scholarly journals Assessing the Surface Water Quality of Ana Sagar Lake and its Bioremediation in Modified Constructed Wetland

2021 ◽  
Vol 796 (1) ◽  
pp. 012026
Author(s):  
Zainab Syed ◽  
Kumar Sonu ◽  
Aman Dongre ◽  
Monika Sogani
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Constructed Wetland ◽  
Surface Water Quality

scholarly journals Dynamics of changes in surface water quality indicators of the Western Bug River basin within Ukraine using GIS technologies

2019 ◽  
Vol 42 (1) ◽  
pp. 67-75 ◽  
Author(s):  
Igor Gopchak ◽  
Tetiana Basiuk ◽  
Ihor Bialyk ◽  
Oleg Pinchuk ◽  
Ievgenii Gerasimov
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Environmental Assessment ◽  
Land Surface ◽  
Surface Water Quality ◽  
Ecological Condition ◽  
Toxic Substances ◽  
Ecological Index ◽  
Gis Technologies

Abstract The environmental assessment of the surface water quality of the Western Bug River has been made using the system of classification quality of land surface water of Ukraine in accordance with the approved methodology, which allows comparing water quality of separate areas of water objects of different regions. The calculation of the environmental assessment of water quality has been carried according to three blocks: block of salt composition, block of trophic and saprobic (ecological and sanitary) indicators and block of indicators of content of specific toxic substances. The results are presented in the form of a combined environmental assessment, based on the final conclusions of the three blocks and consists in calculating the integral ecological index. Comprehensive studies of changes in the water quality of the Western Bug River have been conducted within the territory of Ukraine for a long-term period. The water quality of the river on the final values of the integral indicators of the ecological condition corresponded mainly to 4nd category of the 3rd class – the water is “satisfactory” by condition and “little polluted” by degree of purity (except for points of observation that located within the Volyn region, where the water quality corresponded to 3rd category and the 2nd class. It is “good” by condition and “fairly clean” by the degree of purity). Visualization and part of the analysis are performed using GIS technologies in the software of the ArcGIS 10.3.

Impacts of pollutant loading, climate variability and site management on the surface water quality of a lowland raised bog, Thorne Moors, E. England, UK

2004 ◽  
Vol 19 (3) ◽  
pp. 413-422 ◽  
Author(s):  
Simon Bottrell ◽  
Jonathan Coulson ◽  
Michael Spence ◽  
Peter Roworth ◽  
Martin Novak ◽  
...  
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Climate Variability ◽  
Surface Water Quality ◽  
Site Management ◽  
Raised Bog ◽  
Pollutant Loading

scholarly journals Continuous and Periodic Monitoring System of Surface Water Quality of an Impounding Reservoir: Sulejow Reservoir, Poland

2019 ◽  
Vol 16 (3) ◽  
pp. 301
Author(s):  
Aleksandra Ziemińska-Stolarska ◽  
Mirosław Imbierowicz ◽  
Marcin Jaskulski ◽  
Aleksander Szmidt ◽  
Ireneusz Zbiciński
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Monitoring System ◽  
Online Monitoring ◽  
Surface Water Quality ◽  
Dam Reservoir ◽  
Reservoir Water ◽  
Periodic Monitoring

Keywords: online monitoring; dam reservoir; water quality; multi-parameter probe; eutrophication

Study on the Water Quality and Quantity Scheduling Scheme in Xinxue River Constructed Wetland of China under the Constraint Condition of Class III of Surface Water Quality

2011 ◽  
Vol 374-377 ◽  
pp. 923-927
Author(s):  
Chao Liu ◽  
Xiao Jie Cao ◽  
Chao Wang ◽  
Jing Jing Sun ◽  
Yu Ting Gu
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Constructed Wetland ◽  
Surface Water Quality ◽  
Ammonia Nitrogen ◽  
Water Quantity ◽  
Constraint Condition ◽  
Scheduling Scheme ◽  
Influent Water ◽  
Water Quality And Quantity

Using Xinxue River Constructed Wetland as the study object, the wetland prediction models based on BP neural network were established through the seasonal division of the wetland, and the maximum influent water load was determined on the constraint condition that effluent water quality achieved class Ⅲ of surface water quality. Then nonlinear functions of water quality and quantity scheduling were constructed by Origin software. The optimal influent load was determined adopting prediction results of the models as constraint conditions of the functions. Thus the water quality and quantity scheduling scheme of the wetland was established. The results show that optimal influent load for Feb. ~ May: the influent water quantity is no more than 8560m3/d, CODCr is 25.47mg/l~26.37mg/l, ammonia nitrogen 0.11mg/l~1.0mg/l, TN 10.28mg/l~10.51mg/l, TP 0.16mg/l; for Jun. ~ Sept.: the water quantity is no more than 31750m3/d, CODCr is 26mg/l~32.36mg/l, or 37.15mg/l~45.37mg/l, ammonia nitrogen 0.48 mg/l~1.78mg/l, TN 5.15mg/l~6.18mg/l, TP 0.07mg/l~0.09mg/l; for Oct. ~ Dec.: the water quantity is no more than 11070m3/d, CODCr is 24.55mg/l~26.91mg/l, ammonia nitrogen no more than 0.75, TN no more than 8.61 mg/l, TP 0.10mg/l~0.12mg/l, or 0.16mg/l~0.17mg/l.

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