پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شمارهها | 353 |
| تعداد مقالات | 3,936 |
| تعداد مشاهده مقاله | 5,388,951 |
| تعداد دریافت فایل اصل مقاله | 3,608,651 |
Spatial and Temporal Assessment of Water Quality Changes in North, Northwest and Southwest Rivers of Iran, Involving Multivariate Statistical Techniques and GIS | ||
| Water Harvesting Research | ||
| دوره 5، شماره 1 - شماره پیاپی 7، 2022، صفحه 102-120 اصل مقاله (1.64 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22077/jwhr.2022.5705.1073 | ||
| نویسندگان | ||
| Parva Mohammadi1؛ Kumars Ebrahimi* 2؛ Ali Vanaei3؛ Javad Bazrafshan4 | ||
| 1Ph.D. Student of Water Resources Engineering, Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering, University of Tehran, Karaj, Iran. | ||
| 2Professor of Water Resources Modelling, Environmental Technologies Engineering Section, Department of Renewable Energies and Environment Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, IRAN. | ||
| 3Ph.D. Student of Water Resources Engineering, Department of Water Engineering, College of Agriculture, Bu-Ali Sina University, Hamedan, Iran. | ||
| 4Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran. | ||
| چکیده | ||
| Surface water, especially rivers, is one of the most important water resources that play an important role in supplying water for various activities. The purpose of this study was to investigate the temporal and spatial variability of water quality parameters in three different basins, in terms of land use, at 50 hydrometric stations in 9 rivers in the period 1992-2015 by using multivariate and GIS statistical methods. In this study, factor analysis based on 10 qualitative parameters was performed to determine the most important parameters affecting the surface water quality of the study area. The results of Principal component analysis showed that the North, Northwest and Southwest basins have two significant main components with 82.38%, 79.86% and 81.60% of the total variance, respectively. Cluster analysis of hydrometric stations located in northwestern and southwestern regions was divided into two clusters and north into three clusters. In the cluster analysis, some stations in Aji Chay, Atrak and Zayanderood rivers had different water quality characteristics than other stations. These stations are located downstream of the rivers. Based on the pattern of mean water quality parameters in GIS and land use map, station 2 had the lowest values for most parameters. | ||
| کلیدواژهها | ||
| GIS؛ PCA؛ Surface Water Quality؛ WARD | ||
| مراجع | ||
|
Aazami, J. (2017). Long-Term (1969-2013) Changes of Water Parameters in Neka and Tajan Rivers, Mazandaran, Iran. Journal of Human, Environment and Health Promotion, 2(2), 69-78. Al-Mutairi, N., Abahussain, A., & El-Battay, A. (2014). Spatial and temporal characterizations of water quality in Kuwait Bay. Marine Pollution Bulletin, 83(1), 127-131. Ashouri, M., Piry, Z., & Rezaei Moghaddam, M. H. (2015). A comparison of the influence of the Sattarkhan reservoir dam on the upstream and downstream of the Ahar Chai River, NW Iran. Environmental Earth Sciences, 73(8), 4099-4108. Atayi, M. A. (2017). Rainfall-Runoff modeling using artificial neural networks and HEC-HMS (Case study: Catchment of Gharasoo). International Journal of Engineering Research, 6(7), 353-356. Barakat, A., El Baghdadi, M., Rais, J., Aghezzaf, B., & Slassi, M. (2016). Assessment of spatial and seasonal water quality variation of Oum Er Rbia River (Morocco) using multivariate statistical techniques. International soil and water conservation research, 4(4), 284-292. Barzegar, R., Asghari Moghaddam, A., & Tziritis, E. (2016). Assessing the hydrogeochemistry and water quality of the Aji-Chay River, northwest of Iran. Environmental earth sciences, 75(23), 1-15. Basatnia, N., Hossein, S. A., Rodrigo-Comino, J., Khaledian, Y., Brevik, E. C., Aitkenhead-Peterson, J., & Natesan, U. (2018). Assessment of temporal and spatial water quality in international Gomishan Lagoon, Iran, using multivariate analysis. Environmental Monitoring and Assessment, 190(5), 1-17. Calazans, G. M., Pinto, C. C., da