Ajai Singh

Prof. Ajai Singh

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2003 in Agricultural Water Management
Verified
Journal Article
Closed access
KTK.N Tiwari
K.N Tiwari
ASAjai Singh
Ajai Singh
PMP.K Mal
P.K Mal

1 February 2012 in Agricultural Water Management
Verified
Journal Article
Closed access
ASAjai Singh
Ajai Singh
MIM. Imtiyaz
M. Imtiyaz
RIR.K. Isaac
R.K. Isaac
DDD.M. Denis
D.M. Denis

23 January 2014 in Hydrological Sciences Journal
Verified
Journal Article
Open access
ASAjai Singh
Ajai Singh
MIMohd. Imtiyaz
Mohd. Imtiyaz
RIR.K. Isaac
R.K. Isaac
DDD.M. Denis
D.M. Denis
The process-based Soil and Water Assessment Tool (SWAT) model and the data-driven radial basis neural network (RBNN) model were evaluated for simulating sediment load for the Nagwa watershed in Jharkhand, India, where soil erosion is a severe problem. The SWAT model calibration and uncertainty analysis were performed with the Sequential Uncertainty Fitting algorithm version 2 and the bootstrap technique was applied on the RBNN model to analyse uncertainty in model output. The percentage of data bracketed by the 95% prediction uncertainty (95PPU) and the r factor were the two measures used to assess the goodness of calibration. Comparison of the results of the two models shows that the value of r factor (r = 0.41) in the RBNN model is less than that of SWAT model (r = 0.79), which means there is a wider prediction interval for the SWAT model results. More values of observed sediment yield were bracketed by the 95PPU in the RBNN model. Thus, the RBNN model estimates the sediment yield values more accurately and with less uncertainty. Editor D. Koutsoyiannis; Associate editor H. Aksoy Citation Singh, A., Imtiyaz, M., Isaac, R.K., and Denis, D.M., 2014. Assessing the performance and uncertainty analysis of the SWAT and RBNN models for simulation of sediment yield in the Nagwa watershed, India. Hydrological Sciences Journal, 59 (2), 351–364.

24 October 2018 in Journal of The Institution of Engineers (India): Series A
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Journal Article
Closed access
PDF file
SASunny Agarwal
Sunny Agarwal
JPJyoti P. Patil
Jyoti P. Patil
VGV. C. Goyal
V. C. Goyal
ASAjai Singh
Ajai Singh

25 November 2020 in Water Policy
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Journal Article
Open access
PDF file
FPFakeha Parween
Fakeha Parween
PKPratibha Kumari
Pratibha Kumari
ASAjai Singh
Ajai Singh
As water is a state subject in India, an enormous variation of irrigation water pricing across the states is noticed. Revenue collection under irrigation water charges of the states is not encouraging. The present paper reviews the structures of water pricing mechanism in different states of India and suggests a way to achieve sustainable water resources management in India. Various reports, water policy documents, and major recommendations of the irrigation commission were reviewed and analyzed. It was observed that low revenue collection is mainly due to the low rate of water taxes, no periodic revision, and flaws in the current revenue collection mechanism across the states. The water regulatory authority should be made a statutory body to manage various water uses and their fair pricing. A volumetric pricing system can be implemented in wells and tube-well-irrigated areas and for surface irrigation, and this requires considerable investment in irrigation water supply infrastructure and development of operational plans. Until a well-developed volumetric system comes into practice, the current system of revenue assessment and collection must be rationalized and simplified. An appropriate power tariff policy for rural areas and inclusion of the irrigation sector in a ground water conservation fee is required.

14 January 2023 in Groundwater for Sustainable Development
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Journal Article
Closed access
Kumar AshwiniKumar Ashwini
Kumar Ashwini
RVRajnish Kumar Verma
Rajnish Kumar Verma
SSSridharam Sriharsha
Sridharam Sriharsha
SCShikha Chourasiya
Shikha Chourasiya
ASAjai Singh
Ajai Singh