20260219 14464700 1.0 ISO19115_3 002 SRK_Water_Polution_Potential 0.000 3214181.084500 3667418.948300 -3643484.870000 -3099057.782500 1 Geographic GCS_Hartebeesthoek_1994 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.6.0'><WKT>GEOGCS[&quot;GCS_Hartebeesthoek_1994&quot;,DATUM[&quot;D_Hartebeesthoek_1994&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4148]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.98315284119521e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4148</WKID><LatestWKID>4148</LatestWKID></GeographicCoordinateSystem> 150000000 5000 20260303 14010900 FALSE 20260303 14010900 XTools Pro Metadata <div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;">This dataset represents the spatial distribution of potential groundwater pollution areas, derived through a weighted multi‑criteria analysis of land cover types and pollution‑related activities. The assessment incorporates mining, settlements, agricultural land uses, and perennial water features to evaluate cumulative pollution potential. The resulting raster and municipal‑level summaries provide insight into areas where groundwater resources may be at higher risk of contamination.</div><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;">&nbsp;</div><div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><p>Potential groundwater pollution areas were identified using a weighted land‑cover–based spatial analysis. Land Cover data from the Department of Forestry, Fisheries and the Environment was used to represent pollution‑related features such as mining, settlements, agriculture, and industrial areas. Each land cover type was assigned a pollution‑potential weight based on its expected contribution to groundwater contamination.</p><p>The weighted classes were converted to raster layers and integrated in ArcGIS Pro using the Raster Calculator to produce a composite pollution‑potential surface. The resulting raster was summarised at municipal level using the Zonal Statistics as Table tool, allowing identification of municipalities with higher pollution hazard scores.</p></div> SRK_Water_Polution_Potential 2025-12-15T00:00:00 28.873480 32.944985 -26.804420 -31.082630 1 Groundwater Pollution Environmental Risk GIS Land Cover Weighted Overlay Zonal Statistics Water Resources South Africa. The purpose of this dataset is to identify and map areas with elevated potential for groundwater pollution, enabling municipalities, planners, and environmental authorities to prioritise monitoring, mitigation, and groundwater protection interventions. Prepared by: Herman Booysen, Principal GIS Scientist / Associate Partner Organisation: SRK Consulting Additional data sources: Department of Forestry, Fisheries, and the Environment (DFFE) Land Cover Dataset <div style="font-family:'Segoe UI';font-size:14px;font-style:normal;font-weight:400;line-height:20px;"><ul><li>Dataset is intended for environmental assessment and groundwater risk analysis.