Prediction of water quality from simple field parameters

Environmental Earth Sciences

Volumn 69, Issue 3, 2013, Pages 821-829

  Verma, A K ^a   Singh, T N ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Artificial Neural Network (ANN); Biochemical oxygen demand (BOD); Chemical oxygen demand (COD); pH; Total suspended solids (TSS)

Indexed keywords

BIOCHEMICAL OXYGEN DEMANDS (BOD); BIOLOGICAL OXYGEN DEMAND; EMPIRICAL METHOD; FIELD PARAMETERS; JHARIA COALFIELD; TOTAL DISSOLVED SOLIDS; TOTAL SUSPENDED SOLIDS; WATER QUALITY PARAMETERS;

BIOCHEMICAL OXYGEN DEMAND; COAL DEPOSITS; GROUNDWATER; NEURAL NETWORKS; PH;

WATER QUALITY;

ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; CHEMICAL OXYGEN DEMAND; COAL MINING; DATA SET; DISSOLVED LOAD; DISSOLVED OXYGEN; PARAMETERIZATION; PH; PREDICTION; SUSPENDED LOAD; WATER QUALITY;

BIHAR; INDIA; JHARIA COALFIELD;

EID: 84877660994     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-012-1967-6     Document Type: Article

References (32)

1. ASTM D5358-93 (2009) Standard practice for sampling with a dipper or pond sampler. doi: 10. 1520/D5358-93R09.
2. ASTM D6238-98 (2011) Standard test method for total oxygen demand in water. doi: 10. 1520/D6238-98R11.
3. Barnes D, Forster CF, Hrudey SE (1987) Surveys in industrial wastewater treatment: manufacturing and chemical industries. Pittman Publishing Limited, London, pp 1-214.
4. Boyd CE (1982) Water quality management for pond fish culture. Developments in aquaculture and fisheries science, vol 9. Elsevier, Amsterdam, p 318.
5. Central Ground Water Board (2009) Ground water information booklet, (http://cgwb. gov. in/District_Profile/Jharkhand/Dhanbad. pdf).
6. Central Pollution Control Board (CPCB) (2012) Water quality criteria, http://www. cpcb. nic. in/Water_Quality_Criteria. php.
7. Govindaraju RS, Rao AR (2000) Introduction in artificial neural networks in hydrology. Kluwer, Dordrecht, pp 1-7.
8. Hopfield J (1982) Neural networks and physical systems with emergent collective computational abilities. Proc Natl Acad Sci 79: 2554-2558.
9. Jang JSR, Sun CT, Mizutani E (1997) Neuro-fuzzy and soft computing. Prentice-Hall, Englewood Cliffs.
10. Jingsheng C, Tao Y, Ongley E (2006) Influence of high levels of total suspended solids on measurement of COD and BOD in the Yellow River. China Environ Monit Assess 116(1-3): 321-334.
11. Kunhikrishnan A, Bolan NS, Müller K, Laurenson S, Naidu R, Won-I K (2012) Chapter five-the influence of wastewater irrigation on the transformation and bioavailability of heavy metal(loid)s in soil. Adv Agron 115: 215-297.
12. Liang-qi Lei, Ci-an Song, Xiang-li Xie, Yan-hong Li, Fei Wang (2010) Acid mine drainage and heavy metal contamination in groundwater of metal sulfide mine at arid territory (BS mine, Western Australia). Trans Nonferrous Metals Soc China 20(8): 1488-1493.
13. Lindstrom HL, Abrahammson O, Johnson H (1999) An empirical model for the prediction of lake water suspended particulate matter. Ecol Model 121: 185-198.
14. Maier HR, Dandy GC (2000) Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ Model Softw 15(1): 101-124.
15. Mehrotra K, Chilukiri KM, Ranka S (2000) Elements of artificial neural network oxygen budgets in macrophyte impacted streams. Water Res 16: 1037-1046.
16. Metz CR (1988) Schaum's outline of physical chemistry. McGraw-Hill, USA, p 159.
17. Monjezi M, Amir B, Ali Yazdian V, Ahmad Reza S (2011) Prediction and controlling of flyrock in blasting operation using artificial neural network. Arabian J Geosci 4(3-4): 421-425.
18. Petit GD (1973) Effects of dissolved oxygen on survival and behavior of selected fishes of western Lake Erie. Bull Ohio Biol Surv 4: 1-76.
19. Ratnakar D, Singh VS, Hodlur GK (2008) Impact assessment of chromite mining on groundwater through simulation modeling study in Sukinda chromite mining area, Orissa, India. J Hazard Mater 160(2-3): 535-547.
20. ReVelle P, ReVelle C (1988) The environment: issues and choices for society, 3rd edn. Jones and Bartlett Publishers, Boston 749.
21. Singh TN, Verma AK (2005) Prediction of creep characteristic of rock under varying environment. Environ Geol Springer Publ 48(4-5): 559-568.
22. Singh TN, Verma AK (2011) Comparative analysis of intelligent algorithms to correlate strength and petrographic properties of some schistose rocks. Eng Comput. doi: 10. 1007/s00366-011-0210-5.
23. Singh TN, Kanchan R, Saigal K, Verma AK (2004) Prediction of P-wave velocity and anisotropic property of rock using artificial neural network technique. J Sci Ind Res 63(1): 32-38.
24. Singh TN, Singh VK, Sinha S (2006) Prediction of cadmium removal using an artificial neural network and a Neuro-Fuzzy technique. Mine Water Environ J IMWA 25: 214-219.
25. Singh TN, Verma AK, Sharma PK (2007) A Neuro-genetic approach for prediction of time dependent deformational characteristic of rock and its sensitivity analysis. Geotech Geol Eng 25: 395-407.
26. Singh AK, Sharma M, Singh MP (2008) Genesis of natural cokes: some Indian examples. Int J Coal Geol 75(1): 40-48.
27. Sreekanth PD, Sreedevi PD, Shakeel Ahmed (2011) Comparison of FFNN and ANFIS models for estimating groundwater level. Environ Earth Sci 62(6): 1301-1310.
28. Verma AK, Singh TN (2012a) Comparative study of cognitive systems for ground vibration measurements. Neural comput Appl. doi: 10. 1007/s00521-012-0845.
29. Verma AK, Singh TN (2012b) A Neuro-Fuzzy approach for prediction of longitudinal wave velocity. Neural Comput Appl. doi: 10. 1007/s00521-012-0817-5.
30. Wang Z, Wu Q, Zhang Y (2011) Confined groundwater pollution mechanism and vulnerability assessment in oilfields, North China. Environ Earth Sci 64(6): 1547-1553.
31. Wu X, Westerervelt JD (1991) Engineering application of neural computing: a state of art survey. USACERL Special Report No-91/22, University of Illinois, Champaign.
32. Tchobanoglous G, Burton FL, Stensel HD (2003) Meltcalf & Eddy, Inc.'s Wastewater engineering: treatment, disposal, and reuse, 4th edn. McGraw-Hill, Inc., New York, p 181.