Assessing land use changes’ effect on river water quality in the Dez Basin using land change modeler
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-11265-y.pdf
Reference72 articles.
1. Abdovis Sabdovis, S., Sedghi, H., Hassonizadeh, H., & Babazadeh, H. (2020). The quality study and simulation by Qual2k model in Dez River, Iran. Irrigation Sciences and Engineering, 43(3), 71–85. https://doi.org/10.22055/jise.2018.25434.1752
2. Al-sharif, A. A. A., & Pradhan, B. (2014). Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS. Arabian Journal of Geosciences, 7(10), 4291–4301. https://doi.org/10.1007/s12517-013-1119-7
3. Araya, Y. H., & Cabral, P. (2010). Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Portugal. Remote Sensing, 2(6), 1549–1563. https://doi.org/10.3390/rs2061549
4. Ayele, G., Hayicho, H., & Alemu, M. (2019). Land use land cover change detection and deforestation modeling. In Delomena District of Bale Zone, Ethiopia. Journal of Environmental Protection, 10, 532–561. https://doi.org/10.4236/jep.2019.104031
5. Azari, M., Tayyebi, A., Helbich, M., & Reveshty, M. A. (2016). Integrating cellular automata, artificial neural network, and fuzzy set theory to simulate threatened orchards: Application to Maragheh, Iran. Giscience & Remote Sensing, 53(2), 183–205. https://doi.org/10.1080/15481603.2015.1137111
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