Groundwater pollution risk in Africa (2016)

Groundwater pollution risk is determined both by the intrinsic vulnerability of the aquifer and the existence of potentially polluting activities at the soil surface. This raster has a resolution of 15*15 km. It was generated by combining a groundwater vulnerability model (based on the DRASTIC method) with land use/land cover (from the GlobCoverdatat set) using an additive model. For more information, visit: http://www.sciencedirect.com/science/article/pii/S0048969715311189

Data e Risorse

Campo Valore
access_constraints ["Unless otherwise specified, no restriction applies."]
bbox-east-long 180
bbox-north-lat 90
bbox-south-lat -90
bbox-west-long -180
contact-email meyer_chloe@yahoo.com
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2017-03-31T13:07:00Z"}]
graphic-preview-description Thumbnail for 'Groundwater pollution risk in Africa (2016)'
graphic-preview-file http://ihp-wins.unesco.org/uploaded/thumbs/layer-b1897d80-04ca-11e7-8719-005056bf7531-thumb.png?v=e581beef
graphic-preview-type image/png
guid b1897d80-04ca-11e7-8719-005056bf7531
licence []
metadata-date 2020-12-10T20:08:26Z
progress completed
resource-type dataset
responsible-party [{"name": "UNESCO-IHP", "roles": ["originator"]}]
spatial {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}
spatial-reference-system 4326
spatial_harvester true
temporal-extent-begin 2016-01-01T11:53:00+00:00
temporal-extent-end 2016-12-31T11:53:00+00:00
Tag
  • africa
  • amerigeo
  • amerigeoss
  • exposure
  • geo
  • geoss
  • global
  • groundwater
  • pollution
  • risk
  • sdg
  • unesco
  • water
isopen False
metadata_created 2025-11-24T19:29:45.758692
metadata_modified 2025-11-24T19:29:45.758696
notes Groundwater pollution risk is determined both by the intrinsic vulnerability of the aquifer and the existence of potentially polluting activities at the soil surface. This raster has a resolution of 15*15 km. It was generated by combining a groundwater vulnerability model (based on the DRASTIC method) with land use/land cover (from the GlobCoverdatat set) using an additive model. For more information, visit: http://www.sciencedirect.com/science/article/pii/S0048969715311189
num_resources 14
num_tags 13
title Groundwater pollution risk in Africa (2016)