بررسی عوامل مؤثر بر کیفیت منابع آب در ساختگاه سد بازفت

نوع مقاله : مقالات پژوهشی

نویسندگان

1 واحد شیراز، دانشگاه آزاد اسلامی

2 دانشگاه فردوسی مشهد

چکیده

بررسی کیفیت منابع آب موجود در ساختگاه سدها یکی از مطالعات اولیه در طراحی چنین سازه­هایی می­باشد. در این پژوهش با انجام مطالعات آزمایشگاهی و صحرایی، شاخص­های متعددی جهت بررسی کیفیت منابع آب ساختگاه سد بازفت برای اهداف مختلف بررسی شد. سد بازفت از نوع بتنی دو قوسی با ارتفاع 211 متر از پی در جنوب غرب ایران در استان چهارمحال و بختیاری واقع شده است. پی سنگ ساختگاه سد شامل آهک­ها و دولومیت­های سازند آسماری و جهرم می­باشد. پس از مطالعات صحرایی، آنالیز شیمیایی نمونه­های آب برداشت شده از منابع آبی چشمه، رودخانه و گمانه­های اکتشافی واقع در ساختگاه سد انجام شد. نتایج نشان داد که آنیون­های HCO3،Cl ، SO4، CO3 و NO3 به ترتیب و کاتیون­های Ca، Na، Mg و K به ترتیب بیشترین هستند. نتایج تحلیل عاملی نشان داد که 87.13 درصد از تغییرات کیفی آب توسط چهار گروه عاملی کنترل می­شود. مهمترین عامل مؤثر بر کیفیت آب ساختگاه شامل EC، TDS، Na%، SAR، کلرید، سولفات، قلیاییت، Na و کربنات با 50.91 درصد می­باشند. ماتریکس همبستگی عناصر بررسی شد و دقت برخی از روابط بر اساس معیارهای مختلف آماری بررسی شد. خورندگی آب بالا و تمام شاخص­ها نشانگر کیفیت مناسب منابع آب ساختگاه برای کشاورزی و آشامیدن می­باشد.

کلیدواژه‌ها


عنوان مقاله [English]

Investigation of Influence Factors on Water Resources Quality in Bazoft Dam Site

نویسندگان [English]

  • A. Rastegarnia 1
  • mehdi karami 2
  • M. Ghafoori 2
1 Islamic Azad University, Shiraz
2 Ferdowsi University of Mashhad
چکیده [English]

