Application of Lime and Alum to Stormwater Retention Lakes to Improve Water Quality

1992 ◽  
Vol 27 (2) ◽  
pp. 365-382 ◽  
Author(s):  
J. Babin ◽  
E. E. Prepas ◽  
Y. Zhang
Keyword(s):  
Water Quality ◽  
Algal Biomass ◽  
Algal Growth ◽  
Open Water ◽  
Buffering Capacity ◽  
Point Sources ◽  
Filamentous Algae ◽  
Chemical Treatments ◽  
Improve Water Quality ◽  
Stormwater Retention

Abstract Urban stormwater retention lakes receive enormous amounts of nutrients from point (sewers) and non-point (domestic runoff) sources. Water quality in these lakes is poor and characterized by: 1) high phosphorus concentrations and algal biomass, 2) poor buffering capacity (alkalinity as low as 60 mg/L as CaCO3); and 3) high pH (often greater than 9). Thus chemical treatments which alter pH will have to be carefully considered. Recently, we used lime (Ca(OH)2) and/or alum (Al2(SO4)3·14H2O) to reduce phosphorus concentrations in the water column and precipitate out particulate matter. Of the two chemical treatments, we found that a lime/alum mixture was better at controlling macrophytes and shoreline filamentous algae, but alum was better at controlling planktonic algal growth and turbidity. A combination of both chemicals, lime which elevates pH and alum which lowers pH, is used to maintain pH within a desirable range (6-10). Overall water quality can be improved through the application of alum/lime mixtures, however, these applications will have to be applied routinely throughout the open-water season due to continuous inputs of nutrients from point- and non-point sources.

Assessment of Stormwater Retention Basin Water Quality in Winnipeg, Canada

2003 ◽  
Vol 38 (3) ◽  
pp. 433-450 ◽  
Author(s):  
Sarah C. Wakelin ◽  
Panagiotis Elefsiniotis ◽  
David G. Wareham
Keyword(s):  
Water Quality ◽  
Dissolved Oxygen ◽  
Total Phosphorus ◽  
Algal Growth ◽  
Fecal Coliforms ◽  
Coliform Bacteria ◽  
Canada Geese ◽  
Dead Biomass ◽  
Retention Basin ◽  
Stormwater Retention

Abstract The water quality behaviour of 58 stormwater retention basins in Winnipeg, Canada, was intensively studied during a 5-month summer period (May to September). Dissolved oxygen (DO), temperature, turbidity, transparency and depth were measured onsite. Samples analyzed in the laboratory included: total suspended solids (TSS), pH, chlorophyll α, fecal coliforms (FC), total kjeldahl nitrogen (TKN), ammonia, nitrate, total phosphorus (TP) and orthophosphate. Results showed that increases in TSS and turbidity resulted from increased chlorophyll α concentrations associated with algal growth. TKN increases were partly the result of nitrogen incorporation into proteinaceous material in the algal cells. Ammonia concentrations showed a maximum attributed to chemoheterotrophic degradation of dead biomass. Orthophosphate made up 30% to 50% of the total phosphorus present and the two followed the same general trends. Temperature increased and then decreased over the summer months with no apparent thermal stratification. After starting the summer with no dissolved oxygen gradient between top and bottom, depletion of the dissolved oxygen at the bottom of the basins during the latter half of the summer was attributed to chemoheterotrophic degradation of dead biomass. Finally, substantial counts of fecal coliform bacteria occurred in the basins in response to Canada geese migration.

Algal Growth Potential Test: An Indicative Method to Estimate the Influence of Water Quality Changes on the Algal Biomass

1985 ◽  
Vol 17 (8) ◽  
pp. 1403-1405 ◽  
Author(s):  
G. Bolier
Keyword(s):  
Water Quality ◽  
Algal Biomass ◽  
Water Quality Management ◽  
Algal Growth ◽  
Growth Potential ◽  
Quality Changes ◽  
Algal Growth Potential ◽  
Algae Growth ◽  
Influence Of Water ◽  
Potential Test

Algal Growth Potential Tests as known from literature cannot simply be applied in water quality management in the Netherlands; adaptation to the Dutch situation is necessary. Points of research were: pretreatment of the water to be tested, species of test algae, conditions of the cultivation, monitoring of the algae growth.

Mixed Culture Microalgae Removal for Water Quality Improvement Using Chitosan

2020 ◽  
Author(s):  
Gulab Singh ◽  
S. K. Patidar
Keyword(s):  
Water Quality ◽  
Algal Biomass ◽  
Culture Medium ◽  
Mixing Time ◽  
Operational Parameters ◽  
Efficient Removal ◽  
Mixing Rate ◽  
Beneficial Uses ◽  
Improve Water Quality ◽  
Slow Mixing

The presence of microalgae affects water quality and beneficial uses of surface freshwaters. Chitosan with proven potential for harvesting specific microalgae species from their culture medium for producing biofuels and bioproducts appears promising for efficient removal of mixed microalgae species from surface freshwaters also. The main thrust of the present study was on removal of mixed microalgae species using chitosan as a coagulant to help improve water quality. Important operational parameters were optimized for economical microalgae removal. The microalgae cells, chlorophyll-a, TN and TP removal efficiency were 82.06, 89.90, 69.32 and 44.01%, respectively at an optimum chitosan dose of 10 mg/L, pH 8, slow mixing time 7 min, slow mixing rate 30 rpm and settling time of 15 min. The results have shown that chitosan coagulation efficiently removed the mixed microalgae species from surface freshwater with significant improvement in water quality and recovery of algal biomass for other beneficial applications.

