Cranfield University Qualtrics

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Cranfield University Qualtrics

CatchIS (Catchment Information System) is a software decision support system developed by Cranfield University for the management of water quality at the catchment scale.  Currently, CatchIS is offered in two basic configurations; firstly as a software application and tool embedded in ArcGIS (providing the greatest flexibility), and secondly as a bureau service supplying risk assessment reports operated for you by Cranfield (offering the greatest ease of adoption).

The following survey is designed to gauge potential interest in a third configuration, as a set of web based tools and services for pesticide risk in drinking water for England and Wales.  The web based tools and data would be based on the CatchIS tools/models and ADAS data sets.

One of the datasets the tools use is provided by ADAS and is a forecast of pesticide usage and landuse characteristics on a catchment basis over the coming year, updated bi-annually with a spatial grid resolution of 1km x 1km on the ground.

For further information on CatchIS Tools see

For further information on ADAS data

CatchIS overview

An environmental management information system for catchment managers

CatchIS is a predictive software product aimed at assisting catchment managers and others such as water companies take well-informed strategic and operational business decisions for cost-effective resource management and investment planning.

CatchIS provides comprehensive risk assessments of pollution of river and groundwater potable sources from diffuse agricultural contaminants such as pesticides and nitrates With dense populations and competing land uses, the interaction of land and water is increasingly important and is recognised in UK and European laws through the integrated catchment management requirements of the Water Framework Directive. The ability to manage such complex relationships at the river catchment level is a key aim of CatchIS, which provides a set of powerful tools to address this problem.