scholarly journals The Spatial Variations of Water Quality and Effects of Water Landscape in Baiyangdian Lake, North China

2021 ◽  
Author(s):  
Liqing Li ◽  
Xinghong Chen ◽  
Meiyi Zhang ◽  
Weijun Zhang ◽  
Dongsheng Wang ◽  
...  
Keyword(s):  
Water Quality ◽  
North China ◽  
Quality Parameters ◽  
Spatial Variations ◽  
Water Quality Parameters ◽  
Fish Ponds ◽  
Baiyangdian Lake ◽  
Littoral Zones ◽  
Landscape Distribution ◽  
Water Landscape

Abstract Baiyangdian Lake (BYD), a large shallow lake in North China, has complex water landscape patterns that are underlies spatial variations in water quality. In this study, we collected 61 water samples from three water landscapes (reed littoral zones, fish ponds and open water) and analyzed them for water quality parameters, such as dissolved organic carbon (DOC), total nitrogen (TN), and total phosphorus (TP). Water landscape distribution (determined using remote sensing imagery) was then used to assess correlations between water quality parameters and water landscape proportion in differently scaled buffer zones. There was substantial variation across all subareas, with TN and TP concentrations ranging from 0.90–4.10 mg/L and 0.06–0.18 mg/L, respectively. Spatial variations in water quality were mainly caused by water landscape distribution and external nutrient inputs. There were negative correlations between DOC, TN, and TP concentrations and the area proportion of reed littoral zones in the 300 and 500 m buffers. In contrast, DOC, TN and TP concentrations were significantly positively correlated with the area proportion of fish ponds in the 100 m buffer. Furthermore, compared with reed littoral zones, a lower nitrogen to phosphorus ratio and a higher proportion of dissolved organic nitrogen and tyrosine-like proteins were found in fish ponds. These effects were mainly attributed to development of internal sediment loadings due to nutrient exchange between sediment and overlying water. Therefore, dredging-based sediment removal from fish ponds should be considered to suppress internal phosphorus loading and accelerate recovery of the BYD ecosystem.

scholarly journals IOT Based Smart Monitoring System for Fish Farming

2019 ◽  
Vol 8 (6S) ◽  
pp. 420-424 ◽  
Keyword(s):  
Water Quality ◽  
Current Method ◽  
Fish Farming ◽  
High Water ◽  
Quality Parameters ◽  
Water Levels ◽  
Water Quality Parameters ◽  
Fish Pond ◽  
Fish Ponds ◽  
Fish Tank

The purpose of the current method is to create a safe and secure that helps the fish pond owners and aquatic planters in producing high quality fish by maintaining normal water levels in the fish tank. The flow of the low or high water in the fish pond will solve the long-term problem of killing fish in a fish tank. Each water quality can affect the health of animals alone. The flow of water on fish ponds discusses how every day should be monitored. This should ensure quality by handling the PH, membrane, temperature, ammonia etc. It is a symbol of good quality water quality standards and poor water quality pools and how it should be upgraded. It is recommended that a prerequisite to increase production by ensuring sustainable fresh quality, and consequently, priority should be given priority. Therefore, water quality parameters maintain balanced positions, culture is the basis for the health and development of living organisms. It is recommended to monitor and evaluate water quality parameters on a regular basis

scholarly journals Seasonal Effects on Spatial Variations of Surface Water Quality in a Tropical River Receiving Anthropogenic Influences

2021 ◽  
Vol 50 (3) ◽  
pp. 571-593
Author(s):  
TENGKU NILAM BAIZURA TENGKU IBRAHIM ◽  
FARIDAH OTHMAN ◽  
NOOR ZALINA MAHMOOD ◽  
TAHER ABUNAMA
Keyword(s):  
Water Quality ◽  
Agricultural Runoff ◽  
Quality Parameters ◽  
Spatial Variations ◽  
Pollution Sources ◽  
Water Quality Parameters ◽  
Mode Analysis ◽  
Pollution Level ◽  
Tropical River ◽  
High Pollution

This study investigates the seasonal and spatial water quality patterns along a tropical river that continuously receives various pollution sources. Multivariate analysis was used to study the spatial and temporal variations of the water quality parameters and to determine the origin of the pollution sources. Three regions (low, moderate, and high pollution levels) were determined based on cluster analysis. The stepwise DA mode proposed six parameters (pH, EC, COD, NO3, TC, and Fe) with 75% correct assignations as the most significant water quality parameters to present the spatial variations. In the temporal discrimination, forward stepwise mode analysis showed eight parameters (EC, TUR, BOD,COD, AN, NO3, Cu, and Cr) with 92% correct assignations, while five parameters (EC, AN, Al, Cu, and Cr) affording 89% correct assignations in backward stepwise mode analysis. Principal component analysis and factor analysis were used to investigate the origins of each water quality parameter based on the three clustered regions and successfully yielded eight latent factors loadings for each period that significantly identified the pollution sources and types along the river. The pollution sources for moderate and high pollution level areas are anthropogenic sources (landfill, industrial activities, and sewage discharge). Agricultural runoff is the main pollution source for the low pollution level areas. This study has shown classifications of river water quality based on seasonal and spatial criteria.

