An integrated approach of support vector machine (SVM) and weight of evidence (WOE) techniques to map groundwater potential and assess water quality.

Autor: Riaz MT; Institute of Earth Science, University of Silesia, International Environmental Doctoral School, ul. Będzi´nska 60, Sosnowiec, 41-200, Poland.; Institute of Geology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, Pakistan., Riaz MT; Institute of Geology, King Abdullah Campus, University of Azad Jammu & Kashmir, Muzaffarabad, Pakistan., Rehman A; College of Geography and Environmental Science/Key Research Institute of Yellow River Civilization and Sustainable Development and Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, PR China., Bindajam AA; Department of Architecture, College of Architecture and Planning , King Khalid University, Abha 61411, Saudi Arabia., Mallick J; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia., Abdo HG; Geography Department, Faculty of Arts and Humanities, Tartous University, Tartous, Syria. Hazemabdo@tartous-univ.edu.sy.

Publikováno v: Scientific reports [Sci Rep] 2024 Oct 31; Vol. 14 (1), pp. 26186. Date of Electronic Publication: 2024 Oct 31.

Unveiling urban air quality dynamics during COVID-19: a Sentinel-5P TROPOMI hotspot analysis.

Autor: Mathew A; Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India., Shekar PR; Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India., Nair AT; Department of Applied Sciences and Humanities, National Institute of Advanced Manufacturing Technology, Ranchi, Jharkhand, 834003, India., Mallick J; Department of Civil Engineering, College of Engineering and Planning, King Khalid University, Abha, Kingdom of Saudi Arabia., Rathod C; Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu, 620015, India., Bindajam AA; Department of Architecture, College of Architecture and Planning, King Khalid University, Abha, 61411, Saudi Arabia., Alharbi MM; Ministry of Environment, Water and Agriculture, Saudi Irrigation Organization, Riyadh, Kingdom of Saudi Arabia., Abdo HG; Geography Department, Faculty of Arts and Humanities, Tartous University, P.O. Box 2147, Tartous, Syria. hazemabdo@tartous-univ.edu.sy.

Publikováno v: Scientific reports [Sci Rep] 2024 Sep 16; Vol. 14 (1), pp. 21624. Date of Electronic Publication: 2024 Sep 16.

Evaluating the impact of urbanization on the urban heat islands through integrated radius and non-linear regression approach.

Autor: Bindajam AA; Department of Architecture, College of Architecture and Planning, King Khalid University, Abha, Kingdom of Saudi Arabia., Hang HT; Department of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, India. hlhangstac@gmail.com., Alshayeb MJ; Department of Architecture, College of Architecture and Planning, King Khalid University, Abha, Kingdom of Saudi Arabia., Shohan AAA; Department of Architecture, College of Architecture and Planning, King Khalid University, Abha, Kingdom of Saudi Arabia., Mallick J; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Jul; Vol. 31 (31), pp. 44120-44135. Date of Electronic Publication: 2024 Jun 27.

Applying deep learning to manage urban ecosystems in arid Abha, Saudi Arabia: Remote sensing-based modelling for ecological condition assessment and decision-making.

Autor: Alqadhi S; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia., Bindajam AA; Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia., Mallick J; Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia., Talukdar S; Urban Environmental & Remote Sensing Division, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India., Rahman A; Urban Environmental & Remote Sensing Division, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India.

Publikováno v: Heliyon [Heliyon] 2024 Feb 14; Vol. 10 (4), pp. e25731. Date of Electronic Publication: 2024 Feb 14 (Print Publication: 2024).

Assessment of long-term mangrove distribution using optimised machine learning algorithms and landscape pattern analysis.

Autor: Bindajam AA; Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia., Mallick J; Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box 394, Abha, 61411, Kingdom of Saudi Arabia. jmallick@kku.edu.sa., Talukdar S; Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, India., Shohan AAA; Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia., Alshayeb MJ; Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia.

Publikováno v: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2023 Jun; Vol. 30 (29), pp. 73753-73779. Date of Electronic Publication: 2023 May 17.