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Showing 6 of 6 academic articles

Estimating the Intensity Equations for Rain Intensity Frequency Curves (Mosul /Iraq)

Danya N. Hussein, Shatha H. D. AL-Zakar, Abdulwahab Mohammad Yonis • Tikrit Journal of Engineering Sciences (2023)

The relationship between the rainfall intensity, duration, and frequency (IDF) is widely used in water resources engineering in designing hydraulic structures, such as culverts and sewage systems, and for reducing and controlling floods. In...

DOAJ Open Access (DOAJ) DOI: 10.25130/tjes.30.3.5

Comparison of Neighborhood-Scale, Residential Property Flood-Loss Assessment Methodologies

Rubayet Bin Mostafiz, Carol J. Friedland, Md Asif Rahman, Robert V. Rohli et al. • Frontiers in Environmental Science (2021)

Leading flood loss estimation models include Federal Emergency Management Agency’s (FEMA’s) Hazus, FEMA’s Flood Assessment Structure Tool (FAST), and (U.S.) Hydrologic Engineering Center’s Flood Impact Analysis (HEC-FIA), with each requirin...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2021.734294

Determination of the cost-benefit efficient interval for sponge city construction by a multi-objective optimization model

Changmei Liang, Changmei Liang, Changmei Liang, Changmei Liang et al. • Frontiers in Environmental Science (2023)

The cost-benefit is a key factor when selecting an appropriate sponge city construction scheme. The research of applying intelligent technology to find cost-benefit efficient planning and construction of sponge city is urgently required. Th...

DOAJ Open Access (DOAJ) DOI: 10.3389/fenvs.2022.1072505

Prioritization of Surface Runoff Management Scenarios Using TOPSIS Method in Different Weighting Conditions (Case Study: Bojnord City)

Raziye Izanloo, Vahedberdi Sheikh • آب و فاضلاب (2019)

In the past decades, urban development and the increase in densely populated urban areas have led to expansion of the impervious surfaces. This resulted in an increase in the volume and peak discharge of runoff. To face the intensified urba...

DOAJ Open Access (DOAJ) DOI: 10.22093/wwj.2017.81822.2381

Ensembles machine learning for short duration rainfall intensity forecasting

Susilowati, Aprizal, Dyah Indriana Kusumastuti • Discover Artificial Intelligence (2026)

Abstract This study introduces an ensemble machine learning (EML) framework to enhance short-duration rainfall-intensity prediction under limited-data conditions. By integrating multiple base learners within a stacking architecture, the pro...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44163-026-01772-5