Introduction: Water resources quality assessment of the dam sites is one of the primary studies in the designing of these structures. The main challenges in Iran are the reduction of water resources and the limitation of groundwater exploitation. Much of these resources are formed in karst water resources in the karstic susceptible formations such as the Asmari carbonate formation in Zagros Mountain, Iran. In this study using laboratory and field studies, various parameters and indices were assessed to investigate the water resources quality of Bazoft dam site for different purposes. Bazoft dam is a double-curvature arch dam with a height of 211 meters which is located in Chaharmahal and Bakhtiari Province of Iran. The bedrock of the dam site consists of limestone and dolomite rocks of the Asmari and the Jahrom formations. The Jahrum formation formed the right abutment, the riverbed and the lower parts of the left abutment. The Asmari formation formed the rocks in the middle and upper part of the left abutment.
Materials and Methods: After field studies, chemical analyses have been performed on the collected water samples from the water resources such as springs, river and the exploratory boreholes in the dam site. PH and electrical conductivity (EC) were measured by pH meter and electrical conductivity apparatus was measured at 25 ° C. Concentration of ions such as calcium, magnesium, bicarbonate was measured by titration method. The concentration of ions such as sodium and potassium, sulfate and nitrate were measured  using the Flame-Photometry, and Spectrophotometry methods, respectively.. The test error in all cases was low and the results were confirmed. The indices such as Langelier saturation index and Ryznar stability index, sodium adsorption ratio (SAR), soluble sodium percentage, residual sodium carbonate, permeability index, Kelly ratio, were calculated based on related equations. Principal factor analysis (PCA) is used to determine the most influential variables when the number of variables is investigated and the relationship between them is unknown. In this method the variables are set on the elements so that the first factor is reduced to the next factor of the variance, hence the variables that are based on the first factors are the most influential. PCA reduces the dimensions of the initial data by turning the main components around the vertical and horizontal axes of coordinates. This rotation actually increases the variance between the main components and therefore it is called Variance Maximize Varimax or orthogonal rotation. The Varimax command is one of the most common methods of orthogonal rotation that preserves the independence between the extracted agents. This method reduces the number of the larger factor loadings to the lowest number. In this method, the scree plot chart determined the number of factors extracted. Parameters of R2 and RMSE in order to investigate the performance of relations have been used. As R2 is closer to the one and the RMSE is closer to the zero, the proposed relationship will yield better performance.
Results and Discussion: Anions such as HCO3, Cl, SO4, CO3 and NO3 and cations such as Ca, Na, Mg, and K are the most, respectively. From the viewpoint of hardness, all waters are placed in the hard category. According to the percentage of Na, the spring’s water is excellent, the water of the borehole is good and the river is acceptable. The results of factor analysis showed that 87.13 percent of the water quality variations are controlled by four factors. The most important factors affecting the water quality of the dam site include EC, TDS, Na %, SAR, Cl, SO4, alkalinity, Na, and CO3 with 50.91 %. The second factor include calcium, magnesium, potassium ions with 15.82 %, the third factor include nitrate, bicarbonate, and hardness with 11.61 % and pH and carbonate with 7.17 % are fall into the fourth factor. The correlation matrix of the parameters was investigated and the accuracy of some relationships was examined on the basis of different statistical criteria. The relationships of LSI with RSI and EC with TDS in the dam site and their comparison with previously suggested equations indicated that there is a high correlation and each relationship is applicable for a particular area. Also, the trend of points obtained from each equation has the appropriate consistency but the RMSE of the assessed equations is high. EC plot against TDS to determine the relationship between the two parameters in the Bazoft dam site is TDS=0.70Ec-31.24.
Conclusion: The concentration of all assessed cations and anions is lower than the WHO permissible limit. The water resources are corrosive and all indices indicated the appropriate quality of water resources for farming and drinking.

کلیدواژه‌ها [English]

