Water quality management of the Aras River in Iran using two modeling methods: canonical correlation analysis and principal component analysis

被引：0

作者：

Shabarang, Mohammad Mostafa ^{[1
]}

Fataei, Ebrahim ^{[1
]}

Imani, Ali Akbar ^{[2
]}

Bahmanpour, Hooman ^{[3
]}

Shabani, Mohammad ^{[4
]}

机构：

[1] Department of Environment, Ardabil Branch, Islamic Azad University, Ardabil

[2] Department of Agriculture, Ardabil Branch, Islamic Azad University, Ardabil

[3] Department of Environment, Shahrood Branch, Islamic Azad University, Shahrood

[4] Department of Water Engineering, Shiraz Branch, Islamic Azad University, Shiraz

来源：

Water Supply | 2024年 / 24卷 / 08期

关键词：

anthropogenic pollution; Aras River; canonical correlation analysis; principal component analysis; water quality management;

D O I：

10.2166/ws.2024.179

中图分类号：

学科分类号：

摘要：

This research aimed to determine the pollution resources and the main parameters affecting the Aras River water quality, as one of the important rivers of the Caspian Sea watershed, within the borders of Iran, and to present control solutions. Hence, canonical correlation analysis (CCA) and principal component analysis (PCA) were used to reduce data dimensions and determine the pollution criteria based on four physical and six chemical parameters premeasured at 19 stations between 2020 and 2022. The CCA results showed that pH and dissolved oxygen (as physical variables) and also mercury, nitrate, and sulfate (as chemical variables) had a significant role in predicting the canonical variables of chemical and physical parameters, respectively. These pollutants predominantly originated from anthropogenic pollution sources, including runoff infiltration from surrounding vast agricultural lands (based on the first principle component results accounted for 39.3% of the variations), and also the soil erosion in the watershed (based on the second principle component results accounted for 25.7% of the variations). To conclude, the Aras River water quality management programs should focus more on controlling anthropogenic pollution sources to monitor the status of effective physicochemical parameters using multivariate statistical methods, especially CCA and PCA methods. © 2024 The Authors.

引用

页码：2882 / 2895

页数：13

共 33 条

[21] Ravanbakhsh M., Tahmasebi Birgani Y., Dastoorpoor M., Ahmadi Angali K., Evaluation of temporal and spatial variations of water quality parameters in Zohreh River, Iran, Avicenna Journal of Environmental Health Engineering, 6, 2, pp. 75-82, (2019)
[22] Safizadeh E., Karimi D., Gahfarzadeh H. R., Pourhashemi S. A., Investigation of physicochemical properties of water in downstream areas of selected dams in Aras catchment and water quality assessment (Case study: Aras catchment in the border area of Iran and Armenia), Anthropogenic Pollution, 5, 1, pp. 41-48, (2021)
[23] Sajjadi N., Davoodi M., Jozi S., The quality assessment of Kan River’s resources in terms of agricultural and drinking purposes, Anthropogenic Pollution, 3, 1, pp. 46-53, (2019)
[24] Samadi M. T., Sadeghi S., Rahmani A., Saghi M. H., Survey of water quality in Moradbeik river basis on WQI index by GIS, Environmental Health Engineering and Management Journal, 2, 1, pp. 7-11, (2015)
[25] Sayadi M., Gharehmahmoodlu M., Investigation and prediction of quality parameters of Gamasyab River using multivariate method of canonical correlation analysis and time series, Iranian Journal of Research in Environmental Health, 5, 2, pp. 108-122, (2019)
[26] Solgi E., Sheikhzadeh H., Study of water quality of Aras River using physico-chemical variables, Iran-Water Resources Research, 12, 3, pp. 207-213, (2016)
[27] Soltani S., Ghohroudi Tali M., Sadoogh S., Evaluation of the surface water quality using statistical multi-variate techniques, case study: Aras watershed, Iran-Water Resources Research, 15, 2, pp. 319-328, (2019)
[28] Tabachnick B. L., Fidell S., Using Multivariate Statistics, (2000)
[29] Tokalioglu S., Kartal S., Multivariate analysis of the data and speciation of heavy metals in street dust samples from the Organized Industrial District in Kayseri (Turkey), Atmospheric Environment, 40, pp. 2797-2805, (2006)
[30] Uddin M. G., Moniruzzaman M., Khan M., Evaluation of groundwater quality using CCME water quality index in the Rooppur Nuclear Power Plant Area, Ishwardi, Pabna, Bangladesh, American Journal of Environmental Protection, 5, 2, pp. 33-43, (2017)

← 1 2 3 4 →