Titlebook: Advances in Water Resources & Hydraulic Engineering; Proceedings of 16th Changkuan Zhang,Hongwu Tang Conference proceedings 2009 Springer-

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書目名稱Advances in Water Resources & Hydraulic Engineering影響因子(影響力)




書目名稱Advances in Water Resources & Hydraulic Engineering影響因子(影響力)學科排名




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書目名稱Advances in Water Resources & Hydraulic Engineering網(wǎng)絡公開度學科排名




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書目名稱Advances in Water Resources & Hydraulic Engineering被引頻次學科排名




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書目名稱Advances in Water Resources & Hydraulic Engineering讀者反饋




書目名稱Advances in Water Resources & Hydraulic Engineering讀者反饋學科排名

Firefly

Stochastic Modeling and Prediction of the Ganges Flowtic streamflow sequences are useful for analyzing reservoir operation and river basin management policies. In this study, the monthly discharge data of the Ganges have been modeled and predicted using the Thomas - Fiering model for the dependent stochastic component and by taking variable month-to-m

GRACE

Distributed Water Balance Model in Watershed Coupling with River Dynamic flow Routing Methods with floodplains. Both the overland and the river flow are considered and the momentum exchange is taken into consideration. Cubic-spline interpolation technique is used to interpolate between the geographic data of the rivers’ cross-sections containing eleven pairs of X–Y points and to calculate

載貨清單

津貼

–DOX

Genetic Programming to Forecast Stream Flowt predicting stream flow at Rajghat in Narmada river basin of India using the technique of genetic programming (GP). The GP models are developed based on monsoon and non-monsoon seasons. The present paper describes 5 separate GP models, 4 for monsoon months and 1 for non-monsoon months for predictin

insular

Constrained Scaling Approach for Design Rainfall Estimationgarding the scale-invariant behavior in hydrological processes. In this paper, the scale-invariant approach found its way in frequency analysis for design rainfall depth estimation. In practice, intersections among design rainfalls for different durations under a same return period often occurs, whi

文藝

Artificial Neural Network Technique for Raingauge Based Rainfall Nowcasingmands global climate, land, and sea data, thus, large computing power and storage capacity are required. Rainfall nowcasting’s computing requirement, on the other hand, is much less demanding. Rainfall nowcasting may use data captured by radar and/or weather stations. This paper presents the applica

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Chipmunk

Daily Flow Estimation at Ungauged Regions Based on Regional Flow Duration Curves regional flow duration curve must be generated using their relations to the underlying surface characteristics of watershed. In traditional procedures of rainfall-runoff model calibration, a fit of the observed flow hydrographs normally is selected as the objective function for the model parameter