Trend analysis of water quality variation of the Karun River using the Mann-Kendall test and geographic information system (GIS)

Document Type : Research/Original/Regular Article

Authors

1 Assistance Professor, Department of Soil Science, Faculty of Agriculture, Agricultral Sciences and Natural Resources University of Khuzestan, Khuzestan, Iran

2 Expert, Department of Soil Science, Faculty of Agriculture, Agricultral Sciences and Natural Resources University of Khuzestan, Khuzestan, Iran

Abstract

Introduction
Accurate quantification of environmental trends must consider variation at different temporal scales when ignoring variation at one scale could lead to incorrect conclusions about variation at another scale. Many environmental monitoring programs collect temporally resolved but irregular time series data to quantify trends for regulatory, management, or research purposes. Conducting a study to understand the trends and predict future conditions in hydrological aspects such as river water quality is essential. During the last decades, river water quality monitoring has increased by measuring several water quality parameters. Therefore, the analysis of water quality trends is important in providing information about changes or variations in water quality through time series data .Furthermore, determining the quality status of water resources is necessary to adopt proper policies to prevent and enhance the reduction of water quality. Additionally, based on this information, it is possible to identify the quality of river water and implement protective measures to improve and manage rivers and drainage basins in a more integrated way. In recent years, the water quality of the Karun River has been affected by various pollutants, including agricultural runoff and industrial wastewater; Therefore, it seems necessary to monitor the quality of the river and the process of its changes over time and place to know the current situation and provide the necessary measures in the future. Therefore, this research analyzed the Karun River's water quality trend over 20 years at four water quality monitoring stations.
 
Materials and methods
To check the quality of river water in hydrometric stations, the obtained data were assessed from physical and chemical parameters, including Total Dissolved Solids (TDS), Electrical Conductivity (EC), Sodium adsorption ratio (SAR), Na, and Cl in 20 years from 1998 to 2017 in four hydrometric stations including Gotvand, Shushtar, Mollasani, and Ahvaz of Karun river in the wet season (first six months of the water year) and dry season (the second half of the water year). The process of river water quality and inspecting the changes were conducted using the Mann-Kendall test and a geographic information system, respectively. Wilcox's classification was used to check the water quality from an agricultural point of view, as there are relevant standards. By putting the sodium absorption ratio against salinity, Wilcox presents a chart for the water quality assessment for agricultural purposes and can classify water into different classes based on EC and SAR values.
 
Results and Discussion
According to the results, the river water salinity in the wet season in three hydrometric stations significantly increased. The increment was at the level of 10% at the Shushtar and Mollasani stations. However, at the Ahvaz station, it rose to the level of five percent. Due to the different annual rainfall amounts during the study period, the river water’s electrical conductivity had relatively large fluctuations in all the investigated stations. The range of electrical conductivity (EC) alterations in the wet season was between 490 and 2800 µS/cm and in the dry season between 397 and 2806 µS/cm. TDS increased in the wet and dry seasons. Moreover, the p-value showed that the value of this statistic was significant at the level of 10% in the Shushtar and Mollasani stations and at the level of five percent in the Ahvaz station. The range of changes in the wet period was between 250 and 1750 mg/liter and in the dry period between 220 and 1700 mg/liter. The alterations in total dissolved solids were more in the wet than in the dry season and did not have a uniform trend. In fact, the decrease or increase in the amount of precipitation affected the intensity and weakness of the TDS amount during the year.
 
Conclusion
The results of the Mann-Kendall test showed that the parameters of TDS, SAR, Na, Cl, and EC increased during the last twenty years, indicating the expansion of the entry of sewage and industrial and agricultural effluents. According to the Wilcox index, water quality for agricultural purposes was in the average category in all the studied stations. Meanwhile, Na, Cl, and TDS parameters were in the average and inappropriate range in some years, being an alarm regarding the low water quality. Additionally, there is a risk of water quality decline in the investigated stations. In general, the watershed of the Karun River is noteworthy due to the presence of a large population, cities, and centers. Specifically, the city of Ahvaz and the heavy steel industries located in this watershed are important fundamental in terms of water consumption and producing pollutants affecting the quality of water resources, which faces many quantitative and qualitative challenges in water. The study of the changes in the water quality parameters of the stations located in the Karun River during the study period demonstrated that the amount of dissolved salts in these rivers increased and caused the reduction of water quality due to incorrect utilization and failure to comply with the principles of river exploitation.

