Pollution control strategy on the Boyolali Gandul River borderline
SWOT analysis
Keywords:
Gandul River, pollution, SWOT, water qualityAbstract
River borders are green belts that should be free from permanent, non-permanent or semi-permanent buildings. However, people still use many river borders to build houses. Gandul River is one of the rivers with borderland use that violates regulations. This research aims to analyze the quality of polluting elements and SWOT analysis for strategies for controlling pollution. The research was carried out using a mixed methods approach in the form of quantitative and descriptive. Descriptive research analyzing water quality as an abiotic element was assessed using water quality parameters (temperature, TDS, TSS, pH, total coliform, and DO) and a qualitative culture analysis will be carried out using SWOT (Strengths, Weaknesses, Opportunities, Threats) on 60 respondents who live in Gandul River border as the main respondent. The polluting elements in the Gandul River are coliforms that reached >16,000 during 2021-2023. Strategies in efforts to control buildings on the Gandul River border include firm action to implement government and regional regulations, providing education, and assisting the community with relocation efforts. Land use on the Gan-dul River border causes an increase in the total coliform value so efforts are needed to relocate.
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Aboyitungiye, J. B., & Gravitiani, E. (2021). River pollution and human health risks: Assessment in the locality areas proximity of Bengawan Solo river, Surakarta, Indonesia. Indonesian Journal of Environmental Management and Sustainability, 5(1), 13-20.
Adu, J. T., & Kumarasamy, M. V. (2018). Assessing non-point source pollution models: a review. Polish Journal of Environmental Studies, 27(5), 1913–1922
Afrad, M. S. I., Monir, M. B., Haque, M. E., Barau, A. A., & Haque, M. M. (2020). Impact of industrial effluent on water, soil and Rice production in Bangladesh: a case of Turag River Bank. Journal of Environmental Health Science and Engineering, 18, 825-834.
Alam, S., Jahan, S., & Noor, F. (2022). The surface water system, flood and water resources management of Bangladesh. Bangladesh Geosciences and Resources Potential, 467-546.
Bilotta, G. S., & Brazier, R. E. (2008). Understanding the influence of suspended solids on water quality and aquatic biota. Water research, 42(12), 2849-2861. https://doi.org/10.1016/j.watres.2008.03.018
Borges, R. A., Montero, O. P., Tejera, R. G., Silveira, M. T. D., Montoya, J. C., Mestre, D. H., ... & Milanes, C. B. (2023). Legal Risk in the Management of Forest Cover in a River Basin San Juan, Cuba. Land, 12(4), 1-28.
Chakraborty, S. K., & Chakraborty, S. K. (2021). River pollution and perturbation: Perspectives and processes. Riverine Ecology Volume 2: Biodiversity Conservation, Conflicts and Resolution, 443-530.
Chan, C. K., & Yao, X. (2008). Air pollution in mega cities in China. Atmospheric environment, 42(1), 1-42. https://doi.org/10.1016/j.atmosenv.2007.09.003
Chang, H. H., & Huang, W. C. (2006). Application of a quantification SWOT analytical method. Mathematical and computer modelling, 43(1-2), 158-169. https://doi.org/10.1016/j.mcm.2005.08.016
Dimitratos, S. D., Hommel, A. S., Konrad, K. D., Simpson, L. M., Wu-Woods, J. J., & Woods, D. F. (2019). Biosensors to monitor water quality utilizing insect odorant-binding proteins as detector elements. Biosensors, 9(2), 62.
Häder, D. P., Banaszak, A. T., Villafañe, V. E., Narvarte, M. A., González, R. A., & Helbling, E. W. (2020). Anthropogenic pollution of aquatic ecosystems: Emerging problems with global implications. Science of the Total environment, 713, 136586. https://doi.org/10.1016/j.scitotenv.2020.136586
Kampa, M., & Castanas, E. (2008). Human health effects of air pollution. Environmental pollution, 151(2), 362-367. https://doi.org/10.1016/j.envpol.2007.06.012
Mishra, R. K. (2023). Fresh water availability and its global challenge. British Journal of Multidisciplinary and Advanced Studies, 4(3), 1-78.
Odonkor, S. T., & Mahami, T. (2020). Escherichia coli as a tool for disease risk assessment of drinking water sources. International Journal of Microbiology, 2020(1), 2534130.
Rahman, M. M., Kunwar, S. B., & Bohara, A. K. (2021). The interconnection between water quality level and health status: An analysis of Escherichia coli contamination and drinking water from Nepal. Water Resources and Economics, 34, 100179. https://doi.org/10.1016/j.wre.2021.100179
Raven, P., & Wackernagel, M. (2020). Maintaining biodiversity will define our long-term success. Plant Diversity, 42(4), 211-220. https://doi.org/10.1016/j.pld.2020.06.002
Sammut?Bonnici, T., & Galea, D. (2015). SWOT analysis. Wiley Encyclopedia of management, 1-8.
Satapathy, S. K., & Kanungo, S. (2018). Environment friendly industrial growth for sustainability: with special reference to handicraft and cottage industry in Odisha. International Journal of Life Sciences and Earth Sciences, 1(1), 1-14. https://doi.org/10.31295/ijle.v1n1.8
Seo, M., Lee, H., & Kim, Y. (2019). Relationship between coliform bacteria and water quality factors at weir stations in the Nakdong River, South Korea. Water, 11(6), 1171.
Singh, J., Yadav, P., Pal, A. K., & Mishra, V. (2020). Water pollutants: Origin and status. Sensors in water pollutants monitoring: Role of material, 5-20.
?mie?owska, M., Ligor, T., Kupczyk, W., Szeliga, J., Jackowski, M., & Buszewski, B. (2023). Screening for volatile biomarkers of colorectal cancer by analyzing breath and fecal samples using thermal desorption combined with GC-MS (TD-GC-MS). Journal of Breath Research, 17(4), 047102.
Some, S., Mondal, R., Mitra, D., Jain, D., Verma, D., & Das, S. (2021). Microbial pollution of water with special reference to coliform bacteria and their nexus with environment. Energy Nexus, 1, 100008. https://doi.org/10.1016/j.nexus.2021.100008
Sultana, F. (2018). Water justice: why it matters and how to achieve it. Water International, 43(4), 483-493.
Uddin, M. G., Nash, S., & Olbert, A. I. (2021). A review of water quality index models and their use for assessing surface water quality. Ecological Indicators, 122, 107218. https://doi.org/10.1016/j.ecolind.2020.107218
Zou, L., Liu, Y., Wang, Y., & Hu, X. (2020). Assessment and analysis of agricultural non-point source pollution loads in China: 1978–2017. Journal of environmental management, 263, 110400. https://doi.org/10.1016/j.jenvman.2020.110400
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