PREDICTION OF LEACHATE IN MUARA FAJAR LANDFILL USING DYNAMIC SYSTEM MODEL
Sri Fitria Retnawaty*, Shabri Putra Wirman, Ficky Dara Nababan, Aifat Zahiroh, Yeeri Badrun
Fakultas Ilmu Pengetahuan Alam dan Kesehatan Universitas Muhammadiyah Riau
*corresponding email: fitriretno[at]umri.ac.id
Abstract
Research has been carried out on measuring metal content and predicting the volume of leachate produced from Muara Fajar Landfill in Pekanbaru from 2019 to 2024. Measurement of metal content was carried out to determine the amount of metal concentrations contained in the leachate at this time, whereas the prediction of leachate was carried out to determine the growth of leachate volume every year until 2024. Metal content was measured using the Atomic Adsorption Spectrometer (AAS) and leachate volume prediction was done by using a dynamic system model using powersim. Based on the measurement of metal content, it is known that there is a leachate pond that has a metal content value exceeding the threshold of 6.4517 mg/l. While based on the results of the predicted growth in the volume of leachate, it shows that each year the volume of leachate increases by 35.44% or an average increase of 5,467.5 mg/l until 2024. A scenario was made as an effort to control metal content in the leachate collection pond, namely by photoremediation using Cyperus papyrus and Echinodorus palaefolius plants. Scenarios were performed to calculate the number of plants needed so that the metal content is reduced and does not exceed the quality standard threshold. The calculation results reveal that 12,173 Cyperus papyrus plants or 10,348 stems of Echinodorus palaefolius plants are needed to reduce metal content by 30%.
Keywords: Leachate; Dynamic System Model; Powersim; Muara Fajar Landfill
Topic: Environmental Engineering