期刊名称：GI_FORUM - Journal for Geographic Information Science
电子版ISSN：2308-1708
出版年度：2014
页码：77-86
DOI：10.1553/giscience2014s77
出版社：ÖAW Verlag, Wien
摘要：River water temperature is an important ecological measure and a complex phenomenon. Asignificant number of influencing factors with different levels of impact on the watertemperature profile, and dynamic water temperature behaviour of rivers, must beconsidered. Critical factors represent air temperature, shade caused by riparian vegetation,flow velocity and solar radiation. In order to obtain exact water temperature values, on-sitemeasurements have to be performed, however, it is not possible to equip every segment ofthe river with measuring stations. Therefore, the main goal of this project is thedevelopment of a GIS-based water temperature interpolation model that estimates the watertemperature in rivers. Essential for this GIS-based model is the detailed definition ofinfluencing factors and its spatial representation for developing an analysis model.In a first step, the target river network is segmented based on its tributaries. Segment pointsare set where tributaries join the major river, and therefore cause a mixing due to differentwater temperatures. Every segment with the calculated values regarding hydrology,geometry, meteorology, as well as shade, serves as an input for the applied watertemperature interpolation tool “Stream Segment Temperature Model” (SSTEMP). This toolis used to calculate and interpolate the monthly average water temperature for every riversegment. Following this procedure, pinpoint water temperatures are calculated for everyriver segment that can be exported to ArcGIS. Python Scripts support a semi-automatedworkflow to transfer all relevant geodata to the corresponding river segment where they arestored as attributes. Finally, the result can be visualized and highlighted, which enables theuser to obtain modelled pinpoint water temperature information.
