The Impact of Lake Water Quality on the Performance of Mature Artificial Recharge Ponds

Artificial groundwater recharge is commonly used for drinking water supply although the resulting water quality is highly dependent on the raw water quality, and in many cases, pre-treatment is required. Such pre-treatment improves the drinking water quality, although how and to what extent pre-treatment affects the subsequent pond infiltration process is still unknown. Here we evaluate the impact of two different pre-treatment methods of water from a eutrophic, temperate lake. An artificial recharge pond was divided into two parts, where one received raw water from a lake only filtered through a 500 µm pore size drum filter, while the other part received pre-treated lake water using chemical flocculation with polyaluminium chloride (PACl), combined with sand filtration (contact filtration). Changes in water quality were assessed at different stages in the two treatment processes. We show that contact filtration reduced phosphorus with 96 %. Moreover, the total organic carbon (TOC) reduction was improved from 55 % to 70 %, corresponding to an average reduction from 3.5 mg/L to 2.4 mg/L In addition, the pre- treatment in the artificial recharge pond reduced the cyanobacteria blooms and reduced the microcystin level. However, there were no sigificant differences in microcystin levels in the groundwater, i.e. the artifical recharge infiltration pond was effective for microcystin removal even without contact filtration. Hence, in a broader drinking water management perspective, the presented method is promising to reduce the levels of cyanobacterial toxins, as well as nutrients and TOC, which are all predicted to increase in a future climate change perspective.

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The Impact of Lake Water Quality on the Performance of Mature Artificial Recharge Ponds

10.20944/preprints201905.0204.v2 ◽

2019 ◽

Author(s):

Jing Li ◽

Kristofer Hägg ◽

Kenneth M. Persson

Keyword(s):

Water Quality ◽

Drinking Water ◽

Organic Matter ◽

Lake Water ◽

Artificial Recharge ◽

Pond Water ◽

Control Treatment ◽

Raw Water ◽

Pre Treatment ◽

Cyanobacterial Biomass

Artificial groundwater recharge is commonly used for drinking water supply. The resulting water quality is highly dependent on the raw water quality. In many cases, pre-treatment is required. Pre-treatment improves the drinking water quality, although how and to what extent it affects the subsequent pond water quality and infiltration process, is still unknown. We evaluated two treatment systems by applying different pre-treatment methods for raw water from a eutrophic and temperate lake. An artificial recharge pond was divided into two parts, where one received raw water, only filtered through a micro-screen with 500 µm pores (control treatment), while the other part received pre-treated lake water using chemical flocculation with polyaluminium chloride (PACl) combined with sand filtration, i.e. continuous contact filtration (contact filter treatment). Water quality such as cyanobacterial biomass, microcystin-LR as well as organic matter and nutrients were measured in both treatment processes. We found cyanobacterial biomass and microcystin-LR level after the contact filter treatment was significantly different from the control treatment and also significantly different in the pond water. In addition, with contact filter treatment, total phosphorus (TP) and organic matter removal were significantly improved in the end water, TP was reduced by 96 % (< 20 µg/L) and the total organic carbon (TOC) was reduced by 66 % instead of 55 % (TOC content around 2.1 mg/L instead of 3.0 mg/L). This full-scale onsite experiment demonstrated effective pre-treatment would benefit a more stable water quality system, with less variance and lower cyanotoxin risk. In a broader drinking water management perspective, the presented method is promising to reduce cyanotoxin risk, as well as TP and TOC, which are all predicted to increase with global warming and extreme weather.

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Correction: Li, J.; et al. The Impact of Lake Water Quality on the Performance of Mature Artificial Recharge Ponds. Water 2019, 11, 1991

Water ◽

10.3390/w12061713 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1713

Author(s):

Jing Li ◽

Kristofer Hägg ◽

Kenneth M. Persson

Keyword(s):

Water Quality ◽

Lake Water ◽

Artificial Recharge ◽

Lake Water Quality ◽

The Impact

The authors wish to make the following corrections to this paper [...]

