Issue |
E3S Web Conf.
Volume 468, 2023
ICST UGM 2023 - The 4th Geoscience and Environmental Management Symposium
|
|
---|---|---|
Article Number | 08001 | |
Number of page(s) | 4 | |
Section | Land, Water, and Natural Resources | |
DOI | https://doi.org/10.1051/e3sconf/202346808001 | |
Published online | 21 December 2023 |
Agricultural Watershed Health Monitoring Using Spatial Based Approach under Tropical Climate Environment
Department of Agricultural and Biosystems Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.
* Corresponding author: chandra.tep@ugm.ac.id
Massive agricultural activities in watershed areas cause severe environmental damage through soil erosion, sedimentation downstream and decreased water quality. A decrease in water quality can damage the aquatic ecosystem, which is an indication of a watershed health level. Hence, continuous monitoring of water quality is needed. This study aims to assess the level of watershed health as a result of agricultural activities. Five water quality indicators such as BOD, COD, pH, Nitrate, and KMnO4 were used in this study. The values of the five indicators were then analyzed quantitatively using scoring with three posibility categories and scores, namely good (score: 5), moderate (score: 3), and poor (score: 1). Categories were determined based on water quality standards for aquatic ecosystems. The results showed a good value category for all indicators. It reveals that in general the watershed is in a healthy condition. Some indicators that showed moderate values (BOD, COD, and KMnO4) in the northern part of the watershed indicated changes in water quality. The results of this study provides a reference for developing a watershed health monitoring system using more complex indicators.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.