12-14 September, 2011, Lucknow - Earth Science India
12-14 September, 2011, Lucknow - Earth Science India
12-14 September, 2011, Lucknow - Earth Science India
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National Conference on <strong>Science</strong> of Climate Change and <strong>Earth</strong>’s Sustainability: Issues and Challenges ‘A Scientist-People Partnership’<br />
<strong>12</strong>-<strong>14</strong> <strong>September</strong>, <strong>2011</strong>, <strong>Lucknow</strong><br />
functional approximator. On the other hand ANFIS uses the combination of ANN and<br />
Fuzzy logic approach.<br />
The present case study relates to the development of a reliable forecasting<br />
simulation models for predicting the groundwater level in an alluvial country using<br />
groundwater level data and other meteorological parameters through ANN and ANFIS<br />
techniques. The input data sets are divided into training and testing subsets. The<br />
simulation models having various input structures are trained and tested to investigate<br />
the applicability of ANN and ANFIS techniques. The results of all the models both for<br />
training and testing data sets are evaluated and the best fit input structures and methods<br />
are determined according to criteria of performance evaluation viz. Mean Absolute<br />
Error (MAE), Root Mean Squared Error (RMSE), correlation coefficient (r 2 ) and<br />
Coefficient of Efficiency (CE). This paper identifies the proficiency of ANN and<br />
ANFIS modelling techniques to capture the complex dynamics involved in groundwater<br />
level prediction. The results also show the importance of input data selection and its<br />
effect on prediction accuracy. Also, the study confirms that ANN and ANFIS models<br />
are capable in predicting the groundwater levels even in complicated hydrologic cycles<br />
by using common hydrological data. The results are highly promising and a<br />
comparative analysis suggests that the proposed ANFIS modelling approach<br />
outperforms ANNs models in terms of computational speed, forecast errors, efficiency<br />
etc. It was further observed that the ANFIS model also preserves the potential of the<br />
ANN approach fully, and eases the model building process.<br />
GIS BASED MODELING AND IMPACT ASSESSMENT<br />
OF URBANIZATION ON NATURAL CHARACTERISTICS<br />
OF GOMTI BASIN: A CASE STUDY OF LONI<br />
WATERSHED<br />
Archana Gupta 1 , Akanksha Shukla 1 , Kamlesh Kumar 2 , Anju Verma 3 ,<br />
Biswajeet Thakur 2 and Droupti Yadav 4<br />
1 Department of Geography, <strong>Lucknow</strong> University, <strong>Lucknow</strong>.<br />
2 Birbal Sahni Institute of Palaeobotany, 53, University Road, <strong>Lucknow</strong>.<br />
3 Department of Environmental sciences, IBSBT, CSJM University, Kanpur.<br />
4 Department of Geology, <strong>Lucknow</strong> University, <strong>Lucknow</strong>.<br />
The negative effects of urbanization on natural characteristics of watershed have<br />
been recognized for many years. In the urban scenario the ever-increasing population<br />
and resultant concretization significantly influences the natural recharge of groundwater<br />
resource. Urbanized areas are associated with changes in natural land use, increased<br />
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