Costa, E. P., Perini, A. F., & Oliveira, S. C. (2018). Using multivariate techniques as a strategy to guide optimization projects for the surface water quality network monitoring in the Velhas river basin, Brazil. Environmental monitoring and assessment, 190(12), 1-15. Chow, M. F., Shiah, F. K., Lai, C. C., Kuo, H. Y., Wang, K. W., Lin, C. H., ... & Ko, C. Y. (2016). Evaluation of surface water quality using multivariate statistical techniques: a case study of Fei-Tsui Reservoir basin, Taiwan. Environmental Earth Sciences, 75(1), 1-15. Fan, X., Cui, B., Zhao, H., Zhang, Z., & Zhang, H. (2010). Assessment of river water quality in Pearl River Delta using multivariate statistical techniques. Procedia environmental sciences, 2, 1220-1234. Fataei, E., & Shiralipoor, S. (2011). Evaluation of surface water quality using cluster analysis: a case study. World Journal of Fish and Marine Sciences, 3(5), 366-370. Fooladvand, M., Ramavandi, B., Zandi, K., & Ardestani, M. (2011). Investigation of trihalomethanes formation potential in Karoon River water, Iran. Environmental monitoring and assessment, 178(1), 63-71. Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J. M., & Fernandez, L. (2000). Temporal evolution of groundwater composition in an alluvial aquifer (Pisuerga River, Spain) by principal component analysis. Water research, 34(3), 807-816. Khaledian, Y., Ebrahimi, S., Natesan, U., Basatnia, N., Nejad, B. B., Bagmohammadi, H., & Zeraatpisheh, M. (2018). Assessment of water quality using multivariate statistical analysis in the Gharaso River, Northern Iran. In Urban ecology, water quality and climate change (pp. 227-253). Springer, Cham. Luo, K., Hu, X., He, Q., Wu, Z., Cheng, H., Hu, Z., & Mazumder, A. (2017). Using multivariate techniques to assess the effects of urbanization on surface water quality: a case study in the Liangjiang New Area, China. Environmental monitoring and assessment, 189(4), 1-11. McKenna Jr, J. E. (2003). An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis. Environmental Modelling & Software, 18(3), 205-220. Mehri, A., Salmanmahiny, A., Tabrizi, A. R. M., Mirkarimi, S. H., & Sadoddin, A. (2018). Investigation of likely effects of land use planning on reduction of soil erosion rate in river basins: Case study of the Gharesoo River Basin. Catena, 167, 116-129. Monica, N., & Choi, K. (2016). Temporal and spatial analysis of water quality in Saemangeum watershed using multivariate statistical techniques. Paddy and Water Environment, 14(1), 3-17. Mostafaei, A. (2014). Application of multivariate statistical methods and water-quality index to evaluation of water quality in the Kashkan River. Environmental Management, 53(4), 865-881. Naddafi, K., Honari, H., & Ahmadi, M. (2007). Water quality trend analysis for the Karoon River in Iran. Environmental monitoring and assessment, 134(1), 305-312. NAJAF, P. S., Alkarkhi, A. F. M., Kadir, M. O. A., & Najafpour, G. D. (2008). Evaluation of spatial and temporal variation in river water quality. Nguyen, T. H., Helm, B., Hettiarachchi, H., Caucci, S., & Krebs, P. (2019). The selection of design methods for river water quality monitoring networks: a review. Environmental Earth Sciences, 78(3), 1-17. Nohani, E. (2015). Simulation And Estimation Of Effective Discharge Of Annual Flood (Case Study: Jarahi River, Khuzestan, Iran). International Journal of Technology Enhancements and Emerging Engineering Research, 3(03), 48-51. Noori, R., Karbassi, A., Khakpour, A., Shahbazbegian, M., Badam, H. M. K., & Vesali-Naseh, M. (2012). Chemometric analysis of surface water quality data: case study of the Gorganrud River Basin, Iran. Environmental Modeling & Assessment, 17(4), 411-420. Otto, M. (1998). Multivariate Methods: In: R. Kellner, JM Mermet, M. Otto and HM Widmer, Eds. Analytical Chemistry. Wiley-VCH, Weinheim, 916. Papatheodorou, G., Demopoulou, G., & Lambrakis, N. (2006). A long-term study of temporal hydrochemical data in a shallow lake using multivariate statistical techniques. Ecological Modelling, 193(3-4), 759-776. Phung, D., Huang, C., Rutherford, S., Dwirahmadi, F., Chu, C., Wang, X., ... & Dinh, T. A. D. (2015). Temporal