EventsThe 3rd International Electronic Conference on Water Sciences
Published
This submission belongs to the session ECWS-3. Submission of the event The 3rd International Electronic Conference on Water Sciences
Published date
15 Nov, 2018
Citation
Susanna Grasso, Pierluigi Claps, Andrea Libertino, Daniele Ganora, A web-based open-source geoinformation tool for regional water resources assessment, in Proceedings of The 3rd International Electronic Conference on Water Sciences, 15 November–30 November 2018, MDPI: Basel, Switzerland, doi: 10.3390/ECWS-3-05831
Share
Email
Facebook
Twitter
LinkedIn

A web-based open-source geoinformation tool for regional water resources assessment

image
image
1. Politecnico di Torino
Abstract

To reduce the impact of droughts and increase the resilience of regional water systems, various demands, such as hydropower, supply and irrigation, need to be reconciled. In this perspective, designers and practitioners must be able to use information tools to define the hydrological constraints for a sustainable management of the resource. In this work, a web-based open-source geoinformation system is presented, that allows to estimate Flow Duration Curves (FDCs) in ungauged basins. The regional statistical model used, developed by Ganora et al., 2013 [1] in North-Western Italy, is based on the characterization of the FDC in a parametric framework where parameters depend on topographic, climatic, land use and vegetation descriptors computed at the basin scale. The software tool, accessible both by web browsers and GIS desktop (e.g. QGIS), pilots the estimations steps by computing the spatial descriptors and applying relations needed to estimate the full FDC via Burr distribution. The developed server-side scripting provides users with always updated data and procedures, being free from software client compatibility issues.

Keywords
Flow Duration Curve
water resources
Web Processing Service
Web-GIS tool
Manuscript
Oral Presentation
Poster
EWCS3_presentation_Grasso_2018_11_12.pdf
A modified IHACRES rainfall-runoff model for predicting hydrologic response of a river basin system with a relevant groundwater component