PENYEDERHANAAN PARAMETER KUALITAS AIR UNTUK MONITORING DAN EVALUASI KINERJA DAERAH ALIRAN SUNGAI
Sari
Parameter kualitas air untuk monev Daerah Aliran Sungai (DAS) dalam pedoman yang ada sangat banyak, sehingga perlu penyederhanaan parameter untuk efensiensi biaya analisis adalah pengurangan beberapa parameter yang bisa diwakili oleh suatu parameter tertentu dengan cara menghitung korelasinya. Jika suatu parameter mempunyai korelasi yang kuat dengan beberapa parameter lain, maka parameter tersebut dapat digunakan sebagai pewakil parameter lainnya. Penelitian ditunjukkan untuk mengetahui korelasi antar beberapa parameter kualitas air. Contoh air diambil pada outlet sub sub-DAS yang terletak dalam wilayah sub-DAS Solo Hulu. Hasil penelitian menunjukkan bahwa Byochemical Oxygen Demand (BOD) berkorelasi nyata dengan Chemical Oxygen Demand (COD), Potassium Permanganat (KMnO4), NO2, sementara COD kekeruhan, warna, Cl dan SO4. KMnO4 berkorelasi kuat dengan turbiditi dan NO2. Total Disolved Solid (TDS) berkorelasi kuat dengan CaCO3, NO2, Cl dan SO4. Nitrit dan CaCO3 berkorelasi kuat dengan Cl dan SO4 serta Cl mempunyai koefisien korelasi tinggi dengan SO4. Oleh karena terdapat korelasi yang kuat diantara parameter yang diteliti, maka parameter dalam P04/V-DAS/2009 dapat disederhanakan dari 13 yang dianalisis menjadi 5 parameter
Kata Kunci
Teks Lengkap:
pdf Bahasa IndonesiaReferensi
Ahmed, A.A.M., Hossain, M.I., Rahman, M.T., & Chowdhury, M.A.I. (2013). Application of neural network models for predicting dissolved oxygen concentration for Surma river, Bangladesh. Journal of Applied Technology in Environmental Sanitation, 3 (3), 135-140.
Carey, R.O., Migliaccio, K.W., Li, Y., Schafferd, B., Kiker, G.A., & Brown, M.T. (2011). Land use disturbance indicators and water quality variability in the Biscayne Bay Watershed, Florida. Ecological Indicators, 11, 1093-1104.
Chaves, H.M.L., & Alipaz, S. (2007). An integrated indicator based on basin hydrology, environment, life, and policy: the watershed sustainability index. Water Resources Management, 21, 883-895.
Ditjen Rehabilitasi Lahan dan Perhutanan Sosial. (2009). Pedoman monitoring dan evaluasi DAS. Jakarta.
Fattah, K.A., & Fadhlalla, E.Y. (2012). A correlation matrix of groundwater quality parameters along the Red Sea
Coast. University of Khartoum Engineering Journal, 2 (1), 37-40.
Islam, M.S., Tusher, T.R., Mustafa, M., & Mahmud, S. (2012). Effect of solid waste and industrial effluents on water quality of Turag river at Konabari Industrial Area, Gazipur, Bangladesh, Journal of Environmental Science and Natural Resources, 5(2), 213-218.
Jiang-Qi, Q., Zhang Qing-Jing, Liu Pan, Jia Cheng-Xia, & Yang Mu. (2013). Assessment of water quality using multivariate statistical methods : acase study of an urban landscapewater, Beijing. International Journal of Bioscience, Biochemistry and Bioinformatics, 3 (3), 196-200.
Khalil, B.M., Awadallah, A.G., Karaman, H., & El-Sayed, A. (2013). Application of artificial neural networks for the prediction of water quality variables in the Nile Delta. Journal of Water Resource and Protection 4, 388-394.
Kolbe, C. (2011). Surface water quality data interpretation workbook. Surface water quality monitoring program monitoring operation division texas commission on environmental quality.
Lee, A.H., & Nikraz, H. (2014). BOD: COD ratio as an indicator for Pollutants Leaching from Landfill. Journal of Clean Technologies, 2(3), 263-266.
Levine, C.R., Yania, R.D., Lampman, G.G., Burn, D.A., Driscoll, C.T., Lawrence, G.B., Lynch, J.A., & Scoch, N. (2014). Evaluating the efficiency of environmental monitoring programs. Ecological Indicators, 39, 94-101.
N'diaye, A.D., Dhaouadi, H., El Kory, M.B., & Kankou, M.O.S.O. (2013). Water uality assessment of Senegal River in Mauritania by turbidity and chemical parameters analysis during rainy season. Biological Sciences and Pharmaceutical Research, 1 (2), 16-21.
Singh, M., Lodha, P., & Singh, G.P. (2010). Seasonal diatom variations with reference to physico-chemical properties of water of Mansagar lake of Jaipur, Rajasthan. Research Journal of Agricultural Sciences, 1 (4), 451-457.
Singh, A.P., Saxena, R., & Rao, D.P. (2013). Physico-chemical analysis and pollution level of one of distillery effuents in-Unnao, India. European Chemical Bulletin, 2(12), 1060-1064.
Utang, P.B., & Akpan, H.E. (2012). Water quality impediments to sustainable aquaculture development along selected segments of the New Calabar River, Niger Delta, Nigeria. Research Journal of Environmental and Earth Sciences, 4 (1), 34-40.
Xia, X.H., Meng, L.H., & Yang, Z.F. (2005). Influence of humic substance in solids on the measurement of oxygen-consuming organics of the Yellow river. Journal of Environmental Informatics, 6 (1), 51-57.
DOI: https://doi.org/10.9868/ifrj.3.1.13-21
##submission.copyrightStatement##
Copyright of Jurnal Penelitian Hutan dan Keonservasi Alam (ISSN:2338-9249)
