Occurrence and distribution of endocrine-disrupting compounds in the Honghu Lake and East Dongting Lake along the Central Yangtze River, China

Yang, Yuyi; Cao, Xinhua; Zhang, Miaomiao; Wang, Jun

doi:10.1007/s11356-015-4980-y

Cited by 40 publications

(11 citation statements)

References 34 publications

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“…The results of a Pearson correlation between TP, TN, NH4-N, nitrate nitrogen (NO3-N), chemical oxygen demand (CODmn), Chla, SD, pH, EC, TDS, F − , water temperature (Tw), biochemical oxygen demand (BOD), P, E, T, and relative humidity (Rh) are shown in Table 4. CODmn, Chl-a, and BOD5 were strongly positively correlated with TP and TN (p < 0.01), which showed that the organic contaminants such as bait was the major pollution source [65]. The concentration of F − would be increased with the pH, EC, and TDS (p < 0.01), while the pH must be more than 7 [53].…”

Section: Statistical Analysis Resultsmentioning

confidence: 94%

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

Liu

Zhang

Sun

et al. 2019

Water

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Water quality safety is the key factor to maintain the ecosystem service functions of lakes. Field investigations and statistical analyses were carried out to study the water quality of a large, agriculture-stressed lakes (e.g., Chagan Lake) in Northeast China. The hydro-chemical properties of the Chagan Lake are HCO3·CO3-Na. Nutrient (N and P) and non-nutrient (pH and F−) were found to be the major factors that threaten water quality safety of the lake. The concentration of total nitrogen (TN) and total phosphorus (TP) was found to vary seasonally and at different locations. The overall lake water had mean TN and TP values of 2.19 mg/L and 0.49 mg/L, respectively, in summer. TN was the major factor for water quality deterioration in the western region of the lake, while TP was the principal factor in the other regions, as determined by a principal component analysis (PCA). Fluoride (F−) concentration in the lake water were related to the values of total dissolved solid (TDS), pH, and electrical conductivity (EC). In addition, eutrophication is a fundamental index that has been affecting the ecological evaluation of water quality. The results showed that trophic level index (TLI), trophic state index (TSI), and eutrophication index (EI) were evaluated to quantify the risk of eutrophication. However, TLI and TSI can better describe the purification effect of the wetland. These indices showed that the lake water was hyper-eutrophic in summer, with TLI, TSI, and EI values of 60.1, 63.0, and 66.6, respectively. Disparities in water quality were observed among whole areas of the lake. Overall, this study revealed that controlling agriculture drainage is crucial for lake water quality management. The study generated critical data for making water quality management plans to control the risk.

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Section: Statistical Analysis Resultsmentioning

confidence: 94%

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

Liu

Zhang

Sun

et al. 2019

Water

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“…East Dongting Lake, which is connected to the Yangtze River, is the largest lake in the Donging Lake system [17]. It covers the region from approximately 28 • 59" to 29 • 38" and 112 • 43" to 113 • 15" [18], and drains an area of 1900 km 2 , including a water area of 364 km 2 [19]. The location of East Dongting Lake is shown in Figure 1.…”

Section: Study Areamentioning

confidence: 99%

RFim: A Real-Time Inundation Extent Model for Large Floodplains Based on Remote Sensing Big Data and Water Level Observations