INTEGRATED ALGA-CULTURE IN INUNDATED COASTAL FARMLANDS OF INDIAN SUNDARBANS AS A SUSTAINABLE ADAPTATION FOR MARGINAL COMMUNITIES TOWARDS CLIMATE RISK REDUCTION

2017 ◽  
Author(s):  
Dipayan Dey ◽  
Dipayan Dey ◽  
Ashoka Maity ◽  
Ashoka Maity
Keyword(s):  
Coastal Wetlands ◽  
Algal Growth ◽  
Open Water ◽  
Fish Bone ◽  
Algal Flora ◽  
Daily Growth Rate ◽  
Monsoon Period ◽  
Daily Growth ◽  
Culture Techniques ◽  
Tidal Waters

Algae has a great potential for quick capture of biological carbon and its storage in saltwater-inundated coastal wetlands and can also be introduced as a climate adaptive alternate farming practice. An intervention with native algal flora Enteromorpha sp. in enclosed coastal Sundarbans in India on two open water culture techniques, viz. U-Lock & Fish-Bone, shows that growth in native algal stock is influenced by seasonal variations of salinity and other limnological factors. Sundarbans, facing the odds of climate change is fast loosing arable lands to sea level rise. Algaculture in inundated coastal areas can be an adaptive mitigation for the same. Perusal of results show that daily growth rate (DGR%) increases with increasing salinity of the intruding tidal waters to an extent and biomass increment under salt stress results in accumulation of metabolites those are having nutrient values and can yield bio-diesel as well. Algal growth recorded mostly in post monsoon period, has impacts on pH and Dissolved Oxygen (DO) of the ambient water to facilitate integrated pisciculture. The paper suggests that alga-culture has unrealized potentials in carbon sequestration and can be significantly used for extraction of Biodiesel.

Water Quality Prognosis and Cost Analysis of Pollution Abatement Measures in the Rhine Basin (The River Rhine Project: Ever)

1994 ◽  
Vol 29 (3) ◽  
pp. 95-106
Author(s):  
Alfred P. Benoist ◽  
Gerard H. Broseliske
Keyword(s):  
Water Quality ◽  
Pollution Abatement ◽  
Point Sources ◽  
Management Tool ◽  
River Rhine ◽  
Priority Pollutants ◽  
Rhine Basin ◽  
Frame Work ◽  
Water Quality Objectives ◽  
Calculation Models

For priority pollutants, the international Rhine Action Programme (RAP) aims to meet the quality objectives for the Rhine, set by the International Rhine Commission (IRC), by the year 2000. An assessment must be carried out to define additional measures exceeding best available technology (BAT) for point sources and best environmental practice (BEP) for diffuse sources for those priority pollutants still violating the quality objectives of the Rhine after implementing BAT and BEP only. To carry out the required assessments, an excessive amount of work and money is needed, including the application of sophisticated calculation models. For prioritizing reasons, the Institute for Inland Water Management and Waste Water Treatment (RIZA) initiated a project called EVER, which was conducted by DHV Water BV. EVER is the abbreviation of the Dutch equivalent for Effective Distribution of Emission Reductions (Effective Verdeling van Emissie Reducties). The aim of this project is to carry out a first and crude evaluation of the impact of abatement measures (BAT and BEP), as set by the IRC for the period 1985-1995. For those pollutants still showing a violation of the quality objectives for the Rhine in the year 1995, a range finding method is used, to predict the costs and impact of abatement measures exceeding BAT and BEP on the water quality of the Rhine. So, EVER is a management tool to prioritize the work to be done within the frame-work of the IRC, triggering the application of e.g. sophisticated calculation models for a selected number of priority pollutants. In EVER, the prognosis of the reduction of specific discharge rates for approximately forty priority pollutants is given for twelve sub-catchment areas for the year 1995. This prognosis is used to predict concentrations at eight international monitoring locations in the Rhine basin, using the discharges and concentrations of the year 1985 as a reference. The predicted concentrations for the year 1995 are compared with the (preliminary) water quality objectives as set by the IRC. The results indicate, that for six of the selected pollutants the number of available data is too small for sound predictions. Fifteen of the selected pollutants will satisfy the water quality objectives in 1995. Twenty (half) of the selected pollutants will still violate the quality objectives at several monitoring locations. These twenty pollutants are the basis for priorities to be set within the frame-work of the IRC for phase 3 (1995-2000) of the RAP. For these pollutants, additional abatement measures exceeding BAT and BEP are selected in EVER for the manageable groups of sources (anthropogenic non-point sources, industrial sources and municipal sources). Each measure is analyzed separately for costs and effectiveness. Finally the results of this project are integrated into a matrix system which will enable us to select the most effective mix of pollution abatement measures at the lowest costs. The result of the selected additional measures exceeding BAT and BEP shows that 17 pollutants will still violate the quality objectives.

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