Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"Flood Prediction"”.
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Development of flood prediction models using machine learning techniques
"Flooding and flash flooding events damage infrastructure elements and pose a significant threat to the safety of the people residing in susceptible regions. There are some methods that government authorities rely on to assist in predicting these events in advance to provide warning, but such …
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In-situ prediction on sensor networks using distributed multiple linear regression models
… by in-situ sensing and communication. These prediction models utilize low-computation, low-communication, and distributed algorithms suited to autonomous operation and multiple applications. We achieve this through development of new algorithms that enable distributed computation of the …
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A comparison of Scs runoff prediction methods for two large watersheds in Sri Lanka
… The objective of the study was to evaluate a flood prediction model based on the Soil Conservation Service (SCS) runoff curve method. The study results showed that the application of standard SCS tables and standard abstractions does not adequately predict computed direct runoff. The standard …
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Assessing uncertainty propagation of precipitation input in hydrometeorological ensemble forecasting systems
… in hydrometeorological ensemble systems for flood prediction. The study has been preliminary focused on the development of a hydrometeorological system that couples a statistical precipitation downscaling model, known as STRAIN, with a fully-distributed hydrological model, known as tRIBS. In …
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Using sensor web technologies to help predict and monitor floods in urban areas
Since flooding is worldwide one of the most common natural disasters, a number of flood prediction and monitoring approaches have been used. A lot of research has been conducted on the prediction and monitoring of floods by using hydrological models. The problem is that current hydrological models …
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Flood risk modeling and impact assessment using google earth engine in Mpumalanga province, South Africa
Flooding is one of the most devastating natural disasters globally, causing extensive damage to infrastructure, agriculture, and human settlements. In many regions, recurrent flood events continue to hamper disaster management programmes, largely due to the limited availability of near real-time …
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Effects of oceanic and atmospheric phenomena on precipitation and flooding in the Manafwa River Basin
… not limited to: reservoir and water management, flood prediction, and agricultural planning.
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IMPACTS OF URBAN DEVELOPMENT PATTERN ON RUNOFF PEAK FLOWS AND STREAMFLOW FLASHINESS OF PERI-URBAN CATCHMENTS: ASSESSING THE PERFORMANCE OF PHYSICAL AND DATA-DRIVEN MODELS FOR REAL-TIME ENSEMBLE FLOOD FORECASTING
… (ET) and infiltration rates are high, so urban floods are expected to occur during high intensity, low duration storm events. During cold seasons and below freezing temperatures, surficial soils are typically frozen and nearly impervious. In addition, the ET rate is low throughout winter. …
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Combining smart model diagnostics and effective data collection for snow catchments
Complete protection against flood risks by structural measures is impossible. Therefore flood prediction is important for flood risk management. Good explanatory power of flood models requires a meaningful representation of bio-physical processes. Therefore great interest exists to improve the …
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Coevolutionary dynamics under anthropogenic impact in intensively managed landscapes
Anthropogenic activities have encroached on floodplains for infrastructure and modified the landscapes for agriculture. Over time these become intensive and extensive to support increasing societal and economic demand. For example, landscapes in the U.S. Midwest have lost wetlands and native …