نتایج جستجو برای: catchment peak discharge therefore

تعداد نتایج: 856892  

2011
Paul D. Brooks Peter A. Troch Matej Durcik Erika Gallo Melissa Schlegel

[1] Primary productivity and vegetation cover are strongly related to how precipitation is partitioned into surface discharge, storage, and evapotranspiration (ET). Thus, quantifying feedbacks between changes in precipitation and vegetation at regional scales is a critical step toward predicting both carbon balance and water resources as climate and land cover change. We used a catchment-based ...

2001
OGNJEN BONACCI

The problems and present methods for the calculation of monthly and annual effective infiltration coefficients in Dinaric karst catchments which cover areas smaller than 200 km are discussed. An example is given of the catchment of the Gradole karst spring, which covers 114 km. The climate on the catchment is North Mediterranean, with average annual rainfall of 986 mm, average air temperature o...

B. Ghahraman

Two representative watersheds, Ammameh and Kasilian, located in Southern and Norten Elborz mountain in Iran respectively were considered. Fourteen events of rainfall-runoff in nonmelting seaons were chosen and their storms and flood hydrographs were gathered from an automatic recording station. Base flow separation was made by recession limb analysis while Philip equation was used for the calcu...

2015
Yongwon Seo Young-Ho Seo Young-Oh Kim

Hydraulic and hydrologic analysis in urban catchments is typically accompanied by a number of uncertainties, such as a lack of required information for modeling purposes or complex loops inside a drainage network. In this article, Gibbs’ stochastic network model is utilized in order to achieve a dendritic network that corresponds to a fully looped network in terms of the peak of the runoff hydr...

Journal: :مرتع و آبخیزداری 0
مریم خسروی کارشناسی¬ارشد آبخیزداری، دانشکده منابع طبیعی، دانشگاه تهران، ایران علی سلاجقه دانشیار دانشکده منابع طبیعی، دانشگاه تهران، ایران محمد مهدوی استاد دانشکده علوم فنون دریایی، دانشگاه آزاد اسلامی، واحد تهران شمال‏، ایران محسن محسنی ساروی استاد دانشکده منابع طبیعی، دانشگاه تهران، ایران

it is necessary to use empirical models for estimating of instantaneous peak discharge because of deficit of gauging stations in the country. hence, at present study, two models including artificial neural networks and nonlinear multivariate regression were used to predict peak discharge in taleghan watershed. maximum daily mean discharge and corresponding daily rainfall, one day antecedent and...

2013
Chris B. Graham Holly R. Barnard Kathleen L. Kavanagh James P. McNamara

Diel fluctuations can comprise a significant portion of summer discharge in small to medium catchments. The source of these signals and the manner in which they are propagated to stream gauging sites is poorly understood. In this work, we analysed stream discharge from 15 subcatchments in Dry Creek, Idaho, Reynolds Creek, Idaho, and HJ Andrews, Oregon. We identified diel signals in summer low f...

1999
R. E. Smith

Data from the Catsop catchment in South Limburg, Netherlands was simulated with the model KINEROS2. The results of calibration and validation on a split set of runoff and sediment data are reported and the variations in apparent parameters are analyzed. Calibration was performed with regard to the temporal distribution of runoff and sediment rather than single values such as total or peak rates...

2008
LUC FEYEN MILAN KALAS JASPER A. VRUGT

In catchments characterized by spatially varying hydrological processes and responses, the optimal parameter values or regions of attraction in parameter space may differ with location-specific characteristics and dominating processes. This paper evaluates the value of semi-distributed calibration parameters for large-scale streamflow simulation using the spatially distributed LISFLOOD model. W...

جانی زاده, سعید, وفاخواه, مهدی,

     Prediction of flood peak discharge and runoff volume is one of the major challenges in the management of watersheds. The present study was carried out to estimate event flood peak discharge and runoff volume using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in Kasilian watershed, Iran. For this purpose, 15 rainfall characteristics were considered for 6...

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