Dr. S. M. Yadav

Dr. S. M. Yadav is Professor of water resources engineering in department of civil engineering, at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India. His research areas are fluvial hydraulics, Reservoir Operation, sediments & sediment yield and hydro power, hydrology an climate change, applications of soft computing techniques in WRE and construction management. He has completed his Ph.D. from Sardar Vallabhbhai National Institute of Technology, Surat under the guidence of Dr. B. K. Samtani. He has held many professional positions in the field of water resource engineering as well as in academics. He has carried out lots of consultancy works as well as externally sponsored projects. He has published 35 articles in international journals, 8 articles in national journals, 60 articles in international conference proceedings as well as 59 articles in national conference proceedings till date. He has also conducted more than 50 seminars and workshops. He has delivered many expert lectures to academic institutes as well as industries.

Present position : Professor at Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat.

Discipline : Civil Engineering Department, SVNIT, Surat.

Experience : 30 years of teaching, research and consultancy works etc.

Office Address : Department of Civil Engineering

S. V. National Institute of Technology

Surat 395007,

Gujarat, INDIA

Contact Details : Tel: +091-0261-2201526 (O)

Mob: +091-09426152906

Fax: +091-0261-2228374

Gmail: shivnam27@gmail.com

smy@ced.svnit.ac.in

RECENT RESEARCH HIGHLIGHTS

The proposed SY contour map depicts the historic long-term SY record and can be helpful in obtaining knowledge of SY variation in India. The value obtained from the curve can become a reference value for validation of the SY models. The results of the predicted and observed SY are between the appreciable ranges. Yet, it can be improved further by detrending the SY dataset by understanding the hydrological and fuvial processes. It is identifed from the study that the Western Ghats region of India requires intensive basin management practices, as the reservoir sedimentation rate in the region is found to be the highest and discrepancy of the design and observed sedimentation rate is more.

For more details, check out the paper linked below.

Jabbar, Y. C., & Yadav, S. M. (2020). Spatial Interpolation of Sediment Yield Estimated from Reservoir Siltation Data of India. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 44(1), 361-374.

Seasonal analysis of annual rainfall shows extreme rainfall regime over study area which reveals almost total rainfall occurred within one to two months. Drought events have been identified by various drought indicators viz. Percentage Departure (D%), Rainfall Anomaly Index (RAI), and Standardized Precipitation Index (SPI). Rainfall concentration and monthly heterogeneity are also related to each other by drought characteristics. The declining trend of southwest monsoon PCI implies serious impact on the agriculture and water resources over Saurashtra, Kutch & Diu regions of Gujarat.

For more details, check out the paper linked below.

Yadav, S. M., Bhagat, S. R., & Yadav, V. G. (2021). Temporal analysis of precipitation in Saurashtra, Kutch, and Diu sub-division of Western Indian region. Theoretical and Applied Climatology, 144(1), 521-533.

The food risk is the degree of exposure to the undesired event, which involves the multiplication of the natural food hazard factors with highly vulnerable ones. The food hazard map is developed considering slope, distance from the main river, land use, land cover, soil, drainage density and rainfall. The food vulnerable index is developed using population density, crop production and density of road–river intersection. The high-risk areas of the river basin were identifed using a food risk map. AHP in combination with the GIS framework can be used as an alternative method for food inundation or for developing the map of foodprone zone of data-scarce river basins.

For more details, check out the paper linked below.

Ramkar, P., & Yadav, S. M. (2021). Flood risk index in data-scarce river basins using the AHP and GIS approach. Natural Hazards, 109(1), 1119-1140.

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