Modelling the impacts of altered management practices, land use and climate changes on the water quality of the Millbrook catchment-reservoir system in South Australia

Nguyen, Hong Hanh; Recknagel, Friedrich; Meyer, Wayne S.; Frizenschaf, Jacqueline; Shrestha, Manoj

doi:10.1016/j.jenvman.2017.07.014

Cited by 47 publications

(31 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Whilst strategic control is traditionally being supported by scenario analyses using process-based lake models (e.g. Recknagel et al 1995;Chen et al 2015;Nguyen et al 2017), remote sensing (e.g. Lunetta et al 2015;Matthews and Odermatt 2015) and inferential models (e.g.…”

Section: Smith 2003)mentioning

confidence: 99%

Early warning of limit-exceeding concentrations of cyanobacteria and cyanotoxins in drinking water reservoirs by inferential modelling

et al. 2017

Self Cite

View full text Add to dashboard Cite

An early warning scheme is proposed that runs ensembles of inferential models for predicting the cyanobacterial population dynamics and cyanotoxin concentrations in drinking water reservoirs on a diel basis driven by in situ sonde water quality data. When the 10- to 30-day-ahead predicted concentrations of cyanobacteria cells or cyanotoxins exceed pre-defined limit values, an early warning automatically activates an action plan considering in-lake control, e.g. intermittent mixing and ad hoc water treatment in water works, respectively. Case studies of the sub-tropical Lake Wivenhoe (Australia) and the Mediterranean Vaal Reservoir (South Africa) demonstrate that ensembles of inferential models developed by the hybrid evolutionary algorithm HEA are capable of up to 30days forecasts of cyanobacteria and cyanotoxins using data collected in situ. The resulting models for Dolicospermum circinale displayed validity for up to 10days ahead, whilst concentrations of Cylindrospermopsis raciborskii and microcystins were successfully predicted up to 30days ahead. Implementing the proposed scheme for drinking water reservoirs enhances current water quality monitoring practices by solely utilising in situ monitoring data, in addition to cyanobacteria and cyanotoxin measurements. Access to routinely measured cyanotoxin data allows for development of models that predict explicitly cyanotoxin concentrations that avoid to inadvertently model and predict non-toxic cyanobacterial strains.

show abstract

Section: Smith 2003)mentioning

confidence: 99%

Early warning of limit-exceeding concentrations of cyanobacteria and cyanotoxins in drinking water reservoirs by inferential modelling

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…The magnitude of the risks depends on the duration of the event, nature of the pollutants induced into water, water quality parameters affected, extent (spreading level) of the impacts on the aquatic organisms, people, wildlife and the life span of the pollutant in water. One study showed that increased chlorophyll-a, Turbidity, Color, TSS and TDS support the risk to water quality but extreme heat, heavy rainfall and flood, increased global temperature, drought are found more effective climate events affecting the water quality of a given water body [5,7,8,9,11,12]. Table 4 lists the risks that are classified on the basis of extent loss/in general level of predominance.…”

Section: Risks Associated With Climate Change Impacts On Water Qualitymentioning

confidence: 99%

“…The Table 4 highlights the consequences of the impaired water quality to the ecosystem under the influence of climate change extreme events. Extreme heat and increased air temperature cause death to aquatic organisms due to reduction in DO leading to the disappearance of some micro species in water bodies [6][7][8][9]. Heavy rainfall and flood, hurricane, wildfires, drought cyclones and super storms accelerate the sedimentation processes in rivers making it a storage for dissolved organic carbon (DOC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), natural organic matter (NOM) and other pollutants affecting the water through dissolution processes, which pose difficulties in drinking water treatment resulting in waterborne diseases.…”

Section: Risks Associated With Climate Change Impacts On Water Qualitymentioning

confidence: 99%

“…Heavy rainfall and flood, hurricane, wildfires, drought cyclones and super storms accelerate the sedimentation processes in rivers making it a storage for dissolved organic carbon (DOC), biochemical oxygen demand (BOD), chemical oxygen demand (COD), natural organic matter (NOM) and other pollutants affecting the water through dissolution processes, which pose difficulties in drinking water treatment resulting in waterborne diseases. However, such extreme climate change events can cause more nutrient loading in water which when consumed without proper treatment can result into diseases like cancer [5,7,8,9,11,12]. E. coli, Coliform and pathogenic bacteria may also cause the human health in terms of epidemic and endemic diseases [15,10].…”

Section: Risks Associated With Climate Change Impacts On Water Qualitymentioning

confidence: 99%

“…Some authors reported that Global temperature has increased the water surface temperature by 0.2-2°C annually, 0.8-1.1°C by mid-century and 1.6-3.1°C by the century due to climate changes [5,6]. The water quality parameters like water temperature, dissolved organic carbon (DOC), nutrients, Organic pollutant, pathogens, cyanobacteria and cyanotoxins, stream flow and sediments are readily changing with change in climates [4,5,6,7,8]. The nitrate nitrogen (NO -3 -N), total phosphorous (TP), fecal coliform and fecal coliform bacteria also change with the changes in catchment area [9,10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Climate Change Impacts on Water Quality of Water Bodies-A Review

Salila¹,

Sharma²,

Singh³

2020

IJECC

View full text Add to dashboard Cite

The impacts of climate change on water quality of water bodies are associated with the climatic extreme events (heavy rainfall and flood, heat, drought, wildfires, cyclones, hurricane, super storms) as the major drivers that require knowledge of understanding. Most research studies present the role of climate change in threatening water quality, risks on drinking water and contributions of catchment in water pollution, but less attention has directed to specific sensitive water quality parameters, appropriate methodologies, risks on ecosystem and managerial practice to reduce the impacts. This review highlight the of effect climate change on surface water bodies based on recent literatures on the impacts of climate change on water quality and promote practical opportunity for better management of these impacts. We conclude that consideration of climate change preparedness plan in catchments is the best option to adopt for minimization of climate change impacts on water quality of water bodies.

show abstract