Spatial quality improvement of a toxic industrial effluent, based on physico-chemistry, algal community changes and algal bioassay

References

• Aloi JE. 1990. A critical review of recent freshwater periphyton field methods. Canadian Journal of Fisheries and Aquatic Sciences 47: 656–670.
   Web of Science ®Google Scholar
• APHA (American Public Health Association). 2005. Standard methods for the examination of water and wastewater (21st edn). Washington, DC: American Public Health Association, American Water Works Association, Water Pollution Control Federation.
   Google Scholar
• Azizullah A, Richter P, Häder D-P. 2011. Ecotoxicological evaluation of wastewater samples from Gadoon Amazai Industrial Estate (GAIE), Swabi, Pakistan. International Journal of Environmental Sciences 1: 959–976.
   Google Scholar
• Barbour MT, Stribling JB, Karr JR. 1995. Multimetric approach for establishing biocriteria and measuring biological condition. In: Davis WS, Simon TP (eds), Biological assessment and criteria: tools for water resource planning and decision making. Boca Raton, Florida: Lewis Publishers. pp 63–77.
   Google Scholar
• Biggs BJF. 1989. Biomonitoring of organic pollution using periphyton. South Branch, Canterbury, New Zealand. New Zealand Journal of Marine and Freshwater Research 23: 263–274.
   Web of Science ®Google Scholar
• Biggs BJF. 2000. New Zealand periphyton guideline: detecting, monitoring and managing enrichment of streams. Christchurch: NIWA, Ministry for the Environment.
   Google Scholar
• Bourrelly P. 1981. Les Algues d'Eau Douce. Tome II. Les Algues Jaunes et Brunes, Chromophycees, Chrysophycees, Phéophycées, Xanthophycées et Diatomées (2nd edn). Paris: N Boubée et Cie.
   Google Scholar
• Bourrelly P. 1986. Les Algues d'Eau Douce. Tome III. Les Algues Bleues et Rouges, Les Eugléniens, Peridiniens et Cryptomonadines (2nd edn). Paris: N Boubée et Cie.
   Google Scholar
• Bourrelly P. 1990. Les Algues d'Eau Douce. Tome I. Les Algues Vertes (2nd edn). Paris: N Boubée et Cie.
   Google Scholar
• Carpenter KD, Waite IR. 2000. Relations of habitat-specific algal assemblages to land use and water chemistry in the Willamette Basin, Oregon. Environmental Monitoring and Assessment 64: 247–257.
   Web of Science ®Google Scholar
• Carrick HJ, Lowe RL, Rotenberry JT. 1988. Guilds of benthic algae along nutrient gradients: relationships to algal community diversity. Journal of the North American Benthological Society 7: 117–128.
   Google Scholar
• Chellappa NT, Câmara FRA, Rocha O. 2009. Phytoplankton community: indicator of water quality in the Armando Ribeiro Gonçalves reservoir and Pataxó channel, Rio Grande do Norte, Brazil. Brazilian Journal of Biology 69: 241–251.
   PubMed Web of Science ®Google Scholar
• Chutter FM. 1998. Research on the rapid biological assessment of water quality impacts in streams and rivers. WRC Report No. 422/1/98. Pretoria: Water Research Commission.
   Google Scholar
• Clarke G, Kernan M, Marchetto A, Sorvari S, Catalan J. 2005. Using diatoms to assess geographical patterns of change in high-altitude European lakes from pre-industrial times to the present day. Aquatic Sciences 67: 224–236.
   Web of Science ®Google Scholar
• Coring E. 1999. Situation and developments of algal (diatom)-based techniques for monitoring rivers in Germany. In: Prygiel J, Whitton BA, Bukowska J (eds), Use of algae for monitoring rivers III. Proceedings of an International Symposium, 29 September–1 October 1997, Douai, France. France: Agence de l'Artois-Picardie. pp 122–127.
   Google Scholar
• Coste M, Ayphassorho H. 1991. Etude de la qualité des eaux du Basin Artois-Picardie á l'aide des communautés de diatomées benthiques (Application des indices diatomiques). Rapport Cemagref. Bordeaux-Agence de l'Eau Artois-Picardie, Douai. 227 pp.
   Google Scholar
• Coste M, Bosca C, Dauta A. 1991. Use of algae for monitoring rivers in France. In: Whitton BA, Rott E, Friedrich G (eds), Use of algae for monitoring rivers. Innsbruck: Institut für Botanik, Universität Innsbruck. pp 75–88.
   Google Scholar
• Descy JP. 1979. A new approach to water quality estimation using diatoms. Nova Hedwigia Beihefte 64: 305–323.
