Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient

Zuo, Shixiang; Dai, Shaoqing; Li, Yaying; Tang, Jianfeng; Ren, Yin

doi:10.3390/ijerph15102175

Cited by 33 publications

(22 citation statements)

References 52 publications

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“…GeoDetector is a statistical method to detect the temporal-spatial heterogeneity. This tool has been widely used in many areas, such as heavy metal differentiation, land use, and disease risk factor detection 40–42 . The assumption is that, if a potential factor leads to a disease, this factor would show a temporal-spatial distribution similar to the disease.…”

Section: Methodsmentioning

confidence: 99%

A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China

Liang

Song

et al. 2019

Sci Rep

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Hand-foot-mouth disease (HFMD) is a common infectious disease in children and is particularly severe in Guangxi, China. Meteorological conditions are known to play a pivotal role in the HFMD. Previous studies have reported numerous models to predict the incidence of HFMD. In this study, we proposed a new method for the HFMD prediction using GeoDetector and a Long Short-Term Memory neural network (LSTM). The daily meteorological factors and HFMD records in Guangxi during 2014–2015 were adopted. First, potential risk factors for the occurrence of HFMD were identified based on the GeoDetector. Then, region-specific prediction models were developed in 14 administrative regions of Guangxi, China using an optimized three-layer LSTM model. Prediction results (the R-square ranges from 0.39 to 0.71) showed that the model proposed in this study had a good performance in HFMD predictions. This model could provide support for the prevention and control of HFMD. Moreover, this model could also be extended to the time series prediction of other infectious diseases.

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Section: Methodsmentioning

confidence: 99%

A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China

Liang

Song

et al. 2019

Sci Rep

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“…The interaction detector in the geographical detector method can be used to examine whether two (or more) factors ( X 1 , X 2 ) have an interactive influence on a response variable through comparison of q values (Zuo et al 2018 ; Luo et al 2019 ). A description of the interactive relationships between two factors is tabulated in Table 2 .…”

Section: Methodsmentioning

confidence: 99%

Characterizing the heterogeneous correlations between the landscape patterns and seasonal variations of total nitrogen and total phosphorus in a peri-urban watershed

Zhang

Hao

et al. 2020

Environ Sci Pollut Res

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Landscape patterns in a watershed potentially have significant influence on the occurrence, migration, and transformation of pollutants, such as nitrogen (N) and phosphorus (P) in rivers. Human activities can accelerate the pollution and complicate the problem especially in a peri-urban watershed with different types of land use. To characterize the heterogeneous correlations between landscape patterns and seasonal variations of N and P in a peri-urban watershed located upstream of Tianjin metropolis, China, observations of total nitrogen (TN) and total phosphorus (TP) at 33 locations were performed in the wet and dry seasons from 2013 to 2016. The data from individual locations were averaged for the wet and dry seasons and analyzed with geographical detector to identify influential landscape indices on seasonal water quality variations. The geographically weighted regression method, capable of analyzing heterogeneous correlations, was used to evaluate the integrated effects from different landscape indices. The results demonstrated that the location-weighted landscape contrast index (LWLI), the ratio of urban areas, and the ratio of forest areas were major influential indicators that affected TN and TP in river water. These indices also had integrated effects on variations of TN and TP together with other indices such as Shannon diversity index, landscape shape index, largest patch index, and contagion index. The integrated effects were different in the wet and dry seasons because of different effects of flushing and dilution by rainwater and the heterogeneity in landscape patterns. The LWLI had a positive relationship to water quality in the areas with high ratio of urban areas, indicating that domestic wastewater can be a major source of N and P pollution. The approaches and findings of this study may provide a reference for characterizing the major factors and integrated effects that control nonpoint source pollution in a watershed.

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“…1 u, m, and d denote upstream, middle, and downstream of the sites, respectively. 2 1, 2, and 3 denote the three recycling procedures on 4, 11 and 18 November, respectively. 3 Shaded value indicates the number exceeds the threshold (Zn/Sr = 0.1161, Cu/Sr = 0.9871).…”

Section: Standardization Of Zn and Cu By Srmentioning

confidence: 99%

“…Many studies have confirmed that human factors and rapid urbanization can majorly affect soil pollution [1,2]. As the population densities and freshwater resources are unevenly distributed, farmers attempt to use wastewater from different human activities (i.e., industrial, commercial, and domestic activities) for crop irrigation [3].…”

Section: Introductionmentioning

confidence: 99%

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Application of Time-Lapse Ion Exchange Resin Sachets (TIERS) for Detecting Illegal Effluent Discharge in Mixed Industrial and Agricultural Areas, Taiwan

et al. 2019

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Many factories were built and scattered around the farmlands in Taiwan due to inappropriate land use planning. Illegal effluent discharge of high concentration of metals from the nearby factories has been threatening the farmlands, causing damages to agricultural production, food safety, and human health. Sampling was mostly responsible for monitoring the water quality of the agricultural environment; however, the analysis is of high cost and time consuming. Due to uneasy controlled environmental factors (i.e., illegal effluents) and time-consuming and expensive traditional analysis techniques (i.e., atomic absorption spectrometry (AAS), atomic fluorescence spectrometry (AFS), inductively coupled plasma atomic emission spectrometry (ICP-AES), inductively coupled plasma optical emission spectrometry (ICP-OES), and inductively coupled plasma mass spectrometry (ICP-MS)), we develop a fast-screening method, which is the combination of ion exchange resins and the portable X-ray fluorescence (XRF) spectroscopy to identify the source of contaminants in a mixed industrial and agricultural area in Taoyuan County, Taiwan. The time-lapse ion exchange resin sachet (TIERS) is a non-woven bag that is filled with resins and placed in the irrigation channels for continuously absorbing the metal and trace elements in water. The standardization ratios of Cu/Sr and Zn/Sr were calculated as the pollutant indicators for fast-screening the highly polluted sites of exceedance probability of 2.27% in the monitoring area. The TIERS is verified to detect the metal and trace element concentration in an efficient and sufficient way.

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Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient

Cited by 33 publications

References 52 publications

A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China

A method for hand-foot-mouth disease prediction using GeoDetector and LSTM model in Guangxi, China

Characterizing the heterogeneous correlations between the landscape patterns and seasonal variations of total nitrogen and total phosphorus in a peri-urban watershed

Application of Time-Lapse Ion Exchange Resin Sachets (TIERS) for Detecting Illegal Effluent Discharge in Mixed Industrial and Agricultural Areas, Taiwan

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