scholarly journals Water Quality Responses during the Continuous Mixing Process and Informed Management of a Stratified Drinking Water Reservoir

2019 ◽  
Vol 11 (24) ◽  
pp. 7106
Author(s):  
Zizhen Zhou ◽  
Tinglin Huang ◽  
Weijin Gong ◽  
Yang Li ◽  
Yue Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Quality Improvement ◽  
Microbial Community ◽  
Organic Carbon ◽  
Water Reservoir ◽  
Mixing Process ◽  
Water Quality Improvement ◽  
Continuous Mixing ◽  
Drinking Water Reservoir

Aeration and mixing have been proven as effective in situ water quality improvement methods, particularly for deep drinking water reservoirs. While there is some research on the mechanism of water quality improvement during artificial mixing, the changes to water quality and the microbial community during the subsequent continuous mixing process is little understood. In this study, we investigate the mechanism of water quality improvement during the continuous mixing process in a drinking water reservoir. During this period, we found a reduction in total nitrogen (TN), total phosphorus (TP), ammonium-nitrogen (NH4-N), iron (Fe), manganese (Mn), and total organic carbon (TOC) of 12.5%–30.8%. We also measured reductions of 8.6% and 6.2% in TN and organic carbon (OC), respectively, in surface sediment. Microbial metabolic activity, abundance, and carbon source utilization were also improved. Redundancy analysis indicated that temperature and dissolved oxygen (DO) were key factors affecting changes in the microbial community. With intervention, the water temperature during continuous mixing was 15 °C, and the mixing temperature in the reservoir increased by 5 °C compared with natural mixing. Our research shows that integrating and optimizing the artificial and continuous mixing processes influences energy savings. This research provides a theoretical basis for further advancing treatment optimizations for a drinking water supply.

Turning Routine Data into Systems Insight: Multivariate Analysis of Water Quality Dynamics in a Major Drinking Water Reservoir

2020 ◽  
Vol 25 (4) ◽  
pp. 565-579
Author(s):  
Azadeh Golshan ◽  
Craig Evans ◽  
Phillip Geary ◽  
Abigail Morrow ◽  
Zoe Rogers ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Multivariate Analysis ◽  
Water Reservoir ◽  
Routine Data ◽  
Drinking Water Reservoir

Sediment record of mining legacy and water quality from a drinking-water reservoir, Aztec, New Mexico, USA

2020 ◽  
Vol 79 (17) ◽  
Author(s):  
Johanna M. Blake ◽  
Jeb E. Brown ◽  
Christina L. Ferguson ◽  
Rebecca J. Bixby ◽  
Naomi T. Delay
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
New Mexico ◽  
Water Reservoir ◽  
Sediment Record ◽  
Drinking Water Reservoir

scholarly journals Field Research on Mixing Aeration in a Drinking Water Reservoir: Performance and Microbial Community Structure

2019 ◽  
Vol 16 (21) ◽  
pp. 4221 ◽  
Author(s):  
Zizhen Zhou ◽  
Tinlin Huang ◽  
Weijin Gong ◽  
Yang Li ◽  
Yue Liu ◽  
...  
Keyword(s):  
Drinking Water ◽  
Microbial Community ◽  
Water Temperature ◽  
Water Reservoir ◽  
Field Research ◽  
Pollutant Removal ◽  
Chl A ◽  
Drinking Water Reservoir ◽  
Aeration System ◽  
Significant Difference

Field research on the performance of pollutant removal and the structure of the microbial community was carried out on a drinking water reservoir. After one month of operation of a water-lifting aeration system, the water temperature difference between the bottom and the surface decreased from 9.9 to 3.1 °C, and the concentration of the dissolved oxygen (DO) in the bottom layer increased from 0 to 4.2 mg/L. The existing stratification in the reservoir was successfully eliminated. Total nitrogen (TN), total phosphorus (TP), and total organic carbon (TOC) concentrations were reduced by 47.8%, 66.7%, and 22.9%, respectively. High-throughput sequencing showed that Proteobacteria, Bacteroides, and Actinomycetes accounted for 67.52% to 78.74% of the total bacterial population. Differences in the bacterial changes were observed between the enhanced area and the control area. With the operation of the water-lifting aeration system, the populations of bacteria of the main genera varied temporally and spatially. Principal component analysis pointed out a clear evolution in the vertical distribution of the microbial structure controlled by the operation of the aeration system. Permutational analysis of variance showed a significant difference in the microbial community (p < 0.01). Redundancy analysis showed that physical (water temperature, DO) and chemical environmental factors (Chl-a, TOC, TN) were the key factors affecting the changes in the microbial communities in the reservoir water. In addition, a hierarchical partitioning analysis indicated that T, Chl-a, ORP, TOC, pH, and DO accounted for 24.1%, 8.7%, 6.7%, 6.2%, 5.8%, and 5.1% of such changes, respectively. These results are consistent with the ABT (aggregated boosted tree) analysis for the variations in the functional bacterial community, and provide a theoretical basis for the development and application of biotechnology.

