Abstract
The Soil and Water Assessment Tool (SWAT) is a widely used hydrological model that produces several useful outputs (e.g. evapotranspiration, soil moisture, aquifer recharge, river discharge) as text files. Currently, visualizing and publishing SWAT outputs as geospatial data requires a lot of time and repetitive processing steps. Moreover, data used and produced are often not interoperable and restricted to software like ArcGIS or MapWindow. Consequently, integrating SWAT outputs with other datasets and/or models is difficult. To solve these issues, we propose an innovative, scalable and interoperable framework allowing (1) the automatization of post-processing tasks using orchestrated Web Processing Services (WPS) and (2) the publishing of SWAT outputs using interoperable data services (e.g Web Feature Service, Web Map Service). The proposed framework simplifies map/data production and facilitates exchange/integration of hydrological data with other sources.
Highlights
Humans are exerting significant impacts on the global water system [1] through activities such as the accelerated melting of snow and ice in alpine zones, the removal of trees that lead to increased runoff, reduced transpiration and impacts on the water table and its salinity, the draining of wetlands, the irrigation for agriculture, the alteration of flow through dams, the transfer of water between catchments, and the pollutions from industrial, agricultural and domestic sources
There is an open source alternative to ArcSWAT providing the same functionalities for model preparation based on the
The OWS4SWAT framework is, to our knowledge, among the first attempt to bring interoperability based on Open Geospatial Consortium (OGC) specifications around Soil and Water Assessment Tool (SWAT) software
Summary
Humans are exerting significant impacts on the global water system [1] through activities such as the accelerated melting of snow and ice in alpine zones, the removal of trees that lead to increased runoff, reduced transpiration and impacts on the water table and its salinity, the draining of wetlands, the irrigation for agriculture, the alteration of flow through dams, the transfer of water between catchments, and the pollutions from industrial, agricultural and domestic sources To better understand these modifications and impacts, water science research needs to follow a holistic research approach in order to effectively inform policy for sustainable water management about the dynamics of water in the context of global needs. Users must: 1) Identify the relevant data sources, 2) Download these data on their computer, 3) Harmonize data formats, resolution, and projections
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