10.5281/zenodo.3301538
https://zenodo.org/records/3301538
oai:zenodo.org:3301538
Pavel Kargashin
Pavel Kargashin
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
Andrew Karpachevskiy
Andrew Karpachevskiy
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
Maria Kozlova
Maria Kozlova
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
Nataliya Shchegolkova
Nataliya Shchegolkova
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
Gusti Ngurah Santosa
Gusti Ngurah Santosa
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
I Nyoman Sunarta
I Nyoman Sunarta
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
I Wayan Budiasa
I Wayan Budiasa
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
I Ketut Suada
I Ketut Suada
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
I Nyoman Rai
I Nyoman Rai
Moscow State University, Faculty of Geography, Department of Cartography and Geoinformatics, Moscow, Russia
Study of Bali Rivers Water Quality via Automated Workflow Using Python and ArcGIS Tools
Zenodo
2019
water quality
monitoring
geographic information system
geographical maps
pollutants
2019-07-10
10.5281/zenodo.3301537
Creative Commons Attribution 4.0 International
ABSTRACT
The article shows the results of joint research of scientists from Indonesia (Udayana University) and Russia Federation (Lomonosov MSU and Water Problems Institute RAS). Within the frameworks of the research, the water quality of natural water bodies is explored in the Bali island. Initial data for investigation was taken from state environmental reports. The main goal was to systematize data, find optimal ways for data storage and representation and make an overview of water quality in Bali island, to explore the spatial and temporal aspects. Database construction and programming used Python to build GIS project to maintain the research. There are concepts of workflow in the article and some primary conclusions concerning the current monitoring system and spatial distribution of pollutants in river basins.