Mapping of river water quality through spatial K’luster analysis by tree edge removal

• Autorzy: Novianta Muhammad Andang , Syafrudin Syafrudin , Warsito Budi , Rachmawati Siti

Identyfikatory

DOI

10.12912/27197050/195296

• Języki publikacji: EN

Abstrakty

EN

Mapping is one of the steps that is useful for monitoring changes in water quality, planning and management, increasing public awareness, and analyzing the impact of climate change. This study aims to obtain river water quality mapping through statistical clustering methods, namely grouping observation points to points with excellent and bad quality are obtained. This research increases accuracy and efficiency in monitoring and managing water resources, thereby supporting more appropriate decision-making to preserve the environment in the area. This method is called spatial cluster analysis by tree edge removal, which is a data grouping method that considers geographical aspects between observations. Obtained secondary data from The Special Region of Yogyakarta (DIY), which was then carried out statistical analysis using spatial cluster analysis with spatial K’luster analysis (SKATER). The clustering results are then presented to the mapping. This study uses chemical oxygen demand (COD), pH, total phosphate, nitrate, and ammonia parameters at 43 river sample points in the DIY. SKATER produces 3 clusters, each consisting of 32 locations, 2 locations, and 9 locations. The results of the study showed that the cluster with the highest average COD was cluster 2, which was 29 mg/L and was located in the Winongo and Oya rivers. Likewise, phosphate, pH, and ammonia levels were higher than in other locations. The results are used as indicators for controlling pollution at these cluster points. This result is different from several similar studies that carried out clustering without considering the geographical aspects of the observations. This information is used as a reference for controlling pollution and reducing COD and other parameters at river locations. The challenge of adapting the SKATER method to different river characteristics limits research on rivers in the Yogyakarta region, and implementing the method requires technological support and expertise that do not yet fully exist in the region.

Słowa kluczowe

EN

environmental; geographical aspect; polution; spatial; statistic analyzing

• Wydawca: Lubelski Oddział Polskiego Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology ; WNGB Wydawnictwo Naukowe
• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2025
• Tom: Vol. 26, iss. 1
• Strony: 58--67
• Opis fizyczny: Bibliogr. 32 poz., rys., tab.

Twórcy

autor

Novianta Muhammad Andang

• Department of Doctoral Environmental Science, Faculty of Postgraduate, Diponegoro University, Semarang 50275, Indonesia
• Department of Electrical Engineering, Faculty of Engineering, University AKPRIND Yogyakarta 55222, Indonesia

• https://orcid.org/0000-0003-4142-0346

autor

Syafrudin Syafrudin

• Department of Doctoral Environmental Science, Faculty of Postgraduate, Diponegoro University, Semarang 50275, Indonesia
• Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang 50275, Indonesia

• https://orcid.org/0000-0002-1187-6361

autor

Warsito Budi

• Department of Doctoral Environmental Science, Faculty of Postgraduate, Diponegoro University, Semarang 50275, Indonesia
• Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro, Semarang 50275, Indonesia

• https://orcid.org/0000-0003-1948-4511

autor

Rachmawati Siti

• Department of Environmental Science, Faculty of Mathematics and Natural Sciences, Sebelas Maret University, Surakarta 57126, Indonesia

• https://orcid.org/0000-0001-6566-0374

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