The Potential Impacts of Climate Change Factors on Freshwater Eutrophication: Implications for Research and Countermeasures of Water Management in China

Xia, Rui; Zhang, Yuan; Critto, Andrea; Wu, Jieyun; Fan, Jun; Zheng, Zhong; Zhang, Yizhang

doi:10.3390/su8030229

Cited by 70 publications

(34 citation statements)

References 55 publications

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“…Temperature positively correlates with chl-a, which is consistent with the growth of algae in the summer, when the temperature is higher [17,45,51]. It is speculated that at different temperatures, the environmental physicochemical parameters that affect chl-a concentrations in the reservoir are different.…”

Section: Discussionsupporting

confidence: 54%

Identification and Quantification of Physicochemical Parameters Influencing Chlorophyll-a Concentrations through Combined Principal Component Analysis and Factor Analysis: A Case Study of the Yuqiao Reservoir in China

et al. 2018

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Algal outbreaks caused by excessive nutrients in lakes result in eutrophication.Chlorophyll-a, as a primary productivity feature, is used as a representative index of algal presence in lakes. Physicochemical parameters are known to affect the type and amount of nutrients in lakes, which are related to eutrophication. In this study, factor analysis was used in conjunction with principal component analysis to reveal the relationship between chlorophyll-a and its associated parameters. The combination of these two methods helps to identify the main influencing parameters by quantifying the respective extent of parameters using FA, after which the meaning is explained by PCA. We investigate physicochemical parameters, including temperature, dissolved oxygen (DO), pH, suspended solids, chemical oxygen demand (COD) and five-day biochemical oxygen demand, as well as nutrients, such as ammonium, nitrite, nitrate, total nitrogen, and total phosphorus (TP). Yuqiao Reservoir, an important drinking water source in northern China, has been affected by eutrophication for years. Analysis was performed using daily monitoring data of physicochemical parameters and chlorophyll-a concentrations collected from Yuqiao Reservoir between 2003 and 2014. Results show that main parameters affecting chl-a concentrations are TP, temperature, DO, COD, and nitrogen, with correlation coefficients of 0.977, 1.983, 1.797, and 1.595, respectively.

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Section: Discussionsupporting

confidence: 54%

Identification and Quantification of Physicochemical Parameters Influencing Chlorophyll-a Concentrations through Combined Principal Component Analysis and Factor Analysis: A Case Study of the Yuqiao Reservoir in China

et al. 2018

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“…It is crucial to identify the necessary adaptive actions to be taken in order to avoid the unwanted consequences of climate change [55], and decision-support tools are needed to assist decision-making under uncertainty [56]. The crop pattern may have to switch to drought-resistant plant production.…”

Section: Discussionmentioning

confidence: 99%

Farmers’ Risk Perception towards Climate Change: A Case of the GAP-Şanlıurfa Region, Turkey

Aydoğdu

Yenigün

2016

Sustainability

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Abstract:The purpose of this research is to evaluate farmers' risk perception towards climate change in dry farming areas of theŞanlıurfa province in Southeastern Anatolia Project (GAP) Region, Turkey, and their willingness to pay for adaptation practices and explore the potential factors that contribute to the understanding of climate change. The main material of this research comes from a sample of 466 farmers among 32,809 inŞanlıurfa who were chosen via a simple random sampling method. Sampling was conducted in 2014 and participants were interviewed face to face by questionnaires and local interviewers were used in order to maximize the reliability of the results. The logistic regression and fit tests were used for analysis. The results indicate that 53% of farmers have a risk perception about climate change and 62% of farmers accept paying for adaptation practices to reduce its potential effects. Explanatory affecting factors, such as age, agricultural income, amount of land owned, farming experience, agricultural credit usage, household numbers, non-agricultural manpower, education level and water perception, significantly explained the risk perceptions. This study is one of the first of its type in GAP-Şanlıurfa, Turkey. Therefore, the results could be helpful for decision-and policy-makers to develop adaptive strategies.

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“…Thus, a periodic stripe noise removal filter was not applied; however, we maintain a high degree of confidence in this kind of analysis. External factors may also play an import role in water eutrophication and in its spatial distribution, such as weather conditions, i.e., temperature, humidity, wind speed, and direction [46]. According to the empirical model described above, the highest concentration of chl-a reached 257 μg/L.…”

Section: Mph and Chl-a Concentrationmentioning

confidence: 99%

Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data

Peppa

Vasilakos

Kavroudakis

2020

IJGI

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The use of remote sensing to monitor inland waters and their current state is of high importance, as fresh waters are the habitat of many species of flora and fauna, and are also important for anthropogenic activities. Water quality can be monitored by many parameters, including dissolved suspended matter, phytoplankton, turbidity, and dissolved organic matter, while the concentration of chlorophyll-a (chl-a) is a representative indicator for detecting phytoplankton and monitoring water quality. The detection of phytoplankton in water layers, through chl-a indicators, is an effective method for displaying eutrophication. Numerous scientific publications and studies have shown that remote sensing data and techniques are capable of monitoring the temporal and spatial distribution and variation of this phenomenon. This study aimed to investigate the eutrophication in Pamvotis Lake, in Ioannina, Greece with the application of chl-a detection algorithms, by using Sentinel-2 satellite imagery data for the time period of 2016–2018. The maximum chlorophyll index (MCI) and maximum peak-height (MPH) algorithms have been applied to top of atmosphere (TOA) reflectance data, to detect chl-a and monitor the trophic range of the water body. Both algorithms were correlated and resulted in Pearson’s r values up to 0.95. Finally, the chl-a concentration was estimated by applying an empirical equation that correlates the MPH and chl-a concentration developed within previous studies. Those results were further analyzed and interpreted with spatial statistical methods, to understand the spatial distribution pattern of the eutrophication in our study area. Our results demonstrated that Pamvotis Lake is a eutrophic lake, and the highest chl-a concentration was located in the east and south-east of the lake during the study period. Sentinel-2 data can be a useful tool for lake managers, in order to estimate the spatial distribution of the chl-a concentration and identify areas prone to eutrophication, as well as the coastal zones that may influence the lake through water canals.

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The Potential Impacts of Climate Change Factors on Freshwater Eutrophication: Implications for Research and Countermeasures of Water Management in China

Cited by 70 publications

References 55 publications

Identification and Quantification of Physicochemical Parameters Influencing Chlorophyll-a Concentrations through Combined Principal Component Analysis and Factor Analysis: A Case Study of the Yuqiao Reservoir in China

Identification and Quantification of Physicochemical Parameters Influencing Chlorophyll-a Concentrations through Combined Principal Component Analysis and Factor Analysis: A Case Study of the Yuqiao Reservoir in China

Farmers’ Risk Perception towards Climate Change: A Case of the GAP-Şanlıurfa Region, Turkey

Eutrophication Monitoring for Lake Pamvotis, Greece, Using Sentinel-2 Data

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