Yusuf A. Aina

Dr. Yusuf A. Aina

Yanbu Industrial College, Yanbu‘, Al Madīnah al Munawwarah, Saudi Arabia
orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 March 2019 in Water
Verified
Journal Article
Open access
PDF file
Umar Lawal DanoUmar Lawal Dano
Umar Lawal Dano
ABAbdul-Lateef Balogun
Abdul-Lateef Balogun
AMAbdul-Nasir Matori
Abdul-Nasir Matori
KYKhmaruzzaman Wan Yusouf
Khmaruzzaman Wan Yusouf
Ismaila Rimi AbubakarIsmaila Rimi Abubakar
Ismaila Rimi Abubakar
Biswajeet PradhanBiswajeet Pradhan
Biswajeet Pradhan
Understanding factors associated with flood incidence could facilitate flood disaster control and management. This paper assesses flood susceptibility of Perlis, Malaysia for reducing and managing their impacts on people and the environment. The study used an integrated approach that combines geographic information system (GIS), analytic network process (ANP), and remote sensing (RS) derived variables for flood susceptibility assessment and mapping. Based on experts’ opinion solicited via ANP survey questionnaire, the ANP mathematical model was used to calculate the relative weights of the various flood influencing factors. The ArcGIS spatial analyst tools were used in generating flood susceptible zones. The study found zones that are very highly susceptible to flood (VHSF) and those highly susceptible to flood (HSF) covering 38.4% (30,924.6 ha) and 19.0% (15,341.1 ha) of the study area, respectively. The results were subjected to one-at-a-time (OAT) sensitivity analysis to verify their stability, where 6 out of the 22 flood scenarios correlated with the simulated spatial assessment of flood susceptibility. The findings were further validated using real-life flood incidences in the study area obtained from satellite images, which confirmed that most of the flooded areas were distributed over the VHSF and HSF zones. This integrated approach enables network model structuring, and reflects the interdependences among real-life flood influencing factors. This accurate identification of flood prone areas could serve as an early warning mechanism. The approach can be replicated in cities facing flood incidences in identifying areas susceptible to flooding for more effective flood disaster control.

1 May 2021 in Geoscience Frontiers
Verified
Journal Article
Open access
ABAbdul-Lateef Balogun
Abdul-Lateef Balogun
Fatemeh RezaieFatemeh Rezaie
Fatemeh Rezaie
QPQuoc Bao Pham
Quoc Bao Pham
LGLjubomir Gigović
Ljubomir Gigović
Siniša DrobnjakSiniša Drobnjak
Siniša Drobnjak
SLSaro Lee
Saro Lee


18 January 2024 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Walter Leal FilhoWalter Leal Filho
Walter Leal Filho
Thais DibbernThais Dibbern
Thais Dibbern
Maria Alzira Pimenta DinisMaria Alzira Pimenta Dinis
Maria Alzira Pimenta Dinis
ECEvandro Coggo Cristofoletti
Evandro Coggo Cristofoletti
MMMarcellus Mbah
Marcellus Mbah
YAYusuf A. Aina
Yusuf A. Aina

19 May 2019 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
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KMKarim Malik
Karim Malik
Syed RahmanSyed Rahman
Syed Rahman
AKAbu Nasser Khondaker
Abu Nasser Khondaker
Ismaila Rimi AbubakarIsmaila Rimi Abubakar
Ismaila Rimi Abubakar
YAYusuf A. Aina
Yusuf A. Aina
Md Arif HasanMd Arif Hasan
Md Arif Hasan

27 August 2024 in Nature Cities
Verified
Journal Article
Open access
PDF file
Abdulaziz I. AlmulhimAbdulaziz I. Almulhim
Abdulaziz I. Almulhim
Ayyoob SharifiAyyoob Sharifi
Ayyoob Sharifi
YAYusuf A. Aina
Yusuf A. Aina
SAShakil Ahmad
Shakil Ahmad
LMLuca Mora
Luca Mora
Ismaila Rimi AbubakarIsmaila Rimi Abubakar
Ismaila Rimi Abubakar
The Sustainable Development Goal (SDG) 11 underscores the imperative of creating inclusive, safe, resilient and sustainable cities and communities by 2030. Here we employ bibliometric techniques to assess the evolving landscape of SDG11 research. Using a comprehensive dataset of over 21,000 scholarly publications, we investigate publication trends, thematic focus areas, authorship patterns, keyword co-occurrences and citation networks related to SDG11 research. The results reveal a consistent increase in research output, reflecting the growing global interest in urban sustainability studies. We identify influential authors, organizations and countries shaping the research landscape, highlighting existing global collaborative networks and emerging research hubs. Core thematic areas emphasize critical topics and interdisciplinary connections. Citation networks underscore the impacts of disseminating research outputs, including seminal works. This study offers insights for policymakers, academics and practitioners to align their collective efforts toward sustainable, inclusive and climate-resilient urban development. Moreover, it advances SDG11 by noting opportunities for further research, knowledge dissemination and international collaboration.