Wyniki wyszukiwania - BazTech

Ograniczanie wyników

2 2025

Powiadomienia systemowe

Sesja wygasła!
Sesja wygasła!

Znaleziono wyników: 2

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Distribution and ecological risk of microplastics in soil at the Jatibarang landfill in Semarang, Indonesia

Hartini Eko, Hadiyanto Hadiyanto, Warsito Budi

Journal of Ecological Engineering

2025

Vol. 26, nr 2

272--285

Inadequate waste management contributes significantly to the accumulation of plastic waste, as landfills accept unsorted waste. Various natural processes in landfills play a crucial role in microplastic pollution of both soil and aquatic systems. This study examined samples from Jatibarang Landfill, Indonesia, the largest waste disposal site in Central Java. Soil samples were collected from a depth of 0 to 20 cm in three zones – active, passive, and areas near settlements – and analyzed for microplastic abundance, size, shape, color, and polymer type. The study aimed to evaluate the distribution, ecological risks, and impacts of microplastics on the physical and chemical properties of soil at Jatibarang Landfill. Results indicated a high microplastic abundance, with counts reaching 2340 particles per kilogram of soil, particularly in areas close to settlements. The primary types of microplastics identified were polypropylene (PP), polystyrene (PS), and low-density polyethylene (LDPE). The polymer hazard index (PHI) and coefficient of microplastic impact (CMPI) were employed to assess the potential risks of microplastic pollution. Polypropylene was identified as the most significant pollutant due to its widespread use and persistent nature. Improved landfill management strategies are essential to mitigate microplastic pollution and its adverse environmental effects.

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

Novianta Muhammad Andang, Syafrudin Syafrudin, Warsito Budi, Rachmawati Siti

Ecological Engineering & Environmental Technology

2025

Vol. 26, iss. 1

58--67

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.