   Google Scholar
• Desikachary TV. 1959. Cyanophyta. New Delhi: Indian Council for Agricultural Research.
   Google Scholar
• Flinders CA, Minshall GW, Hall TJ, Rodgers JH Jr. 2009. Spatial and temporal patterns of periphyton chlorophyll a related to pulp and paper mill discharges in four US receiving streams. Integrated Environmental Assessment and Management 5: 259–269.
   PubMedGoogle Scholar
• Fore LS. 2010. Evaluation of stream periphyton as indicators of biological condition for Florida streams. Report to Russel Frydenborg and Nijole Wellendorf, Florida Department of Environmental Protection, Tallahassee, Florida.
   Google Scholar
• Gray JS. 1980. The measurement of effects of pollutants on benthic communities. In: McIntyre AD, Pearce JB (eds), Biological effects of marine pollution and the problems of monitoring. Rapports et procès-verbaux des réunions / Conseil Permanent International pour l'Exploration de la Mer 179. Copenhagen: International Council for the Exploration of the Sea. pp 188–193.
   Google Scholar
• Grover JP, Sterner RW, Robinson JL. 1999. Algal growth in warm temperate reservoirs: nutrient-dependent kinetics of individual taxa and seasonal patterns of dominance. Archiv für Hydrobiologie 145: 1–23.
   Google Scholar
• Guhl W. 1987. Aquatic ecosystem characterisation by biotic indices. Internationale Revue Gesamten Hydrobiologie 72: 431–455.
   Google Scholar
• ISO (International Organisation for Standardization). 1999. Nomenclature Selenastrum capricornutum. ISO/TC 147/SC 5/ WGN/82. Geneva: ISO.
   Google Scholar
• ISO (International Organisation for Standardization). 2005. Water quality – freshwater algal growth inhibition test with unicellular green algae. Geneva: ISO.
   Google Scholar
• Jongman RHG, ter Braak CJF, van Tongeren OFR. 1987. Data analysis in community and landscape ecology. Wageningen: Pudoc.
   Google Scholar
• Kahler-Royer CA. 1999. A water quality index devised for the Des Moines River in central Iowa. MSc thesis, Iowa State University, USA.
   Google Scholar
• Karr JR. 1991. Biological integrity: a long-neglected aspect of water resource management. Ecological Applications 1: 66–84.
   PubMed Web of Science ®Google Scholar
• Karr JR, Allen JD, Benke AC. 2000. River conservation in the United States and Canada. In: Boon PJ, Davies BR, Petts GE (eds), Global perspectives on river conservation: science, policy, and practice. New York: Wiley. pp 3–39.
   Google Scholar
• Kelly MG. 1998. Use of the trophic index to monitor eutrophication in rivers. Water Research 32: 236–242.
   Web of Science ®Google Scholar
• Kelly MG, Adams C, Graves AC, Jamieson J, Krokoeski J, Lycett EB, Murray-Bligh J, Pritchard S, Wilkins C. 2001. The trophic diatom index: a user's manual. Bristol: Environment Agency.
   Google Scholar
• Kolenati FA. 1848. ber den nützen und schaden der Trichopteren. Stettiner Entomologische Zeitung 9: 50–52.
   Google Scholar
• Komárek J, Fott B. 1983. Chlorophyceae (Grünalgen), ordung: Chlorococcales. In: Huber G (ed.), Das phytoplankton des Süsswassers, systematik und biologie. Stuttgart: Pestalozzi.
   Google Scholar
• Krammer K, Lange-Bertalot H. 1988. Süßwasserflora von Mitteleuropa. Band 2. Bacillariophyceae. Teil 2. Bacillariaceae, Epithemiaceae, Surirellaceae. Stuttgart: Gustav Fischer Verlag.
   Google Scholar
• Leland HV. 1995. Distribution of phytobenthos in the Yakima River basin, Washington, in relation to geology, land use, and other environmental factors. Canadian Journal of Fisheries and Aquatic Sciences 52: 1108–1129.
   Web of Science ®Google Scholar
• Leland HV, Carter JL. 1985. Effects of copper on production of periphyton, nitrogen fixation and processing of leaf litter in a Sierra Nevada, California, stream. Freshwater Biology 15: 155–173.
   Web of Science ®Google Scholar
• McCormick PV, Cairns J Jr. 1994. Algae as indicators of environmental change. Journal of Applied Phycology 6: 509–526.
