نوع المادة: كتاب

الموضوعات

Floods, Social aspects.

Floods, Economic aspects.

Floods.

Emergency management.

Disaster relief.

Civil defense.

BUSINESS & ECONOMICS / Economic Conditions

SOCIAL SCIENCE, Disasters & Disaster Relief.

NATURE, Natural Disasters.

Inondations, Aspect economique, Quebec (Province), Saguenay-Lac-Saint-Jean.

Secours aux victimes de catastrophes, Quebec (Province), Saguenay-Lac-Saint-Jean.

Gestion des situations d'urgence, Quebec (Province), Saguenay-Lac-Saint-Jean.

Protection civile, Quebec (Province), Saguenay-Lac-Saint-Jean.

Inondations, Aspect social, Quebec (Province), Saguenay-Lac-Saint-Jean.

Inondations, Quebec (Province), Saguenay-Lac-Saint-Jean.

Disaster relief, Quebec (Province), Saguenay-Lac-Saint-Jean.

Emergency management, Quebec (Province), Saguenay-Lac-Saint-Jean.

Floods, Economic aspects, Quebec (Province), Saguenay-Lac-Saint-Jean.

Disaster relief, Quebec (Province), Saguenay-Lac-Saint-Jean Region.

Emergency management, Quebec (Province), Saguenay-Lac-Saint-Jean Region.

Civil defense, Quebec (Province), Saguenay-Lac-Saint-Jean.

Floods, Social aspects, Quebec (Province), Saguenay-Lac-Saint-Jean.

Floods, Quebec (Province), Saguenay-Lac-Saint-Jean.

المصادر: MUSE

اللغة: الإنجليزية

التاريخ: 1998

ردمك: 9782760516144

1 online resource (261 pages):

illustrations.

ملف خارجي

نوع المادة: كتاب

الموضوعات

data scarce basins; runoff series; data forward prediction; ensemble empirical mode decomposition (EEMD); stopping criteria; method of tracking energy differences (MTED); deep learning; convolutional neural networks; superpixel; urban water bodies; high-resolution remote-sensing images; monthly streamflow forecasting; artificial neural network; ensemble technique; phase space reconstruction; empirical wavelet transform; hybrid neural network; flood forecasting; self-organizing map; bat algorithm; particle swarm optimization; flood routing; Muskingum model; machine learning methods; St. Venant equations; rating curve method; nonlinear Muskingum model; hydrograph predictions; flood routing; Muskingum model; hydrologic models; improved bat algorithm; Wilson flood; Karahan flood; flood susceptibility modeling; ANFIS; cultural algorithm; bees algorithm; invasive weed optimization; Haraz watershed; ANN-based models; flood inundation map; self-organizing map (SOM); recurrent nonlinear autoregressive with exogenous inputs (RNARX); ensemble technique; artificial neural networks; uncertainty; streamflow predictions; sensitivity; flood forecasting; extreme learning machine (ELM); backtracking search optimization algorithm (BSA); the upper Yangtze River; deep learning; LSTM network; water level forecast; the Three Gorges Dam; Dongting Lake; Muskingum model; wolf pack algorithm; parameters; optimization; flood routing; flash-flood; precipitation-runoff; forecasting; lag analysis; random forest; machine learning; flood prediction; flood forecasting; hydrologic model; rainfall–runoff, hybrid &; ensemble machine learning; artificial neural network; support vector machine; natural hazards &; disasters; adaptive neuro-fuzzy inference system (ANFIS); decision tree; survey; classification and regression trees (CART), data science; big data; artificial intelligence; soft computing; extreme event management; time series prediction; LSTM; rainfall-runoff; flood events; flood forecasting; data assimilation; particle filter algorithm; micro-model; Lower Yellow River; ANN; hydrometeorology; flood forecasting; real-time; postprocessing; machine learning; early flood warning systems; hydroinformatics; database; flood forecast; Google Maps

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038975489

ملف خارجي