IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 5, No. 4, December 2016, pp. 135~142 ISSN: 2252-8938  135 Journal homepage: http://iaesjournal.com/online/index.php/IJAI Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies Tushar Anthwal 1 , M K Pandey 2 1 Department of Computer Science, Bhagwant University, India 2 Department of Computer Science, Amrapali Institute Article Info ABSTRACT Article history: Received Aug 13, 2016 Revised Oct 17, 2016 Accepted Nov 20, 2016 With growing power of computer and blend of intelligent soft wares, the interpretation and analytical capabilities of system had shown an excellent growth, providing intelligence solutions to almost every computing problem. In this direction here we are trying to identify how different geocomputation techniques had been implemented for estimation of parameters on water bodies so as to identify the level of contamination leading to different level of eutrophication. The main mission of this paper is to identify state-of-art in artificial neural network paradigms that are prevailing and effective in modeling and combining spatial data for anticipation. Among this our interest is to identify different analysis techniques and their parameters that are mainly used for quality inspection of lakes and estimation of nutrient pollutant content in it, and different neural network models that offered the forecasting of level of eutrophication in the water bodies. Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant data. Keyword: Artificial neural network Eutrophication Geocomputing Spatial imagery data Water quality Copyright © 2016 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Tushar Anthwal, Department of Computer Applications, Amrapali Institute of Management & Computer Application, Shiksha Nagar, Haldwani, Uttarakhand, India. Email: anthwal.tushar@gmail.com 1. INTRODUCTION Eutrophication is a process of increase of nutrient content in water bodies, such as lakes, estuaries, rivers, or slow-moving streams that accelerates the plant growth such as algae, periphyton and plant weeds in excess. This enhanced growth of plants is known as an algal bloom, which in turn results with a low concentration of dissolved oxygen a state known as hypoxic and decaying of certain feeble plant species over others were favored, and is likely to cause severe reductions in water quality. The nutrients content would reach water bodies from many sources, such as fertilizers applied to agricultural fields, landfills near rivers; deposition of nitrogen from the atmosphere; erosion of soil; sewage treatment plant discharges etc. Eutrophication decreases the resource value of rivers, lakes, and estuaries having adverse affect on water usage for irrigation, fishing, aquatic life of plants and animals thus making water ecosystem unbalance. Sever health problems emerge where eutrophic conditions interfere with drinking water treatment. As per article published in by Jin [1] showed that all lakes studied were undergoing the eutrophication process. In the year 1970’s, most of the lakes were with 91.8% water accounts, mesotrophic stage. In the next decade the percentage of lakes with oligotrophic status decreased by approximate 3%-0.5% and eutrophication increases by 5%-55%. By the year 2008 about 60% of lakes in china were in eutrophic and hypertrophic condition and further predicted that by 2030 all urban lakes would share the same status.