A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Streamflow forecast model using ANN
Assam is one of the highly flood-affected states in India, mostly by river Brahmaputra and its territories. Millions of people become homeless, jobless and face a life threat, thousands lose their lives during floods. This article presents a flood monitoring and warning system using artificial neural networks (ANN) and embedded systems. Sensor nodes communicate with a cloud server to transmit real-time data, aiding in flood prediction. An ANN, trained on a decade of data from Sonitpur district in Assam, predicts flood probabilities. The ANN accurately mimics rainfall data with 97-98% accuracy by considering temperature, humidity, and rainfall. It correlates these factors to determine water levels and predict flood probabilities. The system monitors environmental conditions and flood likelihood based on past data, displaying real-time information on temperature, humidity, rainfall, and water levels.
Streamflow forecast model using ANN
Assam is one of the highly flood-affected states in India, mostly by river Brahmaputra and its territories. Millions of people become homeless, jobless and face a life threat, thousands lose their lives during floods. This article presents a flood monitoring and warning system using artificial neural networks (ANN) and embedded systems. Sensor nodes communicate with a cloud server to transmit real-time data, aiding in flood prediction. An ANN, trained on a decade of data from Sonitpur district in Assam, predicts flood probabilities. The ANN accurately mimics rainfall data with 97-98% accuracy by considering temperature, humidity, and rainfall. It correlates these factors to determine water levels and predict flood probabilities. The system monitors environmental conditions and flood likelihood based on past data, displaying real-time information on temperature, humidity, rainfall, and water levels.
Streamflow forecast model using ANN
Sonowal, Durlav (author) / Saharia, Trinayan (author) / Baruah, Ratul Kumar (author) / Goswami, Rupam (author)
Journal of Applied Water Engineering and Research ; 12 ; 311-321
2024-07-02
11 pages
Article (Journal)
Electronic Resource
English
Development of Exceedance Probability Streamflow Forecast
| British Library Online Contents | 2001
Forecast-skill-based simulation of streamflow forecasts
| British Library Online Contents | 2014
TECHNICAL PAPERS - Development of Exceedance Probability Streamflow Forecast
| Online Contents | 2001
Evaluation of a Distributed Streamflow Forecast Model at Multiple Watershed Scales
| DOAJ | 2020
Estimating Winter Streamflow Using Conceptual Streamflow Model
| British Library Online Contents | 2000