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The purpose of this dataset is to identify and compare hazardous materials risk levels across local municipalities in KwaZulu‑Natal. The layer is intended for use in:
Disaster Management Plans (DMPs)
Risk profiling and prioritisation
Spatial dashboards and reporting
Emergency preparedness and response planning |
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The purpose of this dataset is to identify and compare hazardous materials risk levels across local municipalities in KwaZulu‑Natal. The layer is intended for use in:
Disaster Management Plans (DMPs)
Risk profiling and prioritisation
Spatial dashboards and reporting
Emergency preparedness and response planning |
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Produced by SRK Consulting using ArcGIS Pro. |
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<div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;">This dataset represents a local‑municipality‑level hazardous materials (Hazmat) risk layer for KwaZulu‑Natal (KZN), South Africa. The layer was developed by integrating multiple spatial risk factors related to hazardous materials and waste, including land use, proximity to hospitals, and wastewater treatment works. A weighted spatial analysis was applied to generate a combined Hazmat risk surface, which was subsequently summarised and associated with local municipal boundaries. The dataset supports disaster risk assessment, planning, and decision‑making, particularly for emergency preparedness and hazardous materials management.</div><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"> </div><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><h2><strong>Process Steps</strong></h2><h3><strong>1. Weighted Hazard Analysis</strong></h3><p>A weighted sum analysis was performed using ArcGIS Pro Spatial Analyst to combine three reclassified raster layers representing Hazmat‑related risk factors:</p><ul><li><strong>Reclassified land‑use risk layer</strong> (weight: 40%)</li><li><strong>Reclassified hospital proximity risk layer</strong> (weight: 25%)</li><li><strong>Reclassified wastewater treatment works (WWTW) risk layer</strong> (weight: 35%)</li></ul><p>Each input raster represented relative hazard intensity and was standardised prior to combination. The weighted sum operation produced a composite raster representing the cumulative hazardous materials risk score for each location.</p><p> </p><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><h2><strong>Hazard Classification</strong></h2><p>Hazard scores were classified on a relative ordinal scale, where higher values indicate greater potential hazardous materials risk. Municipalities with the highest scores represent areas with concentrated industrial activity, hazardous waste handling facilities, medical facilities, and associated infrastructure.</p></div></div> |
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<div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><ul><li>The dataset represents <strong>relative risk</strong>, not absolute probability or frequency of incidents.</li><li>Results are dependent on the quality, resolution, and classification of input datasets.</li><li>The analysis does not replace site‑specific risk assessments or regulatory compliance studies.</li></ul></div> |
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LDR.SRK_Hazmat_Locations |
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["Hazmat","Hazard Mapping","Disaster Risk","Municipal Risk","Emergency Planning","Hazardous Materials","Environmental Risk","KwaZulu-Natal","South Africa","GIS Analysis"] |
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en-ZA |
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