Spatial distribution of waste collection points and their implications on quality of life in Mombasa County, Kenya

Wekisa, Ezra; Majale, Christine

doi:10.1016/j.jum.2020.02.003

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…This was partly because of the variation in overall soil depths, which conditioned geotechnical properties. This variation was possibly caused by impacts of different damping waste materials over the years (Wekisa and Majale, 2020). It also showed that areas with low distribution of sampling points had higher modelling uncertainties.…”

Section: Modelling Geotechnical Propertiesmentioning

confidence: 94%

Application of Machine Learning and 3D Modelling to Improve Geotechnical Site Characterization

Ng'eno,

Omuto,

Biamah

2023

Preprint

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Geotechnical investigation is an important site characterization process in engineering construction. Excavation pits and boreholes are popular geotechnical investigation methods for accessing subsurface soil and rock characteristics. Although they are accurate, they are limited to the discrete locations where tests are carried out. The demand for 3D representation has been increasing as an alternative for improved visualization of geotechnical investigations. This study developed a procedure for 3D modelling of geotechnical investigations using open-source software. It improves 3D visualization of geotechnical investigations and characterization of accuracy and uncertainty assessment. Presently, most geotechnical investigations do not regularly report uncertainty assessment despite its importance in risk analysis of the investigations. The procedure developed in this study was tested in a proposed site for construction of an Inland Container Depot where it depicted geotechnical soil properties with more than 80% accuracy on holdout samples. It was able to model both horizontal and vertical variations of the soil properties with quantification of uncertainty. More testing and wide applications are recommended.

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Section: Modelling Geotechnical Propertiesmentioning

confidence: 94%

Application of Machine Learning and 3D Modelling to Improve Geotechnical Site Characterization

Ng'eno,

Omuto,

Biamah

2023

Preprint

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“…The process through which solid waste is collected and transferred is the core of the waste management system. The placement of hauled containers is suggested in the industrial area, which experiences a huge volume of waste, and the stationary container system to be placed in the surrounding areas of the neighbourhood for commercial and residential areas (Wekisa and Majale, 2020). Furthermore, Kallel et al (2016) stated that the utilization of GIS one of the most beneficial methods to evaluate the complicated spatial situation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Afzal

Afsar

Lahori

et al. 2021

IJEEG

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Karachi has been facing various issues of municipal solid waste management. In the early 1960s, Karachi was the centre of leisure, now it has stretched out due to its increasing population. However, due to insufficient facilities and ineffective strategies, issues related to waste management are also increasing. For the problems related to waste management, the fundamental units available are municipal trash bins. In this study, 409 GPS point data of collection points of waste have been assembled from various areas of Karachi for assessment of the spatial distribution of waste bins. A spatial variation of distance between the trash bins is also identified through ArcGIS 10.3.1 cartography tool of generalization, which aggregates the points of trash bins by making polygon shape of the same distance. Globally, Geospatial techniques are used for changing the system of waste management. This is the first study that assessed the suitable distance of bins placement in the area under focus. The results revealed that there are no principles acquired by the government for the placement of trash bins with appropriate distance. In many towns of Karachi like Landhi and Korangi, bins are absent which impels people to throw their trash anywhere in the city

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Applying Circular Economy Paradigm for Preventing Marine Plastic Pollution in Kenya: Opportunities and Challenges

Atuga,

Nyakeya

2024

Circular Economy and Sustainability

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Spatial distribution of waste collection points and their implications on quality of life in Mombasa County, Kenya

Cited by 11 publications

References 4 publications

Application of Machine Learning and 3D Modelling to Improve Geotechnical Site Characterization

Application of Machine Learning and 3D Modelling to Improve Geotechnical Site Characterization

Assessment of Spatial Distribution of Waste Bins in Karachi Through GIS Techniques

Applying Circular Economy Paradigm for Preventing Marine Plastic Pollution in Kenya: Opportunities and Challenges

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