64 citations as recorded by crossref.

1. A nature-based approach to mitigate flood risk and improve ecosystem services in Shiga, Japan W. Huang et al. 10.1016/j.ecoser.2021.101309
2. An assessment of metaheuristic approaches for flood assessment H. Pourghasemi et al. 10.1016/j.jhydrol.2019.124536
3. Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam H. Nguyen 10.2166/wcc.2022.257
4. Effectiveness of low-impact development for urban inundation risk mitigation under different scenarios: a case study in Shenzhen, China J. Wu et al. 10.5194/nhess-18-2525-2018
5. Urban pluvial flood risk assessment – data resolution and spatial scale when developing screening approaches on the microscale R. Löwe & K. Arnbjerg-Nielsen 10.5194/nhess-20-981-2020
6. Exploring the Optimal Cost-Benefit Solution for a Low Impact Development Layout by Zoning, as Well as Considering the Inundation Duration and Inundation Depth J. Wu et al. 10.3390/su12124990
7. Development trajectory of an integrated framework for the mitigation of future flood risk: results from the FloodLand project I. Saadi et al. 10.1080/19427867.2016.1256120
8. Impacts of climate change on future flood damage on the river Meuse, with a distributed uncertainty analysis S. Detrembleur et al. 10.1007/s11069-015-1661-6
9. Quantitative flood hazard assessment methods: A review A. Maranzoni et al. 10.1111/jfr3.12855
10. Using hydro‐morphological assessment parameters to estimate the flood‐induced vulnerability of watercourses ‐ a methodological approach across three spatial scales in Germany and the Czech Republic S. Garack & R. Ortlepp 10.1002/rra.3921
11. Framework for considering the interactions between climate change, socio-economic development and land use planning in the assessment of future flood risk E. Hamers et al. 10.1016/j.envsoft.2023.105886
12. Reducing Hydro-Meteorological Risk by Nature-Based Solutions: What Do We Know about People’s Perceptions? S. Han & C. Kuhlicke 10.3390/w11122599
13. Assessing 40 Years of Flood Risk Evolution at the Micro-Scale Using an Innovative Modeling Approach: The Effects of Urbanization and Land Planning T. Lazzarin et al. 10.3390/geosciences13040112
14. Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process R. Latif & J. He 10.3390/atmos16010022
15. The dynamics of land use/land cover change modeling and their implication for the flood damage assessment in the Tondano watershed, North Sulawesi, Indonesia F. Yulianto et al. 10.1007/s40808-016-0100-3
16. Procedural generation of flood-sensitive urban layouts A. Mustafa et al. 10.1177/2399808318812458
17. Threats of climate and land use change on future flood susceptibility P. Roy et al. 10.1016/j.jclepro.2020.122757
18. Modélisation hydraulique détaillée d'inondations extrêmes sur un tronçon transnational de la Meuse B. Dewals et al. 10.1051/lhb/20150022
19. Hydrodynamics of long-duration urban floods: experiments and numerical modelling A. Arrault et al. 10.5194/nhess-16-1413-2016
20. Comparing Expert and Local Community Perspectives on Flood Management in the Lower Mono River Catchment, Togo and Benin E. Parkoo et al. 10.3390/w14101536
21. Urbanization vs. climate drivers: investigating changes in fluvial floods in Poland N. Venegas-Cordero et al. 10.1007/s00477-024-02717-z
22. Geography, urban geomorphology and sustainability M. Thornbush 10.1111/area.12218
23. Formation, breaching and flood consequences of a landslide dam near Bujumbura, Burundi L. Nibigira et al. 10.5194/nhess-18-1867-2018
24. Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India S. Das 10.1016/j.rsase.2019.02.006
25. Flood Risk Evaluation in Urban Spaces: The Study Case of Tormes River (Salamanca, Spain) M. Criado et al. 10.3390/ijerph16010005
26. Urban flood modeling using deep-learning approaches in Seoul, South Korea X. Lei et al. 10.1016/j.jhydrol.2021.126684
27. Impact of forecasted land use changes on flood risk in the Polish Carpathians M. Szwagrzyk et al. 10.1007/s11069-018-3384-y
28. Urban growth modeling for the assessment of future climate and disaster risks: approaches, gaps and needs A. Reimuth et al. 10.1088/1748-9326/ad1082
29. Flood subsidence susceptibility mapping using persistent scatterer SAR interferometry technique coupled with novel metaheuristic approaches from Jeddah, Saudi Arabia S. Abba et al. 10.1007/s00521-024-09909-2
30. Environmental Inequalities in Flood Exposure: A Matter of Scale C. Poussard et al. 10.3389/frwa.2021.633046
31. Integrated machine learning methods with resampling algorithms for flood susceptibility prediction E. Dodangeh et al. 10.1016/j.scitotenv.2019.135983
32. Effectiveness of bioretention system and vegetated swale for reducing urban flood risk in equatorial region: a case study in Kuching, Malaysia K. Kuok et al. 10.1007/s40899-024-01081-8
