scholarly journals Evaluation of Water Quality and Heavy Metals in Wetlands along the Yellow River in Henan Province

2020 ◽  
Vol 12 (4) ◽  
pp. 1300 ◽  
Author(s):  
Hong ◽  
Zhao ◽  
Chang ◽  
Peng ◽  
Wang ◽  
...  
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Yellow River ◽  
Spatiotemporal Variation ◽  
The Yellow River ◽  
Lower Yellow River ◽  
Heavy Metal Concentrations ◽  
Flood Season

Assessing spatiotemporal variation in water quality and heavy metals concentrations in wetlands and identifying metal contamination source are crucial steps for the protection and sustainable utilization of water resources. Using the water quality identification index (Iwq), heavy metal pollution index (HPI), hierarchical cluster analysis (HCA) and redundancy analysis (RDA), we evaluated spatiotemporal variation in water quality and heavy metals concentrations, and their interrelation in wetlands along the middle and lower Yellow River. The average Iwq was highest during flood season but the average HPI was lowest in the same season. Meanwhile, the trend in mean HPI across three hydrological seasons was the opposite to that of mean Iwq. There was significant variation in wetlands water pollution status across seasons. During the flood season, the wetlands in the affected area with hanging river were seriously polluted. In other seasons, pollution in the artificial wetlands was even more severe. Moreover, serious pollution of wetlands in belt transect #03 (Yuanyang-Zhongmu) was more frequent. Dissolved oxygen and chemical oxygen demand strongly influenced heavy metal concentrations, while other water quality parameters had different influences on heavy metal concentrations in different hydrological seasons. The causes of water pollution were divided into natural factors and human disturbance (with potential relationships between them). The polluted wetlands were greatly affected by the Yellow River during the flood season while they were more impacted by agricultural and domestic sewage discharge in other seasons. However, heavy metal deposition and leaching into riparian wetlands were still affected by diverse channel conditions. If this trend is allowed to continue unabated, wetlands along the middle and lower Yellow River are likely to lose their vital ecological and social functions.

scholarly journals Simulation of the Transboundary Water Quality Transfer Effect in the Mainstream of the Yellow River

Water ◽  
2018 ◽  
Vol 10 (8) ◽  
pp. 974 ◽  
Author(s):  
Xuan Zhang ◽  
Jungang Luo ◽  
Jin Zhao ◽  
Jiancang Xie ◽  
Li Yan ◽  
...  
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Water Consumption ◽  
Inner Mongolia ◽  
Yellow River ◽  
Transfer Effect ◽  
Simulation System ◽  
The Yellow River ◽  
Transboundary Water ◽  
Technical Problems

In order to not only solve the technical problems of quantifying the degree and range of the effect that is caused by the water quality of upstream on that of downstream portions of a river, and of dividing the responsibility of transboundary water pollution, but also to tackle the difficulty in adapting to dynamic changes of the traditional water quality model in terms of practical application, pollutant discharge and water consumption were taken as the main influence factors to build the transboundary water quality transfer effect model. Supported by a comprehensive integration platform, the transboundary water quality transfer effect simulation system of the Yellow River mainstream was constructed. The simulation results show that the concentration decreases exponentially along the range. Gansu, Ningxia, and Inner Mongolia had a more significant effect of exceeding standard water consumption on pollution, while Ningxia, Inner Mongolia, Shaanxi, and Shanxi had a more distinct contribution to the over standard pollution discharge effect. The proposed model and simulation system can provide new methods and instruction for quantifying the degree and range of transboundary water pollution, as well as dividing the responsibility for water environment compensation.

scholarly journals Pengaruh Toksisitas Timbal Asetat Pb(CH3COO) Dan Kepadatan Terhadap Perubahan Warna Dan Persentase Anakan Jantan Kutu Air Daphnia sp.

