Main Article Content

Abstract

Purpose of the study: The purpose of the study is to calculate the water pollution level of a source. Because water pollution is a very big problem in front of us.  Mining and the related activities are responsible for large scale water pollution.


Methodology: The problem of water pollution control (WPC) may be treated as a multiple objective decision making problem. This paper deals with use of fuzzy linear programming in water pollution control problem. Min operator has been used to construct the overall achievement function. A semi hypothetical case has been studied with regard to mining vis-a-vis water pollution.


Main Findings: After calculation and using all the methods the main finding is that total WPC cost is 54411.12 units.


Applications of this study: We can use this method of water purification to purify the big source of water supply. After using this method the cost of water purification can be calculated and minimized.


Novelty/Originality of this study: This calculation is based on the secondary data source and this can help the system to use the proper method and calculation of expense in purifying water.

Keywords

Water pollution control Min operator Fuzzy goals

Article Details

How to Cite
Kumari, N., & Burnwal, A. P. (2022). Fuzzy Linear programming approach in Water Pollution Control. International Journal of Students’ Research in Technology & Management, 10(3), 21–24. https://doi.org/10.18510/ijsrtm.2022.1034

References

  1. Burnwal, A.P. & Dey, U.K. (2002). Application of fuzzy goals in water pollution control, Souvenir, A seminar on EIWRD.
  2. Fitch, W.N., King P.H. and Young, G.K.(1970). The optimization of a multipurpose water resources system. Water Resource. Bull., 6, 498-518. https://doi.org/10.1111/j.1752-1688.1970.tb00510.x DOI: https://doi.org/10.1111/j.1752-1688.1970.tb00510.x
  3. Revelle, C.S., Loucks, D.P. and Lynn, W.R.(1968). Linear programming applied to water quality management. Water Resource Res., 4, 1-9. https://doi.org/10.1029/WR004i001p00001 DOI: https://doi.org/10.1029/WR004i001p00001
  4. Sobel, M.J.(1965). Water quality improvement programming problems. Water Re-source, Res., 1, 477-487. https://doi.org/10.1029/WR001i004p00477 DOI: https://doi.org/10.1029/WR001i004p00477
  5. Yu, P., and Chen, C. (2000). Application of gray and fuzzy methods for rainfull forecasting. Journal of Hydro, Engineering, 339-345. https://doi.org/10.1061/(ASCE)1084-0699(2000)5:4(339) DOI: https://doi.org/10.1061/(ASCE)1084-0699(2000)5:4(339)
  6. Zimmermann, H. J. (1978). Fuzzy programming and linear programming with several objective. Fuzzy set and system, 1, 46. https://doi.org/10.1016/0165-0114(78)90031-3 DOI: https://doi.org/10.1016/0165-0114(78)90031-3