Abstract
While the contribution of industrial parks to the socio-economic aspect has been widely acknowledged over the past two decades in Vietnam, the problem of environmental pollution due to the wastes generated from industrial parks, especially wastewater, has still been an emerging issue, which places a great pressure on the Government. The wastewater generation from industrial parks was ordinarily required to report in all environmental impact assessment (EIA) reports as a base for the construction of on-site wastewater treatment plants within the industrial park. In Vietnam, this data was, however, often higher than the actual generated number due to inaccurate technical guidelines on predicting wastewater generation and many different methods to be applied. This study aimed to evaluate different approaches used to calculate the effluent in the industrial parks. The results showed that all of the four approaches (i.e., previous operation-based, water-based, wastewater-based, or experience-based methods) rendered significant gaps between predicted and actual values. None can be acceptable for use at present. A revision of technical guideline should be conducted to provide more detailed instruction for the better prediction. This shall minimize the investment capital and increase the efficiency of industrial parks in pollution control.
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Al-Saydeh, S. A., El-Naas, M. H., & Zaidi, S. J. (2017). Copper removal from industrial wastewater: a comprehensive review. Journal of Industrial and Engineering Chemistry, 56, 35–44. https://doi.org/10.1016/j.jiec.2017.07.026.
Barnston, A. (1992). Correspondence among the Correlation (root mean square error) and Heidke verification measures; refinement of the Heidke score. Notes and Correspondence. American Meteorological Society Journal, 699–709. https://doi.org/10.1175/1520-0434(1992)007<0699:CATCRA>2.0.CO;2.
Barros, C. P., Managi, S., & Matousek, R. (2012). The technical efficiency of the Japanese banks: non-radial directional performance measurement with undesirable output. Omega, 40, 1–8. https://doi.org/10.1016/j.omega.2011.02.005.
Chen, P. C., Yu, M. M., Chang, C. C., Hsu, S. H., & Managi, S. (2015). Non-radial directional performance measurement with undesirable outputs: an application to OECD and non-OECD countries. International Journal of Information Technology & Technology Decision Marking, 14, 481–520. https://doi.org/10.1142/S0219622015500091.
Clausen, A., Vu, H. H., & Pedrono, M. (2011). An evaluation of the environmental impact assessment system in Vietnam: the gap between theory and practice. Environmental Impact Assessment Review, 31(2), 136–143. https://doi.org/10.1016/j.eiar.2010.04.008.
El-Sayed, A. B., Ashraf, A. Z., & Matthew, C. (2011). Benchmarking performance: environmental impact statements in Egypt. Environmental Impact Assessment Review, 31, 279–285. https://doi.org/10.1016/j.eiar.2010.10.004.
European Commission (EC) (2007). Default emission factors for industrial processes, vol 10. https://www.eea.europa.eu/ds_resolveuid/AVWT15S80U. Accessed 28 Feb 2020.
Fujii, H., & Managi, S. (2017). Wastewater management efficiency and determinant factors in the Chinese industrial sector from 2004 to 2014. Water, 9, 586. https://doi.org/10.3390/w9080586.
Fujii, H., Cao, J., & Managi, S. (2015). Decomposition of productivity considering multi-environmental pollutants in Chinese industrial sector. Review of Development Economics, 19, 75–84. https://doi.org/10.1111/rode.12123.
General Statistics Office GSO, Vietnam (2018). Economic Report. Available at: https://www.gso.gov.vn/default_en.aspx?tabid=491. Accessed 28 Feb 2020.
Glasson, J., Therivel, R., & Chadwick, A. (2005). Introduction to environmental impact assessment (3rd ed.). London: Spon Press.
Goh, S., Zhang, J., Liu, Y., & Fane, A. G. (2015). Membrane distillation bioreactor (MDBR)–a lower green-house-gas (GHG) option for industrial wastewater reclamation. Chemosphere, 140, 129–142. https://doi.org/10.1016/j.chemosphere.2014.09.003.
Hu, W., Tian, J., Zang, N., Gao, Y., & Chen, L. (2018). Study of the development and performance of centralized wastewater treatment plants in Chinese industrial parks. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2018.12.247.
Jegatheesan, V., Pramanik, B. K., Chen, J., Navaratna, D., Chang, C.-Y., & Shu, L. (2016). Treatment of textile wastewater with membrane bioreactor: a critical review. Bioresource Technology, 204, 202–212. https://doi.org/10.1016/j.biortech.2016.01.006.
Jurgis, K. S., & Valdas, A. (2009). Sustainability performance indicators for industrial enterprise management. Environmental Research, Engineering and Management, 2(48), 42–50. https://doi.org/10.5755/j01.erem.48.2.13.
Koichi F (2017) Evaluation and control of industrial wastewater discharge based on material flow analysis. WEPA international workshop on industrial wastewater management. Jakarta, Indonesia. Available at http://wepa-db.net/3rd/en/meeting/20170926/pdf/26_1_keynote2_fujie.pdf. Accessed 13 Jan 2020.