et al. 2019

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The real-time flood inundation extent plays an important role in flood disaster preparation and reduction. To date, many approaches have been developed for determining the flood extent, such as hydrodynamic models, digital elevation model-based (DEM-based) methods, and remote sensing methods. However, hydrodynamic methods are time consuming when applied to large floodplains, high-resolution DEMs are not always available, and remote sensing imagery cannot be used alone to predict inundation. In this article, a new model for the highly accurate and rapid simulation of floodplains, called “RFim” (real-time inundation model), is proposed to simulate the real-time flooded area. The model combines remote sensing images with in situ data to find the relationship between the inundation extent and water level. The new approach takes advantage of remote sensing images, which have wide spatial coverage and high resolution, and in situ observations, which have continuous temporal coverage and are easily accessible. This approach has been applied in the study area of East Dongting Lake, representing a large floodplain, for inundation simulation at a 30 m resolution. Compared with the submerged extent from observations, the accuracy of the simulation could be more than 90% (the lowest is 93%, and the highest is 96%). Hence, the approach proposed in this study is reliable for predicting the flood extent. Moreover, an inundation simulation for all of 2013 was performed with daily water level observation data. With an increasing number of Earth observation satellites operating in space and high-resolution mappers deployed on satellites, it will be much easier to acquire large quantities of images with very high resolutions. Therefore, the use of RFim to perform inundation simulations with high accuracy and high spatial resolutions in the future is promising because the simulation model is built on remote sensing imagery and gauging station data.

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“…One of the most potent of these micropollutants is the synthetic 17-alpha-ethinylestradiol (EE2) that is used in oral contraceptives and hormone replacement therapies, and that is more stable and persistent than the natural estrogen it mimics [1]. EE2 concentrations of 1ng/L and higher have been found in river or lake surface waters [2] in lake sediments [3], and even in groundwater [4].…”

Section: Introductionmentioning

confidence: 99%

Sex-specific changes in gene expression and delayed sex differentiation in response to estrogen pollution in grayling (Salmonidae)

Selmoni

Maitre

Roux

et al. 2017

Preprint

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26The synthetic 17α-ethinylestradiol (EE2) is an estrogenic compound of oral contraceptives 27 and therefore a common pollutant that has been suspected to affect the demography of river-28 dwelling salmonids. We study a population of European grayling (Thymallus thymallus) that 29 suffers from sex ratio distortions. Here we test how ecologically relevant concentrations of 30 EE2 affect sex-specific gene expression around early stages of sex differentiation. We 31 collected gametes from F1s of wild spawners, used them for in vitro fertilizations, and raised 32 the resulting embryos singly under experimentally controlled conditions. Embryos were either 33 exposed to 1ng/L EE2 or sham-exposed. RNA was collected from samples taken 10 days 34 before hatching, at the day of hatching, and towards the end of the yolk-sac stage, to study 35 gene expression and relate it to genetic sex (sdY genotype). We found that EE2 affects gene 36 expression of a very large number of genes especially at the day of hatching. The effects of 37 EE2 on gene expression is strongly sex-specific. At the day of hatching, EE2 affected about 38 twice as many genes in females than in males, and towards the end of the yolk-sac larval 39 stage, EE2 effects were nearly exclusively observed in females. Among the many effects was, 40 for example, a surprising EE2-induced molecular masculinization in the females' heads. 41Histological examination of gonadal development of EE2-treated or sham-exposed juveniles 42 during the first 4.5 months after hatching revealed a delaying effect of EE2 on sex 43 differentiation. Because grayling sex determination goes through an all-male stage (a rare 44 case of undifferentiated gonochorism), the rate of EE2-induced sex reversal could not be 45 unequivocally determined during the observational period. However, two EE2-treated genetic 46 males had ovarian tissues at the end of the study. We conclude that common levels of EE2 47 pollution affect grayling from very early stages on by interfering with male and female gene 48 expression around the onset of sex differentiation, by delaying sex differentiation, and by 49 feminizing some males. 50 51All rights reserved. No reuse allowed without permission.was not peer-reviewed) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.

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Occurrence and distribution of endocrine-disrupting compounds in the Honghu Lake and East Dongting Lake along the Central Yangtze River, China

Cited by 40 publications

References 34 publications

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China

RFim: A Real-Time Inundation Extent Model for Large Floodplains Based on Remote Sensing Big Data and Water Level Observations

Sex-specific changes in gene expression and delayed sex differentiation in response to estrogen pollution in grayling (Salmonidae)

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