GOODD
Global Georeferenced Database of Dams
The GlObal geOreferenced Database of Dams (GOODD) Version 1 was developed as part of the pantropical hydrology research at King’s College London.
This global dataset of more than 38,000 dams was developed by digitising visible dams using Google Earth’s satellite imagery. It is made available to the user community in raw and unfinished form in the hope that others will contribute to its development, thus contributing to its use and utility. A version has also been published as an open access dataset in Nature Scientific Data. Access the data from our directory page.
Citations:
Mulligan, M., van Soesbergen, A. and Sáenz, L., 2020. GOODD, a global dataset of more than 38,000 georeferenced dams. Scientific Data, 7(1), pp.1-8.
GOODD (unsnapped): Mulligan, M., L. Saenz-Cruz, A. van Soesbergen, V.T. Smith, and L. Zurita. 2009. Global dams database and geowiki. Version 1. http://geodata.policysupport.org/dams. Version 1.
GOODD (snapped to WaterWorld V1): Mulligan, M., van Soesbergen, A. and Saenz, L. 2020. GOODD, a global dataset of more than 38,000 georeferenced dams. Scientific Data 7 (31).
Selected Publications:
GOODD has been used by King’s College London as input to the local and global research studies highlighted below, but also as input to the freely available Co$tingNature, WaterWorld and MENARA Policy Support Systems, providing tools for analysis of environmental impacts and opportunities associated with these dams. The following publications showcase how GOODD can be used to facilitate a range of research on dams and rivers.
Potential outcomes of multi-variable climate change on water resources in the Santa basin, Peru
an Soesbergen 2016
Water resources in the Santa Basin in the Peruvian Andes are increasingly under pressure from climate change and population increase. Impacts of temperature-driven glacier retreat on streamflow are better studied than those of precipitation changes, yet present and future water resources are mostly dependent on precipitation, which is more difficult to predict with climate models. This study combines a broad range of projections from climate models with a hydrological model (WaterWorld), showing a general trend towards an increase in water availability due to precipitation increases over the basin.
Available at Taylor & Francis.
Scenarios for tropical agriculturalisation and potential impacts of climate change, locally and along supply chains
Mulligan 2015
The aim of this paper is to examine the potential for continued agriculturalisation in the tropics and the potential impacts of this on tropical natural capital and ecosystem services. Concurrently we examine the extent to which projected climate change will drive changes in the water available to support food security, locally and along supply chains through impacts on rainfall in key agricultural areas and the implications of climate change for continued agriculturalisation.
Available at Springer Link.
Climate change and food-water supply from Africa’s drylands: local impacts and teleconnections through global commodity flows
Mulligan 2015
This article uses the WaterWorld Policy Support System, coupled with a global database for commodity flows, to examine the impacts of AR4 SRES climate change scenarios on Africa’s drylands and the commodity flows that originate from them. It shows that changes to precipitation and, to a lesser extent, temperature in Africa’s drylands can significantly affect the potential to supply water-for-food locally and internationally.
Available at Taylor & Francis.