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Integrated Water Resource Management

  • Integrated Water Resource Management

As defined by the Global Water Partnership, integrated water resource management is a process which promotes the coordinated development and management of water, land, and related resources in order to maximize the resultant economic and social welfare in an equitable manner without compromising the sustainability of vital ecosystems. Resources available within this theme provide guidance on how to conserve and restore watersheds, reduce pollution, adapt to climate change and reduce risks from floods and droughts.

Capacity Building and Training

Climate

Coastal Resilience

Floods

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Groundwater

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Institutional Structures and Management

Monitoring and Evaluation

River Management

Pollution and Water Quality

Water Supply and Scarcity

Watershed Management and Restoration

Integrated Water Resource Management Resources

HydroDesktop

Consortium of Universities for the Advancement of Hydrologic Science, Inc.
HydroDesktop is a free and open source GIS enabled desktop application that helps you search for, download, visualize, and analyze hydrologic and climate data registered with the CUAHSI Hydrologic Information System. HydroDesktop is a free software tool for finding time series of water and climate...Read more

WaterML R Package

Published: 
February 17, 2016
Consortium of Universities for the Advancement of Hydrologic Science, Inc.
WaterML R Package Is a package in the CRAN library that enables users to retrieve and analyze data from the CUAHSI Water Data Center inside an R environment. For more information, including a tutorial, visit the CRAN Library. Read more

HydroClient

Published: 
January 1, 2015
Consortium of Universities for the Advancement of Hydrologic Science, Inc.
HydroClient is a free web application for searching for, viewing, and downloading environmental time series data submitted by researchers around the world and maintained by CUAHSI's Water Data Center (https://www.cuahsi.org/wdc). Users can search for data by type, location, data source (e.g. U...Read more
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