Monitoring of Surface Water Quality in Train Development Activities Plan between Makasar and Parepare, South Sulawesi Indonesia

Main Article Content

Slamet Isworo
Poerna Sri Oetari
Indah Nur Alita
Tosan Adji

Abstract

Background and Objectives: The plan for the construction of the Makassar - Parepare railway line is the priority for the development of the land transportation mode in South Sulawesi. The development plan has received an environmental permit which was then continued with a monitoring study.

Methodology: Descriptive analysis methods are then compared with quality standards based on South Sulawesi Governor Regulation No. 69 of 2010. Physical parameters with organoleptic and conductivity methods. Heavy metal parameters using the Atomic Absorption Spectrophotometry method. Aquatic biota parameters are based on the Shannon wiener diversity index.

The Results: The measurement results of the pre-construction stage addressing parameters that exceed the quality standard are turbidity. Measuring the monitoring period I, all parameters still meet quality standards, except Total Dissolved Solids and Cadmium, while other parameters are not required. Measurement. Period II, at all measurement locations the parameters of Total Dissolved Solids, Total Suspended Solid, Chemical Oxygen Demand and Dissolved Oxygen exceed the quality standards of the Diversity Index (H') results of the pre-construction period with the value            (H') = 1.92, (D) = 66, (E) = -, mild pollution waters category.  Period 1 (H') = 0.24, (D) = 0.88, (E) = 0.35, the category of moderately polluted.   Period II (H') = 0.78, (D) = 0.22, (E) = 0.49, the category of moderately polluted waters.

Conclusions: Monitoring results show an increase in surface water pollution from mild to moderate.

Keywords:
Environmental monitoring, surface water, physical, chemical and biological parameters, diversity index, environmental pollution.

Article Details

How to Cite
Isworo, S., Oetari, P. S., Alita, I. N., & Adji, T. (2020). Monitoring of Surface Water Quality in Train Development Activities Plan between Makasar and Parepare, South Sulawesi Indonesia. Asian Journal of Biology, 8(4), 1-17. https://doi.org/10.9734/ajob/2019/v8i430070
Section
Case study

References

Cangara H, Supriyadi A, Salle A. Information dissemination effects to provision of land for railway lines in relationship with the knowledge, attitude and behavior of the land owners in barru regency, South Sulawesi-Indonesia. Advances in Social Sciences Research Journal. 2017;4(10).

Rahman HZ, Berawi MA, Susantono B, et al. Investigation of an operation and maintenance framework in the railway industry: A case study of the makassar-parepare. International Journal of Technology. 2018;9:549–557.

Lubis HA-RS, Nurullah P. Recent development of Indonesian railway institution. Journal of the Eastern Asia Society for Transportation Studies. 2007;7:1886–1901.

Borda-de-Água L, Barrientos R, Beja P, et al. Railway ecology. In: Railway ecology. Springer, Cham. 2017;3–9.

Leung KH. Indonesia’s Summary Transport Assessment; 2016.

Mellberg I, Lingestål I, Andersson M, et al. Environmental impact assessment: Roads and rail: Handbook methodology. Publication; 2011.

Black J. National railway system. In: Sustainable Railway Futures. Routledge. 2016;61–78.

Khanna N. Measuring environmental quality: An index of pollution. Ecological Economics. 2000;35:191–202.

Gorde SP, Jadhav MV. Assessment of water quality parameters: A review. Journal of Engineering Research and Applications. 2013;3:2029–2035.

KhAn AkA. Aquatic plant biodiversity: A biological indicator for the monitoring and assessment of water quality. Plant Biodiversity: Monitoring, Assessment and Conservation. 2016;218.

Knoben RAE, van Oirschot MCM, Roos C. Biological assessment methods for watercourses. RIZA; 1995.

Patnaik P. Handbook of environmental analysis: Chemical pollutants in air, water, soil and solid wastes. Crc Press; 2017.