Li, W., Mu, B., & Yang, Y. (2019). Feasibility of industrial-scale treatment of dye wastewater via bio-adsorption technology. Bioresource Technology. https://doi.org/10.1016/j.biortech.2019.01.002.
Mahat, S. B., Omar, R., Idris, A., Mustapa Kamal, S. M., & Mohd Idris, A. I. (2018). Dynamic membrane applications in anaerobic and aerobic digestion for industrial wastewater: a mini review. Food and Bioproducts Processing. https://doi.org/10.1016/j.fbp.2018.09.008.
O’Dwyer, E., Wang, H., Wang, A., Shah, N., & Guo, M. (2018). Optimisation of wastewater treatment and recovery solutions in industrial parks. 28th European Symposium on Computer Aided Process Engineering, 1407–1412. https://doi.org/10.1016/b978-0-444-64235-6.50246-1
Oras, K., & Grüner, E. (2005). The estimation of the wastewater generation and pollution load by the branches of industry. IWG-Env, International Work Session on Water Statistics, Vienna, 2005.
Pai, T. Y., Yang, P. Y., Wang, S. C., Lo, M. H., Chiang, C. F., Kuo, J. L., et al. (2011). Predicting effluent from the wastewater treatment plant of industrial park based on fuzzy network and influent quality. Applied Mathematical Modelling, 35(8), 3674–3684. https://doi.org/10.1016/j.apm.2011.01.019.
Pham T.T. 2018. Studying methods of forecasting industrial wastewater volume in EIA reports of infrastructure construction projects industrial park in Vietnam conditions. Doctoral thesis, Vietnam National University, Hanoi.
Sakhel, S. R., Geissen, S. U., & Vogelpohl, A. (2013). Virtual industrial water usage and wastewater generation in the Middle East/North African region. Hydrology and Earth System Sciences, 10, 999–1039. https://doi.org/10.5194/hessd-10-999-2013.
Toczyłowska-Mamińska, R. (2017). Limits and perspectives of pulp and paper industry wastewater treatment–a review. Renewable and Sustainable Energy Reviews, 78, 764–772. https://doi.org/10.1016/j.rser.2017.05.021.
Vijayan, A., & Mohan, G. S. (2016). Prediction of effluent treatment plant performance in a diary industry using artificial neural network technique. Journal of Civil Environmental Engineering. https://doi.org/10.4172/2165-784X.1000254.
Vu, D. T. (2014). Orientation of industrial parks development to attract foreign investment. Journal of Vietnamese Investment, 14, 8–12 Retrieved at https://www.researchgate.net/publication/303178284_Orientation_of_industrial_parks_development_to_attract_foreign_investment. Accessed 13 Jan 2020.
World bank (WB) (2007). International Finance Corporation’s Environmental, Health and Safety Guidelines. Retrieved at https://www.ifc.org/wps/wcm/connect/topics_ext_content/ifc_external_corporate_site/sustainability-at-ifc/policies-standards/ehs-guidelines. Accessed 13 Jan 2020.
WWAP (United Nations World Water Assessment Programme). (2017). The United Nations world water development report 2017. Wastewater: The Untapped Resource. Paris: UNESCO Retried at https://www.unido.org/sites/default/files/2017-03/UN_World_Water_Development_Report_-_Full_0.pdf. Accessed 13 Jan 2020.
Yiu, W. Y. M. (2005). Guidelines for estimating sewage flows for sewage infrastructure planning. Environmental Protection Department, Hong Kong. Retrieved at https://www.epd.gov.hk/epd/english/environmentinhk/water/guide_ref/gesf.html. Accessed 13 Jan 2020.
Yuan, Z., Jiang, W., & Bi, J. (2010). Cost-effectiveness of two operational models at industrial wastewater treatment plants in China: a case study in Shengzen town, Suzhou City. Journal of Environmental Management, 91, 2038–2044. https://doi.org/10.1016/j.jenvman.2010.05.016.
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The authors express high appreciation to the Provincial Departments of Natural Resources and Environment and IPs’ Management Boards for sharing data and conducting surveys, which are a critical data source for our research.
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Highlights
• A critical gap between wastewater prediction in EIA reports and actual data was found.
• Most of EIA reports based on experience of the consultants in wastewater estimation.
• High RMSE for all prediction methods implied that none is acceptable at present.
• Strengthening EIA skills and awareness of industrial investors is critical.
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Thuy, P.T., Tuan, P.T., Huyen, D.T.T. et al. Insights of environmental impact assessment reports for industrial parks: wastewater quantity prediction aspect. Environ Monit Assess 192, 252 (2020). https://doi.org/10.1007/s10661-020-8217-2
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DOI: https://doi.org/10.1007/s10661-020-8217-2