Tyagi, Banafsha Ahmed, A.A. Kazmi, Chandra Shekhar P. Ojha, Rajesh Singh
Publikováno v:
Environmental research. 212
In this study, four batch assays were performed to ensure the synergic effects of co-digestion and find out the best inoculums to substrate ratio (ISR), carbon to nitrogen ratio (C:N), and total solid (TS) percentage in sequence. The co-digestion of
Insight into a novel post-anoxic integrated biofilm process for wastewater treatment and reclamation
Autor:
Ankur Rajpal, Akansha Bhatia, Nilesh Tomar, A.A. Kazmi, Chandra Shekhar P. Ojha, Vinay Kumar Tyagi
Publikováno v:
Journal of Water Process Engineering. 49:102957