Seasonal variation of antibiotics in surface water of Pudong New Area of Shanghai, China and the occurrence in typical wastewater sources

AbstractCoal mining and ancillary activities have the potential to cause water pollution characterized by acid mine drainage, acid mine leachates, extreme pH conditions and heavy metal contaminations. In the present work, 33 water samples in premonsoon and 34 water samples in monsoon were collected from the surface water bodies of Ib Valley coalfield, India for hydrogeochemical analysis. In premonsoon, pH, TSS, Turbidity, DO, BOD, COD, Magnesium, Cadmium, Selenium, Nickel, Aluminum and in monsoon, pH, TSS, Turbidity, DO, BOD, COD, Iron, Cadmium, Selenium, Nickel and Aluminum were nonconforming to the permissible limit set by the Bureau of Indian Standards, World Health Organisation and Ministry of Environment, Forest and Climate Change, Government of India. The average BOD/COD ratio of less than 0.6 in both seasons indicated Ib valley coalfield water was not fairly biodegradable. The analysis of variance (ANOVA) revealed that significant seasonal variation (p < 0.05) was observed in the hydro-chemical parameters viz. TSS, turbidity, redox potential, acidity, total hardness, bicarbonate alkalinity, chloride, sulfate, nitrate, sodium, calcium, magnesium, iron, cadmium, chromium and magnesium during the entire sampling period. Whereas, no significant seasonal variation (p > 0.05) was observed in pH, EC, TDS, DO, BOD, residual chlorine, COD, oil and grease, fluoride, potassium, zinc, copper, selenium, nickel, aluminum, boron, silica, temperature, salinity, cyanide and phenol. Water Quality Index revealed that 39.39% and 35.29% samples belong to poor water quality category in premonsoon and monsoon, respectively. As per Heavy Metal Pollution Index, Degree of Contamination (Cd) and Heavy metal evaluation index, medium degree of pollution were exhibited by 51.52%, 30.30% and 45.45% samples in premonsoon and 20.59%, 35.29% and 26.47% samples in monsoon. Whereas, 5.88%, 2.94% and 5.88% samples were having high degree of pollution in monsoon and 15.15% samples caused high degree of pollution with respect to Cd in premonsoon. However, EC, Na%, PI, SAR and RSC values suggested that the water can be used for irrigation. Water type of the region had been found to be Ca–Mg–Cl–SO4 by Piper diagram.

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Occurrence, Seasonal Variation and Risk Assessment of Antibiotics in the Surface Water of North China

Archives of Environmental Contamination and Toxicology ◽

10.1007/s00244-019-00605-0 ◽

2019 ◽

Vol 77 (1) ◽

pp. 88-97 ◽

Cited By ~ 4

Author(s):

Jiaxing Cheng ◽

Lei Jiang ◽

Tangqiang Sun ◽

Yan Tang ◽

Zhenxia Du ◽

...

Keyword(s):

Risk Assessment ◽

Seasonal Variation ◽

Surface Water ◽

North China

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Spatial and Seasonal Variation in Surface Water pCO2 in the Ganges, Brahmaputra, and Meghna Rivers on the Indian Subcontinent

Aquatic Geochemistry ◽

10.1007/s10498-015-9262-2 ◽

2015 ◽

Vol 21 (5) ◽

pp. 437-458 ◽

Cited By ~ 9

Author(s):

Takuya Manaka ◽

Hiroyuki Ushie ◽

Daisuke Araoka ◽

Souya Otani ◽

Akihiko Inamura ◽

...

