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标题：Stochastic Modeling of Flow and Sediment of the Rivers at Delta Head, East Coast of India
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作者：Siba Prasad Mishra
期刊名称：American Journal of Operations Research
印刷版ISSN：2160-8830
电子版ISSN：2160-8849
出版年度：2017
卷号：7
期号：6
页码：331-347
DOI：10.4236/ajor.2017.76025
语种：English
出版社：Scientific Research Pub
摘要：Major peninsular rivers debouching into the Bay of Bengal through 2729 km long east coast of India, carry enormous inland flow and sediment from their alluvial basins. Present climate changes, storm irregularities and tsunamis have changed the hydrology of the coastal rivers. The hydrologic interventions for human need have reduced the sediment flow of the rivers resulting in sinking the deltas. Twelve important river basins in the east coast of India were identified. Linear and nonlinear regression equations were developed by stochastic approach of their annual flow (1986-2011) and yearly sediment influx (1993-2012) for the 12 rivers at their delta head. As results, the annual flow of the rivers from Subarnarekha to Godavari followed rational curves except the Brahmani River and Gaussian models for rivers from the Godavari to south except the river Vaigai. Similarly, the curve fitting models of time series for sediment had shown a change in curve pattern, the river Godavari being the line of demarcation. Gumbel II and Log Pearson type III methods were used to predict the flow and the sediment at various probabilities. Sediment prediction by Gumbel method had shown lower values than Log Pearson Type III methods for planning and design of hydraulic structures. The disparities in geologic formation of the central India and Deccan Plateau can be emphasized based on the statistical interpretations.
关键词：East CoastIndian RiverRegression AnalysisGumbel II MethodLPT III Methods