2018 ◽  
Vol 1 (1) ◽  
pp. 68
Author(s):  
Ariestyanto Eka Putera ◽  
Andi Rahmad Rahim ◽  
Firma Fika Rahmawati
Keyword(s):  
Water Pollution ◽  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Research Design ◽  
Adult Female ◽  
Main Parameter ◽  
Color Change

Pb (CH3COO) was a metal that could accumulated in organisms tissue. Pb contents in organismstissue increased by increasing of Pb (CH3COO) concentration in the water and the durationorganisms that live in water pollution by Pb (CH3COO). It is caused organisms did not regulatedby Pb (CH3COO) one that turns in at organisms body. Daphnia sp.are sensitive to the chemicalin the waters ecology and has an important role in the ecology of freshwater as the first of trophiclevel in the waters ecology. The objective of this study was to obtain information about effect theconcentration of heavy metals Pb (CH3COO) in differences densities of Daphnia sp.to colorchanges and percentage of male larvae Daphnia sp. This research design uses factorial cmpleterandoms design. The main parameter in this research is color changing and male larvae on theDaphnia sp. While supporting parameters in this research is water quality (temperature, pH,amonia and DO). The result of research indicates that the heavy metal Pb (CH3COO) withdifferent concentration to the adult female Daphnia sp. showed significantly difference (p<0,05)of the Daphnia sp. color change, the highest density of Daphnia sp. (400 Daphnias) with heavymetal concentration 3.16 mg/l.

scholarly journals Characteristics of municipal landfill leachate and its impact on surrounding agricultural land

2016 ◽  
Vol 29 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Esrat Jahan ◽  
Ashrafun Nessa ◽  
Md Faruque Hossain ◽  
Zakia Parveen
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Agricultural Land ◽  
Agricultural Soils ◽  
Quality Parameters ◽  
Heavy Metal Concentrations ◽  
Permissible Limits ◽  
Plant Samples ◽  
Agricultural Areas

An investigation was carried out to assess the characteristics of leachate and its impact on surrounding agricultural land of the Matuail landfill site, Dhaka, Bangladesh. Leachate samples were collected from active dumping areas; soil and plant samples from three different sites of surrounding agricultural areas. Water quality parameters like pH, DO, BOD, COD, TDS were measured for leachate samples and heavy metals like Cu, Zn, Pb, Cd, Ni were analyzed for leachate, soil and plant samples. The results showed that untreated leachate concentrations of DO, BOD, COD and TDS were 1.34, 96, 1343 and 7120 mg/l, respectively that exceeded inland surface water standard but the concentrations of DO (7.49 mg/l), BOD (10 mg/l) and TDS (790/l) in the treated leachate pond were found within the permissible limits. The leachate samples are not contaminated with heavy metals as these are present below the toxic limits. The heavy metal concentrations in agricultural soils are below the permissible limits except Pb; but in plants the concentrations of Cu, Zn and Pb exceeded the critical limits.Bangladesh J. Sci. Res. 29(1): 31-39, June-2016

scholarly journals Distribution and Risk Assessment of Toxic Pollutants in Surface Water of the Lower Yellow River, China

Water ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1582
Author(s):  
Zhi-Hua Li ◽  
Ze-Peng Li ◽  
Xue Tang ◽  
Wen-Hao Hou ◽  
Ping Li
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Risk Assessment ◽  
Surface Water ◽  
Water Samples ◽  
Yellow River ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Lower Yellow River ◽  
The Lower Yellow River

The lower reaches of the Yellow River is known for the rapid development of industry and agriculture, which has also led to some pollution. However, information about the level of toxic contaminants in the surface waters is lacking in this area. Therefore, five sampling points were set in the lower Yellow River to investigate the distribution of various pollutants and analyze the potential risks. The presence of heavy metals (Heavy metals tested for in this study were: Mercury (Hg), Arsenic (As), Copper (Cu), Chromium (Cr), and Zinc (Zn)) and antibiotics (Antibiotics tested for in this study were: Enrofloxacin (ENR), Ciprofloxacin (CIP), and Norfloxacin (NOR)) in water samples taken from the lower Yellow River were measured to reveal the spatial distribution and risk potential of the compounds. Various water quality parameters (Water quality parameters used in this study were: chemical oxygen demand (COD), biological oxygen demand (BOD5), total phosphorus (TP), and total nitrogen (TN)) were also tested. Study results showed the main surface water pollution components were COD, BOD5, TN, and TP. The average levels were 37.79 mg/L, 16.64 mg/L, 4.14 mg/L, and 0.42 mg/L, respectively. Among the detected metals from the water samples, Hg (LOD-0.1 μg/L) levels were only in line with the surface water class III or worse. Both fish and water samples contained antibiotics. According to an ecological risk assessment conducted along the river, the distribution of pollutants in the waters exhibited a spatial relationship with the land-use pattern in the study region and the Kenli site was the most polluted. Research shows that up-to-date data on the residual levels and distribution characteristics of pollutants in the lower Yellow River could provide valuable baseline data and technical support for relevant government departments and their management going forward.

Characteristics Identification of Runoff and Sediment Flux Based on Wavelet Analysis Approach in Lower Yellow River

2014 ◽  
Vol 700 ◽  
pp. 506-510
Author(s):  
Yu Zhi Shi ◽  
Ming Yuan Fan ◽  
Yu Yan Zhang ◽  
Hai Jiao Liu ◽  
Xiao Feng Yang
Keyword(s):  
Climate Change ◽  
Time Series ◽  
Wavelet Analysis ◽  
Yellow River ◽  
Sediment Flux ◽  
The Yellow River ◽  
Lower Yellow River ◽  
Multi Scale ◽  
Flood Season ◽  
Water And Sediment

Due to the influences of climate change and human activities, the water and sediment flux of the Yellow River are certainly changing. This paper selects monthly time series of runoff and sediment flux from 1950 to 2009 for study at Lijin station, in lower Yellow River. A widely used identification method, wavelet analysis, is applied for recognizing changing point and cycle of the runoff and sediment respectively in multi-scale of annual, flood season and non-flood season. The results indicate that there are two significant changing points in 1985, 2002 year, and cycle recognized results are different in multi-scale as well as with different hydrology factors.

scholarly journals Mapping seasonal variation in the distribution and concentration of heavy metals using water quality index and geographic information system based kriging

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Kofi Adu-Boahen ◽  
Isaac. Boateng ◽  
Ishmael. Yaw. Dadson ◽  
Laud. Alfred. Dei ◽  
Kwabena. Barima. Antwi. ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Water Quality Index ◽  
Quality Index ◽  
World Health ◽  
Heavy Metal Concentrations ◽  
The World ◽  
Dry Seasons ◽  
Wet And Dry Seasons

Incessant monitoring of water is essential in terms of heavy metals and toxic substances as it provides detailed information on aquatic resources. Majority of lagoons receive freshwater from their catchment areas containing industrial and domestic waste. The paper analysed seasonal variations in the distribution and concentrations of Lead (Pb), Copper (Cu), Cadmium (Cd), and Manganese (Mn) in the Fosu lagoon in Ghana to ascertain the quality of the lagoon. Water was sampled from eighteen (18) different points on the lagoon and was analysed at the Water Research Institute (WRI) of the Center for Scientific and Industrial Research (CSIR) using Atomic Absorption Spectrometry (AAS) and the results were interpolated using kriging. The results obtained were compared with the World Health Organisation water quality index. Statistical analysis of heavy metal concentrations using Pearson’s two-tailed significance correlation showed positive correlations for both seasons; between Pb and Cu (0.297; sig. = 0.232, and 0.196; sig. = 0.436), and Cd and Mn (0.119; sig. = 0.643 and 0.191; sig. = 0.447) for the wet and dry seasons respectively. A paired sample t-test on concentrations also showed statistical differences between wet and dry seasons’ concentrations for Pb (t = 1.324; sig. = 0.203), Cu (t = 2.759; sig. = 0.013), and Cd (t = 3.056; sig. = 0.007), and Mn (t = -4.014; sig. = 0.001).  Pb and Cd showed higher concentrations above the World Health Organisation's permissible limits. Heavy metal concentrations of water samples analysed varied widely in terms of seasons and sampling points.

Heavy metals accumulation in freshwater mussels (Lamellidens marginalis) as a biological monitor inhabiting in Dhanmondi Lake, Dhaka, Bangladesh.

2016 ◽  
Vol 5 (10) ◽  
pp. 4933
Author(s):  
Sabia Sultana ◽  
A. K. M. Nur Alam Siddiki ◽  
Md. Rokonujjaman ◽  
M. Niamul Naser ◽  
Abdus Salam ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Soft Tissues ◽  
Freshwater Mussels ◽  
Heavy Metal Concentration ◽  
Heavy Metal Concentrations ◽  
Heavy Metals Accumulation ◽  
Manganese Zinc ◽  
Metals Accumulation ◽  
Test Level

The heavy metal concentration (e.g., Mn, Zn, Pb and Ni) were determined in soft tissues and shells of freshwater mussels (Lamellidens marginalis) at the various sites of Dhanmondi lake, Dhaka, Bangladesh between the period April, 2010 and March 2011. The heavy metal concentrations in shells and soft tissues of freshwater mussels were tended to vary significantly among sampling points and seasons in Dhanmondi Lake. Distribution of heavy metals in shell and soft tissue of Lamellidens marginalis followed the order Mn>Zn>Pb>Ni, respectively. According to the t-test, level of manganese, zinc and lead under investigation between shell and tissue showed statistically significant differences [Mn: t=-11.387; df=16; P=0.000; Zn: t=-2.590; df=16; P=0.020 and Pb: t=-2.8679; df=16; P=0.011].

scholarly journals High-Arsenic Groundwater in Paleochannels of the Lower Yellow River, China: Distribution and Genesis Mechanisms

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 338
Author(s):  
Chuanshun Zhi ◽  
Wengeng Cao ◽  
Zhen Wang ◽  
Zeyan Li
Keyword(s):  
Yellow River ◽  
The Yellow River ◽  
Rock Interaction ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Groundwater Samples ◽  
Groundwater Systems ◽  
Different Sources ◽  
High Arsenic ◽  
High Arsenic Groundwater

High–arsenic (As) groundwater poses a serious threat to human health. The upper and middle reaches of the Yellow River are well–known areas for the enrichment of high–arsenic groundwater. However, little is known about the distribution characteristics and formation mechanism of high-As groundwater in the lower reach of the Yellow River. There were 203 groundwater samples collected in different groundwater systems of the lower Yellow River for the exploration of its hydrogeochemical characteristics. Results showed that more than 20% of the samples have arsenic concentrations exceeding 10 μg/L. The high-As groundwater was mainly distributed in Late Pleistocene–Holocene aquifers, and the As concentrations in the paleochannels systems (C2 and C4) were significantly higher than that of the paleointerfluve system (C3) and modern Yellow River affected system (C5). The high-As groundwater is characterized by high Fe2+ and NH4+ and low Eh and NO3−, indicating that reductive dissolution of the As–bearing iron oxides is probably the main cause of As release. The arsenic concentrations strikingly showed an increasing tendency as the HCO3− proportion increases, suggesting that HCO3− competitive adsorption may facilitate As mobilization, too. In addition, a Gibbs diagram showed that the evaporation of groundwater could be another significant hydrogeochemical processes, except for the water–rock interaction in the study area. Different sources of aquifer medium and sedimentary structure may be the main reasons for the significant zonation of the As spatial distribution in the lower Yellow River.

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