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Interpolation of rainfall through polynomial regression in the Marche Region (Central Italy)

Interpolation of rainfall through polynomial regression in the Marche Region (Central Italy)

Burt, Peter, Gentilucci, M., Bisci, C., Fazzini, M. and Vaccaro, C. (2018) Interpolation of rainfall through polynomial regression in the Marche Region (Central Italy). In: The Annual International Conference on Geographic Information Science; AGILE 2018: Geospatial Technologies for All. Lecture Notes in Geoinformation and Cartography . Springer, Cham. ISBN 978-3-319-78207-2 ISSN 978-3-319-78208-9 (Online) (doi:https://doi.org/10.1007/978-3-319-78208-9_3)

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Abstract

Notwithstanding its small size (less than 10000 km2), because of its varied topography, ranging from the Apennines Range (up to more than 2000 m amsl) to coastal environments, the Marche Region (the Adriatic side of Central Italy), is characterized by many different types of climate.

In this region there are no fully satisfactory models to interpolate and generalize rainfall data from the 111available meteorological recording stations; however, in this study an innovative way to interpret data linking precipitation to many topographic parameters is introduced.

Based on those considerations, statistical analyses were carried out on rainfall historical series in order to assess significantly variations during the last 60 years and to create a model capable of explaining rainfall distribution based on geo-graphical and topographic parameters. Thus on one hand was highlighted a significant decrease of rainfall from 1961-1990 to 1991-2016, over the whole period, in the hilly and mountainous sectors (100-200 mm), while closer to the coast the difference is slight (about 0 – 100 mm), on the other the new model highlights the presence of some outliers, which may lead to a better comprehension of climatic dynamics in this area.

Item Type: Conference Proceedings
Title of Proceedings: The Annual International Conference on Geographic Information Science; AGILE 2018: Geospatial Technologies for All
Uncontrolled Keywords: Rainfall, Marche Region, Multiple Regressions, GIS, Climate
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science > Natural Resources Institute > Ecosystem Services Research Group
Related URLs:
Last Modified: 25 Mar 2019 01:38
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/20390

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