[HTML][HTML] Solar and wind energy potential under land-resource constrained conditions in the Group of Twenty (G20)

S Miyake, S Teske, J Rispler, M Feenstra - Renewable and Sustainable …, 2024 - Elsevier
Abstract The Group of Twenty (G20) represents the world's largest economies, accounted for
86% of global final electricity demand and 87% of global energy-related CO 2 emissions in …

Optimal site selection for the solar-wind hybrid renewable energy systems in Bangladesh using an integrated GIS-based BWM-fuzzy logic method

K Aghaloo, T Ali, YR Chiu, A Sharifi - Energy Conversion and Management, 2023 - Elsevier
Abstract Solar-Wind Hybrid Renewable Energy Systems (SWHRESs) provide more reliable
and efficient power than single systems and are, therefore, regarded as a promising tool for …

A GIS-based multi-criteria decision-making method for the selection of potential municipal solid waste disposal sites in Mersin, Turkey

SS Bilgilioglu, C Gezgin, O Orhan… - Environmental Science and …, 2022 - Springer
Due to rapid urbanization and the resulting rapid population increases, an important
problem for cities today is the elimination of solid waste or finding suitable places for waste …

Land suitability determination for citrus cultivation using a GIS-based multi-criteria analysis in Mersin, Turkey

O Orhan - Computers and Electronics in Agriculture, 2021 - Elsevier
Determination of suitable locations for agricultural products is an important subject to study,
as it is essential to identify optimal areas for crop productivity and sustainable farming …

Standardizing the factors used in wind farm site suitability models: A review

JJ Wimhurst, CC Nsude, JS Greene - Heliyon, 2023 - cell.com
As global wind energy capacity continues to expand, the need to site commercial wind farms
in productive, affordable, and technically feasible locations has become increasingly …

Identifying the potential soil pollution areas derived from the metal mining industry in China using MaxEnt with mine reserve scales (MaxEnt_MRS)

J Kang, M Liu, M Qu, X Guang, J Chen, Y Zhao… - Environmental …, 2023 - Elsevier
Identifying the potential soil pollution areas derived from the metal mining industry usually
requires extensive field investigation and laboratory analysis. Moreover, the previous …

[HTML][HTML] Predicting commercial wind farm site suitability in the conterminous United States using a logistic regression model

JJ Wimhurst, JS Greene, J Koch - Applied Energy, 2023 - Elsevier
Guiding wind energy sector growth through suitability analysis is a growing priority. We
present in this work a logistic regression model that predicts suitable sites for state-level and …

Flood susceptibility map** by best–worst and logistic regression methods in Mersin, Turkey

B Özay, O Orhan - Environmental Science and Pollution Research, 2023 - Springer
Flood disasters resulting from excessive water in stream beds inflict extensive damage.
Floods are caused by the expansion of cities, the erosion of riverbeds, inadequate …

Modelling tree canopy cover and evaluating the driving factors based on remotely sensed data and machine learning

A Akın, A Çilek, A Middel - Urban Forestry & Urban Greening, 2023 - Elsevier
Quantifying urban tree cover is important to ensure sustainable urban ecosystem. This study
calculates urban percent tree cover (PTC) for Bursa city, Turkey from Sentinel-2 data and …

Investigation of the importance of criteria in potential wind farm sites via machine learning algorithms

F Sari, M Yalcin - Journal of Cleaner Production, 2024 - Elsevier
Wind energy has received greater attention than other energy resources due to its superior
economics, low greenhouse gas emissions, and limitless wind resources. As a result, wind …