Integration of Mathematical Median Ranked Set Sample and Decision Making AHP Tools to Enhance Decentralized Wastewater Treatment System

Abstract

Environmental issues, including wastewater treatment plant sitting, usually have various aspects of criteria and involve many stakeholders from various backgrounds and levels. It is characterized as multi-criteria decision-making problem that requires extensive environmental, financial, social, operational and technical evaluations. Furthermore, the various background of involved stakeholders and conflict of interests among them complicate the decision-making process. The Median Ranked Set sample (MRSS) and Analytic Hierarchy Process (AHP) were integrated in this research to improve the decision-making process. MRSS was used to enhance the weighting process, to minimize inconsistency, uncertainty as well as conflict of interest during the stakeholder’s preferences determination, while AHP was used to determine the final priorities of the evaluation criteria. The stakeholders were divided into four groups in which four experts are in each to form 4-by-4 matrix. The results show that the environmental criteria got the highest importance followed by social and economic criteria, respectively. Furthermore, the most important criteria are outflow emissions (importance weight = 0.27) followed by public acceptance (importance weight = 0.22). Furthermore, the best decentralized option for wastewater treatment in rural area is based on cluster level and by using the activated sludge as a wastewater treatment technology with suitability index equals to 4.26 and 4.22, respectively. While, the modified septic tank is best treatment option (with suitability index = 3.85) for wastewater treatment on household level. The introduced integrated model may offer a promising tool to improve the decision-making process and will help the environmental planners in term of uncertainty reduction and subjectivity of human judgments.

This is a preview of subscription content, access via your institution.

Fig. 1.

REFERENCES

  1. 1

    Jordan Water Sector Facts & Figures 2017, Amman: Minist. Water Irrig., 2017, pp. 6–17.

  2. 2

    Mohammad, A.H., Jung, H.C., Odeh, T., Bhuiyan, C., and Hussein, H., Understanding the impact of droughts in the Yarmouk Basin, Jordan: Monitoring droughts through meteorological and hydrological drought indices, Arab. J. Geosci., 2018, vol. 11, no. 5, p. 103.

    Article  Google Scholar 

  3. 3

    Decentralized Wastewater Management Policy, Amman: Minist. Water Irrig., 2016, pp. 1–12.

  4. 4

    Afzali, A., Samani, J., and Rashid, M., Municipal landfill site selection for isfahan city by use of fuzzy logic and analytic hierarchy process, Iran. J. Environ. Health Sci. Eng., 2011, vol. 8, no. 3, pp. 11–15.

    Google Scholar 

  5. 5

    Younes, M.K., Basri, N., Nopiah, Z.M., Basri, H., and Abushammala, M.F., Use of a combination of MRSS–ANP for making an innovative landfill siting decision model, Math. Probl. Eng., 2015, vol. 2015, art. ID 381926.

    Article  Google Scholar 

  6. 6

    Siedentop, S., Locating sites for locally unwanted land uses: Successfully coping with NIMBY resistance, in Methods and Techniques in Urban Engineering, London: InTechOpen, 2010, pp. 611–635.

  7. 7

    Coteur, I., Marchand, F., Debruyne, L., Dalemans, F., and Lauwers, L., A framework for guiding sustainability assessment and on-farm strategic decision making, Environ. Impact Assess. Rev., 2016, vol. 60, pp. 16–23.

    Article  Google Scholar 

  8. 8

    Şener, Ş., Şener, E., Nas, B., and Karagüzel, R., Combining AHP with GIS for landfill site selection: A case study in the Lake Beyşehir catchment area (Konya, Turkey), Waste Management, 2010, vol. 30, no. 11, pp. 2037–2046.

    Article  Google Scholar 

  9. 9

    Gdoura, K., Anane, M., and Jellali, S., Geospatial and AHP-multicriteria analyses to locate and rank suitable sites for groundwater recharge with reclaimed water, Resour., Conserv. Recycl., 2015, vol. 104, pp. 19–30.

    Article  Google Scholar 

  10. 10

    Aydi, A., Abichou, T., Nasr, I.H., Louati, M., and Zairi, M., Assessment of land suitability for olive mill wastewater disposal site selection by integrating fuzzy logic, AHP, and WLC in a GIS, Environ. Monit. Assess., 2015, vol. 188, no. 1, pp. 59.

  11. 11

    Fuentes-Bargues, J.L. and Ferrer-Gisbert, P.S., Selecting a small run-of-river hydropower plant by the analytic hierarchy process (AHP): a case study of Miño-Sil River basin, Spain, Ecol. Eng., 2015, vol. 85, pp. 307–316.

  12. 12

    Ibrahim, K., On comparison of some variation of ranked set sampling, Sains Malays., 2011, vol. 40, no. 4, pp. 397–401.

  13. 13

    Husby, C.E., Stasny, E.A., and Wolfe, D.A., An application of ranked set sampling for mean and median estimation using USDA crop production data, J. Agric., Biol., Environ. Stat., 2005, vol. 10, no. 3, pp. 354–373.

    Article  Google Scholar 

  14. 14

    Hossain, S. and Muttlak, H., Hypothesis tests on the scale parameter using median ranked set sampling, Statistica, 2006, vol. 66, no. 4, pp. 415–434.

    Google Scholar 

  15. 15

    Deshpande, J.V., Frey, J., and Ozturk, O., Nonparametric ranked-set sampling confidence intervals for quantiles of a finite population, Environ. Ecol. Stat., 2006, vol. 13, no. 1, pp. 25–40.

    Article  Google Scholar 

  16. 16

    Murray, R., Ridout, M., and Cross, J., The use of ranked set sampling in spray deposit assessment, Aspects Appl. Biol., 2000, vol. 57, pp. 141–146.

    Google Scholar 

  17. 17

    Wolfe, D.A., Ranked set sampling: Its relevance and impact on statistical inference, ISRN Probab. Stat., 2012, vol. 2012, pp. 1–32.

    Article  Google Scholar 

  18. 18

    Jordan in Figures 2017, Jubeiha: Dep. Stat., 2017, pp. 1–22.

  19. 19

    Miyahuna: Annual report, 2016. http://miyahuna.com.jo/ar/.

  20. 20

    Yarmouk Water Company: Annual report, 2017. http://www.yw.com.jo/en/publications.

  21. 21

    Frank, P., Philipp, D., et al., Feasibility Study on Decentralized Wastewater Treatment and Reuse Clusters on Regional Scale in Jordan (NICE), Leipzig: Helmholtz Centre Environ. Res., 2014, pp. 45–67.

  22. 22

    Kushwah, S.P.S., Rawat, K., and Gupta, P., Analysis and comparison of efficient techniques of clustering algorithms in data mining, Int. J. Innovative Technol. Explor. Eng., 2012, vol. 1, pp. 2278–3075.

    Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to M. K. Younes.

About this article

Verify currency and authenticity via CrossMark

Cite this article

Younes, M.K. Integration of Mathematical Median Ranked Set Sample and Decision Making AHP Tools to Enhance Decentralized Wastewater Treatment System. J. Water Chem. Technol. 42, 472–479 (2020). https://doi.org/10.3103/S1063455X20060132

Download citation

Keywords:

  • decentralized wastewater treatment
  • Multi Criteria Decision Making
  • AHP
  • RSS