Goswami SC. Zooplankton methodology, collection & identyification-A field manual; 2004.

Parmar TK, Rawtani D, Agrawal YK. Bioindicators: The natural indicator of environmental pollution. Frontiers in Life Science. 2016;9:110–118.

Cole GA, Weihe PE. Textbook of limno-logy. Waveland Press; 2015.

Boyd CE, Tucker CS. Pond aquaculture water quality management. Springer Science & Business Media; 2012.

Lopa RT, Selintung M, Lakatua MP, et al. Water quality monitoring of unhas lake water. International Journal of Engineering and Science Applications. 2016;1:55– 66.

Kamenir Y, Dubinsky Z, Zohary T. Phytoplankton size structure stability in a meso-eutrophic subtropical lake. Hydrobiologia. 2004;520:89–104.

Sahami FM, Baruadi ASR, Hamzah SN. Phytoplankton abundance as a preliminary study on pearl oyster potential culture development in the North Gorontalo water, Indonesia. Aquaculture, Aquarium, Conservation & Legislation. 2017;10:1506–1513.

Irigoien X. Plankton: A Guide to their ecology and monitoring for water quality 2nd edn; 2019.

Martsenyuk V, Petruk VG, Kvaternyuk SM, et al. Multispectral control of water bodies for biological diversity with the index of phytoplankton. In: 2016 16th International Conference on Control, Automation and Systems (ICCAS). IEEE. 2016;988–993.

Negi RK, Rajput V. Assessment of phytoplankton diversity in relation to abiotic factors of Nainital Lake of Kumaon Himalayas of Uttarakhand State, India. Asian Journal of Scientific Research. 2015;8:157.

Attayde JL, Bozelli RL. Assessing the indicator properties of zooplankton assemblages to disturbance gradients by canonical correspondence analysis. Canadian Journal of Fisheries and Aquatic Sciences. 1998;55:1789–1797.

Agouridis CT, Wesley ET, Sanderson TM, et al. Aquatic macroinvertebrates: Biological indicators of stream health; 2015.

Schleuter D, Daufresne M, Massol F, et al. A user’s guide to functional diversity indices. Ecological Monographs. 2010;80:469–484.

Syahrir M, Hanjoko T, Adnan A, et al. Community structure of estuarine reef fish in Muara Ilu, Mahakam Delta, Indonesia. AACL Bioflux. 2019;12(5).

Keylock CJ. Simpson diversity and the Shannon–Wiener index as special cases of a generalized entropy. Oikos. 2005;109:203–207.

Ricotta C, de Bello F, Moretti M, et al. Measuring the functional redundancy of biological communities: A quantitative guide. Methods in Ecology and Evolution. 2016;7:1386–1395.

Schmid‐Araya JM, Schmid PE. Trophic relationships: Integrating meiofauna into a realistic benthic food web. Freshwater Biology. 2000;44:149–163.

Steinberg DK, Landry MR. Zooplankton and the ocean carbon cycle. Annual Review of Marine Science. 2017;9:413–444.

Banagar G, Riazi B, Rahmani H, et al. Monitoring and assessment of water quality in the Haraz River of Iran, using benthic macroinvertebrates indices. Biologia. 2018;73:965–975.

Gotelli NJ, Colwell RK. Quantifying biodiversity: Procedures and pitfalls in the measurement and comparison of species richness. Ecology Letters. 2001;4:379–391.

Hapke WB, Black RW, Eagles-Smith CA, et al. Contaminant Concentrations in sediments, aquatic invertebrates, and fish in proximity to rail tracks used for coal transport in the pacific northwest (USA): A baseline assessment. Archives of Environmental Contamination and Toxicology. 2019;77:549–574.

Esenowo IK, Ugwumba AAA, Akpan AU. Evaluating the physico-chemical characteristics and plankton diversity of Nwaniba River, South-South Nigeria. Asian Journal of Environment & Ecology. 2017;1–8.