Characterization of controlling hydrogeochemical processes using factor analysis in Puyang Yellow River irrigation district (China)

2016 ◽  
Vol 48 (5) ◽  
pp. 1438-1454 ◽  
Author(s):  
Wenjia Wang ◽  
Xianfang Song ◽  
Ying Ma
Keyword(s):  
Factor Analysis ◽  
Yellow River ◽  
Groundwater Chemistry ◽  
Hydrogeochemical Processes ◽  
Irrigation District ◽  
Total Variance ◽  
Data Set ◽  
Rock Interaction ◽  
Process Factor ◽  
Interaction Factor

Groundwater chemistry is diverse and complicated and is regulated by both natural hydrogeochemical and anthropogenic processes. Determining the governing processes and their influence on groundwater chemistry is very important to understand groundwater quality evolution and establish reasonable water management strategies. Main cations (Ca2+, Mg2+, Na+, K+, and Sr2+), anions (Cl−, SO2−4, HCO−3, NO−3, and F−), and SiO2 and UV254 of 50 shallow groundwater samples were treated and analyzed. Factor analysis combined with ionic ratio and correlation analysis was used to identify the major hydrogeochemical processes responsible for the variation of hydrochemical components. Approximately 76% of the total variance of the data set can be explained by the four factors identified. Composing of Sr2+, Mg2+, Ca2+, and electrical conductivity (EC), Factor 1 accounted for 25.67% of the total variances, and represented groundwater formation background and fundamental water–soil/rock interaction. Factor 2 with high loadings on NO−3, U(Cl−, SO2−4, HCO−3, NO−3, and F−), and F−)254, and F−, was related to anthropogenic activities, especially the release of domestic sewage and industrial effluents. Factor 3 composed of Na+, HCO−3 and EC was interpreted as cation exchange process. Factor 4 explained 15.75% of the total variance, and was attributed to the influence of agricultural activities, especially chemical fertilizer application.

scholarly journals Geogenic Contamination: Hydrogeochemical processes and relationships in Shallow Aquifers of Ibadan, South-West Nigeria

2015 ◽  
Vol 9 (1) ◽  
pp. 5-20 ◽  
Author(s):  
Amobichukwu Chukwudi Amanambu
Keyword(s):  
Factor Analysis ◽  
Drinking Water ◽  
Water Samples ◽  
Positive Relationship ◽  
Pearson Correlation ◽  
Hydrogeochemical Processes ◽  
Shallow Aquifer ◽  
Shallow Aquifers ◽  
Data Set ◽  
Drinking Water Samples

Abstract The result of the spatial analysis as applied to the hydrogeochemical data set in the shallow aquifer of Ibadan provides an insight into the underlying factors controlling hydrogeochemical processes in the area. A total of thirty drinking water samples (six samples each from the five major lithologic formations of the study area) were collected from shallow aquifers during the rainy and dry season. Atomic Absorption Spectrophotometry (AAS) and the Beckan DU-7500 single beam spectrophotometer were used to determine concentrations of arsenic, iron and fluoride in drinking water samples and the concentrations of other chemical parameters that could affect the concentrations of the geogenic contaminants including Ca, Mg, Na and SO42− were also analysed. pH and TDS were also determined. The Pearson Correlation and Factor Analysis were used to examine the relationship between the geogenic contaminants and concentration of other hydrogeochemical parameters while isopleth maps were drawn to ascertain lines of equal geogenic concentration (Isogeogenic lines). Factor analysis reduced the dataset into three major components representing the different sources of the contaminant. Major contributors to factor 1 and 3 (Salinization and Sulphate factors respectively) are natural phenomena while factor 2 is partly geogenic. The Isogeogenic lines show places of equal geogenic concentration and also with 3D Elevation modelling showed a high peak of Arsenic and Fluoride in the Sango area. The correlation test showed that there is a positive relationship between As and SO42− 0.889 (P < 0.05) and also a positive relationship between As and Mg 0.43 (P < 0.05). The significant relationship between As and SO42−, shows a partly geogenic source resulting from the reduction of sulphate to sulphide for the mobilization of As. The positive relationship between Fluoride and pH 0.242 (P > 0.05) implies that the concentration of F within the rock formation depends on high pH value.

scholarly journals Geo-environmental analysis of the groundwater quality in the vicinity of textile industrial zone