  • Bazoft dam
  • Factor analysis
  • Hydrogeochemistry
  • Water resources pollution
1- Acikel S., and Ekmekci M. 2018. Assessment of groundwater quality using multivariate statistical techniques in the Azmak Spring Zone, Mugla, Turkey. Environmental Earth Sciences 77: 1–14.
2- Don C.M. 1995. A grows guide to water quality. University college station, Texas, pp. 601–9
3- Doneen L.D. 1962. The influence of crop and soil on percolating water. Proceedings: in Biennial Conference on Groundwater recharge, 156–163.
4- Ghafoori M., Rastegarnia A., and Lashkaripour G.R. 2018. Estimation of static parameters based on dynamical and physical properties in limestone rocks. Journal of African Earth Sciences 137: 22–31.
5- Hounslow A.W. 2018. Water quality data: Analysis and interpretation. CRC press. 1-398 pp.
6- Ihejirika C.E, Njoku J.D, Ujowundu C.O, Uchenna S., and Uzoka C.N. 2011. Synergism between Season , pH , conductivity and total dissolved solids ( TDS ) of Imo River quality for agricultural irrigation. Journal of Biodiversity and Environmental Sciences 1: 26–31.
7- Karimi H., Raeisi E., and Rezaei A. 2018. Determination of karst aquifer characteristics using physicochemical parameters (A case study from west of Iran). Geopersia 8: 293-305.
8- Kelley W.P. 1951. Alkali soils; their formation, properties, and reclamationNo. 04; RMD, S595 K4. 1951.
9- Lashkaripour G.R., Rastegarnia A., and Ghafoori M. 2018. Assessment of brittleness and empirical correlations between physical and mechanical parameters of the Asmari limestone in Khersan 2 dam site, in southwest of Iran. Journal of African Earth Sciences 138: 124–32.
10- Liska R., Margolin L., and Wendroff B. 1995. Nonhydrostatic two-layer models of incompressible flow, Vol. 29. McGraw-Hill Companies. 25-37 pp.
11- Ndlovu M.S., and Demlie M. 2018. Statistical analysis of groundwater level variability across KwaZulu-Natal Province, South Africa. Environmental Earth Sciences 77: 739.
12- Oinam J.D., Ramanathan A.L., and Singh G. 2012. Geochemical and statistical evaluation of groundwater in Imphal and Thoubal district of Manipur, India. Journal of Asian Earth Sciences 48: 136–49.
13- Prasanna M.V., Chidambaram S., Senthil Kumar G., Ramanathan A.L, and Nainwal HC. 2011. Hydrogeochemical assessment of groundwater in neyveli basin, Cuddalore district, South India. Arabian Journal of Geosciences 4: 319–30.
14- Prusty P., Farooq S.H, Zimik H.V., and Barik S.S. 2018. Assessment of the factors controlling groundwater quality in a coastal aquifer adjacent to the Bay of Bengal, India. Environmental Earth Sciences 77: 762.
15- Raeissi E., and Moore F. 1993. Hydrochemistry of karst springs from two carbonatic units in Zagrosides of Iran. J Sci Islam Repub Iran 4: 302–7.
16- Rafferty K. 1999. Scaling in Geothermal Heat Pump Systems. Geo-Heat Center Klamath Falls, OR. 63 pp.
17- Rastegar Nia A., Lashkaripour G.R., and Ghafoori M. 2017. Prediction of grout take using rock mass properties. Bulletin of Engineering Geology and the Environment 76: 1643–54.
18- Rastegarnia A., Sharifi Teshnizi E., Hosseini S., Shamsi H., and Etemadifar M. 2018. Estimation of punch strength index and static properties of sedimentary rocks using neural networks in south west of Iran. Measurement: Journal of the International Measurement Confederation 128: 464–78.
19- Rastegarnia A., Sohrabibidar A., Bagheri V., Razifard M., Zolfaghari A. 2017. Assessment of Relationship Between Grouted Values and Calculated Values in the Bazoft Dam Site. Geotechnical and Geological Engineering. 35:1299–1310.
20- Richards A.L. 1954. Diagnosis and improvement of saline and alkali soils. Agric. Handbook 60. Agriculture handbook. 60:160.
21- Snyder R.G. 1961. Vibrational spectra of crystalline n-paraffins. II. Intermolecular effects. Journal of Molecular Spectroscopy 7: 116–44.
22- Srivastava S.K, and Ramanathan AL. 2008. Geochemical assessment of groundwater quality in vicinity of Bhalswa landfill, Delhi, India, using graphical and multivariate statistical methods. Environmental Geology 53: 1509–28.
23- Subramani T., Elango L., and Damodarasamy S.R. 2005. Groundwater quality and its suitability for drinking and agricultural use in Chithar River Basin, Tamil Nadu, India. Environmental Geology 47: 1099–1110.
24- Tziritis E.P. 2010. Assessment of NO3-contamination in a karstic aquifer, with the use of geochemical data and spatial analysis. Environmental Earth Sciences 60: 1381–90.
25- WHO. 1994. Drinking water guidelines., Vol. 102. World Health Organization. 271 pp.
26- Xiao M., Bao F., Wang S., and Cui F. 2016. Water quality assessment of the Huaihe River segment of Bengbu (China) using multivariate statistical techniques. Water Resources 43: 166–76.
27- Kalantari N., Rahimi M.H., and Churchchi A. 2007. Using Combined Diagrams, Factor Analysis and Saturation Indexes in Groundwater Quality Evaluation of Zvirjary and Khuran Plains, Quarterly Journal of Engineering Geology, 2 (1), https: www .civilica.com / PaperJR_JEGJR_JEG21_004. (In Persian)
28- Spindar R., Beigi M., and Siarian Nejad M. 2008. Hydrogeological study of Seymare Dam site using Hydrogeochemical data; Second National Conference on Hydroelectric Power Plants, Tehran, Iran Water and Power Resources Development Co., https: www.civilica .com. PaperNCHP02NCHP02_112. (In Persian)
29- Ostovari Y., and Beigi Harchegani H. 2013. Comparison of scaling and corrosion potentials and their components in two aquifers of the Lordegan and Jamal plains (Case study in Charmahal va Bakhtiari province) Iranian Journal of Water & Environment Engineering 1: 15-26. (In Persian)
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