JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Rubbish, Stink, and Death: The Historical Evolution, Present State, and Future Direction of Water-Quality Management and Modeling
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
  • Journal title : Environmental Engineering Research
  • Volume 16, Issue 3,  2011, pp.113-119
  • Publisher : Korean Society of Environmental Engineering
  • DOI : 10.4491/eer.2011.16.3.113
 Title & Authors
Rubbish, Stink, and Death: The Historical Evolution, Present State, and Future Direction of Water-Quality Management and Modeling
Chapra, Steven C.;
  PDF(new window)
 Abstract
This study traces the origin, evolution, and current state-of-the-art of engineering-oriented water-quality management and modeling. Three attributes of polluted water underlie human concerns for water quality: rubbish (aesthetic impairment), stink (ecosystem impairment), and death (public health impairment). The historical roots of both modern environmental engineering and water-quality modeling are traced to the late nineteenth and early twentieth centuries when European and American engineers worked to control and manage urban wastewater. The subsequent evolution of water-quality modeling can be divided into four stages related to dissolved oxygen (1925-1960), computerization (1960-1970), eutrophication (1970-1977) and toxic substances (1977-1990). Current efforts to integrate these stages into unified holistic frameworks are described. The role of water-quality management and modeling for developing economies is outlined.
 Keywords
Environmental engineering;Water-quality management;Water-quality modeling;
 Language
English
 Cited by
1.
Decision Support Models for Assessing the Impact of Aquaculture on River Water Quality, Journal of Environmental Engineering, 2016, 142, 10, 03116001  crossref(new windwow)
2.
The Swedish monitoring of surface waters: 50 years of adaptive monitoring, AMBIO, 2014, 43, S1, 3  crossref(new windwow)
3.
Model-Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 1. Model Development and Application, JAWRA Journal of the American Water Resources Association, 2015, 51, 2, 421  crossref(new windwow)
 References
1.
Diamond JM. Guns, germs, and steel: the fates of human societies. New York, NY: W.W. Norton & Co.; 1997.

2.
Johnson S. The ghost map: the story of London's most terrifying epidemic--and how it changed science, cities, and the modern world. New York, NY: Riverhead Books; 2006.

3.
Streeter HW, Phelps EB. A study of the pollution and natural purification of the Ohio River. Public Health Bulletin no. 146. Washington, DC: United States Public Health Service; 1925.

4.
O'Connor DJ. Oxygen balance of an estuary. J. Sanit. Eng. Div. ASCE 1960;86:35-55.

5.
O'Connor DJ. The temporal and spatial distribution of dissolved oxygen in streams. Water Resour. Res. 1967;3:65-79. crossref(new window)

6.
Velz CJ. Deoxygenation and reoxygenation. Proc. Am. Soc. Civ. Eng. 1938;65:677-680.

7.
Velz CJ. Factors influencing self-purification and their relation to pollution abatement. Sewage Works J. 1947;19:629-644.

8.
Mancini JL. Numerical estimates of coliform mortality rates under various conditions. J. Water Pollut. Control Fed. 1978;50:2477-2484.

9.
O'Connor DJ. The bacterial distribution in a lake in the vicinity of a sewage discharge. In: Proceedings of the 2nd Purdue Industrial Waste Conference; 1962; West Lafayette, IN.

10.
Thomann RV. Mathematical model for dissolved oxygen. J. Sanit. Eng. Div. ASCE 1963;89:1-30.

11.
Deininger RA. Water quality management: the planning of economically optimal control systems. In: Proceedings of the First Annual Meeting of the American Water Resources Association; 1965; Urbana, IL.

12.
Loucks DP, Stedinger JR, Haith DA. Water resource systems planning and analysis. Englewood Cliffs, NJ: Prentice-Hall; 1981.

13.
ReVelle CS, Loucks DP, Lynn WR. A management model for water quality control. J. Water Pollut. Control Fed. 1967;39:1164-1183.