</li><li>Not suitable for legal boundary determination or engineering design without verification.</li><li>Users must cite the data creator and source datasets when using or publishing derived products.</li></ul></div> Esri ArcGIS 13.6.0.59527 dataset /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKKKACiiigAooooAKZJNHCAZGC5OAO5PoB3qncXrfakt4chd2JJhg hT2Xnuf89aiukMSPdebKZI0POcjHB+707dhmuWtio03yrVlKNy39ut8kMzoB1Z42VfzIxUxljVVZ pFCt0JPWqOy6/hniIPOWjJx+RFZjSJNEyxSwJNISrYTYEYjkFuufYcnPocjGONb3Q+U6Sis6xUW0 /kkxq0ibtiYABB6++c9fatGuylUVSKkiWrBRRRWggooooAKKKKACiiigAooooAKKRmCqWYgKBkk9 qXrQAUUUUAFFFFABRRSO6xozuwVVGSxOABQAtZhne9nniEnlQxsUKqPmfsSSei5yOOeOvap570bk ihYCRz951IAHtnGT0/Oqzwx3FqohZJHjPyyHB+YdeR0J7ketcOKxFlywepUUF4FhtVRAkUO4BiBj ZnoeMd8c9qiljk3paNKWVlyxlVir9Rt9PwJ5x35oikWRib5sODt2MP3an29Tgjr+FLc2W22kEM6w wD95tMYYKRzkegzg/UV5y00ZZDcGeJERDJE7uFxvUIcckLnJGQDgDH1FMs7aS1u5RHHuTyl/cMwJ QHOBn8Dx9OuKPOEpLyecqhGD7ihccjOVPAHHYc4/OR7eOxTBhFyruzPkgNjHJOeCAMfp7VWysBPB aJaFbgxorq5YhPuhTnpwOgPpzitZWDKGUgqRkEd6ybOxjSL97bxFgcKxQZK9s9ea0LQ/6Mo7KWUf QEgfyruwVS94EyRPRRRXeQFFFFABRRRQAUUUUAFFFFAEN3/x5z/9c2/lVWIizuUjVQIJjtAHAR8E 9PQj9QPU1au/+POf/rm38qqXoLWxRMGZiPK/3+qn8CM/QGuPETcKsLFJXTNGiioLi5EBVAjSStna i98dST0ArrbSV2SRyXcnnvFBEj+Xw5dyuGIBAHBzwf1HXsJfxj5brbbyejuNrf7p7/ofaqAkuFgZ t6RssmHY8gsX564+UA//AKsVo15rxs4zb3RfKWaqX80aRpE7YEhw3svfPt2z71nslrb3bKFZIVUG RQSI164OBx254x06d42cwm4NrFIYm2tvjUZGCdwBPUYAx7k1c8YpRtFbhylm4miM0R2+cjqyAINw JOOD26A9ahuWkYyPErwNHt8w+YBuXrwMEHjIBOKSW3tI0j+yLEtzK58uYncwPUnJ5PuPwpLwXSF8 mJiyqWYbl2qrZLdffsc+9cKS0sURLBMt/KtozgsBLvdyUZWBABzkkggn6Y5qgWis8fabmLzopGJ8 lcMQc5HTb/BkD8OO81tfI028XzRB3ZGIIlUFeAgYjkktu68D86swyC7uI5pFaWPyiJVEYKgtjHTO 7p+GecVpqtxDnjFy+yOKZLtCrbp5BxjnIGSO56CnxB4UeO2sEin8rAbIyTgc+4B6nr04pIWmuIbc SQTiSEAOQwBY4we+QO/4U8iGKaPzY5kuHJETb97dPu/z68epqNXoMeYIvNSCF58pgP8Avnwq4Pvj PStCwDLagMxYh35IGT8x9KbDZKsIMhPnnl5AeScfy9qsQxCGIICTyTk9yTmvSw+HlTldvoQ3cfRR RXWSFFFFABRRRQAUUVElzDJMYkfLjPGOuDg4PfB4PpRcCWiiigCG7/485/8Arm38qgljZyjI+xkb IOM9iP61Pd/8eU//AFzb+VV0lbzRHJGEYgkENkHH6+navOxzcZRaLiOBuh/y2Q44GY+v156/TH0q rC4t3ZJA5wQhnd85wMjOfr9Mn3q6SAMk4AqK3BKtJ0EjbhnrjA/wrilWnNWk7lWSEe6gjiSVpB5b /dccjpnr6VBvNr5Swussbk4TgE9T8p4H4frVYWrGFwbBhmUsxbaWZc5AHzccDHXj09JY1W5kEkaC JjiRC7F8gnOQM4Ge+PX3pWSAIZojskmJkuyhBjAGVBPzAD0yvfPTrUUL3drFbQu0Uau4jjDRliBt