Development of Qgis Plugin to Monitor the Health Condition of a Lake-Reference-Cited by-同舟云学术

Development of Qgis Plugin to Monitor the Health Condition of a Lake

Published:2021-06-30 Issue:5 Volume:10 Page:28-32
ISSN:2249-8958
Container-title:Regular issue
language:en
Short-container-title:IJEAT

Author:

K Shibu¹,Ayoob S.²

Affiliation:

1. Department of Civil Engineering, College of Engineering, Trivandrum, Thiruvananthapuram (Kerala), India.

2. Pro-Vice Chancellor, APJ Abdul Kalam Technological University, Thiruvananthapuram (Kerala), India.

Abstract

Monitoring the quality of surface water is an important step towards sustainability of water resources. Quantum Geographic Information System (QGIS) is an opensource desktop application which is used for editing and analysing geospatial data. This study aims to develop a QGIS plugin named Lake Ecosystem Tool to monitor the health condition of a lake in terms of water quality index, trophic state index, hazard quotient, aerial water spread and volumetric change and the same can be used as a planning tool for the sustainable management of existing water bodies.

Publisher

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Subject

Computer Science Applications,General Engineering,Environmental Engineering

Reference20 articles.

1. 1. Anders Nielsen ,Karsten Bolding , Fenjuan Hu , Dennis Trolle(2017). "An open source QGIS-based workflow for model application and experimentation with aquatic ecosystems", Environmental Modelling & Software, 95,p.p 358-364

2. QVAST: a new Quantum GIS plugin for estimating volcanic susceptibility;Bartolini;Natural Hazards and Earth System Sciences,2013

3. 3. Shashi Shekhar, Hui Xiong(2007). "Encyclopedia of GIS",SpringerScience and Business Media, ISBN :978-0-387-35973-1.

4. 4. Guido van Rossum,Fred L. Drake, Jr.(2012). "The Python Language Reference", Python Software Foundation, ISBN 978-1-78216-748-8.

5. 5. Joel Lawhead(2017). "QGIS Python Programming CookBook",Packt Publishing, ISBN 978-1-78712-483-7