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  • Apr, 2015
    Volume - 35, No. - 2
    MORPHOMETRIC ANALYSIS OF DHADHAR RIVER BASIN, GUJARAT
    Prerna Sutariya , Sanskriti Mujumdar and Dipak Sena

    The development of morphometric techniques was a major advance in the quantitative description of the geometry of the drainage basins and its network which helps in characterizing the drainage network, comparing the characteristic of several drainage...

1969 Dec

Issue (Volume No. 35, Number 2)

MORPHOMETRIC ANALYSIS OF DHADHAR RIVER BASIN, GUJARAT

The development of morphometric techniques was a major advance in the quantitative description of the geometry of the drainage basins and its network which helps in characterizing the drainage network, comparing the characteristic of several drainage networks and examining the effect of variables such as lithology, rock structure, rainfall etc. Morphometric analysis and their relative parameters have been quantitatively carried out for the Dhadhar basin, Gujarat, India. The quantitative analysis of the morphometric characteristics of the basin include Stream density, Stream order, Drainage density, Average stream slope, Compactness coefficient, Circulatory ratio, Elongation ratio, Form factor. The forgoing analysis clearly indicates some relations among the various attributes of the morphometric aspects of the basin and helps to understand their role in sculpturing the surface of the region. This study would help the local people to utilize the resources for sustainable development of the basin area.

by Prerna Sutariya , Sanskriti Mujumdar and Dipak Sena
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1969 Dec

Issue (Volume No. 35, Number 2)

GROUNDWATER QUALITY ASSESSMENT FOR IRRIGATION SUITABILITY IN SALINITY AFFECTED COASTAL RIVER BASIN OF GUJARAT

The groundwater system along the coast of Saurashtra is affected by high salinity. In the Minsar river basin, the groundwater salinity varies from very high near the sea coast to medium and low salinity values in the upland areas. Chemical analyses of water samples in the region show that calcium and magnesium are the dominant cations present in groundwater next to sodium. Similarly, bicarbonate anion is also present in considerable amounts next to chloride. To assess the suitability of groundwater for irrigation purposes, a total of 71 groundwater samples, collected from zones at varying distances from the sea coast, were analyzed for computing water quality indicators viz., salinity, sodium absorption ratio (SAR), percent sodium (%Na), residual sodium carbonate (RSC), magnesium hazard (MH), permeability index (PI) and boron concentrations. US Salinity Laboratory based classification was also carried out. Results reveal that quality of groundwater for irrigation is more suitable at distances generally beyond 12 km from the sea coast. Proper soil management and selection of crops with good salt tolerance are recommended in the region.

by Parul Gupta , Anupma Sharma and Namita Joshi
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1969 Dec

Issue (Volume No. 35, Number 2)

CO-ACTIVE NEURO-FUZZY INFERENCE SYSTEM (CANFIS) AND MULTIPLE LINEAR REGRESSION (MLR) BASED SUSPENDED SEDIMENT MDELLING

Accurate estimation of the suspended sediment load in streams is important for water resources engineering. Suspended sediment is a determining factor of the service life of hydraulic structures, like dams and reservoirs. This study investigates the potential of Co-active Neuro-Fuzzy Inference System (CANFIS) and Multiple Linear Regression (MLR) for estimating the daily suspended sediment concentration (SSC) at Tekra site on Pranhita River, which is a major tributary of Godavari River basin in Andhra Pradesh, India. The daily hydro-meteorological data of streamflow and suspended sediment concentration (SSC) from June 23, 2000 to November 11, 2003 were used for the development of CANFIS and MLR models. The architecture of CANFIS networks was constructed using the NeuroSolutions 5.0 software with Gaussian and generalized Bell membership functions (MFs), Takagi-Sugeno-Kang (TSK) fuzzy model, hyperbolic tangent activation function and Delta-Bar-Delta learning algorithms. The performance of CANFIS models was compared with those of MLR models using statistical indices such as root mean squared error (RMSE), coefficient of efficiency (CE) and correlation coefficient (r). The overall performance evaluation revealed that the CANFIS with TSK fuzzy model and the Gaussian membership function was superior to the MLR method in estimating daily SSC. The analysis revealed that the daily SSC depends on current and previous one day?s streamflow as well as SSC of previous one day at the Tekra station on Pranhita River

by Anurag Malik and Anil Kumar
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  • Apr, 2015
    Volume - 35, No. - 2
    RUNOFF COEFFICIENT FOR DIFFERENT HILLY MICRO WATERSHEDS UNDER DIFFERENT LAND USES
    Pulkabha Chowdhury , P. P. Dabral and R. K. Singh

    The study was carried out to estimate maximum runoff coefficients under different land uses of a hilly watershed. Nine different land uses (Live stock based farming system -W1 , timber plantation -W2 , agro-forestry -W3 , agriculture in bench terrace...

1969 Dec

Issue (Volume No. 35, Number 2)

RUNOFF COEFFICIENT FOR DIFFERENT HILLY MICRO WATERSHEDS UNDER DIFFERENT LAND USES

The study was carried out to estimate maximum runoff coefficients under different land uses of a hilly watershed. Nine different land uses (Live stock based farming system -W1 , timber plantation -W2 , agro-forestry -W3 , agriculture in bench terrace -W4 , agri-horti-silvipastoral system -W5 , horticulture -W6 , natural vegetation -W7 , fellow under shifting cultivation-W8 and pine plantation -WAEW) were considered under farming system research project site at ICAR Research Complex for NEH Region, Umiam, Meghalaya. The rational method for computing runoff coefficient under different land uses of nine hilly micro watersheds has been successfully used. Amongst the nine different micro watersheds, the highest mean monthly maximum runoff coefficient (0.432) was found in micro watershed W8 (average slope 54.87%) followed by micro watersheds W2 (average slope 38%) and W3 (average slope 33%) with mean monthly values of maximum runoff coefficient of 0.291 and 0.271 respectively. The lowest mean monthly maximum runoff coefficient (0.0705) was found in micro watershed W7 (average slope 53.18%). In the micro watersheds W1 (average slope 32%), W4 (average land slope 32.18%), W5 (average slope 32.42%) and W6 (slope 41.77%) mean monthly maximum runoff coefficient values were obtained 0.0906, 0.1348, 0.1167 and 0.1754 respectively. For the sediment producing events, the maximum runoff coefficients for the micro watersheds W1 ,W2 ,W3 , W4 , W5 and W6 were found in the range of 0.085-0.098, 0.356-0.518, 0.293-0.359, 0.105-0.191, 0.105-0.189 and 0.181-0.458 respectively. The mean values of maximum runoff coefficient for the micro watersheds W1 , W2 , W3 , W4 , W5 and W6 were found 0.091, 0.421, 0.319, 0.138, 0.147 and 0.336 respectively.

by Pulkabha Chowdhury , P. P. Dabral and R. K. Singh
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  • Apr, 2015
    Volume - 35, No. - 2
    APPLICATION OF GENE EXPRESSION PROGRAMMING IN FLOOD FREQUENCY ANALYSIS
    Mohd. Muzzammil , Javed Alam and Mohd Danish

    Flood frequency and its magnitude are essential for the proper design of hydraulics structures such as bridges, spillways, culverts, waterways, roads, railways, flood control structures and urban drainage systems. Since, flood is a very complex natur...

1969 Dec

Issue (Volume No. 35, Number 2)

APPLICATION OF GENE EXPRESSION PROGRAMMING IN FLOOD FREQUENCY ANALYSIS

Flood frequency and its magnitude are essential for the proper design of hydraulics structures such as bridges, spillways, culverts, waterways, roads, railways, flood control structures and urban drainage systems. Since, flood is a very complex natural event depending upon characteristics of catchment, rainfall conditions and various other factors, thus its analytical modelling is very difficult to pursue. Recently, artificial intelligence techniques such as gene expression programming (GEP), artificial neural network (ANN) etc. have been found to be efficient in modelling complex problems in hydraulic engineering. The performance of GEP model has been reported to be better than that of the ANN. Moreover, GEP provides mathematical equation which makes it more superior over other soft computing techniques that do not give any analytical mathematical equation. Therefore, in present study, GEP is implemented in flood frequency analysis for typical Indian river gauging station. The results obtained in the present study are highly promising and suggest that GEP modelling is a versatile technique and represents an improved alternative to the more conventional approach for the flood frequency analysis.

by Mohd. Muzzammil , Javed Alam and Mohd Danish
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1969 Dec

Issue (Volume No. 35, Number 2)

ASSESSMENT OF GROUND WATER QUALITY OF METROPOLITAN CITY VADODARA, GUJARAT USING WATER QUALITY INDEX

Metropolitan city of Vadodara is 16th largest town in India (population wise) and the third in the state of Gujarat. The city witnessed a sudden spurt in industrial activity with the establishment of Gujarat Refinery, Indian Oil Corporation. It is the industrial nucleas of the Gujarat State. Vadodara and its surrounding areas are today humming with industrial activity. The mixture of different kind of untreated/partially treated/treated industrial waste is being discharged through a number of drains passing in and the city. Further, the surface runoff caused by rainfall and spills from loading of oil tankers also contribute to the ground water contamination. In the present investigation, assessment of the ground water quality of different drinking water sources in and around metropolitan city of Vadodara has been carried out by using water quality index. The water quality data of ground water of pre- and post-monsoon seasons of the year 2008 and 2009 has been used for the calculation of water quality Index. Fifteen parameters (TDS, HCO3 , Cl, SO4 , NO3 , F, Ca, Mg, Na, K, Fe, Mn, Ni Cr and Cd) were used to calculate the water quality index and each of the 15 parameters (TDS, HCO3 , Cl, SO4 , NO3 , F, Ca, Mg, Na, K, Fe, Mn, Ni Cr and Cd) has been assigned a weight (wi ) according to its relative importance in the overall quality of water for drinking purposes. It was observed that quality was not observed to improve in about 50% of the locations after monsoon season during the year 2008 but during the year 2009, the quality of ground water was observed to improve in post-monsoon season in most of the samples. The groundwater of Limda, Harni, Nandesari and Makarpura was found to be ?unsuitable for drinking purposes?.

by M. K. Sharma
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  • Apr, 2015
    Volume - 35, No. - 2
    COMPUTATION OF DAM BREAK FLOOD DISASTER RISK INDEX
    Vijaya Kumar P.G. , S.K. Mishra and Ashish Pandey

    This paper presents a new Dam Break Flood Disaster Risk Index (DBFDRI) for quantitative assessment of the level of risk involved due to disaster likely to be caused by a dam break flood and it can be quite useful for taking various priority based mit...

1969 Dec

Issue (Volume No. 35, Number 2)

COMPUTATION OF DAM BREAK FLOOD DISASTER RISK INDEX

This paper presents a new Dam Break Flood Disaster Risk Index (DBFDRI) for quantitative assessment of the level of risk involved due to disaster likely to be caused by a dam break flood and it can be quite useful for taking various priority based mitigating measures. The index is determined by employing the results of HEC-RAS 4.1.0 for various locations downstream of the dam considering the parameters affecting the dam break flood disaster assessed from field survey.

by Vijaya Kumar P.G. , S.K. Mishra and Ashish Pandey
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  • Apr, 2015
    Volume - 35, No. - 2
    Journal of Indian Water Resources Society
    IWRS

    The World confronts the coupled threats of climate change, resource sustainability, and pollution. Water resources are inextricably linked to these challenges, and the benefits and implications of water research are of key interest to the public, the...

1969 Dec

Issue (Volume No. 35, Number 2)

Journal of Indian Water Resources Society

The World confronts the coupled threats of climate change, resource sustainability, and pollution. Water resources are inextricably linked to these challenges, and the benefits and implications of water research are of key interest to the public, the scientific community, international agencies, and government institutions. To restate the obvious that water is the basis of life and the engine for social and economic growth,The Indian Water Resources Society attempts to address such challenges. The Indian Water Resources Society is thus dedicated to the advancement of the science and technology of water resources development and management.

by IWRS
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