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Studi Model Distribusi Pencemaran di Pantai Utara Jawa Tengah Menggunakan Model MIKE 21 ECOLab Adam Rus Nugroho; Rudhy Akhwady; Dimas Metakaryanto; Fahrul Yahya
Jurnal Sains & Teknologi Lingkungan Vol. 8 No. 2 (2016): SAINS & TEKNOLOGI LINGKUNGAN
Publisher : Teknik Lingkungan Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jstl.vol8.iss2.art3

Abstract

Central Java has several estuaries which highly populated in their area, generating high load of waste water discharge. Research conducted on two of the estuaries, Comal estuary in Pemalang and Garang estuary in Semarang. Waste water discharge from population around upstream river of Comal and Garang pollute both estuaries, which are in north coast of Central Java. The aim of this research is to determine the amount of pollutants which enter the estuary and become sediment in Comal and Garang river estuary. The amount of pollution has been analyzed by QUAL2Kw program which then the result would be input data for sediment analysis using MIKE 21 ECOLab program. The result of research state that Comal estuary has BOD concentration of 4.26 mg/L on west season and 4.21 mg/L on east season. While Garang estuary has BOD concentration of 18.21 mg/L on west season and 4.73 mg/L on east season.
APLIKASI PARTIAL LEAST SQUARE STRUCTURAL EQUATION MODELLING UNTUK MENILAI FAKTOR PENCEMARAN AIR KALI SURABAYA Adam Rus Nugroho
Purifikasi Vol 14 No 2 (2014): Jurnal Purifikasi
Publisher : Department of Environmental Engineering-Faculty of Civil, Environmental and Geo Engineering. Institut Teknologi Sepuluh Nopember, Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25983806.v14.i2.19

Abstract

Pencemaran yang terjadi pada air Kali Surabaya disebabkan oleh beberapa faktor. Namun belum dapat dipastikan faktor pencemaran yang signifikan. Penelitian ini bertujuan untuk menilai pengaruh dan signifikansi dari faktor pencemaran air Kali Surabaya. Beberapa faktor pencemaran akan diprediksi pengaruhnya terhadap tingkat pencemaran Kali Surabaya. Kondisi hulu, kualitas air limbah domestik, dan persepsi masyarakat adalah variabel eksogen (variabel prediktor) yang diprediksi akan mempengaruhi variabel endogen (variabel respon), yaitu tingkat pencemaran Kali Surabaya. Penelitian ini menggunakan teknik Partial Least Square - Structural Equation Modeling (PLS-SEM) dengan menggunakan program SmartPLS 2.0 M3. Evaluasi outer model dan inner model menghasilkan model matematis berupa persamaan struktural sebagai berikut: tingkat pencemaran = 0,215 kondisi hulu + 0,466 kualitas air limbah domestik– 0,129 persepsi masyarakat. Hasil penelitian ini menyatakan bahwa faktor pencemaran Kali Surabaya yang signifikan adalah kondisi hulu sungai dengan nilai t-statistik sebesar 2,24.
Estimation of Pesticide Concentrations from Agricultural Land in Cangkringan and Pakem Subdistricts on Runoff in the Upper Opak Watershed Andriana Eikintawarna; Suphia Rahmawati; Adam Rus Nugroho; Widodo Brontowiyono
Indonesian Journal of Limnology Vol. 5 No. 1 (2024): Indonesian Journal of Limnology
Publisher : Indonesian Society of Limnology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51264/inajl.v5i1.67

Abstract

Agricultural activities in the Opak Watershed, especially in the upper part located in Sleman Regency, require special attention because they have the potential to have a negative impact on river water quality. The use of pesticides on agricultural land contributes to polluting river water through rainwater runoff. Runoff containing residual organophosphate pesticide residues will reduce river water quality. In order to prevent pesticide pollution in the Upper Opak Watershed (UOW) in a sustainable manner, effective management is needed. However, the lack of information regarding estimates of pesticide concentrations in runoff in the UOW could hamper the management process. Therefore, it is crucial to estimate pesticide concentrations from agricultural land in the Cangkringan and Pakem Subdistricts contained in runoff in the UOW. Estimation of pesticide concentrations in runoff can be done by conducting hydrological modeling. The Soil Conservation Service-Curve Number (SCS-CN) model is the simplest compared to other models, but this model needs to be combined with the Predicted Environmental Concentrations (PEC) model to be able to estimate pesticide concentrations contained in runoff in the UOW. The research results show that the Cangkringan Subdistrict   is the larger contributor to the concentration of organophosphate pesticides in the runoff of the UOW. The runoff contains three types of active pesticide substances, with the highest concentration in the two subdistricts being the active substance Diazinon. Active pesticide substances from rice fields in Pakem Subdistrict did not contribute too much to the pesticide pollution on the UOW runoff. Most of the pesticide concentrations in the UOW runoff came from agricultural land.