Results 91 to 100 of about 8,202 (208)

Assessment of Rainfall‐Driven Urban Surface Water Flood Hazards Using Convolutional Neural Networks

open access: yesJournal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT Rainfall‐driven urban surface water flooding is one of the most common natural disasters that lead to traffic disruption, economic loss, and even casualties. Assessing its hazards is critical not only for flood management but also for urban and territorial planning.
Zhufeng Li   +3 more
wiley   +1 more source

Cincinnati’s SWMM Model: A Journey Through Time [PDF]

open access: yesJournal of Water Management Modeling, 2016
The Metropolitan Sewer District of Greater Cincinnati’s (MSD) SWMM model is one of the largest SWMM models in the world. In developing this model, MSD ad…
Uzair M. Shamsi   +2 more
openaire   +1 more source

Sewer Network Data Completeness: Implications for Urban Pluvial Flood Modelling

open access: yesJournal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT 2D/1D dual drainage models are one of the most useful tools for studying urban pluvial flooding. However, the accuracy of these models depends on data quality and completeness. This study assesses the effects of sewer network data completeness on the results of the 2D/1D free distribution model Iber‐SWMM.
C. Montalvo   +5 more
wiley   +1 more source

Evaluasi Sistem Drainase terhadap Genangan Air pada Ruas Jalan Malangbong-Wado di Kabupaten Garut

open access: yesJurnal Teknik Sipil
Saluran drainase dibuat untuk menangani kelebihan air akibat curah hujan yang tinggi. Pada ruas jalan Malangbong-Wado, sepanjang 50 meter, kerap terjadi genangan air dan banjir, sehingga diperlukan evaluasi untuk memastikan sistem drainase bekerja dengan
Adi Fitriyadi, Sulwan Permana
doaj   +1 more source

swmmr - an R package to interface SWMM [PDF]

open access: yesUrban Water Journal, 2019
The stormwater management model SWMM of the US EPA is widely used to analyse, design or optimise urban drainage systems. To perform advanced analysis and visualisations of model data this technical note introduces the R package swmmr. It contains functions to read and write SWMM files, initiate simulations from the R console and to convert SWMM model ...
Dominik Leutnant   +2 more
openaire   +2 more sources

NASA's Potential Contributions for Remediation of Retention Ponds Using Solar Ultraviolet Radiation and Photocatalysis [PDF]

open access: yes, 2007
This Candidate Solution uses NASA Earth science research on atmospheric ozone and aerosols data (1) to help improve the prediction capabilities of water runoff models that are used to estimate runoff pollution from retention ponds, and (2) to understand ...
Ryan, Robert E., Underwood, Lauren W.
core   +1 more source

Identification of molecular markers of delayed graft function based on the regulation of biological ageing [PDF]

open access: yes, 2016
Introduction: Delayed graft function is a prevalent clinical problem in renal transplantation for which there is no objective system to predict occurrence in advance.
Aitken, Emma   +19 more
core   +4 more sources

Integrated Machine Learning and Hydrodynamic Modeling for Agricultural Land Flood Under Climate Change Scenarios

open access: yesJournal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT Floods can cause significant damage to land, infrastructure, and individual well‐being. In the Canadian prairies, flood is a recurring natural disaster for farmers and ranchers. The flat terrain and extensive agricultural lands make the region vulnerable to flooding.
Amin Hassanjabbar   +4 more
wiley   +1 more source

Studi Alternatif Penaggulangan Genangan Berbasis Konservasi Di Sistem Drainase Oesapa-Lasiana Kota Kupang

open access: yesJurnal Teknik Pengairan, 2018
Sistem drainase berbasis konservasi merupakan konsep pengelolaan air hujan dan limpasannya pada sistem drainase perkotaan, dengan tujuan meningkatkan daya guna air, meminimalkan kerugian serta konservasi lingkungan.
Mauluddin Jamal Balak Sebandar   +2 more
doaj   +1 more source

Robust Blue‐Green Urban Flood Risk Management Optimised With a Genetic Algorithm for Multiple Rainstorm Return Periods

open access: yesJournal of Flood Risk Management, Volume 18, Issue 3, September 2025.
ABSTRACT Flood risk managers seek to optimise Blue‐Green Infrastructure (BGI) designs to maximise return on investment. Current systems often use optimisation algorithms and detailed flood models to maximise benefit–cost ratios for single rainstorm return periods.
Asid Ur Rehman   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy