Study on the Impact of Population and Economic Activities on Environmental Indicators through Pca DOI Creative Commons
Junchao Zhang,

Junmeng Yan,

Xin Li

et al.

Transactions on Economics Business and Management Research, Journal Year: 2024, Volume and Issue: 5, P. 228 - 237

Published: March 31, 2024

Principal Component Analysis (PCA) is applied in environmental policy planning to effectively identify and assess key factors affecting carbon peaking emissions reduction. By analysing multidimensional data covering GDP, population, average temperature, oil consumption price, CO2 emissions, PCA reveals complex correlations of challenges. Preliminary regression analyses expose relationships between variables, with a particular focus on anomalous for 2020, emphasising the importance precise analytical methods.The highlights significant impacts economic activity, population oil-related indicators by simplifying high-dimensional data, retaining information, extracting principal components highest variance.The KMO Bartlett test confirms applicability PCA, variance interpretation dendrograms guiding component selection ensure adequate retention information. This approach enabled identification indicators, construction weighted composite model quantitatively analyse yearly basis, strengthened understanding overall role activities environment. Overall, application its refining clarifying drivers energy consumption, development targeted policies, enriching toolkit demonstrating contribution statistical techniques governance.

Language: Английский

Recommending Surface Water Quality Monitoring for the Nature Reserve Using Multivariate Statistical Methods DOI Open Access

Hong Thi Kim Hong,

Nguyen Thanh Giao

Civil Engineering Journal, Journal Year: 2023, Volume and Issue: 9, P. 192 - 201

Published: Dec. 25, 2023

Lung Ngoc Hoang Nature Reserve has a crucial role in conserving and protecting the natural ecosystem biodiversity Mekong Delta, Vietnam, local communities also receive great benefits from aquatic resources this nature reserve. This study was conducted to assess water quality provide important information for monitoring program using multivariate statistical methods. Water samples were collected bimonthly fifteen locations belonging five functional zones of reserve (i.e., buffer zone, main canal, administrative service ecological restoration strictly protected zone). The physiochemical properties measured, including temperature, pH, electrical conductivity (EC), total suspended solids (TSS), dissolved oxygen (DO), biochemical demand (BOD), chemical (COD), nitrogen (TN), phosphorus (TP), sulfate (SO42-), iron (Fe2+), aluminum (Al3+). results showed that levels TSS, COD, Fe2+ exceeded Vietnamese standard on surface quality, DO level far below standard. Besides, concentrations TN, TP, Al3+ area risk eutrophication negative effects organisms. Problems observed canal more than other zones. Cluster analysis (CA) suggested reduction number frequencies four months January, April, July, September) twelve locations, respectively. allows decrease effort cost with adequate evaluate quality. Moreover, principal component (PCA) identified components, which could explain 80.98% variance initial dataset. Potential pollution sources recognized based PCA, sulfate-acid soils, livestock, fertilizer, domestic activities. findings can enhance our understanding effectiveness future programs. Doi: 10.28991/CEJ-SP2023-09-015 Full Text: PDF

Language: Английский

Citations

12

Applying Harmony Degree Equation and TOPSIS Combined with Entropy Weights in Surface Water Classification DOI Open Access

Kieu Diem Le,

Nguyen Thanh Giao

Civil Engineering Journal, Journal Year: 2024, Volume and Issue: 10(4), P. 1196 - 1209

Published: April 1, 2024

This study classified surface water quality in Can Tho city using the Eutrophication index, Harmony Degree Equation (HDE), and Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). Water data were collected two seasons at 38 locations with 18 parameters, including temperature, pH, dissolved oxygen (DO), biochemical demand (BOD), chemical (COD), total suspended solids (TSS), nitrite (N-NO2-), nitrate (N-NO3-), ammonium (N-NH4+), orthophosphate (P-PO43-), Fe, F-, Pb, As, Hg, coliform, chlorine-, phosphorus-based pesticides. parameters are compared national technical regulations on (QCVN 08-MT:2015/BTNMT). The HDE method based entropy weight has been applied evaluate comprehensive harmony degree for various purposes. In addition, TOPSIS was also used rank each location determine priority level that required mitigation treatment solutions. Surface area had low content contaminated TSS coliform both seasons. rainy season tends decrease dry season. Based results, assessed as suitable domestic activities (needs treatment), irrigation, navigation (HDII = 0.922), while irrigation (HDIII= 1.00). Moreover, a state potential eutrophication (EI > 0), which higher during SW25 SW28 most seriously eutrophic seasons, respectively. analysis indicated SW22 need measures seasons; furthermore, SW2-SW4 (dry season) SW23 (rainy appropriate management impact SW4 affected significant seasonal impacts, have high lowest Therefore, future studies needed identify specific sources variation these reduce impacts. results provide helpful information decision-making process management. Doi: 10.28991/CEJ-2024-010-04-012 Full Text: PDF

Language: Английский

Citations

4

Fine Estimation of Water Quality in the Yangtze River Basin Based on a Geographically Weighted Random Forest Regression Model DOI Creative Commons

Fuliang Deng,

Wenhui Liu,

Mei Sun

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(4), P. 731 - 731

Published: Feb. 19, 2025

Water quality evaluation usually relies on limited state-controlled monitoring data, making it challenging to fully capture variations across an entire basin over time and space. The fine estimation of water in a spatial context presents promising solution this issue; however, traditional analyses often ignore non-stationarity between variables. To solve the above-mentioned problems mapping research, we took Yangtze River as our study subject attempted use geographically weighted random forest regression (GWRFR) model couple massive station observation data auxiliary carry out quality. Specifically, first utilized sections’ input for GWRFR train map six indicators at 30 m resolution. We then assessed various geographical environmental factors contributing identified differences. Our results show accurate predictions all indicators: ammonia nitrogen (NH3-N) had lowest accuracy (R2 = 0.61, RMSE 0.13), total (TN) highest 0.74, 0.48). reveal primary pollutant basin. Chemical oxygen demand permanganate index were mainly influenced by natural factors, while phosphorus impacted human activities. distribution critical influencing shows significant clustering. Overall, demonstrates provides insights into that are crucial comprehensive management environments.

Language: Английский

Citations

0

Identification of water pollution sources in the Daluxi River using kernel principal component analysis and gradient boosting decision tree DOI
Ying Liu,

Nairui Zheng,

Shuhan Yang

et al.

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(9)

Published: April 22, 2025

Language: Английский

Citations

0

Green route to fabrication of Semal-ZnO nanoparticles for efficient solar-driven catalysis of noxious dyes in diverse aquatic environments DOI Creative Commons

Ratan Lal,

Tripti Gour,

N. Dave

et al.

Frontiers in Chemistry, Journal Year: 2024, Volume and Issue: 12

Published: May 16, 2024

This work successfully demonstrates a sustainable and environmentally friendly approach for synthesizing Semal-ZnO nanoparticles (NPs) using the aqueous leaf extract of Bombax ceiba L. These NPs exhibit an absorption peak at approximately 390 nm in UV-visible spectrum energy gap (E g ) 3.11 eV. Detailed analyses morphology particle size various spectroscopic microscopic techniques, XRD, FE-SEM with EDS, HR-TEM reveal crystallographic peaks attributable to hexagonal phase, average crystal 17 nm. The also notable photocatalytic efficiency degrading methylene blue (MB) methyl orange (MO) under sunlight different water samples collected from diverse natural sources, indicating that they are promising photocatalysts environmental remediation. biofabricated is impressive, exhibiting photodegradation rate up 99% MB 79% MO exposure sunlight. novel phytofabricated thus beacon hope environment, their desirable efficiency, pseudo-first-order kinetics, ability break down noxious dye pollutants aquatic environments.

Language: Английский

Citations

3

Water Quality Index and Health Risks in a Peruvian High Andean River DOI Creative Commons
Víctor Guillermo Sánchez Araujo, Marcelo Portuguez-Maurtua, Pedro Antonio Palomino Pastrana

et al.

Ecological Engineering & Environmental Technology, Journal Year: 2024, Volume and Issue: 25(6), P. 301 - 315

Published: April 26, 2024

Water quality in rivers is affected as it passes through urban areas; this situation can be improved with good management of water resources.High Andean require further studies to indicate their status.In addition, important estimate the health risks associated exposure contaminants river water.Therefore, proposed assess index (WQI) using National Sanitation Foundation (NSF) model and section Ichu River Peru.Six monitoring points were selected that includes urbanized part city Huancavelica.The sample was taken during months February April 2021.Critical parameters analyzed by multivariate statistical analysis principal components cluster test.In Pearson's correlation test performed, status evaluated WQI-NSF model.The "bad" quality, unfit for human consumption, confirming impact population on quality.The could useful high watercourses suffering from anthropogenic deterioration illegal effluent discharges poor sanitation.There a risk due fecal coliform contamination sewage into river.In total hazard indicated are causing negative effects adult males at low level (risk 2), females moderate 3), children negligible 1).With help study, an appropriate plan put place restore ecological integrity River.