and spatial assessment of river surface water quality using multivariate statistical techniques: a study in Can Tho City, a Mekong Delta area, Vietnam. Environmental Monitoring and Assessment, 187(5), 1-13. Rahmati, O., Haghizadeh, A., & Stefanidis, S. (2016). Assessing the accuracy of GIS-based analytical hierarchy process for watershed prioritization; Gorganrood River Basin, Iran. Water resources management, 30(3), 1131-1150. Rezaei, A., & Sayadi, M. H. (2015). Long-term evolution of the composition of surface water from the River Gharasoo, Iran: a case study using multivariate statistical techniques. Environmental geochemistry and health, 37(2), 251-261. Rezaei, F., Safavi, H. R., & Ahmadi, A. (2013). Groundwater vulnerability assessment using fuzzy logic: a case study in the Zayandehrood aquifers, Iran. Environmental management, 51(1), 267-277. Sahoo, M. M., & Patra, K. C. (2018). Spatiotemporal evaluation of trace elements in river water using multivariate methods. Human and Ecological Risk Assessment: An International Journal, 25(5), 1311-1335. Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., ... & Kouimtzis, T. (2003). Assessment of the surface water quality in Northern Greece. Water research, 37(17), 4119-4124. Singh, K. P., Malik, A., & Sinha, S. (2005). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques—a case study. Analytica Chimica Acta, 538(1-2), 355-374. Sun, X., Zhang, H., Zhong, M., Wang, Z., Liang, X., Huang, T., & Huang, H. (2019). Analyses on the temporal and spatial characteristics of water quality in a seagoing river using multivariate statistical techniques: A case study in the Duliujian River, China. International journal of environmental research and public health, 16(6), 1020. Teymouri, M., & Fathzadeh, A. (2015). Stochastic modeling of monthly river flow forecasting (Case study: Atrak River Basin, Iran. Journal of Selçuk University Natural and Applied Science, 4(2), 38-48. Tobiszewski, M., Tsakovski, S., Simeonov, V., & Namieśnik, J. (2010). Surface water quality assessment by the use of combination of multivariate statistical classification and expert information. Chemosphere, 80(7), 740-746. Vega, M., Pardo, R., Barrado, E., & Debán, L. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis. Water research, 32(12), 3581-3592. Vieira, J. S., Pires, J., Martins, F. G., Vilar, V. J., Boaventura, R. A., & Botelho, C. (2012). Surface water quality assessment of Lis river using multivariate statistical methods. Water, Air, & Soil Pollution, 223(9), 5549-5561. Voza, D., Vukovic, M., Takic, L., Nikolic, D., & Mladenovic-Ranisavljevic, I. (2015). Application of multivariate statistical techniques in the water quality assessment of Danube river, Serbia. Archives of Environmental Protection. Wang, Y., Wang, P., Bai, Y., Tian, Z., Li, J., Shao, X., ... & Li, B. L. (2013). Assessment of surface water quality via multivariate statistical techniques: a case study of the Songhua River Harbin region, China. Journal of hydro-environment research, 7(1), 30-40. Wu, Y., Dai, R., Xu, Y., Han, J., & Li, P. (2018). Statistical assessment of water quality issues in Hongze Lake, China, related to the operation of a water diversion project. Sustainability, 10(6), 1885. Yidana, S. M., Ophori, D., & Banoeng-Yakubo, B. (2008). A multivariate statistical analysis of surface water chemistry data—The Ankobra Basin, Ghana. Journal of Environmental Management, 86(1), 80-87. Zhang, Q., Li, Z., Zeng, G., Li, J., Fang, Y., Yuan, Q., ... & Ye, F. (2009). Assessment of surface water quality using multivariate statistical techniques in red soil hilly region: a case study of Xiangjiang watershed, China. Environmental monitoring and assessment, 152(1), 123-131. Zhao, J., Fu, G., Lei, K., & Li, Y. (2011). Multivariate analysis of surface water quality in the Three Gorges area of China and implications for water management. Journal of Environmental Sciences, 23(9), 1460-1471. | ||
|
آمار تعداد مشاهده مقاله: 591 تعداد دریافت فایل اصل مقاله: 464 |
||
نماد الکترونیک
سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب