On the performance of satellite precipitation products in riverine flood modeling: A review
V Maggioni, C Massari - Journal of hydrology, 2018 - Elsevier
This work is meant to summarize lessons learned on using satellite precipitation products for
riverine flood modeling and to propose future directions in this field of research. Firstly, the …
riverine flood modeling and to propose future directions in this field of research. Firstly, the …
A practical approach to flood hazard, vulnerability, and risk assessing and mapping for Quang Binh province, Vietnam
Flood damage is often severe and directly affects housing, transport infrastructure, industrial,
service, commercial, and land use. A flood risk assessment based on vulnerability indicators …
service, commercial, and land use. A flood risk assessment based on vulnerability indicators …
[HTML][HTML] Spatial flood susceptibility mapping using an explainable artificial intelligence (XAI) model
Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …
of people. Flood susceptibility maps can improve mitigation measures according to the …
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
Floods are one of the most damaging natural hazards causing huge loss of property,
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …
infrastructure and lives. Prediction of occurrence of flash flood locations is very difficult due …
Modeling flood susceptibility using data-driven approaches of naïve bayes tree, alternating decision tree, and random forest methods
Floods are one of the most devastating types of disasters that cause loss of lives and
property worldwide each year. This study aimed to evaluate and compare the prediction …
property worldwide each year. This study aimed to evaluate and compare the prediction …
Assessing and mapping multi-hazard risk susceptibility using a machine learning technique
HR Pourghasemi, N Kariminejad, M Amiri, M Edalat… - Scientific reports, 2020 - nature.com
The aim of the current study was to suggest a multi-hazard probability assessment in Fars
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …
New hybrids of anfis with several optimization algorithms for flood susceptibility modeling
This study presents three new hybrid artificial intelligence optimization models—namely,
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA) …
adaptive neuro-fuzzy inference system (ANFIS) with cultural (ANFIS-CA), bees (ANFIS-BA) …
A comparative study of kernel logistic regression, radial basis function classifier, multinomial naïve bayes, and logistic model tree for flash flood susceptibility mapping
Risk of flash floods is currently an important problem in many parts of Vietnam. In this study,
we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial …
we used four machine-learning methods, namely Kernel Logistic Regression (KLR), Radial …
[PDF][PDF] Kesiap siagaan masyarakat dalam penanggulangan banjir di Kota Semarang
A Findayani - Jurnal Geografi: Media Informasi Pengembangan …, 2015 - journal.unnes.ac.id
Jurnal Geografi Page 1 Jurnal Geografi Volume 12 No 1 (102 dari 114) © 2015 Universitas
Negeri Semarang ▪ Alamat Korespondensi : Gedung C1 Lantai 1FIS UNNES Kampus Sekaran …
Negeri Semarang ▪ Alamat Korespondensi : Gedung C1 Lantai 1FIS UNNES Kampus Sekaran …
Assessing social resilience of flood-vulnerable communities in Ayeyarwady Delta, Myanmar
The study aims to identify attributes of communities with high social resilience in flood-prone
areas of Myanmar. This study outlines a conceptual indicator-based framework for …
areas of Myanmar. This study outlines a conceptual indicator-based framework for …