Web-User-Interface System Utilizing rHMEI and Open Data for a Water Quality Analyzer
Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | Information Modelling and Knowledge Bases XXIX |
| Editors | V. Sornlertlamvanich, P. Chawakitchareon, A. Hansuebsai, C. Koopipat, B. Thalheim, Y. Kiyoki, H. Jaakkola, N. Yoshida |
| Publisher | IOS Press |
| Pages | 420-428 |
| ISBN (Electronic) | 978-1-61499-834-1 |
| ISBN (Print) | 978-1-61499-833-4 |
| DOIs | |
| Publication status | Published - Feb 2018 |
| Publication type | A3 Part of a book or another research book |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Publisher | IOS Press |
| Volume | 301 |
| ISSN (Print) | 0922-6389 |
| ISSN (Electronic) | 1879-8314 |
Abstract
A clean environment is often taken for granted, but when a river or a lake becomes polluted, it might be hard for the general public to verify the condition. A simple visualization tool for checking the condition of water could help to inform the public and help to increase environmental awareness. With the emergence of Open Data and other openly available data sources, it is possible to create new and innovative applications. In this paper we present a web-based tool for reviewing the quality of water by applying the River Heavy Metal Evaluation Index (rHMEI) method together with open data on water quality in Finland.