Modeling of water scarcity for spatial analysis using Water Poverty Index and fuzzy-MCDM technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computers in Earth Sciences,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s40808-023-01884-2.pdf
Reference85 articles.
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2. Alcamo J (2019) Water quality and its interlinkages with the sustainable development goals. Curr Opin Environ Sustain 36:126–140. https://doi.org/10.1016/j.cosust.2018.11.005
3. Allen A, Hofmann P (2017) Relational trajectories of urban water poverty in Lima and Dar es Salaam. Women, urbanization and sustainability. Palgrave Macmillan UK, London, pp 93–117. https://doi.org/10.1057/978-1-349-95182-6_5
4. Alqatarneh G, Al-Zboon KK (2022) Water poverty index: a tool for water resources management in Jordan. Water Air Soil Pollut. https://doi.org/10.1007/s11270-022-05892-3
5. Ayağ Z, Samanlioglu F (2020) Fuzzy AHP-GRA approach to evaluating energy sources: a case of Turkey. Int J Energy Sect Manag 14(1):40–58. https://doi.org/10.1108/ijesm-09-2018-0012
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