Sökning: "flood forecasting"

Visar resultat 1 - 5 av 11 uppsatser innehållade orden flood forecasting.

1. 1. Anticipating Glacier Lake Outburst Floods (GLOFs): an impact-based forecasting framework for managing GLOF risks in Nepal.

   Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

   Författare :Grace Muir; [2023]
   Nyckelord :Anticipatory Action; Impact-based Forecasting; Glacier Lake Outburst Flood; Nepal; Risk-informed Early Action; Prediction; Disaster Risk Management; Science General;

   Sammanfattning : Glacier lake outburst floods (GLOFs) are an increasingly documented threat across the Himalayan region, wherein Nepal is situated. GLOFs involve a rapid discharge of water from a lake situated at the side, front, within, beneath, or on the surface of a glacier. LÄS MER

3. 2. Case Study of Discharge Modeling for Nissan River in Halmstad Municipality

   Master-uppsats, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Federico Vega Ezpeleta; [2022]
   Nyckelord :Machine learning; Random Forrest Regression; Linear Regression; Discharge modeling; ERA5; CMIP6;

   Sammanfattning : Changes in precipitation patterns, temperature, and other climatic variables have been shown to modify thehydrological cycle and hydrological systems, potentially resulting in a shift in river runoff behavior and an increasedrisk of floods. There have been several instances of devastating floods throughout Europe’s history, which haveresulted in devastation and enormous economic losses. LÄS MER

4. 3. An evaluation of deep learning models for urban floods forecasting

   Master-uppsats, KTH/Geoinformatik

   Författare :Yang Mu; [2022]
   Nyckelord :Urban flooding forecasting; Convolutional neural networks; Deep learning; Physically-based simulation; Recurrent neural network; Stadsöversvämningsprognoser; konvolutionella neurala nätverk; djupinlärning; fysiskt baserad simulering; återkommande neurala nätverk;

   Sammanfattning : Flood forecasting maps are essential for rapid disaster response and risk management, yet the computational complexity of physically-based simulations hinders their application for efficient high-resolution spatial flood forecasting. To address the problems of high computational cost and long prediction time, this thesis proposes to develop deep learning neural networks based on a flood simulation dataset, and explore their potential use for flood prediction without learning hydrological modelling knowledge from scratch. LÄS MER

5. 4. Behind the early warning: Improving impact-based forecasting of riverine floods in Malawi using passive microwave remote sensing

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Lone Mokkenstorm; [2021]
   Nyckelord :Physical Geography; Ecosystem Analysis; Early Warning; Riverine Floods; Humanitarian Work; Impact-based Forecasting; Malawi; Earth and Environmental Sciences;

   Sammanfattning : This thesis investigates whether freely available, coarse-resolution, Passive Microwave Remote Sensing (PMRS) data (37 GHz) can be effectively used for early warning systems for floods in Malawi. The Shire River Basin in Chikwawa and the smaller-scale North Rukuru River Basin in Karonga were studied using two alternative, ratio-based satellite indices that make use of the signal difference between wet and dry pixel cells: The m index and the rcmc index. LÄS MER

7. 5. Analysis of floodplain population dynamics in the USA from 1790 to 2010​

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Firoza Akhter; [2020]
   Nyckelord :Floodplain; levee; flood damage; flood insurance; population dynamics; population growth rate;

   Sammanfattning : Floodplain is an important location for the economic and social development of society throughout history, although it afflicted by different disasters like floods and bank erosion from time to time. Population dynamics and distribution trends have important effects on the landscape and society. LÄS MER