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Sachet Siwakoti, Andrew Binns, Andrea Bradford, Hossein Bonakdari and Bahram Gharabaghi
Permeable Interlocking Concrete Paver (PICP) systems provide onsite stormwater management by detaining runoff and removing contaminants. However, a major problem with PICPs is the significant maintenance cost associated with their clean-out to restore th...
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Clara Letessier, Jean Cardi, Antony Dussel, Isa Ebtehaj and Hossein Bonakdari
Given that the primary cause of flooding in Ontario, Canada, is attributed to spring floods, it is crucial to incorporate temperature as an input variable in flood prediction models with machine learning algorithms. This inclusion enables a comprehensive...
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Ali Ashrafian, Naser Safaeian Hamzehkolaei, Ngakan Ketut Acwin Dwijendra and Maziar Yazdani
There has been a significant increase in construction and demolition (C&D) waste due to the growth of cities and the need for new construction, raising concerns about the impact on the environment of these wastes. By utilising recycled C&D waste,...
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Azam Kadirhodjaev, Fatemeh Rezaie, Moung-Jin Lee and Saro Lee
Landslides can cause considerable loss of life and damage to property, and are among the most frequent natural hazards worldwide. One of the most fundamental and simple approaches to reduce damage is to prepare a landslide hazard map. Accurate prediction...
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Sooyoul Kim, Hajime Mase, Nguyen Ba Thuy, Masahide Takeda, Cao Truong Tran and Vu Hai Dang
The current study developed storm surge hindcast/forecast models with lead times of 5, 12, and 24 h at the Sakaiminato port, Tottori, Japan, using the group method of data handling (GMDH) algorithm. For training, local meteorological and hydrodynamic dat...
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Mingxiang Cai, Mohammadreza Koopialipoor, Danial Jahed Armaghani and Binh Thai Pham
Assessing the behavior of earth dams under dynamic loads is one of the most significant problems with the design of such large structures. The purpose of this study is to provide new models for predicting dam dispersion in real earthquake conditions. In ...
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Roberto Luís da Silva Carvalho,Angel Ramon Sanchez Delgado
A busca por metodologias que possam aprimorar o processo de predição de variáveis climáticas, para uma determinada região, contribui para o desenvolvimento em diversas áreas do conhecimento, seja na identificação de eventos extremos climáticos ou na prev...
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Pouya Aghelpour, Babak Mohammadi, Seyed Mostafa Biazar, Ozgur Kisi and Zohreh Sourmirinezhad
Precipitation deficit can affect different natural resources such as water, soil, rivers and plants, and cause meteorological, hydrological and agricultural droughts. Multivariate drought indexes can theoretically show the severity and weakness of variou...
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Mosbeh R. Kaloop, Pijush Samui, Mohamed Shafeek and Jong Wan Hu
The characteristics of fresh and hardened self-compacting concrete (SCC) are an essential requirement for construction projects. Moreover, the sensitivity of admixture contents of SCC in these properties is highly impacted by that cost. The current study...
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Abinash Mohanta, Kanhu Charan Patra and Bibhuti Bhusan Sahoo
Estimating Manning?s roughness coefficient (??)
(
n
)
is one of the essential factors in predicting the discharge in a stream. Present research work is focused on prediction of Manning?s ??
n
in meandering compound channels by using the Group Method of...
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