scholarly journals Hydrochemical characteristics and groundwater quality appraisal for irrigation uses in Lan-gan region, Northern Anhui Province, East China

2021 ◽  
Author(s):  
Jie Ma ◽  
Song Chen ◽  
Diandian Ding ◽  
Jingyu Zhao
Keyword(s):  
Anhui Province ◽  
East China ◽  
Hydrochemical Characteristics ◽  
Multivariate Statistical ◽  
Ionic Ratio ◽  
Groundwater Aquifer ◽  
Wilcox Diagram ◽  
Type Water ◽  
Ussl Diagram ◽  
The Individual

Abstract Lan-gan region, one of traditional agricultural production base in northern Anhui Province, East China, has rare hydrochemical reports on the formation mechanism and irrigation assessment of the Quaternary deeper confined groundwater aquifer. To better master hydrochemical characteristics, solute source, and irrigation properties, twenty-five water samples were collected from the individual digging well. Gibbs diagram, Piper diagram, ionic ratio, and multivariate statistical analysis were carried out to delineate the hydrochemical facies and water-rock interactions. Meanwhile, the USSL and Wilcox diagram, and the irrigation water quality indices were conducted to illustrate the suitability for irrigation. The results indicate that the order is Ca2+ > Na+ > Mg2+ >K+ and HCO3− > SO42− > Cl− for cations and anions, respectively. Ca-HCO3 is the main hydrochemical type. Water-rock interactions include silicate weathering, carbonate dissolution, halite dissolution and sulfate dissolution. Based on EC value, the majority of the samples are permissible for irrigation, whereas only 12% of the samples were found good for irrigation. The RSC, SAR, and %Na, combined with Wilcox diagram and USSL diagram, demonstrate that the groundwater samples are permissible for irrigation purpose.

scholarly journals The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang
Keyword(s):  
Groundwater Quality ◽  
Human Activities ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydrochemical Characteristics ◽  
Analytic Hierarchy ◽  
Liaohe River ◽  
Geological Conditions ◽  
Type Water

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.

scholarly journals Emergence of a young case infected with avian influenza A (H5N6) in Anhui Province, East China during the COVID‐19 pandemic

2021 ◽  
Author(s):  
Jun‐Ling Yu ◽  
Sai Hou ◽  
Ya‐Ting Feng ◽  
Ge Bu ◽  
Qing‐Qing Chen ◽  
...  
Keyword(s):  
Avian Influenza ◽  
Influenza A ◽  
Anhui Province ◽  
East China

scholarly journals Using Multivariate Statistical Methods to Analyze High-Quality Bicycle Path Service Systems: A Case Study of Popular Bicycle Paths in Taiwan

2020 ◽  
Vol 12 (17) ◽  
pp. 7185
Author(s):  
Shinn-Jou Lin ◽  
Guey-Shin Shyu ◽  
Wei-Ta Fang ◽  
Bai-You Cheng
Keyword(s):  
Explanatory Power ◽  
Value Added ◽  
Service Systems ◽  
Image Management ◽  
High Quality ◽  
Multivariate Statistical ◽  
The Individual ◽  
Quantitative Indicators

Taiwan has promoted bicycle tourism for nearly 20 years, and the bicycle paths it has constructed throughout the island are diverse in design. In the present study, an evaluation scale for bicycle path sightseeing potential was devised with a focus on the overall service quality of the paths; 30 popular bicycle paths were analyzed using a field survey, with expert consultation on quantitative indicators, and a qualitative analysis entailing interviews with people regarding the bicycle paths. A multivariate statistical analysis was performed on the quality of the service systems for these paths. The results revealed that the quality of these service systems is influenced by four principal components, namely, landscape attractiveness, image management, bicycle-specific paths, and accessibility, for a total explanatory power of 76.21%; the individual explanatory power of these components was 25.89%, 21.49%, 16.81%, and 12.03%, respectively. Bicycle path conditions, service maintenance, and cleanliness and bicycle specificity are required for future high-quality bicycle paths; diverse bicycle rental services and bicycle types, entrance visibility, and ecological introduction boards along paths are value-added factors to bicycle path quality.

Alternative Approaches to Analyzing SWAT Data

1987 ◽  
Vol 31 (1) ◽  
pp. 63-66 ◽  
Author(s):  
David W. Biers ◽  
Philip J. Masline
Keyword(s):  
Rating Scale ◽  
Memory Task ◽  
Task Demands ◽  
Conjoint Measurement ◽  
Multivariate Statistical ◽  
Alternative Approaches ◽  
Highly Correlated ◽  
Using Data ◽  
Individual Scale ◽  
The Individual

The present study sought to determine the sensitivity of three alternative approaches to deriving a workload composite measure based upon data gathered using the Subjective Workload Assessment Technique (SWAT) and to determine through the use of multivariate statistical procedures (MANOVA) if anything is to be gained by retaining the individual scale information of SWAT. The three rating scale dimensions of SWAT (time load, mental effort load, psychological stress load) were combined into a single workload composite using three techniques: conjoint measurement; a simple sum of the three scales weighted equally; an empirically determined weighted-linear combination of the three scales (from MANOVA). Using data gathered by having subjects perform a continuous memory task under twelve levels of task difficulty, it was found that the three composite measures were equally sensitive and highly correlated (the minimum correlation among the three composites being 0.9913). The results of the MANOVA performed on the same data indicated that the individual scales of SWAT were differentially sensitive to different task demands and that individual scale information should be retained rather than rely on a simple composite.

Investigation of groundwater hydrochemical characteristics using the multivariate statistical analysis in Ain Djacer area, Eastern Algeria

2016 ◽  
Vol 57 (56) ◽  
pp. 26993-27002 ◽  
Author(s):  
Dalila Ziani ◽  
Abderrahmane Boudoukha ◽  
Abderrahmane Boumazbeur ◽  
Lahcen Benaabidate ◽  
Chemseddine Fehdi
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Hydrochemical Characteristics ◽  
Multivariate Statistical ◽  
Eastern Algeria

Source Discrimination of Heavy Metals in the Inland River Sediment in Suzhou City, Anhui Province: Multivariate Statistical Approaches

2011 ◽  
Vol 347-353 ◽  
pp. 4019-4024
Author(s):  
Zhi Chun Li ◽  
He Rong Gui ◽  
Lin Hua Sun ◽  
Jing Liang Mei
Keyword(s):  
Heavy Metals ◽  
Anhui Province ◽  
Pollutant Emissions ◽  
Final Conclusion ◽  
Multivariate Statistical ◽  
Source Discrimination ◽  
Inland River ◽  
Suzhou City ◽  
Statistical Approaches ◽  
Industry Area

Heavy metal concentrations of the sediment from an inland river in Suzhou city, northern Anhui Province were determined, and the index of Geo-accumulation (Igeo) was calculated for evaluating the extent of heavy metals contamination. The results showed that the contents of Cr, Cu, Zn, As, and Pb are higher than those of the background values, and the Igeo data indicates that these metals can be subdivided into three kinds, un-pollution (Cr and As), slight pollution (Pb) and moderate pollution (Cu and Zn). Multivariate statistical approaches were applied for source discrimination of heavy metals. The multivariate statistical approaches drew the final conclusion: (1) Cluster I consisted with Cu and Pb is greatly impacted by the traffic emissions, corresponding to the PC1; (2) the high accumulation of Zn and As in Cluster II mainly derived from the pollutant emissions in industry area, representing the PC2; (3) Cluster III (only Cr) is considered to be controlled by the parent materials of soils and shows the character of PC3; (4)The high contamination of Cluster I and II are related to the human activities, the government should pay attention to the environment in the area.

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