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The Impact of Agricultural Land Use Change on Lake Water Quality: Evidence from Iowa

Studies in Agricultural Economics ◽

10.7896/j.1805 ◽

2018 ◽

Vol 120 (2) ◽

pp. 105-111 ◽

Cited By ~ 2

Author(s):

Kevin Meyer

Keyword(s):

Water Quality ◽

Land Use ◽

Land Use Change ◽

Lake Water ◽

Agricultural Land ◽

Agricultural Land Use ◽

Lake Water Quality ◽

The Impact ◽

Quality Evidence

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Delaqua – A Prototype Expert System for Operational Control and Management of Lake Water Quality

Water Science & Technology ◽

10.2166/wst.1991.0167 ◽

1991 ◽

Vol 24 (6) ◽

pp. 283-290 ◽

Cited By ~ 12

Author(s):

Frieder Recknagel ◽

Erhard Beuschold ◽

Uwe Petersohn

Keyword(s):

Water Quality ◽

Expert System ◽

Lake Water ◽

Quality Data ◽

Raw Water ◽

Operational Control ◽

Lake Water Quality ◽

Water Quality Data ◽

Lakes And Reservoirs ◽

Raw Water Quality

The expert system DELAQUA (Deep Expert system LAke water QUAlity) combines AI and simulation methods to support decision making in water quality control of lakes and reservoirs. It contains a knowledge base (PROLOG 2), a data base (dBASE III+) and a simulation system (FORTRAN 77) by which the following decision aids can be made available:derivation of recommendations for operational control of undesired impacts on raw water quality by algal blooms or pathogen germsclassification of raw water quality by means of legal standardsdrawing of analogy conclusions by the use of measured and simulated water quality data of reference waterspredictions of raw water quality under changing control strategies and environmental conditions of lakes and reservoirs. The expert system was implemented on an IBM-PC with MS.DOS operating system.

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The Impact of Lake Water Quality on the Performance of Mature Artificial Recharge Ponds

Water ◽

10.3390/w11101991 ◽

2019 ◽

Vol 11 (10) ◽

pp. 1991

Author(s):

Jing Li ◽

Kristofer Hägg ◽

Kenneth M. Persson

Keyword(s):

Mass Spectrometry ◽

Water Quality ◽

Drinking Water ◽

Organic Matter ◽

Liquid Chromatography ◽

Artificial Recharge ◽

Pond Water ◽

Control Treatment ◽

Raw Water ◽

Cyanobacterial Biomass

Artificial groundwater recharge is commonly used for drinking water supply. The resulting water quality is highly dependent on the raw water quality. In many cases, pretreatment is required. Pretreatment improves the drinking water quality, although how and to what extent it affects the subsequent pond water quality and infiltration process, is still unknown. We evaluated two treatment systems by applying different pretreatment methods for raw water from a eutrophic and temperate lake. An artificial recharge pond was divided into two parts, where one received raw water, only filtered through a microscreen with 500 µm pores (control treatment), while the other part received pretreated lake water using chemical flocculation with polyaluminum chloride (PACl) combined with sand filtration, i.e., continuous contact filtration (contact filter treatment). Water quality factors such as cyanobacterial biomass, microcystin, as well as organic matter and nutrients were measured in both treatment processes. Microcystin condition was screened by an immunoassay and a few selected samples were examined by ultra-high-performance liquid chromatography tandem mass spectrometry (UPLC–MS/MS) which is a chemistry technique that combines the physical separation capabilities of liquid chromatography with the mass analysis capabilities of mass spectrometry. Results showed that cyanobacterial biomass and microcystin after the contact filter treatment were significantly different from the control treatment and also significantly different in the pond water. In addition, with contact filter treatment, total phosphorus (TP) and organic matter removal were significantly improved in the end water, TP was reduced by 96% (<20 µg/L) and the total organic carbon (TOC) was reduced by 66% instead of 55% (TOC content around 2.1 mg/L instead of 3.0 mg/L). This full-scale onsite experiment demonstrated effective pretreatment would benefit a more stable water quality system, with less variance and lower microcystin risk. From a broader drinking water management perspective, the presented method is promising for reducing cyanotoxin risk, as well as TP and TOC, which are all predicted to increase with global warming and extreme weather.

