Conference proceedings

Displaying 1 - 6 of 6 in prediction (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Trends in hydrologic prediction for the design of hydraulic projects

(Corresponding) Daniil E., Michas S.
Topic: 
Estimation and prediction under past and future conditions (climate, population, land use change)
Estimation and prediction of runoff and related design discharges under past and future conditions are key elements for the design of flood defense, watercourse demarcation, urban stormwater, road drainage systems. Ministry of Infrastructure and Transportation, Greece, is in the process of...Read more
Keywords: 
hydrologic prediction, peak discharge, design guidelines, hydraulic projects
Paper ID: 
cest2019_00298

Improved LC/LU maps and flood models through crowdsourced information

(Corresponding) Tsiakos V., (Corresponding) Krommyda M., Tsertou A., Amditis A., Jonoski A., Popescu I., Assumpção T., Kopsinis Y.
Topic: 
Lakes, rivers, estuaries and ecosystem health
Flood risk prediction has been traditionally based on models that are developed from time-series of data collected over long periods of time from expensive and hard to maintain in situ sensors available only in specific areas. Scent is a EU project which provides an integrated toolbox of smart...Read more
Keywords: 
LC/LU maps. flood models, improvement, crowdsourced, platform, flood risk prediction
Paper ID: 
cest2019_00330

Prediction of Algal Bloom Occurrence in Laguna Lake, Philippines using Artificial Neural Networks (ANN)

(Corresponding) Esguerra G., Ballesteros F.
Topic: 
Lakes, rivers, estuaries and ecosystem health
Algal blooms pertain to an undesirable formation of unicellular freely-floating algal scum caused by the rapid growth of phytoplankton, which can become a hazard for the water body ecosystem. Laguna Lake serves as both a source of livelihood and water supply for the residents in the region and the...Read more
Keywords: 
algal blooms, phytoplankton counts, artificial neural networks, Laguna de Bay, water quality prediction
Paper ID: 
cest2019_00927

Comparison of regression model and artificial neural network model in noise prediction in a mixed area of Dhaka City

(Corresponding) Chowdhury V., Zarif S., Tofa T., Laskar M.
Topic: 
Environmental data analysis and modelling
The equivalent noise levels regularly exceed acceptable limits within Dhaka city, the capital of Bangladesh, especially in the mixed urban areas (where trips are generated to serve commercial, residential, and industrial demands). The study aims to assess the noise level in mixed urban areas, build...Read more
Keywords: 
Noise pollution, Equivalent noise level, Prediction model, Regression, Artificial Neural Network.
Paper ID: 
cest2021_00482

Updating hydrologic studies and the impact on hydraulic design

(Corresponding) DANIIL E., MICHAS S.
Topic: 
Estimation and prediction under past and future conditions (climate, population, land use change)
Flood events causing damages, fatalities, trigger new flood protection studies. Updated hydrologic study conforming with recent develop¬ments is required. Implementation of 2007/60/EU Directive led to Preliminary Flood Risk Assessment and Flood Risk Management Plans, establishment of related...Read more
Keywords: 
hydrologic prediction, flood protection, hydraulic design, IDFs, past and present conditions
Paper ID: 
cest2021_00575

Predicting Land Cover Map Changes in the Philippines for use in LULC-based Carbon Capture Monitoring using Deep Learning

Camaclang R., Ballesteros F., (Corresponding) Labao A.
Topic: 
Environmental data analysis and modelling
In the area of Carbon Capture and Storage (CSS), monitoring plays an important role not only to determine if there is any anomalies in the release of CO2 in the atmosphere, but also to prepare for disasters and to plan better future developments in the industrial sector, transportation sector, real...Read more
Keywords: 
Land Use and Land Cover (LULC), Land Cover Prediction, Carbon Capture and Storage, Deep Learning
Paper ID: 
cest2023_00171