scholarly journals Benthic dissolved organic carbon fluxes in a drinking water reservoir

2015 ◽  
Vol 61 (2) ◽  
pp. 445-459 ◽  
Author(s):  
Tallent Dadi ◽  
Kurt Friese ◽  
Katrin Wendt-Potthoff ◽  
Matthias Koschorreck
Keyword(s):  
Drinking Water ◽  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
Water Reservoir ◽  
Carbon Fluxes ◽  
Drinking Water Reservoir ◽  
Organic Carbon Fluxes

scholarly journals Prioritizing riparian corridors for ecosystem restoration in urbanizing watersheds

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8174 ◽  
Author(s):  
Samuel F. Atkinson ◽  
Matthew C. Lake
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Ecosystem Services ◽  
Watershed Management ◽  
Water Reservoir ◽  
Riparian Restoration ◽  
Surface Slope ◽  
Management Options ◽  
Riparian Corridors ◽  
Drinking Water Reservoir

Background Riparian corridors can affect nutrient, organic matter, and sediment transport, all of which shape water quality in streams and connected downstream waters. When functioning riparian corridors remain intact, they provide highly valued water quality ecosystem services. However, in rapidly urbanizing watersheds, riparian corridors are susceptible to development modifications that adversely affect those ecosystem services. Protecting high quality riparian corridors or restoring low quality corridors are widely advocated as watershed level water quality management options for protecting those ecosystem services. The two approaches, protection or restoration, should be viewed as complementary by watershed managers and provide a foundation for targeting highly functioning riparian corridors for protection or for identifying poorly functioning corridors for restoration. Ascertaining which strategy to use is often motivated by a specific ecosystem service, for example water quality, upon which watershed management is focused. We have previously reported on a spatially explicit model that focused on identifying riparian corridors that have specific characteristics that make them well suited for purposes of preservation and protection focused on water quality. Here we hypothesize that focusing on restoration, rather than protection, can be the basis for developing a watershed level strategy for improving water quality in urbanizing watersheds. Methods The model described here represents a geographic information system (GIS) based approach that utilizes riparian characteristics extracted from 40-meter wide corridors centered on streams and rivers. The model focuses on drinking water reservoir watersheds that can be analyzed at the sub-watershed level. Sub-watershed riparian data (vegetation, soil erodibility and surface slope) are scaled and weighted based on watershed management theories for water quality, and riparian restoration scores are assigned. Those scores are used to rank order riparian zones –the lower the score the higher the priority for riparian restoration. Results The model was applied to 90 sub-watersheds in the watershed of an important drinking water reservoir in north central Texas, USA. Results from this study area suggest that corridor scores were found to be most correlated to the amount of: forested vegetation, residential land use, soils in the highest erodibility class, and highest surface slope (r2 = 0.92, p < 0.0001). Scores allow watershed managers to rapidly focus on riparian corridors most in need of restoration. A beneficial feature of the model is that it also allows investigation of multiple scenarios of restoration strategies (e.g.,  revegetation, soil stabilization, flood plain leveling), giving watershed managers a tool to compare and contrast watershed level management plans.

scholarly journals Occurrence of cyanobacteria, actinomycetes, and geosmin in drinking water reservoir in Korea: a case study from an algal bloom in 2012

2020 ◽  
Vol 20 (5) ◽  
pp. 1862-1870
Author(s):  
Jung Eun Lee ◽  
Seok-Jae Youn ◽  
Myeongseop Byeon ◽  
Soon-Ju Yu
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Cell Density ◽  
Algal Bloom ◽  
Water Reservoir ◽  
Primary Source ◽  
High Concentration ◽  
Drinking Water Reservoir ◽  
Peak Value

Abstract In 2012, a large concentration of geosmin was found in the Paldang reservoir, which is the primary source of drinking water in Seoul, Korea. In June and September 2012, we measured the concentrations of cyanobacteria and actinomycetes, and geosmin, to identify the source of geosmin in the Paldang reservoir. A total of 68 water samples were collected from two sampling sites (Sambong, Paldang), and used to analyze the correlation between cyanobacteria, actinomycetes, and geosmin. The cell density attained a maximum of 24,722 cells/mL on August 11, 2012 and geosmin occurred at a high concentration of 3,934 ng/L on August 13 in Sambong. After July 31, 2012 a rapid increase in growth and cell density occurred with a peak value of 11,568 cells/mL on August 6, 2012. At the same time, the geosmin concentration increased to 3,157 ng/L in Paldang. The number of cyanobacteria positively correlated with geosmin concentration (R2 = 0.84, P &lt; 0.0001), while actinomycetes were not significantly correlated with geosmin (R2 = 0.01, P = 0.709). In addition, the number of actinomycetes was associated with increased turbidity (R = 0.507). Among the various water quality constituents, temperature affected cyanobacteria in the Paldang reservoir (R = 0.803). These results suggest that cyanobacteria are the main source of geosmin in the Paldang reservoir, which might be providing useful information for managing the unpleasant taste of its drinking water.

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