Water quality in the proposed Prosperity Reservoir area, Center Creek Basin, Missouri

1979 ◽  
Keyword(s):  
Water Quality ◽  
Reservoir Area

scholarly journals 18S rRNA Analysis Reveals High Diversity of Phytoplankton with Emphasis on a Naked Dinoflagellate Gymnodinium sp. at the Han River (Korea)

Diversity ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 73
Author(s):  
Buhari Lawan Muhammad ◽  
Taehee Kim ◽  
Jang-Seu Ki
Keyword(s):  
Water Quality ◽  
Quality Management ◽  
18S Rrna ◽  
Water Quality Management ◽  
Operational Taxonomic Unit ◽  
Amplicon Sequencing ◽  
Freshwater Ecosystems ◽  
Reservoir Area ◽  
Han River ◽  
Phytoplankton Communities

Biomonitoring of phytoplankton communities in freshwater ecosystems is imperative for efficient water quality management. In the present study, we present the seasonal diversity of phytoplankton from the non-reservoir area of the Han River (Korea), assessed using the 18S rRNA amplicon sequencing. Our results uncovered a considerably high eukaryotic diversity, which was predominantly represented by phytoplankton in all the seasons (38–63%). Of these, the diatoms, Cyclostephanos tholiformis, Stephanodiscus hantzschii, and Stephanodiscus sp., were frequently detected in spring and winter. Interestingly, for the first time in the Han River, we detected a large number of operational taxonomic unit (OTU) reads belonging to the naked dinoflagellate Gymnodinium sp., which dominated in autumn (15.8%) and was observed only in that season. Molecular cloning and quantitative real-time polymerase chain reaction (PCR) confirmed the presence of Gymnodinium sp. in the samples collected in 2012 and 2019. Moreover, a comparison of the present data with our previous data from a reservoir area (Paldang Dam) revealed similar patterns of phytoplankton communities. This molecular approach revealed a prospective toxic species that was not detected through microscopy. Collectively, resolving phytoplankton communities at a level relevant for water quality management will provide a valuable reference for future studies on phytoplankton for environmental monitoring.

The Discharge Outlets Layout Optimization of Typical River Section in the Three Gorges Reservoir Area

2014 ◽  
Vol 955-959 ◽  
pp. 3287-3294
Author(s):  
Zheng Wang ◽  
Ying Liu
Keyword(s):  
Water Quality ◽  
Three Gorges Reservoir ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Mixing Zone ◽  
Unit Load ◽  
Reservoir Area ◽  
The Three Gorges Reservoir ◽  
The Three Gorges ◽  
The Impact

To improve water quality and alleviate pollution in Changshou-Fuling section of the Three Gorges Reservoir Area, an analysis methodology of regional key discharge outlet based on hydrodynamic-water quality model was developed. The EFDC model was used to study the impact of different discharge outlets on the transport of contamination in the study area by using the concept of pollutant mixing zone and pollutant mixing zone per unit load. Model calibration was conducted using observed data in 2008. Results indicated that EFDC could perfectly simulate hydrodynamics characteristics and contaminant transport process. Calculated results of pollutant mixing zone per unit load showed that the discharge outlet location in Fuling is more reasonable than that in Changshou. This study provides useful information for optimization of discharge outlets location and prediction of pollutant mixing zone in the study area, which is important for the government to make water pollution control measures.

scholarly journals Tempo-spatial variations of zooplankton communities in relation to environmental factors and the ecological implications: A case study in the hinterland of the Three Gorges Reservoir area, China

PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256313
Author(s):  
Bo Lan ◽  
Liping He ◽  
Yujing Huang ◽  
Xianhua Guo ◽  
Wenfeng Xu ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Level ◽  
Human Activities ◽  
Aquatic Ecosystem ◽  
Three Gorges Reservoir ◽  
Dominant Species ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Reservoir Area ◽  
The Three Gorges

To expand the knowledge on the tempo-spatial patterns of zooplankton and the key modulated factors in urban aquatic ecosystem, we investigated zooplankton and water quality from April 2018 to January 2019 in the hinterland of the Three Gorges Reservoir area, Wanzhou City of China. The results indicated that water quality indicated by the trophic state index (TSI) reached a state of mesotrophication to light eutrophication in the Yangtze River, and a state of moderate- to hyper- eutrophication in its tributaries. Based on the biomass of zooplanktons, Asplanchna priodonta was the most common specie in April; Encentrum sp., Filinia cornuta and Epiphanes senta were the most noticeable species in summer; Cyclopoida Copepodid, Sinocalanus dorrii and Philodina erythrophthalma became the dominant species in winter. Generally, rotifers prevailed in April and August, and copepods became the most popular in January. According to canonical correspondence analysis, nitrate, temperature (T), ammonia, water level and permanganate index (CODMn) significantly influenced the community structure of zooplankton (p < 0.05). The dominant species shifts of zooplankton were partly associated with nutrient level (nitrate and ammonia) under periodic water level fluctuations. Rotifers and protozoans were characterized as high T adapted and CODMn-tolerant species comparing with cladocerans and copepods. The ratio of microzooplankton to mesozooplankton (Pmicro/meso) has presented a strongly positive relationship with T (p < 0.001), as well as Pmicro/meso and CODMn (p < 0.001). It implied that zooplankton tended to miniaturize individual size via species shift under high T and/or CODMn conditions induced by global warming and human activities. The information hints us that climate change and human activities are likely to produce fundamental changes in urban aquatic ecosystem by reorganizing biomass structure of the food web in future.