   Web of Science ®Google Scholar
• Michelutti N, Holtham AJ, Douglas MSV, Smol JP. 2003. Periphytic diatom assemblages from ultra-oligotrophic and UV transparent lakes and ponds on Victoria Island, and comparisons with other diatom surveys in the Canadian Arctic. Journal of Phycology 39: 465–480.
   Web of Science ®Google Scholar
• Miller WE, Greene JC, Shiroyama T. 1978. The Selenastrum capricornutum algal assay bottle test: experimental design, application and data interpretation protocol. EPA-600/9-78-018, US Environmental Protection Agency, Corvallis, Oregon.
   Google Scholar
• Nygaard G. 1976. Tavlerne fra Dansk planteplankton. Copenhagen: Forlag AS.
   Google Scholar
• OECD (Organization for Economic Cooperation and Development). 2002. Guidelines for the testing of chemicals. Draft revised guideline 201 (freshwater algae and cyanobacteria, growth inhibition test). Paris: OECD.
   Google Scholar
• Orhon D, Babuna FG, Kabdasl I, Insel FG, Karahan O, Dulkadiro H, Doruel S, Sevimil F, Yediler A. 2001. A scientific approach to wastewater recovery and reuse in the textile industry. Water Science and Technology 43: 223–231.
   PubMed Web of Science ®Google Scholar
• Palmer CM. 1969. A composite rating of algae tolerating organic pollution. Journal of Phycology 5: 78–82.
   PubMed Web of Science ®Google Scholar
• Palmer CM. 1980. Algae and water pollution: the identification, significance, and control of algae in water supplies and in polluted water. London: Castle House Publications.
   Google Scholar
• Pan Y, Stevenson RJ, Hill BH, Herlihy AT, Collins GB. 1996. Using diatoms as indicators of ecological conditions in lotic systems: a regional assessment. Journal of the North American Benthological Society 15: 481–495.
   Web of Science ®Google Scholar
• Pantle R, Buck H. 1955. Die biologische Überwachung der Geswässer und die Darstellung der Ergebnisse. Gas und Wasserfach 96.
   Google Scholar
• Peltier WH, Weber CI. 1985. Methods for measuring the acute toxicity of effluents to freshwater and marine organisms (3rd edn). EPA/600/4-85/013. Cincinnati, Ohio: Environmental Monitoring and Support Laboratory, Office of Research and Development, US Environmental Protection Agency.
   Google Scholar
• Potapova M, Charles DF. 2003. Distribution of benthic diatoms in U.S. rivers in relation to conductivity and ionic composition. Freshwater Biology 48: 1311–1328.
   Web of Science ®Google Scholar
• Prescott GW. 1978. How to know the freshwater algae (3rd edn). Dubuque, Iowa: Wm C Brown.
   Google Scholar
• Priscu JC, Verduin J, Deacon JE. 1982. Primary productivity and nutrient balance in a lower Colorado River reservoir. Archiv für Hydrobiologie 94: 1–23.
   Google Scholar
• Rai LC, Gaur JP, Kumar HD. 1981. Phycology and heavy metal pollution. Biological Reviews of the Cambridge Philosophical Society 56: 99–151.
   Web of Science ®Google Scholar
• Reynolds CS. 1984. What is phytoplankton? In: Reynolds CS (ed.), The ecology of freshwater phytoplankton. Cambridge: Cambridge University Press. pp 1–28.
   Google Scholar
• Roch M, Nordin RN, Austin A, McKean CJP, Deniseger RD, Kathman RD, McCarter JA, Clark MJPL. 1985. The effects of heavy metal contamination on the aquatic biota of Buttle Lake and the Campbell River drainage (Canada). Archives of Environmental Contamination and Toxicology 14: 347–362.
   PubMedGoogle Scholar
• Round FE. 1981. The ecology of algae. Cambridge: Cambridge University Press.
   Google Scholar
• Rumeau A, Coste M. 1988. Initiation á la systématique des diatomées d'eau douce. Pour l'utilization d'un indice diatomique pratique. Bulletin Français de la Pêche et de la Pisciculture 309: 1–69.
   Google Scholar
• Schräder T. 1959. Die aufgaben der biologie in der wassergüte – wirtschaft. Deutsche Akademie der Wissenschaften zu Berlin 1: 188–194.
   Google Scholar
• Shannon CW, Weaver W. 1963. The mathematical theory of communication. Urbana: University of Illinois Press.
   Google Scholar
• Sharma NK, Bhardwaj S. 2011. An assessment of seasonal variation in phytoplankton community of Mahi River (India). Geneconserve 10: 154–164.