2021 ◽  
Vol 2070 (1) ◽  
pp. 012188
Author(s):  
K Arumugam ◽  
T Karthika ◽  
M Kartic Kumar ◽  
R K. Sangeetha ◽  
T Anitha ◽  
...  
Keyword(s):  
Water Quality ◽  
Factor Analysis ◽  
Groundwater Quality ◽  
Anthropogenic Activities ◽  
Economic Behavior ◽  
Subsurface Water ◽  
Industrial Zone ◽  
Rock Interaction ◽  
Process Factor ◽  
Two Samples

Abstract The increase in inhabitants and development of advantageous economic behavior undoubtedly leads to escalating water demand for different uses. Improper planning, mismanagement, inappropriate standards and procedure for discharging the industrial effluents are prime causes for deterioration of groundwater quality in industrial zone. The study vicinity is exaggerated by subsurface water quality problem. To evaluate the water quality of aquifer, sixty two samples were collected, analyzed and the results of the data are evaluated according to the standards. Hydro-chemical facies, rock-water process, factor analysis, correlation matrix studies were carried out for assessing the associated hydro-chemical process operating in the progress of salinity concentration. The analysis reveals that water belongs to highly brackish type. In this study zone, groundwater is influenced by water-rock interaction and evaporation process. Factor analysis shows that the groundwater is greatly deteriorated by anthropogenic activities. Based on hyrochemical study, the subsurface water is not fit for domestic purposes.

scholarly journals SCIENTIFIC RESEARCH ACTIVITY IN COMPREHENSIVE SCHOOL OF LITHUANIA: TEACHERS’ POSITION

2010 ◽  
Vol 7 (2) ◽  
pp. 16-28 ◽  
Author(s):  
Vincentas Lamanauskas ◽  
Dalia Augienė
Keyword(s):  
Factor Analysis ◽  
Teaching And Learning ◽  
Scientific Research ◽  
Educational Environment ◽  
Comprehensive School ◽  
Total Variance ◽  
Research Activity ◽  
Data Set ◽  
Research Activities ◽  
Scientific Research Activity

The formation of scientific research activity (SRA) abilities in comprehensive school is undoubtedly, a very important sphere that has not received a proper attention yet. Current teaching and learning process has changed, in fact, from the point of view of paradigm – subjects taught are becoming a means of the realization of learners’ needs and interests. Scientific research activity is not an entertainment but responsible, thorough work requiring a lot of self-independence. During such an activity pupils’ analytical thinking gets stronger, information searching and using abilities are formed, they learn how to analyze gathered material, prepare reports, make research presentations and so on. The research was carried out between January and April, 2010. The method of the research was survey in written form (questionnaire). On the whole, 380 questionnaires were acknowledged acceptable. The article deals with Natural science and Mathematics teachers’ opinion about the situation of scientific research activity in comprehensive school. A factor analysis was performed in order to find out the structure of 41 items. The main aim of the factor analysis is to reduce the number of variables. Two methods were applied in order to evaluate whether the data set was appropriate for the factor analysis: Bartlett`s Test of Sphericity and Kaiser-Meyer-Olkin (KMO) test. Kaiser-Meyer-Olkin Measure of Sampling Adequacy test value is 0.844. Bartlett's Test of Sphericity tests the null hypothesis that the correlation matrix is an identity matrix. In this case approx. Chi-Square value is 3921.835 and p<0.000. These results clearly show that data can be used for factor analysis. The eight factors were extracted based on the Eigen Value Statistics (with the real value more than one). Also the significance (popularity) indexes (SI) and standards deviations (SD) for each factor were calculated. 1. Interest in scientific research activity (SI=0.67; SD=0.17). 2. Ignoring the scientific research activities (SI=0.59; SD=0.21). 3. Adverse (unfavourable) conditions of carrying out of scientific research activity (SI=0.43; SD=0.23). 4. Fragmentary of scientific research activity (SI=0.65; SD=0.20). 5. Adverse (unfavourable) material conditions of scientific research activity (SI=0.65; SD=0.20). 6. Lack qualification (competence) of teachers (SI=0.70; SD=0.25). 7. Employment (busyness) of learners and teachers (SI=0.68; SD=0.21). 8. Influence of the educational environment on scientific research activity (SI=0.76; SD=0.19). However, we need to emphasize, that significance indexes are relatively not high, though higher than 0.50. All these factors accounts for 47.00% of variance. There are 9 statements under the first factor, 6 statements under the 2nd factor, 5 statements under the 3rd factor, 4 statements under the 4th factor, 6 statements under the 5th factor, 3 statements under the 6th factor, 4 statements under the 7th factor and 3 statements under the 8th factor. The first factor forms 7.56% of total variance, the second factor constitutes 7.17% of total variance, the third factor forms 6.00% of total variance, the fourth factor forms 5.92% of total variance, the fifth factor constitutes 5.81% of total variance, the sixth factor forms 5.28% of total variance, the seventh forms 5.05% of total variance and the last one (eighth factor) constitutes 4.17% of total variance. It was found that in the teaching of scientific research activities the cooperation methods are used. It was found that in general the most favourable to SRA are biology and chemistry teachers, and the less favourable - teachers of geography. It was also found that highly significant factor in the development of scientific research activity is the educational environment. Key words: career, comprehensive school, factor analysis, scientific research activity, science education.

