scholarly journals Spatiotemporal Patterns in River Water Quality and Pollution Source Apportionment in the Arid Beichuan River Basin of Northwestern China Using Positive Matrix Factorization Receptor Modeling Techniques

2020 ◽  
Vol 17 (14) ◽  
pp. 5015
Author(s):  
Lele Xiao ◽  
Qianqian Zhang ◽  
Chao Niu ◽  
Huiwei Wang
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Surface Water Quality ◽  
Organic Pollution ◽  
Dry Season ◽  
Mineral Weathering ◽  
Pollution Sources ◽  
Wet Season ◽  
Pmf Model ◽  
Industrial Sewage

Deteriorating surface water quality has become an important environmental problem in China. In this study, river water quality was monitored in July (wet season) and October (dry season) 2019 at 26 sites, and a water quality index (WQI) and positive matrix factorization (PMF) model were used to assess surface water quality and identify pollution sources in the Beichuan River basin, Qinghai Province, China. The results showed that 53.85% and 76.92% of TN, 11.54% and 34.62% of TP, 65.38% and 76.92% of Fe, and 11.54% and 15.38% of Mn samples in the dry and wet seasons, respectively, exceeded the Chinese Government’s Grade III standards for surface water quality. The spatial variation in water quality showed that it gradually deteriorated from upstream to downstream as a result of human activity. The temporal variation showed that water quality was poorer in the wet season than in the dry season because of the rainfall runoff effect. The PMF model outputs showed that the primary sources of pollution in the wet season were mineral weathering and organic pollution sources, domestic and industrial sewage, and agricultural and urban non-point pollution sources. However, in the dry season, the primary sources were mineral weathering and organic pollution sources, industrial sewage, and domestic sewage. Our results suggest that the point pollution sources (domestic and industrial sewage) should be more strictly controlled, as a priority, in order to prevent the continued deterioration in water quality.

scholarly journals Seasonal variation of water quality and waste loads in Buriganga river with GIS visualization

2020 ◽  
Vol 55 (2) ◽  
pp. 113-130
Author(s):  
MK Alam ◽  
MA Uddin ◽  
MF Satter ◽  
N Majed
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Municipal Wastewater ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Dry Season ◽  
Water Quality Parameters ◽  
High Concentration ◽  
Wet Season ◽  
Buriganga River

Pollution status of the Buriganga river has been assessed in this study using GIS tool to analyze the spatial and seasonal distribution of several water quality parameters from six surface water sampling stations. In addition, characterization of water quality from certain selected outfalls discharging wastewater along the river was accomplished as well. The observed surface water quality concentration was higher during dry season for BOD5 (13.68-22.8 mg/l), COD (22-30 mg/l), TDS (280- 303 mg/l), PO4(5.6- 7.3 mg/l) while an exception was found for NH3-N (0.67- 0.89 mg/l) and Turbidity (25.19 to 91.18). The DO level was found noticeably lower during dry season (1.73 to 2.36 mg/l) than wet season (3.27 to 4.68 mg/l). Moreover, Principal Component Analysis identified high ionic distributions during wet season and more organic pollution during dry season. Water quality parameters TDS, TSS, EC and COD were obtained in high concentration levels from industrial outfalls towards the downstream of the river while BOD5, NH3-N were higher from municipal wastewater outfalls towards the upstream of the river. The observed pollution loading from the outfalls revealed the location at Dholaikhal as the major pollution source in the river with a BOD5 (11681- 12243 kg/day) and TDS (9749- 32348 kg/day) loading. Accordingly, influence of nearest wastewater sources on the surface water quality was evident through GIS representation of the parameters. Bangladesh J. Sci. Ind. Res.55(2), 113-130, 2020

Modelling the Effects of Acid Deposition: Estimation of Long-Term Water Quality Responses in Forested Catchments in Finland

1988 ◽  
Vol 19 (2) ◽  
pp. 99-120 ◽  
Author(s):  
A. Lepistö ◽  
P. G. Whitehead ◽  
C. Neal ◽  
B. J. Cosby
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Base Cations ◽  
Surface Water Quality ◽  
Mineral Weathering ◽  
Co2 Solubility ◽  
Forested Catchments ◽  
Deposition Rates ◽  
Magic Model

A modelling study has been undertaken to investigate long-term changes in surface water quality in two contrasting forested catchments; Yli-Knuutila, with high concentrations of base cations and sulphate, in southern Finland; and organically rich, acid Liuhapuro in eastern Finland. The MAGIC model is based on the assumption that certain chemical processes (anion retention, cation exchange, primary mineral weathering, aluminium dissolution and CO2 solubility) in catchment soils are likely keys to the responses of surface water quality to acidic deposition. The model was applied for the first time to an organically rich catchment with high quantities of humic substances. The historical reconstruction of water quality at Yli-Knuutila indicates that the catchment surface waters have lost about 90 μeq l−1 of alkalinity in 140 years, which is about 60% of their preacidification alkalinity. The model reproduces the declining pH levels of recent decades as indicated by paleoecological analysis. Stream acidity trends are investigated assuming two scenarios for future deposition. Assuming deposition rates are maintained in the future at 1984 levels, the model indicates that stream pH is likely to continue to decline below presently measured levels. A 50% reduction in deposition rates would likely result in an increase in pH and alkalinity of the stream, although not to estimated preacidification levels. Because of the high load of organic acids to the Liuhapuro stream it has been acid before atmospheric pollution; a decline of 0.2 pH-units was estimated with increasing leaching of base cations from the soil despite the partial pH buffering of the system by organic compounds.

scholarly journals Using Water Quality Index to evaluate surface water quality in the South of Binh Duong province

2019 ◽  
Vol 2 (6) ◽  
pp. 118-127
Author(s):  
Le Ngoc Tuan ◽  
Tao Manh Quan ◽  
Tran Thi Thuy
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Carrying Capacity ◽  
Surface Water Quality ◽  
Dry Season ◽  
Water Bodies ◽  
The South ◽  
Good Level ◽  
High Concentrations ◽  
Receiving Water

The South of Binh Duong province has undergone various economic activities and significantly contributed to the local budget, but has also posed adverse impacts on environment where the decrease in surface water quality is a vital of concern. To evaluate the change in surface water quality and carrying capacity of receiving water bodies in southern waterways of Binh Duong province (not mentioned in this work), the surface water quality data was recalled from 25 monitoring stations during 2012 – 2016 and sampled at 93 locations in the dry season of 2017. In the period of 2012 – 2016, the SWQ fluctuated from very poor to good level (WQI = 20 – 88). The sites of interest were the Chom Sao canal (RSG5), Bung Cu stream (RĐN2), and Thi Tinh river (RTT1) (WQI <7) with high concentrations of BOD5, COD, and coliform, etc. In the dry season of 2017, the SWQ was ranged from very poor to good level (WQI = 16 – 88). Some monitoring locations should be taken into consideration were STT2 in Thi Tinh River, MC25 in Cau Dinh stream, MC50 in Cat - Bung Biep stream, and MC91 in Cai stream due to high concentrations of SS, turbidity, NH4+-N, BOD5, COD, etc. Accordingly, it is necessary to continue studying and assessing the waste water generation, the carrying capacity of receiving water bodies in relation to the local socio-economic development plans, as a basic for local surface water management and the sustainable development.  

Multivariate statistical techniques for the assessment of surface water quality of Fuji River Basin, Japan

2006 ◽  
Vol 6 (5) ◽  
pp. 59-67 ◽  
Author(s):  
S. Shrestha ◽  
F. Kazama
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
River Basin ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Organic Pollution ◽  
Quality Parameters ◽  
Point Sources ◽  
Discharge Temperature

Different multivariate statistical techniques were used to evaluate temporal and spatial variations of surface water-quality of Fuji river basin using data sets of 8 years monitoring at 13 different sites. The hierarchical cluster analysis grouped thirteen sampling sites into three clusters i.e. relatively less polluted (LP), medium polluted (MP) and highly polluted (HP) sites based on the similarity of water quality characteristics. The principal component analysis/factor analysis indicated that the parameters responsible for water quality variations are mainly related to discharge and temperature (natural), organic pollution (point sources) in LP areas; organic pollution (point sources) and nutrients (non point sources) in MP areas; and organic pollution and nutrients (point sources) in HP areas. The discriminant analysis showed that six water quality parameters (discharge, temperature, dissolved oxygen, biochemical oxygen demand, electrical conductivity and nitrate nitrogen) account for most of the expected temporal variations whereas seven water quality parameters (discharge, temperature, biochemical oxygen demand, pH, electrical conductivity, nitrate nitrogen and ammonical nitrogen) account for most of the expected spatial variations in surface water quality of Fuji river basin.

Characterization and variations of dissolved organic matter in the Lake Taihu area of China

2012 ◽  
Vol 12 (4) ◽  
pp. 439-450
Author(s):  
Yong Qiu ◽  
Hanchang Shi ◽  
He Jing ◽  
Rui Liu ◽  
Qiang Cai ◽  
...  
Keyword(s):  
Water Quality ◽  
Organic Matter ◽  
Surface Water ◽  
Dissolved Organic Matter ◽  
Lake Taihu ◽  
Surface Water Quality ◽  
Spatial Variations ◽  
Nutrient Concentrations ◽  
Wet Season ◽  
Seasonal And Spatial Variations

Lake Taihu in China is a eutrophicated lake surrounded by industrial and urbanized zones, thus its water quality often suffers from organic and nutrient contaminants. In this paper, a 1 year water quality survey was conducted around the lake and statistical analysis tools were used to characterize the variations of organic pollutants. Analysis of variance (ANOVA), cluster analysis and principal component analysis (PCA) confirm the seasonal and spatial variations of surface water quality in Lake Taihu. Surface water quality is better during the wet season and worse downstream during the dry season. The dissolved organic matter was further analyzed using a parallel factor analysis (PARAFAC) model with three-dimensional excitation-emission fluorescence matrices. Four components were extracted from the fluorescence data, namely, two autochthonous biodegradation products (C1: amino acids, C4: protein-like materials) and two humic-like substances (C2: from microbial processing, C3: terrestrial). C1 and C4 were dominant in the chromophoric dissolved organic matter (CDOM) fluorophores; this result is similar to those of other inland water bodies in China. The CDOM fluorophores showed similar seasonal and spatial variations with common water quality indices, with the exception of the seasonal responses of C2 in winter. Bivariance correlations between the organic and nutrient concentrations and the fluorescence intensities of the CDOM fluorophores imply possible common sources of the different contaminants. This paper exemplifies advanced statistical methods as a useful tool in understanding the behavior of contaminants in inland fresh water systems.

scholarly journals Application of Assessment Models for Health Risk and Pollution From Surface Water From Okumpi River in Nwangele, Imo State, Nigeria

2021 ◽  
Author(s):  
Ihenetu chukwuemeka Stanley ◽  
Njoku Obinna ◽  
Ibe Chizoruo
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Hazard Quotient ◽  
Contamination Factor ◽  
Carcinogenic Risk ◽  
Dry Season ◽  
Wet Season ◽  
Dry Seasons ◽  
The Mean ◽  
Wet And Dry Seasons

Abstract The study targets at examining the pollution assessment and environmental health effects of surface water from Okumpi River. Ten surface water samples were collected randomly both in wet and dry seasons within the river that was assessed. The models used for assessment include contamination factor (Cf), pollution load index (PLI), water quality index, dermal and absorption exposure dose, hazard quotient (HQ), hazard index (HI) and carcinogenic risk (CR). The mean and standard deviation pH value in the present study during the wet and dry seasons varied from 6.21±0.22 - 5.75±0.41. The mean and standard deviation EC in the current study ranges between 219.15±12.20 - 193.30±14.81 μS/cm for wet and dry seasons which are found to be in line with the WHO standard used. The mean and standard deviation of DO for this study during the wet and dry seasons were found to be 10.03±0.58 - 6.47±0.41 (mg/L). TDS for wet and dry seasons ranges from 374.79±5.33 - 121.65±6.33 mg/L. The colour of the water samples at both seasons were lower than the permissible limit 9.60±0.89 - 11.20±3.11 PCU against 15 PCU used as the standard. The nitrate [9.05±1.08 - 8.09±1.57], sulphate [3.91±0.51 - 3.73±0.46] and phosphate [82.78±3.86 - 81.76±3.32] in this present study for wet and dry season were all found to be below the standard of WHO for safe drinking water. Among all the heavy metals studied, Iron [1.28±0.01 - 0.37±0.01 (mg/L)] and Nickel [0.98±0.04 - 1.03±0.04 (mg/L)] were found more in the study in wet and dry seasons while cadmium was not detected in both seasons. Nickel showed high contamination factor of 48.24 – 42.40 in wet and dry season while cupper showed the least contamination factor of 0.012 – 0.008 in wet and dry season. The study has revealed that the surface water is not suitable for drinking purposes as seen by the high water quality index which the calculated value gave 1205.56-1236.26 for wet season and dry season which is > 300. The Hazard quotient via ingestion and Hazard quotient via dermal has a reduction in the order of lead > nickel > iron > manganese > copper > zinc and lead > zinc > nickel > copper > iron > manganese > cadmium, in cooperation in children and adults in wet season, correspondingly. The Hazard quotient via ingestion and Hazard quotient via dermal has a decrease in the following order of nickel > lead > manganese > copper > iron > zinc and lead >zinc > nickel > copper > manganese > iron > for both children and adults in dry season, respectively. Lead possess carcinogenic risk for the inhabitants of this area due to the value of the carcinogenic risk n wet season of 4.05E-4 in adult and 1.55E-3 in children, in dry season of 2.57E-4 in adult and 9.88E-4 in children, against the standard set by the USEPA of 10-6 – 10-4. The water pollution monitoring agency of this area should regularly check the water quality assessment of this river and should suggest treatment through filtration, boiling and the use of additives in order to reduce the risk of water related problems.

scholarly journals Heavy Metals Assessment of Abattoir Effluent on Surface Water Quality of River Katsina-Ala of Benue State, Nigeria

2015 ◽  
Vol 49 ◽  
pp. 90-98 ◽  
Author(s):  
Addy Jose Vershima ◽  
Kabough Jonathan Terkimbi ◽  
Azua Terese ◽  
Aliyu Ibrahim
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Surface Water ◽  
Rainy Season ◽  
Metal Content ◽  
Surface Water Quality ◽  
Dry Season ◽  
Heavy Metal Content

Water samples of six sampling sites (two downstream, two abattoir sites and two upstream sites) were analyzed using standard methods to determined and assessed heavy metal content of abattoir effluent on surface water quality of River Katsina-Ala, Benue State, Nigeria for rainy and dry seasons. Rainy season heavy metals results were; Cr6+ (0.032+0.06mg/l); Mn2+ (0.16+0.034mg/l); Cu2+ (0.86 +0.46mg/l); Pb2+(0.006+0.002mg/;Cd2+(0.0023+0.004mg/l) and the dry season results were: Cr6+(0.028+0.007mg/l); Mn2+(0.07+0.05mg/l); Cu2+(0.85+0.16mg/l); Pb2+(0.0030+0.014mg/l); Cd2+(0.0021+0.012mg/). Most heavy metals for both seasons were within the maximum permissible limit set by Federal Ministry of Environment, Nigeria (1991). The mean concentrations of Zn2+(1.70+0.29 mg/l) for rainy season and Zn2+(1.33+0.23mg/l) dry season were above the control and standard safe limits of < 1mg/l FMEnv (1991) for surface water quality. There was no significance difference (p<0.05) between the means from upstream and downstream sites for both seasons; though significance difference (p<0.05) existed at the abattoir sites. River Katsina –ala is slightly polluted. Heavy metal content from effluents from abattoir contributed to upset the physicochemical balance of the river. Bioaccumulation and bio-magnification of heavy metals may occur from prolong usage of the river water for drinking. It is suggested that the abattoir effluent be treated before discharge into the river to reduce environmental and health hazards.

scholarly journals Temporal Aspects of Surface Water Quality Variation Using Robust Statistical Tools

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Adamu Mustapha ◽  
Ahmad Zaharin Aris ◽  
Mohammad Firuz Ramli ◽  
Hafizan Juahir
Keyword(s):  
Water Quality ◽  
Surface Water ◽  
Oxygen Demand ◽  
Surface Water Quality ◽  
Repeated Measure ◽  
Wet Season ◽  
Statistical Tools ◽  
Linear Effect ◽  
Water Quality Variation ◽  
Quality Variation

Robust statistical tools were applied on the water quality datasets with the aim of determining the most significance parameters and their contribution towards temporal water quality variation. Surface water samples were collected from four different sampling points during dry and wet seasons and analyzed for their physicochemical constituents. Discriminant analysis (DA) provided better results with great discriminatory ability by using five parameters with (P<0.05) for dry season affording more than 96% correct assignation and used five and six parameters for forward and backward stepwise in wet season data withP-value (P<0.05) affording 68.20% and 82%, respectively. Partial correlation results revealed that there are strong (rp=0.829) and moderate (rp=0.614) relationships between five-day biochemical oxygen demand (BOD5) and chemical oxygen demand (COD), total solids (TS) and dissolved solids (DS) controlling for the linear effect of nitrogen in the form of ammonia (NH3) and conductivity for dry and wet seasons, respectively. Multiple linear regression identified the contribution of each variable with significant valuesr= 0.988,R2= 0.976 andr= 0.970,R2= 0.942 (P<0.05) for dry and wet seasons, respectively. Repeated measuret-test confirmed that the surface water quality varies significantly between the seasons with significant valueP<0.05.

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