   Google Scholar
• Sheehan JP. 1984. Effects of pollutants on community and ecosystem structure and dynamics. In: Sheehan JP, Miller DR, Butler GC, Bourdeau PH (eds), Effects of pollutants at the ecosystem level. New York: John Wiley and Sons. pp 51–99.
   Google Scholar
• Skulberg OM. 1964. Algal problems related to the eutrophication of European water supplies, and a bioassay method to assess fertilizing influences of pollution of inland waters. In: Jackson DF (ed.), Algae and man. New York: Plenum Press. pp 262–299.
   Google Scholar
• Sládeček V. 1973. Systems of water quality from the biological point of view. Archiv für Hydrobiologie – Beiheft Ergebnisse der Limnologie 7((I–IV)): 1–218.
   Google Scholar
• Sládeček V. 1979. Continental systems for the assessment of river water quality. In: James A, Evison L (eds), Biological indicators of water quality. New York: John Wiley and Sons. pp 3/1–3/32.
   Google Scholar
• Stephen R, Moulton II, Jonathan G, Robert MG, Julie AH. 2002. Revised protocols for sampling algal, invertebrate and fish communities as part of the National Water-Quality Assessment Program: United States Geological Survey, Open-File Report 02-150.
   Google Scholar
• Stevenson RJ, Lowe RL. 1986. Sampling and interpretation of algal patterns for water quality assessments. In: Isom BG (ed.), Rationale for sampling and interpretation of ecological data in the assessment of freshwater ecosystems. ASTM STP 894. Philadelphia: American Society of Testing and Materials. pp 118–149.
   Google Scholar
• Stevenson RJ, Pan Y. 1999. Assessing environmental conditions in rivers and streams with diatoms. In: Stoermer EF, Smol JP (eds), The diatoms: applications for the environmental and earth sciences. Cambridge: Cambridge University Press. pp 11–40.
   Google Scholar
• Stub R, Appling JW, Hatstetter AM, Hass IJ. 1970. The effect of industrial waste of Memphis and Shelby country on primary planktonic producers. Bioscience 20: 905–912.
   Web of Science ®Google Scholar
• ter Braak CJF. 1987. CANOCO – A FORTRAN program for canonical community ordination by [partial] [detrended] [canonical] correspondence analysis, principal components analysis and redundancy analysis (version 2.1). Wageningen: Institute of Applied Computer Science–Netherlands Organisation for Applied Scientific Research (ITI–TNO).
   Google Scholar
• Train ET. 1979. Quality criteria for water. London: Castle House.
   Google Scholar
• Utermöhl H. 1958. Zur vervolkommnung der quantitativen phytoplankton methodik. Mitteilungen Internationale Vereinigung für Theoretische und Angewandte Limnologie 9: 1–39.
   Google Scholar
• Uttah EC, Uttah C, Akpan PA, Ikpeme EM, Ogbeche J, Usip L, Asor J. 2008. Bio-survey of plankton as indicators of water quality for recreational activities in Calabar River, Nigeria. Journal of Applied Sciences and Environmental Management 12: 35–42.
   Google Scholar
• Walsh GE, Deans CH, McLaughlin LL. 1987. Comparison of four methods for calculating the EC50 from algal population growth. Environmental Toxicology and Chemistry 6: 767–770.
   Web of Science ®Google Scholar
• Wan Maznah WO. 2010. Perspectives on the use of algae as biological indicators for monitoring and protecting aquatic environments, with special reference to Malaysian freshwater ecosystems. Tropical Life Sciences Research 21: 51–67.
   Google Scholar
• Whalen SC, Leathe SA, Gregory RW. 1985. Phytoplankton primary production, standing crop, and species succession in the Tongue Reservoir, Montana. Archiv für Hydrobiologie 104: 493–511.
   Google Scholar
• Wilhm JL. 1975. Biological indicators of pollution. In: Whitton BA (ed.), River ecology. Blackwell: Oxford. pp 375–400.
   Google Scholar
• Winter JG, Duthie HC. 2000. Epilithic diatoms as indicators of stream total N and total P concentration. Journal of the North American Benthological Society 19: 32–49.
   Web of Science ®Google Scholar
• Yagow G, Wilson B, Srivastava P, Obropta CC. 2006. Use of biological indicators in TMDL, assessment and implementation. American Society of Agricultural and Biological Engineers 49: 1023–1032.
   Web of Science ®Google Scholar
• Zelinka M, Marvan P. 1961. Zur präzisierung der biologischen klassifikation des Reinheit fliessender Gewasser. Archiv für Hydrobiologie 57: 389–407.
   Google Scholar