yMkEc546Corp5HLxNFtKkl5Fi4QknDdd2cAdO5wfaf7OsjJDKgtgzBo8AFmKncMsc/NkA4/U81Vk gGylbFbhrmKKRpmLFwCFKjqW4OMDPr6+uGzW80rQ21zLbuzAozKp8zYQeevHTGfc07yj53kSKHuZ HYNM8ef3eD07AdFx7+9OaIxgI0kuSwEFwGH1Ab15z2xg9qL2ArXNjPCoUOGd2RBIeOhOMbcbDhiM gH+WZHjlS9geW1WOMRsgW2lYsB1yQAM4wBgf3qlgmivYVuJ5XAZsxokh52kDIC4J59aLW5iiubgM 80rAqF3RMXC7RxjHAyDye9F2A+KBLiQyQSSwxL8u5SQZG5znPXHvznNQRXULvcI95Gt5GwUM5AHB yuBx756n36VFdNay3sjRLG83lrInmEbAxyMsD04wCfT3xTzeRLPEJmWzzC29uNrKDhcZ455IBGcZ 4pq61QG1Hf20i585FPdWYAiqqXtxLeGOJ4jHtZiSucfNtXGDyODVDfHbbFtrh7eF1d2lmHyknuN3 ViTn069aQyyQ5bz0WWIs+JT80i5J+ZRgDI6E9+3aumeKnJWjoSoo3LWWSWNjIVJDFQyqQDjrwSe+ R+FT0yGPyYEjBztUDPr70+vSimkkyAooopgFFFFAEN20qW7NF94YycZIHcgeuKz5IEjsIjCFbytr o5x0BBJ/HvitasqS3kM09uk2xMblG3IwxOc9+oOMYrixkZJKaexUexbW94HnQSxn2G8Z/wCA5/UC lW/tm53OADgkxsAD75HFIAQoBOTjk+tQRuBeTRb1JIDgd/Q/yH51zrHT6pFciGNPNduqNvghlTKp t+cjvuyDt6gf1zVmSNZF2sDjrwcEfiKgkmSG8G8hA6gFnIAPXAHPJ6/nSrdqzR/u3CPna/G0gAnO c+1c1WpOo+ZjSSIkWZzPa+YCi8bpF3MQw6Y6e2f04yWQu4mNglxnyVUmQkF8dhjpnjk46Y7nImhl WS5nkUkoFUZI479Pbkf5xUdtBHc20MzHgs0gCnjDHO0+3TPuPTip9QJnjutm0SROOhDKVJH1B4+u KqCO/iLSKEIXCKrLkhAckjBGTzjt90U+7tRHbbo3feGUAlicDIGcew/HipVtntctb/OWGXWR8bm/ vZwef89qE9AKsxSa6t5Wl3YYArEDyBzlhgkYbbx/jVi4uoXiJVZmdTlCIm5btgkY59enNLDNH5ct 0Vw7MFZeMrg4Cn35/Wm+TPdTlp/MhjVF2qrj7+SSeOvQdfyHd6degFWGKO68v+1yhulGBE+Ao5By B/FnA7n0pVFvJOHkt2+xbSAJFBQOW5OOSv4gYz2qw9wY4miuo/tARR5rooIx6svb1wM0W8E8k11b OQIjKXZ84ZlbnH8xnjAGB0zWkIyqS5UD0C2V/tEzWkKOkvzmRlMYz9cfMDyQR7+tGy4tH8lnVVkd n+0bMgktkL14POBnI4H0GuqqihVAVQMAAYAFR3MixW7s67wfl2f3iTgD8ScV6DwdNRt17kczMZUa BriEQJLGGLmV3247nc55LDt6ADmqSyOsMc1r50qYcXUiYJKgkggnAJ6jgk896WZZbKNWuXkjhj5E ca7l5OcKcEE5wBuGfQ5zTCss/nWSRXQdnLs6y7SATk5GQN2COOnIOa4EiiSSZp7GV/MkeFVLxvlQ GVe+wDJYeh4yOcdBpWVrcyv+9Z1gD7sE/wCsOc8AgEDPJH4DiodF0hVH2y5G+VzuGWyOCdrdAOh4 wAO+Mmt2u6jhkvekS5BRRRXYSFFFFABRRRQAVR1KBHEc779sZIfaxHyHrnHUA4P0zV6ggEYIyDUz ipRcWBmtaQKpaQuyKMkSSsy8eoJxUBnRlRIIWinDfu43GzIzz+GAf84p4tQl0Yrg71AHkA5xt64P qen4Ae9S3OFe3kbgLLjP1BUfqRXhzi4S5Zbmu42aO4kCbRFvRtyuWI5+mPQkdaln8koBPsK54DVL VUgJqSsUBMiYDk/d29unfPr/ACrNajIbdDNeTPMkkZcK0Y3lSVHHIB7H/wBCqwtoIyfKmlQNksM7 snjnLZPai7ikkRHh2+dE25NwyM4IPcdie9MhlluIyY5ExkqSVwyMDgjb/wDX/MVV29QIZYWFxFFP O0yNghDgNuHVuB05B6jBqWS3mUoUlkkjX70bPgn8QMnvwevqKk+yLuDmWUygECTdyM+33fTt2oNu 6gOk0jSA5+ZuG9iBwPyouBWkjjmkg+yxoJE+c5GAuOisB3yTjPQgntirDX8EYIlYxOBnYwOfoPU8 cAZzVdbkS3waGGYlV2S/uyMnsMnA45P4jHU05J2j1F/tKLHviHllX3DAJz6HPzDtjHf0bXcQsVzH FNP526NXYMryKVUjAGMnvx0qKGRY7pBYJLKI/lkJchNm04AzwecYI/E9asvczLH5q2xMfHBJ3fgo BqpJqCwzS3awSvE8SBW24DHccD8d3v6dcA1TlKL5o7gy9cX+9Y47VgZnblWG1lUDk4P5dOtZ0t5D d2oPmSSzAhlimXIHzAfMF4x6nnHPcYqd77ybkyXCgIiH/VNvCepb06D9azCzi0doZJJmT9/NHbvg