Impact Identification of Estuarine Water Quality to Marine Biota: A Case Study in Wonorejo Estuary, Indonesia

2017 ◽  
Vol 862 ◽  
pp. 96-101 ◽  
Author(s):  
Wazirotus Sakinah ◽  
Suntoyo ◽  
Mukhtasor
Keyword(s):  
Water Quality ◽  
Marine Pollution ◽  
Field Work ◽  
Quality Standard ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Marine Biota ◽  
Fish Ponds ◽  
High Concentration ◽  
Estuarine Water Quality

Marine pollution in Wonorejo estuary has been a concern. Partly, marine pollution is carried by the river and the effluent from fish ponds. The amount of fish harvesting for fishermen and fish ponds farmers, especially shrimp ponds decreases time by time. The aim of this study is to know water quality parameters that have exceeded from the quality standard criteria from field work and their impacts to marine biota. Sampling of water quality took place at ten stations along river up to open sea with three points of depth to find out the concentration of ammonia, phosphate, BOD, DO, and phenol. The average concentrations of water quality parameters, 0.6 mg/L for ammonia, 0.09 mg/L for phosphate, 6.8 mg/L for BOD, 5.51 mg/L for DO, and 0.0451 mg/L for phenol, respectively. High concentration of phenol can cause a death for some marine biota.

scholarly journals A comparative evaluation of surface water quality standards for lakes and fish ponds from Bucharest and vicinity

2020 ◽  
Vol 2 (2) ◽  
pp. 30-37
Author(s):  
Gina Vasile Scaeteanu ◽  
Roxana Maria Madjar ◽  
Mala-Maria Stravescu-Bedivan
Keyword(s):  
Water Quality ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Aquatic Organisms ◽  
Ammonium Nitrogen ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Hardness ◽  
Fish Ponds ◽  
Nitrogen And Phosphorus

Monitoring of lakes and ponds water quality parameters is important to evaluate the interactions between quality and effects on aquatic organisms’ growth and health. Even if each water parameter individually may not be relevant, several parameters together can reveal dynamic processes that occur in the water. For instance, unbalanced pH values may increase ammonia and hydrogen sulfide toxicity. Nitrogen and phosphorus are associated with plant and algae growth, although phosphorus is generally the limiting nutrient in freshwater bodies. Accordingly, it is recommended to monitor and assess water quality parameters based on routine analyses. Therefore, the aim of this study was to generate an overview of our researches related to the monitoring of water quality collected from lakes and fish ponds. The parameters on the basis of which was evaluated the quality of water were: pH, electrical conductivity (EC), total hardness (TH), chemical oxygen demand (COD), nitrate-nitrogen (N-NO3-), nitrite nitrogen (N-NO2-), ammonium nitrogen (N-NH4+), phosphate phosphorus (P-PO43-).

Investigation of Some Water Quality Parameters of Pond Water under Mymensingh Municipality

2015 ◽  
Vol 8 (1) ◽  
pp. 85-89
Author(s):  
F Zannat ◽  
MA Ali ◽  
MA Sattar
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Chemical Properties ◽  
Pond Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Urban Region ◽  
Mn Toxicity ◽  
Ph Values ◽  
Drinking Water Standard

A study was conducted to evaluate the water quality parameters of pond water at Mymensingh Urban region. The water samples were collected from 30 ponds located at Mymensingh Urban Region during August to October 2010. The chemical analyses of water samples included pH, EC, Na, K, Ca, S, Mn and As were done by standard methods. The chemical properties in pond water were found pH 6.68 to 7.14, EC 227 to 700 ?Scm-1, Na 15.57 to 36.00 ppm, K 3.83 to 16.16 ppm, Ca 2.01 to 7.29 ppm, S 1.61 to 4.67 ppm, Mn 0.33 to 0.684 ppm and As 0.0011 to 0.0059 ppm. The pH values of water samples revealed that water samples were acidic to slightly alkaline in nature. The EC value revealed that water samples were medium salinity except one sample and also good for irrigation. According to drinking water standard Mn toxicity was detected in pond water. Considering Na, Ca and S ions pond water was safe for irrigation and aquaculture. In case of K ion, all the samples were suitable for irrigation but unsuitable for aquaculture.J. Environ. Sci. & Natural Resources, 8(1): 85-89 2015

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