A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant-Reference-Cited by-同舟云学术

A hybrid GIS-MCDM approach for multi-level risk assessment and corresponding effective criteria in optimal solar power plant

Published:2022-07-04 Issue:56 Volume:29 Page:84661-84674
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Mokarram Marzieh,Pham Tam Minh^ORCID,Khooban Mohammad Hassan

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-022-21734-5.pdf

Reference44 articles.

1. Ahmadi N (2020) A hybrid intelligent approach for image segmentation and feature extraction using fuzzy clustering, lattice Boltzmann and GLDM techniques. J Soft Comput Dec Sup Syst 7:1–14

2. Asakereh A, Soleymani M, Sheikhdavoodi MJ (2017) A GIS-based fuzzy-AHP method for the evaluation of solar farms locations: case study in Khuzestan province, Iran. Sol Energy 155:342–353. https://doi.org/10.1016/j.solener.2017.05.075

3. Bogdanovic D, Nikolic D, Ilic I (2012) Mining method selection by integrated AHP and PROMETHEE method. An Acad Bras Cienc 84:219–233. https://doi.org/10.1590/S0001-37652012000100023

4. Brockway PE, Owen A, Brand-Correa LI, Hardt L (2019) Estimation of global final-stage energy-return-on-investment for fossil fuels with comparison to renew energy sources. Nat Energy 4(7):612–621. https://doi.org/10.1038/s41560-019-0425-z

5. Chen C, Pinar M, Stengos T (2021) Determinants of renewable energy consumption: importance of democratic institutions. Renew Energy 179:75–83. https://doi.org/10.1016/j.renene.2021.07.030

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