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The Value of Snow Depletion Forecasting Methods Towards Operational Snowmelt Runoff Estimation Using MODIS and Numerical Weather Prediction Data

Şensoy, Aynur; Uysal, Gökçen - In: Water Resources Management 26 (2012) 12, pp. 3415-3440

the study are; firstly, to assess the methodologies to forecast SCA using Moderate Resolution Imaging Spectroradiometer … (MODIS) data and derive Snow Depletion Curve (SDC) for each elevation zone. Secondly, to forecast 1 day ahead daily … analyzed for the snowmelt season. Four different methodologies are proposed and assessed to forecast SDCs; simple averaging …

Persistent link: https://www.econbiz.de/10010997439

Modeling of Sediment Yield Prediction Using M5 Model Tree Algorithm and Wavelet Regression

Goyal, Manish - In: Water Resources Management 28 (2014) 7, pp. 1991-2003

The forecast of the sediment yield generated within a watershed is an important input in the water resources planning …

Persistent link: https://www.econbiz.de/10010847251

Intermittent Streamflow Forecasting by Using Several Data Driven Techniques

Kisi, Ozgur; Nia, Alireza; Gosheh, Mohsen; Tajabadi, … - In: Water Resources Management 26 (2012) 2, pp. 457-474

Forecasting intermittent streamflows is an important issue for water quality management, water supplies, hydropower and irrigation systems. This paper compares the accuracy of several data driven techniques, that is, adaptive neuro fuzzy inference system (ANFIS), artificial neural networks...

Persistent link: https://www.econbiz.de/10010847356

Streamflow Forecast and Reservoir Operation Performance Assessment Under Climate Change

Li, Lanhai; Xu, Honggang; Chen, Xi; Simonovic, S. - In: Water Resources Management 24 (2010) 1, pp. 83-104

This study attempts to investigate potential impacts of future climate change on streamflow and reservoir operation performance in a Northern American Prairie watershed. System Dynamics is employed as an effective methodology to organize and integrate existing information available on climate...

Persistent link: https://www.econbiz.de/10010794242

Reservoir Inflow Modeling Using Temporal Neural Networks with Forgetting Factor Approach

Razavi, Saman; Araghinejad, Shahab - In: Water Resources Management 23 (2009) 1, pp. 39-55

, which is trained with the proposed approach, has shown a significant improvement in the forecast accuracy in comparison with …

Persistent link: https://www.econbiz.de/10010794272

Effect of inflow forecast accuracy and operating time horizon in optimizing irrigation releases

Sivapragasam, C.; Vasudevan, G.; Vincent, P. - In: Water Resources Management 21 (2007) 6, pp. 933-945

irrigation demand and storage requirements. As it is commonly recognized that accuracy of inflow forecast and operating time … forecast accuracy and operating horizon. The flexibility offered by GA to set up and evaluate objective functions is exploited … performance of GA is found to be better than LP, when forecast model of higher accuracy and longer period of operating horizon are …

Persistent link: https://www.econbiz.de/10010794352

Drought forecasting using the Standardized Precipitation Index

Cancelliere, A.; Mauro, G.; Bonaccorso, B.; Rossi, G. - In: Water Resources Management 21 (2007) 5, pp. 801-819

Unlike other natural disasters, drought events evolve slowly in time and their impacts generally span a long period of time. Such features do make possible a more effective drought mitigation of the most adverse effects, provided a timely monitoring of an incoming drought is available. Among the...

Persistent link: https://www.econbiz.de/10010794481