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A lumped sequential river flow forecasting model is outlined. It is shown to be flexible in both temporal and spatial scales, thereby allowing simulations to be undertaken for a wide range of practi...
In this paper comprehensive simulation models are presented which can forecast the streamflow in real time at various points in river systems and provide a tool for identifying improvements of the r...
In many physically based hydrological models, there is the requirement to specify the suction-moisture curve of the soil system. This paper shows that where the suction moisture curve is known, then...
A modified version of HBV-3 model has been used since 1981 for operational spring-time forecasting in Finland. This model is ready now for eleven river basins ranging from 500 to 30,000 km2. From th...
Some problems associated with forecasting water cooling in the entrance to the Baltic Sea are examined, using a diagnostic study from the severe ice winter of 1986187 as a starting point. In the stu...
After a review of existing operational models for daily snowmelt forecasting, an operational oriented one has been developed in order to provide a simple tool for one-to-three-day ahead flow managem...
The paper presents a classification and a review of the updating procedures currently used in real-time flood fo~ecastingm odelling. On the basis of results from the WMO project 'Simulated Real-Time...
This paper investigates the adaptive use of a simple conceptual lumped rainfallrunoff model based on a Probability Distributed Model complemented with a Geomorphological Unit Hydrograph. Three diffe...
This paper presents a non-homogeneous Markov chain approach for analyzing drought characteristics using the Palmer Drought Severity Index (PDSI). The probability mass functions of occurrence of diff...
Flood forecasting is always a challenge in Taiwan, which has a subtropical climate and high mountains. This paper develops a fuzzy clustering neural network (FCNN), and implements this novel structu...
Frequent flood occurrences in the Hormozgan province in the south of Iran cause immense damage to infrastructure, parts of cities and numerous villages, and also claim a number of lives. To study floo...
This paper investigates a potential of two remotely sensed wild-land fire characteristics: 4-μm Brightness Temperature Anomaly (TA) and Fire Radiative Power (FRP) for the needs of operational chemical...
This paper presents a new approach using an Artificial Neural Network technique to improve rainfall forecast performance. A real world case study was set up in Bangkok; 4 years of hourly data from 75 ...
This paper explores the use of flow length and travel time as a pre-processing step for incorporating spatial precipitation information into Artificial Neural Network (ANN) models used for river flow ...
This paper presents the application of a modular approach for real-time streamflow forecasting that uses different system-theoretic rainfall-runoff models according to the situation characterising the...

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