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References
Azhar, S.C., Aris, A.Z., Yusoff, M.K., Ramli, M.F., & Juahir, H. (2015). Classification of river water quality using multivariate analysis. Procedia Environmental Sciences, 30(7), 79-84. doi:10.1016/j.proenv.2015.10.014
Beck, M., Perry de Valpine, B., Rebecca, M., Wren, I., Ariella, C., Melissa, F., & David. B. (2022). Senn Multi-scale trend analysis of water quality using error propagation of generalized additive models. Science of The Total Environment, 802, 149927. doi:10.1016/j.scitotenv.2021.149927
Camara, M., Jamil, F., & Abdullah, A (2019). Impact of land uses on water quality in Malaysia: a review. Ecological Processes, 10(3), 25-39. doi:10.1186/s13717-019-0164-x
Che, M.S.Y., Reid, I., & Hashim, M. (2012). Rainfall trend analysis using 50 years historical data in newly developed catchment in Peninsular Malaysia. Middle East Journal of Scientific Research, 11(5), 668-673. https://www.idosi.org/mejsr/mejsr11(5)12/20.pdf
Cloern, J.E. (2018). Patterns, pace, and processes of water-quality variability in a longstudied estuary. Limnology Oceanography, 64(1), 192–208. doi:10.1002/lno. 10958.
Ensafi Moghaddam, T. (2021). Investigating the trend of annual, seasonal and monthly changes in the level of underground water (Case Study: Mighan Arak sub-basin). Iranian Journal of Pasture and Desert Research. 27(3), 23-30. [In Persian]
Ensafi Moghaddam, Tahereh.(2019).  Investigation of annual, seasonal and monthly changes in groundwater level (Case study: Miqan sub-basin). Iranian Journal of Range and Desert Research, 27(3), 516-544. [In Persian]. doi:10.22092/ijrdr.2020.6785.1075.
Fakhouri Dekahi, B., Mazaheri, M., & Mohammad Vali Samani, J. (2018). Evaluation of Karun River water salinity reduction strategies using management scenarios. Amirkabir Journal of Civil Engineering, 50(2), 245-256. [In Persian]
Forbes, D.J., & Xie, Z. (2018). Identifying process scales in the Indian River lagoon, Floridausing wavelet transform analysis of dissolved oxygen. Ecological Complexity, 36, 149–167. doi:10.1016/j.ecocom.2018.07.005.
 Hagh Bin, A., & Ghomeshi, M. (2014). Analysis of salinity in upper Gatund Dam and its effect on Karun River. The 4rd National Conference On Irrigation and Drainage Networks Management. Ahvaz, Iran. [In Persian]
Hashemi Fard, A., Kordavani, P., & Asadian, F. (2019). Analysis of the effects of pollutants of human origin on the water quality of the Karun River (Between Gatund Dam and Ahvaz region). Regional of Planning Quarterly, 8(30), 155-164. [In Persian]
Hosseini Zare, N., Gholami, A., Panahpour, I., & Jafarnejadi, A. (2014). Identifying and determining the pollution load of agricultural pollutants in the catchment area of Karun and Dez rivers. Journal of Irrigation Sciences and Engineering), 3(39), 121,134. [In Persian].
Hosseini, P., Ildoromi, A., & Hosseini, Y. (2016). The Study of Qual2kw model efficacy on River Self-purification (A Case Study of Karun River at Interval of Zargan to Kute Amir). Jounral Of Environmental Science And Technology, 18(4), 103-122. https://jest.srbiau.ac.ir/article_9959.html?lang=en [In Persian]
Hossieni, P., Ildoromi, A., Hosseini, Y. (2016). The Study of Qual2kw Model Efficacy on River Self-purification(A Case Study of Karun River at Interval of Zargan to Kute Amir). Journal of Environmental Scientific  Technology. 18(4),103-122. [In Persian].
Houshmand, A., Dalqandi, M., Seyed Kabuli, H. (2009). Water quality zoning of Karun River based on WQI index using GIS. The Second Specialized Conference On Environmental Engineering. Tehran, Iran. [In Persian]
Ismail, W.R., & Hashim, M. (2014). Changing trends of rainfall and sediment fluxes in the Kinta River catchment, Malaysia. Proceedings and Report, 367, 340–345. doi:10.5194/piahs-367-340-2015
Javaheri, P. (2001). The solution of water in the history of Fars. 1th Edition: Publications of Iran's National Irrigation and Drainage Committee, 288 pages. [In Persian]
Karimi Jashni, A., & Salari Dargi, M. (2015). Qualitative classification of river water (case study of Karun, Dez and Karkheh rivers), Environment and Development Journal, 10(5), 38-29. [In Persian]
Kendall, M. (1975). Rank Correlation Methods, Griffin, London.
Khalaf, R., & Yaeghobi, S.Z. (2017). Spatial and temporal variability of water quality for Karun River, in Upstream and downstream Gotvand Dam. Water Resources Engineering, 8(3), 33-53. [In Persian]