Language: Английский

Citations

2

Innovative lake pollution profiling: unveiling pollutant sources through advanced multivariate clustering techniques DOI
Minakshi Mishra,

Anupam Singhal,

Srinivas Rallapalli

et al.

Environmental Management, Journal Year: 2024, Volume and Issue: 74(4), P. 818 - 834

Published: July 29, 2024

Language: Английский

Citations

2

Enhanced Assessment of Water Quality and Pollutant Source Apportionment Using APCS-MLR and PMF Models in the Upper Reaches of the Tarim River DOI Open Access
Shengnan Zhang, Shan Wang, Fayong Li

et al.

Water, Journal Year: 2024, Volume and Issue: 16(21), P. 3061 - 3061

Published: Oct. 25, 2024

To evaluate the pollution sources and dynamics of upper reaches Tarim River, 10 typical sampling points were selected, 23 water quality parameters from 2020 to 2022 analyzed using one-way analysis variance, comprehensive Water Quality Identification Index (WQI), Principal Component Analysis (PCA). The status, sources, contribution rates investigated Absolute Component-Multiple Linear Regression Model (APCS-MLR) Positive Matrix Factorization (PMF). results indicated that dissolved oxygen (DO), chemical demand (CODMn), biochemical after 5 days (BOD5), total nitrogen (TN), phosphorus (TP), fluoride ions (F−), ammonia-nitrogen (NH3-N) in River exceed standards, with noticeable spatial variations observed for each parameter. evaluation grades primarily indicate “moderate” “good” levels, DO, TN, NH3-N, electrical conductivity (EC) being key influencing quality. source APCS-MLR PMF yielded similar outcomes, identifying six potential sources. Among these, soil weathering, livestock poultry breeding, agricultural activities exhibited higher rates. Specifically, these according 44.11%, 19.63%, 11.67%, respectively; while they are 24.08%, 17.88%, 27.54%, respectively. Furthermore, industrial contributed at a rate 6.01% APCS-MLR, urban living 2.13%. However, based on analysis, increased significantly 16.71%. Additionally, identified natural as contributing 16.45%, whereas suggested combination lower only 9.52%. In conclusion, within is predominantly satisfactory. Nonetheless, localized pollution, attributable human activities, presents substantial challenge. These observations provide critical insights into improving protecting fragile River.

Language: Английский

Citations

2

Statistical analysis of water quality change by total maximum daily load policy stage DOI Creative Commons
Chang Dae Jo,

Seon Yeon Choi,

Heon Gak Kwon

et al.

Applied Water Science, Journal Year: 2024, Volume and Issue: 14(8)

Published: July 17, 2024

Abstract This study aimed to derive major pollutants for standard watersheds with relatively high pollution levels and identify their trends. Hence, the water quality index (WQI) multivariate statistical techniques were used analyze evaluation of watershed during total maximum daily load (TMDL) policy period implemented since 2004. The WQI was calculated 41 watersheds, divided into 14 main streams 27 tributaries. Consequently, in stream, decreased as it moved downstream after MS5 site. In tributary, values found be low at TS11, TS15, TS16, TS17 sites. However, Mann–Kendall test results indicated that overall value increasing, suggesting basin improving TMDL phase progressed. Principal component analysis group among revealed temperature, dissolved oxygen, phosphorus, chemical oxygen demand, biochemical electrical conductivity variables stream cluster. tributary cluster, suspended solids, nitrogen, showed loading values. proposed a series methods provide basic data required management through detailed assessment methods, deriving pollutants, trend evaluation.

Language: Английский

Citations

1

Distrust Behavior in Social Network Large-Scale Group Decision Making and Its Application in Water Pollution Management DOI Open Access
Yanling Lu, Gaofeng Liu, Yejun Xu

et al.

Water, Journal Year: 2023, Volume and Issue: 15(9), P. 1638 - 1638

Published: April 22, 2023

Distrust behavior is a human that has significant impact on water pollution management, but it neglected in existing approaches. To solve this problem, we design large-scale group decision making social network (LSGDM-SN) approach based distrust and apply to management. The purpose of paper develop an LSGDM-SN method assist managers choose the optimal management plan. In presented method, fuzzy preference relations (FPRs) are used express experts’ assessment alternatives. utilize proposed novel agglomerative hierarchical clustering (AHC) by combing similarity relationships. Afterward, consensus feedback analysis (SNA) developed encourage subset modify its FPR. A mechanism for identification introduced. Based situations behaviors, two pieces advice provided adjust Subsequently, score function FPR obtain best solution Finally, some comparative analyses discussions demonstrate effectiveness feasibility method.

Language: Английский

Citations

3