14.
Thomann RV. Estuarine water quality management and forecasting. J. Sanit. Eng. Div. ASCE 1964;90:9-36.

15.
Riley GA. Factors controlling phytoplankton population in Georges Bank. J. Mar. Res. 1946;6:104-113.

16.
Steele JH. Environmental control of photosynthesis in the sea. Limnol. Oceanogr. 1962;7:137-150. crossref(new window)

17.
Canale RP, DePalma LM, Vogel AH. A plankton-based food web model for Lake Michigan. In: Canale RP, ed. Modeling biochemical processes in aquatic ecosystems. Ann Arbor, MI: Ann Arbor Science; 1976. p. 33.

18.
Canale RP, Hineman DF, Nachiappan S. A biological production model for Grand Traverse Bay. Sea grant technical report no. 37. Ann Arbor, MI: University of Michigan; 1974.

19.
Chen CW. Concepts and utilities of ecological models. J. Sanit. Eng. Div. ASCE 1970;96:1085-1097.

20.
Chen CW, Orlob GT. Ecological simulation for aquatic environments. In: Patten BC, ed. Systems analysis and simulation in ecology. Vol. 3. New York, NY: Academic Press; 1975.

21.
Di Toro DM, Thomann RV, O'Connor DJ. A dynamic model of phytoplankton population in the Sacramento-San Joaquin Delta. In: Hem JD, American Chemical Society, Division of Water Air and Waste Chemistry, eds. Nonequilibrium systems in natural water chemistry: a symposium sponsored by the Division of Water, Air, and Waste Chemistry of the American Chemical Society at Houston, Texas, February 24-25, 1970. Washington, DC: American Chemical Society; 1971. p. 131.

22.
Chapra SC. Toxicant-loading concept for organic contaminants in lakes. J. Environ. Eng. 1991;117:656-677. crossref(new window)

23.
O'Connor DJ. Models of sorptive toxic substances in freshwater systems. I. Basic equations. J. Environ. Eng. 1988;114:507-532. crossref(new window)

24.
Reckhow KH, Chapra SC. Engineering approaches for lake management. Vol. 2. Mechanistic modeling. Boston, MA: Butterworth Publishers; 1983.

25.
Thomann RV, Di Toro DM. Physico-chemical model of toxic substances in the Great Lakes. J. Great Lakes Res. 1983;9:474-496. crossref(new window)

26.
Thomann RV. Equilibrium model of fate of microcontaminants in diverse aquatic food chains. Can. J. Fish. Aquat. Sci. 1981;38:280-296. crossref(new window)

27.
Felmy AR, Girvin DC, Jenne EA. MINTEQ: a computer program for calculating aqueous geochemical equilibria [EPA-600/3-84-032]. Athens: US Environmental Protection Agency; 1984.

28.
Parkhurst DL, Thorstenson DC, Plummer LN. PHREEQE: a computer program for geochemical calculations. Revised and reprinted August 1990 ed. Reston, VA: U.S. Geological Survey; 1990.

29.
Westall JC, Zachary JL, Morel FMM. MINEQL: a computer program for the calculation of chemical equilibrium composition of aqueous systems. Technical note no. 18. Cambridge: Water Quality Laboratory, Ralph M. Parsons Laboratory for Water Resources and Environmental Engineering, Department of Civil Engineering, Massachusetts Institute of Technology; 1976.

30.
Runkel RL. One-dimensional transport with inflow and storage (OTIS): a solute transport model for streams and rivers. Water-resources investigations report no. 98-4018. Denver, CO: U.S. Department of the Interior; 1998.

31.
Runkel RL, Bencala KE, Broshears RE, Chapra SC. Reactive solute transport in streams: 1. development of an equilibrium-based model. Water Resour. Res. 1996;32:409-418. crossref(new window)

32.
Chapra S. Engineering water quality models and TMDLs. J. Water Resour. Plann. Manage. 2003;129:247-256. crossref(new window)

33.
Hamilton DP, Schladow SG. Prediction of water quality in lakes and reservoirs. Part I. Model description. Ecol. Model. 1997;96:91-110. crossref(new window)

34.
Park RA, Clough JS, Wellman MC. AQUATOX: modeling environmental fate and ecological effects in aquatic ecosystems. Ecol. Model. 2008;213:1-15. crossref(new window)

35.
Pelletier GJ, Chapra SC, Tao H. QUAL2Kw: a framework for modeling water quality in streams and rivers using a genetic algorithm for calibration. Environ. Model. Softw. 2006;21:419-425. crossref(new window)