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dc.contributor.authorVan Zijl, George
dc.contributor.authorVan Tol, Johan
dc.contributor.authorBouwer, DarrenDarren
dc.contributor.authorLorentz, Simon
dc.contributor.authorLe Roux, PieterPieter
dc.date.accessioned2020-03-27T09:56:08Z
dc.date.available2020-03-27T09:56:08Z
dc.date.issued2020
dc.identifier.citationVan Zij, G. et al. 2020. Combining historical remote sensing, digital soil mapping and hydrological modelling to produce solutions for infrastructure damage in Cosmo City, South Africa. Remote sensing, 12(3): #433. [https://doi.org/10.3390/rs12030433]en_US
dc.identifier.issn2072-4292 (Online)
dc.identifier.urihttp://hdl.handle.net/10394/34449
dc.identifier.urihttps://www.mdpi.com/2072-4292/12/3/433/pdf
dc.identifier.urihttps://doi.org/10.3390/rs12030433
dc.description.abstractUrbanization and hydrology have an interactive relationship, as urbanization changing the hydrology of a system and the hydrology commonly causing structural damage to the infrastructure. Hydrological modelling has been used to quantify the water causing structural impacts, and to provide solutions to the issues. However, in already-urbanized areas, creating a soil map to use as input in the modelling process is difficult, as observation positions are limited and visuals of the natural vegetation which indicate soil distribution are unnatural. This project used historical satellite images in combination with terrain parameters and digital soil mapping methods to produce an accurate (Kappa statistic = 0.81) hydropedology soil map for the Cosmo City suburb in Johannesburg, South Africa. The map was used as input into the HYDRUS 2D and SWAT hydrological models to quantify the water creating road damage at Kampala Crescent, a road within Cosmo City (using HYDRUS 2D), as well as the impact of urbanization on the hydrology of the area (using SWAT). HYDRUS 2D modelling showed that a subsurface drain installed at Kampala Crescent would need a carrying capacity of 0.3 m3·h−1·m−1 to alleviate the road damage, while SWAT modelling shows that surface runoff in Cosmo City will commence with as little rainfall as 2 mm·month−1. This project showcases the value of multidisciplinary work. The remote sensing was invaluable to the mapping, which informed the hydrological modelling and subsequently provided answers to the engineers, who could then mitigate the hydrology-related issues within Cosmo Citen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectUrban soilsen_US
dc.subjectHydropedologyen_US
dc.subjectMNLRen_US
dc.subjectMachine learningen_US
dc.subjectJohannesburgen_US
dc.subjectRemote sensingen_US
dc.titleCombining historical remote sensing, digital soil mapping and hydrological modelling to produce solutions for infrastructure damage in Cosmo City, South Africaen_US
dc.typeArticleen_US
dc.contributor.researchID33473706 - Van Zijl, George Munnik


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