Showing 4 results for A. Abrishamchi
A. Abrishamchi, A. Afshar,
Volume 13, Issue 1 (7-1993)
Abstract
S. S. Eslmian, A. Abrishamchi and K. Farzamnia,
Volume 19, Issue 2 (1-2001)
Abstract
Accurate estimate of flood flows at selected return periods is a fundamental step in flood control and design of hydraulic structures. Due to the inadequacy or unavailability of flood flow records in several western catchments of Iran, traditional regional flood frequency methods lead to remarkable estimate errors, particularly for long return periods. In this research, discriminant analysis is used to allocate catchments short of adequate records to defined regions, and rare discharges for the catchments are estimated subsequently. The discriminant model validation is evaluated and the results show low estimate errors.
K. Norouzian, M.tajrishy and A. Abrishamchi,
Volume 20, Issue 1 (7-2001)
Abstract
Zoning the pollution of a river may be the first or even the most important step in water quality management. In order to resolve its pollution, fuzzy clustering analysis may be used whenever a composite classification of water quality incorporates mutiple parameters
In such cases, the technique may be used as a complement or an alternative to comprehensive assessment. In fuzzy clustering analysis, the classification is achieved through a fuzzy relation. After a fuzzy similiarity matrix has been established and the fuzzy relation stabilized, a dynamic clustering chart can be developed. Given a suitable threshold, the appropriate classification is worked out. A general methodology for fuzzy clustering analysis is developed and illustrated with a case study of water quality evaluation for the Zayandeh-Rood river, the results of which have been represented in a pollution zoning manner.
M. T. Sattari, S. S. Eslamian and A. Abrishamchi,
Volume 21, Issue 2 (1-2003)
Abstract
Limitations on water resources and the high costs of new hydraulic structure construction intensify the need for an optimum operation of Iranian reservoir systems. For appropriate water distribution and management in a 9-reservoir system on the Kalamarz river, Mianeh basin optimizing mathematical models are applied. Considering the stochastic nature of river discharges and the constant amount of reservoir volume and farmland area, an optimum linear chance constrained model is programmed and run by GAMS software. This model is only used for within-year regulation. Using a linear yield regulation, operation parameters for request months and all reservoirs are derived by the model. Also, the model computes portions of river discharge diverted to each reservoir in different months and outflow from downstream for different months. Results show greater than 60 percent deficit that indicates the lack of sufficient attention to constructing an optimum reservoir volume and extensive development of farmlands for each reservoir.
Keywords: Multi-reservoir system, optimal operation optimizing Models, linear chance constrained model