33. Predicting future urban waterlogging-prone areas by coupling the maximum entropy and FLUS model J. Lin et al. 10.1016/j.scs.2022.103812
34. Estimating changes in flood risks and benefits of non-structural adaptation strategies - a case study from Tyrol, Austria A. Thieken et al. 10.1007/s11027-014-9602-3
35. Measuring the Effect of Stochastic Perturbation Component in Cellular Automata Urban Growth Model A. Mustafa et al. 10.1016/j.proenv.2014.11.016
36. Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm Y. Wang et al. 10.1016/j.jenvman.2019.06.102
37. Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India S. Das & A. Gupta 10.1016/j.gsf.2021.101206
38. Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM) A. Mustafa et al. 10.1016/j.landusepol.2017.10.009
39. How suitable are current approaches to simulate flood risk under future urbanization trends? V. Zwirglmaier et al. 10.1088/1748-9326/ad536f
40. Monitoring flood risk evolution: A systematic review N. Rindsfüser et al. 10.1016/j.isci.2024.110653
41. Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution H. Hong et al. 10.1016/j.scitotenv.2017.10.114
42. Assessing the operation rules of a reservoir system based on a detailed modelling chain M. Bruwier et al. 10.5194/nhess-15-365-2015
43. Delineating flood-prone areas using advanced integration of reduced-error pruning tree with different ensemble classifier algorithms E. Nohani et al. 10.1007/s11600-023-01238-7
44. Spatio-temporal dynamics of regulating ecosystem services in Europe – The role of past and future land use change J. Stürck et al. 10.1016/j.apgeog.2015.06.009
45. Analyse diachronique de la vulnérabilité par l’évaluation des dommages potentiels : quels enjeux dans le temps ? C. Heitz  et al. 10.4000/vertigo.23419
46. Numerical modelling of the transport and impact of 137Cs and 131I on the Meuse-Campine Canals after a potential nuclear accident A. Patil et al. 10.1088/1361-6498/adc1db
47. Frekans Oranı ve Shannon Entropisi Yöntemi Kullanarak Ezine Çayı Havzası Taşkın Duyarlılık Analizi (Kastamonu-Bozkurt) M. UTLU 10.46453/jader.1358845
48. Effects of spatial planning on future flood risks in urban environments A. Mustafa et al. 10.1016/j.jenvman.2018.07.090
49. Flash floods, land-use change, and risk dynamics in mountainous tourist areas: A case study of the Yesanpo Scenic Area, Beijing, China Y. Chen et al. 10.1016/j.ijdrr.2020.101873
50. Uncertainty and sensitivity of flood risk calculations for a dike ring in the south of the Netherlands H. de Moel et al. 10.1016/j.scitotenv.2013.12.015
51. Flood risk assessment for delta mega-cities: a case study of Jakarta Y. Budiyono et al. 10.1007/s11069-014-1327-9
52. Investigating the influence of three-dimensional building configuration on urban pluvial flooding using random forest algorithm J. Lin et al. 10.1016/j.envres.2020.110438
53. Linking urban structure types and Bayesian network modelling for an integrated flood risk assessment in data-scarce mega-cities V. Zwirglmaier & M. Garschagen 10.1016/j.uclim.2024.102034
54. Review of literature on decision support systems for natural hazard risk reduction: Current status and future research directions J. Newman et al. 10.1016/j.envsoft.2017.06.042
55. Assessment of Urban Infrastructures Exposed to Flood Using Susceptibility Map and Google Earth Engine H. Pourghasemi et al. 10.1109/JSTARS.2020.3045278
56. River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India S. Das & G. Scaringi 10.1007/s11069-021-04927-y
57. Risk Assessment and Mapping of Flash Flood Vulnerable Zones in Arid Region, Fujairah City, UAE-Using Remote Sensing and GIS-Based Analysis P. Subraelu et al. 10.3390/w15152802
58. Assessing the influence of human activities on flash flood susceptibility in mountainous regions of Vietnam D. Hoang & Y. Liou 10.1016/j.ecolind.2023.111417
59. Influence of urban pattern on inundation flow in floodplains of lowland rivers M. Bruwier et al. 10.1016/j.scitotenv.2017.11.325
60. Flood risk (d)evolution: Disentangling key drivers of flood risk change with a retro-model experiment A. Zischg et al. 10.1016/j.scitotenv.2018.05.056
61. Quantitative micro-scale flood risk assessment in a section of the Trotuș River, Romania R. Țîncu et al. 10.1016/j.landusepol.2019.02.040
62. Investigating the impact of river floods on travel demand based on an agent-based modeling approach: The case of Liège, Belgium I. Saadi et al. 10.1016/j.tranpol.2017.09.009
63. Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm A. Mustafa et al. 10.1016/j.compenvurbsys.2017.09.009
64. Flood susceptibility mapping using GIS and multi-criteria decision analysis: A case of Dodoma region, central Tanzania M. Msabi & M. Makonyo 10.1016/j.rsase.2020.100445