Keyword(s):

Seasonal Variation ◽

Surface Water ◽

Indian Subcontinent ◽

Spatial And Seasonal Variation ◽

The Ganges

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Comparative Study of the Changes in Climatic Condition and Seasonal Drought in North-Western Part of Bangladesh

Journal of the Asiatic Society of Bangladesh Science ◽

10.3329/jasbs.v44i2.46561 ◽

2018 ◽

Vol 44 (2) ◽

pp. 195-210

Author(s):

Riaz Hossain Khan ◽

Mohammad Saiful Islam

Keyword(s):

Seasonal Variation ◽

Surface Water ◽

Climatic Condition ◽

Winter Season ◽

Aridity Index ◽

Monsoon Period ◽

Seasonal Drought ◽

Term Variation ◽

North Western

The study examines the long-term and seasonal climatic variations in north-western part of Bangladesh (NWPB). Long-term variation of different climatic parameters reveals that significant increases in temperature are associated with decreasing evaporation which could be attributed to wind speed variation and seasonal variation of temperature. Increase of monsoon rainfall during monsoon period and scarcity or absence of rainfall during dry periods increase the region’s vulnerability to monsoon flood and seasonal drought, respectively. The area witnesses a single peak of rainfall in July during the first half of the study period (1964-1985), whereas the same experiences bimodal peak of rainfall during July and September in the second half of the study period (1986-2007). This may signify the changes of climatic condition in the studied area. Annual variability of rainfall as well as the unpredictable shifting of rainfall periods might be a possible reason for the seasonal drought. The aridity index indicates that the overall dryness of the area has increased during winter season. The study shows that humidity increases at all stations throughout the year. The study also shows that long-term seasonal variation of both surface and groundwater level is also prominent. Gradual decrease of surface water level was observed in Teesta River which might be due to unilateral withdrawal of surface water in the upper riparian. Detailed investigation on hydrometeorology of the study area is required to see whether there is any trend of climate change in the area. Asiat. Soc. Bangladesh, Sci. 44(2): 195-210 December 2018

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Seasonal variation of microplastics in seawater and zooplankton in Jiaozhou Bay, the Yellow Sea

10.5194/egusphere-egu2020-3892 ◽

2020 ◽

Author(s):

Xiaoxia Sun

Keyword(s):

Seasonal Variation ◽

Chemical Composition ◽

Surface Water ◽

Yellow Sea ◽

Jiaozhou Bay ◽

Coastal Areas ◽

Average Concentration ◽

The Yellow Sea ◽

Plastic Pollution ◽

Four Seasons

Plastic pollution is a globally concerning issue in marine environments. There is currently little research about the seasonal changes in microplastics in coastal areas. Here, we report a seasonal study on the concentrations and characteristics of microplastics in the surface seawater and zooplankton of Jiaozhou Bay, a typical bay in the west Yellow Sea. The concentrations of microplastics in the surface water of Jiaozhou Bay were 0.063, 0.174, 0.094, and 0.050 pieces/m3 in February, May, August and November, respectively, with an annual average concentration of 0.095 pieces/m3, a low value compared with the plastic concentrations of other coastal areas. The size of the collected microplastics ranged from 346 to 155200 &#956;m, with an average of 5093 &#956;m. The overall percentages of fibers, fragments and plastic foams were 29%, 55% and 16%, respectively. Fragments were the most dominant shape in four seasons. Nine plastic polymers were detected from the surface water of Jiaozhou Bay. The dominant chemical composition was polypropylene (PP), accounting for 51.04% of polymers, followed by polyethylene (PE), accounting for 26.04% of polymers. The seasonal variation of plastic characteristics in Jiaozhou Bay, including the shape, color and chemical composition, was significant. The highest concentration of plastics occurred in May and the lowest concentration of plastics occurred in November. Strong rainfall resulted in an increase in the plastic concentration in May, and winds and eddies affected the spatial distribution of plastics in Jiaozhou Bay. Focused on the dominant zooplankton groups in Jiaozhou Bay, the morphology, color, size, chemical composition and quantity of MPs in zooplankton were investigated in Jiaozhou Bay. The results showed that the MPs in zooplankton of the Jiaozhou Bay were dominated by fibers. The proportions of fiber in February, May, August and November were 91%, 88%, 89% and 88%, respectively. The average size of MPs in zooplankton was 441&#177;2, 468&#177;2, 576&#177;2, and 379&#177;4&#956;m in the four seasons. For the 2 common zooplankton groups in the 4 seasons, the MP/zooplankton was 0.3, 0.26, 0.17, 0.19 for copepod, and 0.22, 0.19, 0.17, 0.45 for chaetognath, respectively.

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