Towards a Validation of Multiple Features in the Assessment of Emotions

1998 ◽  
Vol 14 (3) ◽  
pp. 202-210 ◽  
Author(s):  
Suzanne Skiffington ◽  
Ephrem Fernandez ◽  
Ken McFarland
Keyword(s):  
Factor Analysis ◽  
Pilot Study ◽  
Cognitive Appraisal ◽  
Negative Emotions ◽  
The Self ◽  
Factor Analyses ◽  
Data Set ◽  
Multiple Features ◽  
Action Tendency ◽  
Intensity Range

This study extends previous attempts to assess emotion with single adjective descriptors, by examining semantic as well as cognitive, motivational, and intensity features of emotions. The focus was on seven negative emotions common to several emotion typologies: anger, fear, sadness, shame, pity, jealousy, and contempt. For each of these emotions, seven items were generated corresponding to cognitive appraisal about the self, cognitive appraisal about the environment, action tendency, action fantasy, synonym, antonym, and intensity range of the emotion, respectively. A pilot study established that 48 of the 49 items were linked predominantly to the specific emotions as predicted. The main data set comprising 700 subjects' ratings of relatedness between items and emotions was subjected to a series of factor analyses, which revealed that 44 of the 49 items loaded on the emotion constructs as predicted. A final factor analysis of these items uncovered seven factors accounting for 39% of the variance. These emergent factors corresponded to the hypothesized emotion constructs, with the exception of anger and fear, which were somewhat confounded. These findings lay the groundwork for the construction of an instrument to assess emotions multicomponentially.

scholarly journals High-Arsenic Groundwater in Paleochannels of the Lower Yellow River, China: Distribution and Genesis Mechanisms

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 338
Author(s):  
Chuanshun Zhi ◽  
Wengeng Cao ◽  
Zhen Wang ◽  
Zeyan Li
Keyword(s):  
Yellow River ◽  
The Yellow River ◽  
Rock Interaction ◽  
Lower Yellow River ◽  
The Lower Yellow River ◽  
Groundwater Samples ◽  
Groundwater Systems ◽  
Different Sources ◽  
High Arsenic ◽  
High Arsenic Groundwater

High–arsenic (As) groundwater poses a serious threat to human health. The upper and middle reaches of the Yellow River are well–known areas for the enrichment of high–arsenic groundwater. However, little is known about the distribution characteristics and formation mechanism of high-As groundwater in the lower reach of the Yellow River. There were 203 groundwater samples collected in different groundwater systems of the lower Yellow River for the exploration of its hydrogeochemical characteristics. Results showed that more than 20% of the samples have arsenic concentrations exceeding 10 μg/L. The high-As groundwater was mainly distributed in Late Pleistocene–Holocene aquifers, and the As concentrations in the paleochannels systems (C2 and C4) were significantly higher than that of the paleointerfluve system (C3) and modern Yellow River affected system (C5). The high-As groundwater is characterized by high Fe2+ and NH4+ and low Eh and NO3−, indicating that reductive dissolution of the As–bearing iron oxides is probably the main cause of As release. The arsenic concentrations strikingly showed an increasing tendency as the HCO3− proportion increases, suggesting that HCO3− competitive adsorption may facilitate As mobilization, too. In addition, a Gibbs diagram showed that the evaporation of groundwater could be another significant hydrogeochemical processes, except for the water–rock interaction in the study area. Different sources of aquifer medium and sedimentary structure may be the main reasons for the significant zonation of the As spatial distribution in the lower Yellow River.

scholarly journals A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China

2019 ◽  
Vol 23 (7) ◽  
pp. 3097-3115 ◽  
Author(s):  
Zhongyi Liu ◽  
Xingwang Wang ◽  
Zailin Huo ◽  
Tammo Siert Steenhuis
Keyword(s):  
Field Experiment ◽  
Irrigation Water ◽  
Yellow River ◽  
Shallow Groundwater ◽  
Groundwater Table ◽  
Irrigation District ◽  
Zone Model ◽  
Calibration And Validation ◽  
Irrigation Water Use ◽  
Hetao Irrigation District

Abstract. Rapid population growth is increasing pressure on the world water resources. Agriculture will require crops to be grown with less water. This is especially the case for the closed Yellow River basin, necessitating a better understanding of the fate of irrigation water in the soil. In this paper, we report on a field experiment and develop a physically based model for the shallow groundwater in the Hetao irrigation district in Inner Mongolia, in the arid middle reaches of the Yellow River. Unlike other approaches, this model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table and not by a limiting soil conductivity. The field experiment was carried out in 2016 and 2017. Daily moisture contents at five depths in the top 90 cm and groundwater table depths were measured in two fields with a corn crop. The data collected were used for model calibration and validation. The calibration and validation results show that the model-simulated soil moisture and groundwater depth fitted well. The model can be used in areas with shallow groundwater to optimize irrigation water use and minimize tailwater losses.

scholarly journals Development of a Measure: Reasons of Social Networking Sites Use

2016 ◽  
Vol 10 (7) ◽  
pp. 141
Author(s):  
Samira Ranaiey ◽  
Mohammad Reza Taghavi ◽  
Mohammad Ali Goodarzi
Keyword(s):  
Factor Analysis ◽  
Social Networking ◽  
Social Networking Sites ◽  
Internet Use ◽  
Two Dimensions ◽  
Total Variance ◽  
Problematic Internet Use ◽  
The Internet

<p class="zhengwen">Because of increased attention to PIU (Problematic Internet Use), some measure had been made, but they seem to be</p><p class="zhengwen">Inadequate, due to new issue of the internet interactions. Therefore the necessity and importance of</p><p class="zhengwen">Standard, valid and reliable tools to assess PIU and the related behaviors are clear.</p>This paper presents results of a study that develops a measure of Reasons of Using Social Networking Sites (S.N.S). The reasons were based on an article by Morahan – Martin and Schumacher. The reasons were arranged as a questionnaire. This questionnaire was completed by 156 volunteer students of Shiraz University. The results indicated that Reasons of S.N.S Use Scale is both reliable and valid. The result of factor analysis showed that two dimensions (Positive and Negative reasons of S.N.S use) explains total variance acceptably.

Factor Analysis of Students’ Exposure to Social Media for Food and Beverage

2021 ◽  
Vol 8 (2) ◽  
pp. 113-118
Author(s):  
Noora Shrestha
Keyword(s):  
Social Media ◽  
Factor Analysis ◽  
Data Set ◽  
Factors Associated ◽  
Rotation Method ◽  
The Social ◽  
Food And Beverage ◽  
Social Media Platforms ◽  
Strongly Agree ◽  
Self Administered Questionnaire

Food and beverage marketing on social media is a powerful factor to influence students’ exposure to social media and application for food and beverage. It is a well-known fact that most of the food and beverage business target young people on the social media. The objective of the study is to identify the factors associated to the students’ exposure in the social media platforms for food and beverage. The young students between the ages 20 to 26 years completed a self-administered questionnaire survey on their media use for food and beverages. The questionnaire was prepared using Likert scale with five options from strongly agree to strongly disagree. The data set was described with descriptive statistics such as mean and standard deviation. The exploratory factor analysis with varimax rotation method was used to extract the factors. The most popular social media among the respondents were Facebook, Instagram, and You Tube. 73.3% of the students were exposed to food and beverage application in their mobile device and 76% of them followed the popular food and beverage pages in social media. The result revealed that social media posts, promotional offer, and hygienic concept have positively influenced majority of the students’ exposure to social media for food and beverage. Keywords: Factor analysis, Social Media, Food and Beverage, Student, Promotional Offer.

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