scholarly journals Parasites prevalence which infecting freshwater fishes in Mulur Reservoir of Sukoharjo District, Indonesia

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
AHMAD HUSEIN IRIANSYAH ◽  
Agung Budihardjo ◽  
SUGIYARTO SUGIYARTO
Keyword(s):  
Water Quality ◽  
Oreochromis Niloticus ◽  
Freshwater Fishes ◽  
Wild Fish ◽  
Clarias Batrachus ◽  
Reservoir Area ◽  
Purposive Sampling ◽  
Susceptibility To Infection ◽  
Fish Habitats

Abstract. Iriansyah AH, Budiharjo A, Sugiyarto. 2020. Parasites prevalence infecting freshwater fishes in Mulur Reservoir of Sukoharjo District, Indonesia. Bonorowo Wetlands 10: 66-71. Mulur Reservoir is one of the natural fish habitats and consumption fish cultivation in Sukoharjo District, Indonesia. Excessive use of the reservoir area causes the decreasing of water quality which affects fish life sustainability, one of them can cause the fish susceptibility to infection by parasites. The purpose of this research was to identify the types of parasites which infect on consumption of fish in Mulur Reservoir and calculate the prevalence value. Samples were taken by purposive sampling for gourami (Osphronemus gouramy), tilapia (Oreochromis niloticus), betutu fish (Oxyeleotris marmorata), catfish (Clarias batrachus), and jambal (Pangasius djambal) 10 fishes for each type. The parts of fish infected by ectoparasites such as body mucus, fin mucus, head mucus, and gills were taken by scrapping and observed under a microscope with magnification between 100-400x. The results showed that 5 types of ectoparasites were Epistylis sp., Ichthyophthirius multifilis, Trichodina sp., Dactylogyrus sp., and Gyrodactylus sp. with an average prevalence of more than 50%. There are more ectoparasites in domesticated fish than in wild fish.

Relationship between Periphyton Distribution and Water Quality of Gufu River of Three Gorges Reservoir Area

2013 ◽  
Vol 31 (3) ◽  
pp. 219
Author(s):  
Zi-Ye WANG ◽  
Ji-Wen GE ◽  
Jian-Feng LI ◽  
La-Mei CHENG ◽  
Shu-Yuan WU ◽  
...  
Keyword(s):  
Water Quality ◽  
Three Gorges Reservoir ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Reservoir Area

scholarly journals The Big Data Processing Algorithm for Water Environment Monitoring of the Three Gorges Reservoir Area

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Yuanchang Zhong ◽  
Liang Zhang ◽  
Shaojing Xing ◽  
Fachuan Li ◽  
Beili Wan
Keyword(s):  
Water Quality ◽  
Three Gorges Reservoir ◽  
Clustering Algorithm ◽  
Water Environment ◽  
Three Gorges Reservoir Area ◽  
Three Gorges ◽  
Environment Monitoring ◽  
Reservoir Area ◽  
The Three Gorges Reservoir ◽  
The Three Gorges

Owing to the increase and the complexity of data caused by the uncertain environment, the water environment monitoring system in Three Gorges Reservoir Area faces much pressure in data handling. In order to identify the water quality quickly and effectively, this paper presents a new big data processing algorithm for water quality analysis. The algorithm has adopted a fast fuzzy C-means clustering algorithm to analyze water environment monitoring data. The fast clustering algorithm is based on fuzzy C-means clustering algorithm and hard C-means clustering algorithm. And the result of hard clustering is utilized to guide the initial value of fuzzy clustering. The new clustering algorithm can speed up the rate of convergence. With the analysis of fast clustering, we can identify the quality of water samples. Both the theoretical and simulated results show that the algorithm can quickly and efficiently analyze the water quality in the Three Gorges Reservoir Area, which significantly improves the efficiency of big data processing. What is more, our proposed processing algorithm provides a reliable scientific basis for water pollution control in the Three Gorges Reservoir Area.

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