Computational Watershed Hydrology (edX)

Computational Watershed Hydrology (edX)
Course Auditing
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Computational Watershed Hydrology (edX)
Learn how to perform hydrologic analysis and modeling using real observations, geospatial data, and computational tools. Students in this class will learn how to access and process commonly used geospatial and temporal data such as the digital elevation model (DEM), land use, soil, streamflow and precipitation using geographic information systems (GIS).

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After processing, students will learn how to use these data to create hydrologic and hydraulic models such as HEC-HMS, HEC-RAS and SWAT. Students will learn how to interpret model results and present information to convey the role of climate and human factors on watershed hydrology. After completing this course, students should be able to perform hydrologic and hydraulic analysis or modeling in research and professional practice to address issues related to water movement and availability in natural settings.


What you'll learn

- Obtain, process and analyze topography, land use, soil, hydrography, climate and streamflow data

- Use geospatial tools such as ArcGIS and QGIS for delineating stream network and watershed boundaries

- Develop commonly used hydrologic and hydraulic models such as HEC-HMS, HEC-RAS and SWAT for simulating hydrologic and hydraulic processes


Prerequisites:

Students interested in this course are expected to have a working knowledge of ArcGIS.

To achieve a course certificate, students will need to have access to ArcGIS.

Learners may purchase a one-year license from Esri.



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Course Auditing
1991.00 EUR

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.