Kordian, S. (2013). Evaluation of the water quality and pollution of the Tirah River, between the cities of Borujerd and Durud (Lorestan Province). Master's Thesis, Shahroud University of Technology, Shahroud, Iran. [In Persian]
Lefcheck, J.S., Wilcox, D.J., Murphy, R.R., Marion, S.R., & Orth, R.J. (2017). Multiple stressors threaten the imperiled coastal foundation species eelgrass (zostera marina) in Chesapeake Bay. Global. Change. Biology. 23, 3474–3483. doi:10.1111/gcb. 13623.
Luo, P., Kang, S., Zhou, M., Lyu, J., Aisyah Siti, Binaya, M., Regmi, R.K., & Nover, D. (2019). Water quality trend assessment in Jakarta: A rapidly growing Asian megacity. PloS one,14(7), 1–17. doi: 10.1371/journal.pone.0219009
Mahmoodabadi, M., & Rezaei Arshad, R. (2018). Long-term evaluation of water quality parameters of the Karoun River using a regression approach and the adaptive neuro-fuzzy inference system. Marine Pollution Bulletin, 126, 372-380. doi: 10.1016/j.marpolbul.2017.11.051.
Mann, H.B. (1945). Nonparametric tests against trend. Econometrica, 13, 245-259.
Mirzaei, M., Selgi, J., Mahini, S., & Rasool, A. (2017). The role of land use in the water quality of Zayandeh Rud River. Water Engineering, 11(38), 61-70. [In Persian]
Moravej, M., Karimi Rad, I., & Ebrahimi, K. (2016). Quality assessment of Karun river based on water quality index and using GIS. Ecohydrology, 1(4), 225-235. doi:10.22059/ije.2017.60905.  [In Persian]
Nayan, N., Saleh, Y., Hashim, M., Mahat, H., & See, K.L. (2019). Investigating groundwater quality in the flood prone neighborhood area in Malaysia. Indonesian Journal of Geography, 51(2), 123-130. doi:10.22146/ijg.35589
Pereli, P., Sahoo, B.C., Paul, J., Sahu, A.P., & Mohapatra, K. (2022). Trend analysis in gridded rainfall data using Mann–Kendall and Spearman’s rho tests in Kesinga catchment of Mahanadi river basin, India. Theorical and Apllied Climatology, 12(1), 23-35. doi:10.21203/rs.3.rs2332337/v1
RahmaniA.R.SamadiM.T., & HeydariM. (2008). water quality assessment of hamadan-bahar plain rivers using wilcox diagram for irrigation. Journal of Agricultural Biotechnology, 5(1), 27-35. [In Persian]
Ratnaningsih, D., Nasution, N., Wardhani, D., Pitalokasari, J., & Fauzi, R. (2019). Water pollution trends in Ciliwung River based on water quality parameters. IOP Conference Series: Earth and Environmental Science. 1-13. doi :10.1088/1755-1315/407/1/012006
Saeedavi, Z., Khalili Moghadam, B., Bagheri Bodaghabadi, M., & Rangzan, N. (2017). Land suitability assessment for urban green space using AHP and GIS: A case study of Ahvaz parks, Iran. Desert, 22(1), 117-133. doi:10.22059/JDESERT.2017.62174
Saeidi Pour, M. (2020). Water quality assessment of Karun and Dez Rivers in wet and dry seasons using wilcox and schuler quality index for agricultural and drinking purposes. Master's Thesis, Agricultural Sciences and Natural Resources University of Khuzestan, Bavi. Iran. [In Persian]
Sarmadi, M. (2016). Prediction of dissolved solids in Sara River water using artificial neural network. Master's Thesis, Civil and Development Higher Education Institute, Hamedan. [In Persian]
Shigute, M., Alamirew, T., Abebe, A., Christopher, E., & Habtamu, T. (2023). Analysis of rainfall and temperature variability for agricultural water management in the upper Genale river basin, Ethiopia. Scienitific African, 20-e01635. doi:10.1016/j.sciaf.2023.e01635
Simeonov, V., Stratis, J.A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., Sofoniou, M., & Kouimtzis, T., (2003). Assessment of the surface water quality in Northern Greece. Water Research, 37(17), 4119–4124. doi: 10.1016/S0043-1354(03)00398-1
Singh, S., Gautam, P.K., Sarkar, T., & Taloor, A.K., (2022). Characterization of the groundwater quality in Udham Singh nagar of Kumaun himalaya, Uttarakhand. Environmental Earth Science, 81(19), 1–13. doi:10.1007/s12665-022-10579-3
Vivekanandan, N., (2007). Analysis of trend in rainfall using non parametric statical methods. International symposium on rainfall rate and radio wave propagation. American Institute of Physics, P101-113. doi:10.1063/1.2767019
Yang, G., Moyer, D.L. (2020). Estimation of nonlinear water-quality trends in highfrequency monitoring data. Science of The Total Environment, 715. doi:10.1016/j. scitotenv.2020.136686.
Zarei, H., & Akhond Ali, A.M. (2007). Investigating the impact of Gachsaran Formation on the water quality of Karun River in Khuzestan Province and comparing it with Dez River. The 7th International Seminar on River Engineering, Ahvaz. Iran. [In Persian]