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<title>Water Quality : Monitoring, Modelling and Prediction</title>
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<pubDate>Thu, 16 Apr 2026 00:23:30 GMT</pubDate>
<dc:date>2026-04-16T00:23:30Z</dc:date>
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<title>Water Quality : Monitoring, Modelling and Prediction</title>
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<title>Contents</title>
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<description>Contents
Jain, C. K.; Trivedi, R. C.; Sharma, K. D.
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<pubDate>Thu, 01 Jan 2004 00:00:00 GMT</pubDate>
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<title>Preface</title>
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<description>Preface
Jain, C. K.; Trivedi, R. C.; Sharma, K. D.
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<pubDate>Thu, 01 Jan 2004 00:00:00 GMT</pubDate>
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<title>1-An Analysis of Minimum Flow Requirement in a River from Ecological Considerations.</title>
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<description>1-An Analysis of Minimum Flow Requirement in a River from Ecological Considerations.
Palo, K. C.; Ghosh, N. C.; Mishra, G. C.
Disposal of effluents originating from municipal, industrial and agricultural sources into rivers is a traditional concept. River flow has limiting self purification capacity. Disposal of effluents in  excess to the self purification capacity affect the bio-diversity and the ecosystem maintaining by the river. Restriction of the normal flow by artificial barriers, such as dam, across the river without considering likely changes in the cycle of bio-diversity and ecosystem may alter socioeconomic and socio-cultural aspects of people depending on the river's water. &#13;
In the present paper, an analysis of minimum flow requirement to achieve the water quality standards of category `13',as prescribed in the IS:10500, for organic pollutants, has been carried out by simulating the BOD and the DO of the river for a 310 km stretch of Brahmni river down below the Rengali dam. The enhanced stream water quality model, QUAL2E developed by the US-EPA, has been used as a modeling tool. Out of the three analyses of minimum flow requirement alternatives; (i) augmentation of flow, (ii) control of pollution by treatment of effluents, and (iii) partial flow augmentation and partial treatment of effluents, option (iii) showed the preferred one from ecological considerations.
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<pubDate>Thu, 01 Jan 2004 00:00:00 GMT</pubDate>
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<title>2-Estimation of Areal Probable Maximum Precipitation (PMP) over Saurashtra and Kutch by Grid Point Transposition</title>
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<description>2-Estimation of Areal Probable Maximum Precipitation (PMP) over Saurashtra and Kutch by Grid Point Transposition
Kulkarni, B. D.; Mandal, B. N.; Sangam, R. B.; Mulye, S. S.
A generalized physical approach of estimating areal probable maximum precipitation (PMP) by physical method for the Saurashtra and Kutch region has been developed.  The highest average areal raindepths of different size areas and durations from the major rainstorms were considered which occurred over the region during 1891-2002.  The analysis is carried out to determine the greatest rainfall amounts experienced by various size areas and durations as per hydrometeorological practices. For each rainstorm, the area considered for the study is the area enclosed by peripheral isohyet of the rainstorm. It was found that the region experienced about 9 severe rainstorms during the 112-year period 1891-2002. These rainstorms were analyzed by Depth-Area-Duration (DAD)  method.   The transposition limits of major rainstorms have been identified.  The DAD raindepths were then moisture maximized at its original location of occurrence and then transposed at different grid points.  After applying various corrections, PMP values at different grid points were estimated for an area of 500, 1000, 5000 and 10,000 km2. With the help of these PMP estimates at different grid points, generalized PMP maps for areas 500-10,000 km2 have been prepared. These values of PMP for different size areas and durations will be useful for estimating design storm raindepths of PMP magnitudes for any sub-catchments in the Saurashtra and Kutch region falling in range of 500 to 10,000 km2 areas. The PMP estimates obtained by the generalised method are well comparable with values obtained by the physical method with limited transposition for 1-day and 2-day durations. However, for 3-day duration, limited transposition method was found to give higher estimates. The main advantage of this method is that it gives more satisfactory and consistent results than estimates made on project wise basis.
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<pubDate>Thu, 01 Jan 2004 00:00:00 GMT</pubDate>
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