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Impact of Right Bank Outfall Drain-I (RBOD-I) / Main Nara Valley Drain (MNVD) on Manchar Lake, Sindh, Pakistan

Engineering, Technology & Applied Science Research ◽

10.48084/etasr.3219 ◽

2019 ◽

Vol 9 (6) ◽

pp. 5074-5079

Author(s):

A. A. Mahessar ◽

K. Ansari ◽

G. M. Arain ◽

S. M. Kori ◽

S. Qureshi ◽

...

Keyword(s):

Water Quality ◽

Water Supply ◽

Lake Water ◽

Polluted Water ◽

Mountain Range ◽

Indus River ◽

Lake Water Quality ◽

The Right ◽

The Impact ◽

Manchar Lake

The lakes of Sindh are in poor environmental condition due to the massive disposal of effluents. This paper presents the impact of water quality in Manchar Lake due to climate change and anthropogenic intervention. The lake is one of the biggest natural lakes in Sindh, Pakistan. The lake has three major sources of water supply: Indus River, hill torrents from the Khirthar Mountain range and the Right Bank Outfall Drain (RBOD-I)/Main Nara Valley Drain (MNVD). The water supply of the lake from the first two sources has been reduced due to morphological and climate changes. Hence, there is only one, and polluted, water supply to the lake, the RBOD-I/MNVD. At the same time, the use of poisonous materials for fishing has further contaminated the lake’s water. The RBOD system is connected with RBOD-III, RBOD-I/MNVD, Indus Link and RBOD-II on the right side of Indus River for safe disposal of wastewater into the Arabian Sea, which is still not functioning. Hence, more than 4500 cusecs of wastewater from the catchment area of RBOD have directly been discharged into the lake causing severe impact on flora, fauna and the livelihood of locals. In order to analyze the lake water quality impact, the water quality index (WQI) model was used. The results indicate that the water quality of four samples was very poor, while the fifth sample was unsuitable for drinking. The results of statistical analysis of parameters such as TDS, EC, SO4, Cl, Na, and hardness are higher to their permissible limits. Consequently, lake water possesses a high potential risk to local consumers and aquatic ecology.

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IntegTa: a procedure for integrative management of dammed raw water reservoirs for drinking water production and their lower reaches

Water Science & Technology Water Supply ◽

10.2166/ws.2010.186 ◽

2010 ◽

Vol 10 (5) ◽

pp. 783-792 ◽

Cited By ~ 1

Author(s):

I. Slavik ◽

W. Uhl ◽

J. Völker ◽

H. Lohr ◽

M. Funke ◽

...

Keyword(s):

Water Quality ◽

Drinking Water ◽

Flood Control ◽

Reservoir Management ◽

Water Production ◽

Raw Water ◽

Water Reservoirs ◽

Drinking Water Production ◽

The Impact

Dammed water reservoirs for drinking water production with their catchment areas and rivers downstream represent dynamic systems that change constantly and are subject to many influences. An optimized management considering and weighing up the various demands on raw water reservoirs (long-term storage for drinking water supply, flood control, ecological state of the rivers downstream, energy production, nature conservation and recreational uses) against each other is therefore very difficult. Thus, an optimal reservoir management has to take into account scenarios of possibly occurring external influences and to permit predictions of prospective raw water qualities, respectively. Furthermore, the impact of short and long term changes in raw water quality on subordinate processes should be considered. This approach was followed in the work presented here, as there currently is no tool available to predict and evaluate the impacts of raw water reservoir management strategies integratively. The strategy supported by the newly developed decision support procedure takes into account all aspects from water quality, flood control and drinking water treatment to environmental quality downstream the reservoir. Furthermore, possible extreme events or changes of boundary conditions (e.g. climate change) can be considered.

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