http://www.iaeme.com/IJCIET/index.asp 193 editor@iaeme.com International Journal of Civil Engineering and Technology (IJCIET) Volume 10, Issue 04, April 2019, pp. 193-201. Article ID: IJCIET_10_04_021 Available online at http://www.iaeme.com/ijciet/issues.asp?JType=IJCIET&VType=10&IType=04 ISSN Print: 0976-6308 and ISSN Online: 0976-6316 © IAEME Publication Scopus Indexed DEVELOPMENT OF DIGITAL ELEVATION MODEL FOR STORM -WATER MODELING FOR DELTAIC REGIONS OF THANJAVUR SUBURBS OF SOUTHERN INDIA Sivasamandy. R Assistant Professor, Centre for Environmental Engineering, PRIST (Deemed to be University), Thanjavur Jose Ravindra Raj. B Assistant Professor, Department for Civil Engineering, PRIST (Deemed to be University), Thanjavur. Aravind. S, Nithin. S, Niraj prabhu. R, Sivabalan. S, Sakthi dharmadurai. S Department of Civil Engineering, PRIST (Deemed to be University), Thanjavur. Ashutosh Das Director, Centre for Environmental Engineering, PRIST (Deemed to be University), Thanjavur. ABSTRACT The frequent monsoon fluctuation in the coastal region of Thanjavur city of Tamil Nadu, which is known to be the rice bowl of southern India, has been imparting increasing insecurity in the yield of the crops, but even the very living conditions of the population, who are mostly dependent on agriculture. Road-expansion (NH-67) of the recent years involving mass-removal of thousands of trees located at the roadside have led to micro-climatic variation over the years. Since most of the agricultural land of the area depends on the irrigation as well as water from canals of Cauvery river, the precipitation (with respect to quantity, duration, and periodicity) has been the lifeline of progress and sustenance of this zone. To track the baseline morphological and lithological regimes of Thanjavur city of Tamil Nadu (India) precisely, which forms the heart of storm-water modeling, the present study was carried out. The digital elevation modeling (DEM) was developed, using the topsheet and satellite imageries so as to evaluate the basis for hydro-geological modeling. Keywords: Population, DEM, Agriculture