csTnOcjI3cLnoMe/ROvOpvoJKw+a5tYbW5WOVp/JJLRpISjo3ODg4Xr7dPTgyWEZu9SLIZQrIGc+ YWCIf4ckdSR2J43dOKclv5iNAYfNmZw7RONrxMRgMGGQBxwe+Dznit62g8iLDNvkbl3x94/4Vph6 XM7vYTZKqqihVUKoGAAMACloor0SAooooAKKKKACiiigAooooAragD9hlkX78SmRD7jn9en41Ue1 uJY9st0CQysMRgD5SDzz6jsRTNTvJI7v7I5VIJYs7mGA4zhlDE4Bxjj0J6VUmmiW2aS2H2d3yIsP hJDnbgBeN3p36c9a83GNOaS3LiX4rrbHJ9pZEMbbC+cB+AcjP16c/jTbcG7cXTO4RWby0wBgfdOe M5zn9KkitIYJpJxks3JZznHGOD16AfkKgieTyHgtQrJGNkcoPA44Hvj2/wAccOnQstyzxQ43tgno oGWP0A5NVIYRPdyy7HWAqNu4FSXOckA8jgL6d6dLG1u6yrNJ+8YLI7YOBjA46DnHT15qVYp4iSkx lzyVl+nYjp+VLZaAI8TInz3biIfeLEA4/wB4YxVaTZJkWTys4IGUY7DzySe/B9c/iBid2muC0SoI 9hBLv8w3A5GMH2747VbovYCjMI7Mq0UjiSR1yhcuXGQDwcngenpT9kU0xuLadPNA2sc7xj0xnj8M UrQyxGWaJg8hO7aw6jsM9vTPT2p7Q295GsjxK6uuQWXqCOh/wp3AZFfQSRt5skSOo+ceYMdM5B7j HeqTyR+RAqPK1oGXC+WytgHK7W4z245JGetTW80q253wSXEBOY3XBJQ4OSCc+v4Y4qlHezCeNrPK 2Mj8Oy5AOANpDMCAME8dPSqjHsIerPLEWhfytPEpyzHcy7STnBH3S2M56AHseJpILy7uBH5kOXjM c3l5K7D3IPQ+g9/QUllpkjOSjLGmd7XEaFGkYk5yDw2R/ERj0HptwQRW0QjhQKo547nuT6n3ruo4 Zt80tiXIIYI4EKoOScsx5LH1J71JRRXoJWICiiigAooooAKKKKACiiigAooooArX0UUtqxlYoIx5 gcH7hA6/h78VgTXczmGN2LyKgmVcKG8w5wpBIz36DPAz79Oyq6MjAMrDBB7is+TR4HW12ySo9qjJ GwPrjOfXp+prnr0faardDTsVGImmVXu2UbcsT8gJzwNp/HOR6VHvIkle2u5DCD8+cFWcnopA4P0B +9T2iuC4jvzOYVVt+1flfBGDleQMZyDTzplzPsaKc20cbeZEssYclsYy3OcdT1zzz6V58cPUb5bf 5F3Q2Zg2nPLLZ3HEfmFGnwAQM8nOR+VR+eIVhSZBFLKxO+WbOxeTw2cntxx+laps3YbGuXKY5yq5 P14xj8Kfa2cdomFZ3YjBeRssQM4H4ZraGDm9JaCcjIiktokZPNkkYu+WSXbubJOAC2ePX0Gc4qW2 vHMZ8x4QQ2Arycgf73OfyrXeKOT78at/vDNPrR4FPqLmMJp3uLmRZPJK2xXdCPm3Fhxz178Db+J7 MhYSyrst7ZXkcqsEiBWCjuT2OMnGD1Hua2VsrVJFkSCNGUkgquOT3471PTjgordhzGP/AGfeL+5V 1+zH+HzANoz90YQHGPfPHWrUGlwxZ34cbtwjAwgPqF/AHnPPIxV6it4UKcHdIV2FFFFbCCiiigAo oooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACii igAooooA/9k= 20260303 0.000 Enterprise Geodatabase Feature Class 002 withheld Local Area Network Personal GeoDatabase Feature Class GCS_WGS_1984 EPSG 6.18.3(9.3.1.2) SRK_Water_Polution_Potential Feature Class 0 OBJECTID OBJECTID_1 OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 8 0 0 Feature geometry. ESRI Coordinates defining the features. CATEGORY CATEGORY String 5 0 0 CAT2 CAT2 String 254 0 0 MUNICNAME MUNICNAME String 100 0 0 CAT_B CAT_B String 150 0 0 NAMECODE NAMECODE String 254 0 0 DISTRICT DISTRICT String 25 0 0 PROVINCE PROVINCE String 50 0 0 DISTRICT_N DISTRICT_N String 100 0 0 F2 F2 String 100 0 0 WaterPolSum WaterPolSum Double 8 38 8 Zonal Statistics output representing the sum of weighted groundwater pollution raster values for each municipal polygon. WaterPolRisk WaterPolRisk Double 8 38 8 Composite groundwater pollution risk score derived by combining pollution exposure (WaterPolSum) with each municipality’s capacity to cope. Higher WaterPolSum increases risk, while higher capacity cope reduces it. WaterPolRisk_Class WaterPolRisk_Class_CLASS Integer 4 10 0 WaterPolRisk_Class_RANGE WaterPolRisk_Class_RANGE String 19 0 0 Ha Ha Double 8 38 8 Shape.STArea() Shape.STArea() Double 0 0 0 Shape.STLength() Shape.STLength() Double 0 0 0 0 ESRI ArcCatalog 9.3.0.1770 en REQUIRED: A brief narrative summary of the data set. REQUIRED: A summary of the intentions with which the data set was developed. REQUIRED: The name of an organization or individual that developed the data set. REQUIRED: The date when the data set is published or otherwise made available for release. LocalMunicipalities2011 LocalMunicipalities2011 vector digital data withheld REQUIRED: The basis on which the time period of content information is determined. REQUIRED: The year (and optionally month, or month and day) for which the data set corresponds to the ground. REQUIRED: The state of the data set. REQUIRED: The frequency with which changes and additions are made to the data set after the initial data set is completed. REQUIRED: Western-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Eastern-most coordinate of the limit of coverage expressed in longitude. REQUIRED: Northern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Southern-most coordinate of the limit of coverage expressed in latitude. REQUIRED: Reference to a formally registered thesaurus or a similar authoritative source of theme keywords. REQUIRED: Common-use word or phrase used to describe the subject of the data set. REQUIRED: Restrictions and legal prerequisites for accessing the data set. REQUIRED: Restrictions and legal prerequisites for using the data set after access is granted. Personal GeoDatabase Feature Class en FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998 local time REQUIRED: The person responsible for the metadata information. REQUIRED: The organization responsible for the metadata information. REQUIRED: The mailing and/or physical address for the organization or individual. REQUIRED: The city of the address. REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address. REQUIRED: The telephone number by which individuals can speak to the organization or individual. 20110117 ISO 19115 Geographic Information - Metadata DIS_ESRI1.0 Downloadable Data Vector Simple FALSE 0 TRUE FALSE GCS_WGS_1984 D_WGS_1984 WGS_1984 6378137.000000 298.257224 Explicit elevation coordinate included with horizontal coordinates 0.000100 Dataset copied. withheld 20090724 14491900 Dataset copied. withheld 20110517 19222900