Improved spatial outlier detection method within a river network

Mohd Ali, Nur Fatihah and Mohamad Yunus, Rossita and Mohamed, Ibrahim and Othman, Faridah (2022) Improved spatial outlier detection method within a river network. Sains Malaysiana, 51 (3). pp. 911-927. ISSN 0126-6039, DOI

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A spatial outlier refers to the observation whose non-spatial attribute values are significantly different from those of its neighbors. Such observations can also be found in water quality data at monitoring stations within a river network. However, existing spatial outlier detection procedures based on distance measures such as the Euclidean distance between monitoring stations do not take into account the river network topology. In general, water quality levels in lower streams will be affected by the flow from the upper streams. Similarly, the water quality at some tributaries may have little influence on the other tributaries. Hence, a method for identifying spatial outliers in a river network, taking into account the effect of river flow connectivity on the determination of the neighbors of the monitoring stations, is proposed. While the robust Mahalalobis distance is used in both methods, the proposed method uses river distance instead of the Euclidean distance. The performance of the proposed method is shown to be superior using a synthetic river dataset through simulation. For illustration, we apply the proposed method on the water quality data from Sg. Klang Basin in 2016 provided by the Department of Environment, Malaysia. The finding provides a better identification of the water quality in some stations that significantly differ from their neighbouring stations. Such information is useful for the authorities in their planning of the environmental monitoring of water quality in the areas

Item Type: Article
Funders: Universiti Malaya [Gtrant No: RF015B-2018], Ministry of Education, Malaysia [Grant No: FRGS/1/2018/STG06/UM/02/12], Department of Environment, Malaysia
Uncontrolled Keywords: Euclidean distance; River distance; Robust multivariate; Spatial outlier; Water quality
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
S Agriculture > S Agriculture (General)
Divisions: Faculty of Engineering > Department of Civil Engineering
Faculty of Science > Institute of Mathematical Sciences
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 11 Oct 2023 12:10
Last Modified: 11 Oct 2023 12:10

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