پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شماره‌ها | 6,476 |
| تعداد مقالات | 70,001 |
| تعداد مشاهده مقاله | 122,880,191 |
| تعداد دریافت فایل اصل مقاله | 96,074,766 |
ارزیابی توزیع عمقی آلودگی میکروبی در مخازن (مطالعۀ موردی: سد سبلان) | ||
| اکوهیدرولوژی | ||
| مقاله 16، دوره 7، شماره 1، فروردین 1399، صفحه 209-222 اصل مقاله (1.11 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ije.2020.290566.1221 | ||
| نویسندگان | ||
| صادق پرتانی* 1؛ روح اله نوری2؛ سید هادی ابطحی3 | ||
| 1استادیار، گروه مهندسی عمران، دانشکدۀ فنی و مهندسی، دانشگاه بجنورد، بجنورد | ||
| 2استادیار، گروه مهندسی محیط زیست، دانشکدۀ محیط زیست، دانشگاه تهران، تهران | ||
| 3دکترای تخصصی علوم و مهندسی آب، دانشگاه ارومیه، ارومیه | ||
| چکیده | ||
| هدف اصلی پژوهش حاضر، بررسی ارتباط کلیفرم کل (TC) و کلیفرم مدفوعی (FC) با پارامترهای فیزیکی و شیمیایی آب در اعماق مختلف مخزن سد سبلان در شرایط لایه‌بندی حرارتی تابستانه است. به این منظور، نمونهبرداری از اعماق مختلف سد در ماههای خرداد، تیر و مرداد که سد در شرایط لایه‌بندی شدید حرارتی بود، انجام شد. سپس، در هر نمونه پارامترهای pH، TC، FC، هدایت الکتریکی (EC)، فشار (P)، فسفر کل (TP)، کل جامدات محلول (TDS)، اکسیژن محلول (DO) و دمای آب (T) اندازهگیری شد. نتایج بررسیهای اولیه نشان داد با افزایش عمق در ستون آب پارامترهای pH، DO و T کاهش یافته و از طرف دیگر EC، TDS و TP افزایش مییابند. نتایج به‌دست‌آمده از روشهای تحلیل آماری چندمتغیره مانند خوشهبندی، همبستگی زوجی و رگرسیون چندمتغیره خطی بیانگر تأثیرپذیری TC و FC از تغییرات P و TDS بود. از طرفی، با حرکت از سطح به سمت کف مخزن سد، پراکنش کلیفرمها کاهش یافت، که افزایش و کاهش کلیفرم بهصورت نامتوازن است و نمیتوان الگوی خاصی برای پراکنش آنها در نظر گرفت. با توجه به آنالیز روابط به‌دست‌آمده مشخص شد 58 درصد از تغییرات TC و 59 درصد از تغییرات FC در صورت اطلاع از مقادیر TDS و P، قابل پیشبینی هستند. همچنین، نتایج تحقیق حاضر مشخص کرد که FC و TC با T، Do و pH رابطۀ مستقیم دارند و رابطۀ آنها با EC، TDS و P معکوس است. | ||
| کلیدواژه‌ها | ||
| حفاظت کیفی؛ دریاچۀ سد؛ کلیفرمهای کل؛ کلیفرمهای مدفوعی؛ لایه‌بندی بیولوژیکی | ||
| عنوان مقاله [English] | ||
| Vertical Distribution of Microbial Pollution (Case study: Sabalan Dam) | ||
| نویسندگان [English] | ||
| Sadegh Partani1؛ Roohollah Noori2؛ Sayyed Hadi Abtahi3 | ||
| 1Assistant Professor, Department of Civil Engineering, Faculty of Engineering, University of Bojnord, Bojnurd, Iran | ||
| 2Assistant Professor, Graduate Faculty of Environment, College of engineering, University of Tehran, Tehran | ||
| 3Ph.D of Water Sciences and Engineering, Urmia University, Urmia | ||
| چکیده [English] | ||
| The main purpose of the research is to investigate the relationship between pathogenic micro-organisms (total coliforms (TC) and fecal coliforms (FC)) with physical and chemical parameters of water in different depths of reservoirs. Samples were taken from different depths of the dam reservoir in June, July and August, when the water was in maximum temperature, pH, TC, FC, electrical conductivity (EC), pressure (P), Total phosphorus (TP), total dissolved solids (TDS), dissolved oxygen (DO) and temperature (T) were measured. Preliminary results showed that pH, DO and T parameters decreased with increasing depth in the water column, while EC, TDS and TP increased. The results obtained from multivariate statistical analysis methods revealed that TC and FC were affected by P and TDS changes. By moving from the surface to the bottom of the dam reservoir, the distribution of the coliforms decreased, which is unbalanced, and no specific pattern of coliform distribution can be considered. Based on the analysis of the relationships, it was found that 58% of total coliform and 59% of fecal coliform changes were predictable if the total soluble and pressurized solids were quantified. Also, by Pearson correlation analysis, it was determined that total coliform and fecal coliform, in none of the four levels, were correlated with total soluble solids and pressure parameters, and none of these parameters had a significant direct effect on them. As a result, fecal coliform and total coliform are directly related to T, Do and pH and inversely related to EC, TDS, and strain. | ||
| کلیدواژه‌ها [English] | ||
| Quality protection, Total coliforms, Fecal coliforms, Biological stratification, Dam reservoir | ||
| مراجع | ||
|
[1]. Sila ON. Physico-chemical and bacteriological quality of water sources in rural settings, a case study of Kenya, Africa. Sci African. 2019; 2:e00018. [2]. Aguilera R, Gershunov A, Benmarhnia T. Atmospheric rivers impact California’s coastal water quality via extreme precipitation. Sci Total Environ. 2019; 671:488–94. [3]. Canizalez-Roman A, Velazquez-Roman J, Valdez-Flores MA, Flores-Villaseñor H, Vidal JE, Muro-Amador S, et al. Detection of antimicrobial-resistance diarrheagenic Escherichia coli strains in surface water used to irrigate food products in the northwest of Mexico. Int J Food Microbiol. 2019; 304:1–10. [4]. Wang J, Deng Z. Modeling and predicting fecal coliform bacteria levels in oyster harvest waters along Louisiana Gulf coast. Ecol Indic. 2019; 101:212–20. [5]. Buckley R, Clough E, Warnken W, Wild C. Coliform bacteria in streambed sediments in a subtropical rainforest conservation reserve. Water Res. 1998; 32(6):1852–6. [6]. Baghel VS, Gopal K, Dwivedi S, Tripathi RD. Bacterial indicators of faecal contamination of the Gangetic river system right at its source. Ecol Indic. 2005; 5(1):49–56. [7]. Abdel-satar AM, Ali MH, Goher ME. Indices of water quality and metal pollution of Nile, River, Egypt. 2017; 21–9. [8]. Huachang H, Qiu J-W, Liang Y. Environmental factors influencing the distribution of total and fecal coliform bacteria in six water storage reservoirs in the Pearl River Delta Region, China. J Environ Sci (China). 2010; 22:663–8. [9]. Marietou A, Bartlett DH. Effects of High Hydrostatic Pressure on Coastal Bacterial Community Abundance and Diversity. Kostka JE, editor. Appl Environ Microbiol. 2014; 80(19):5992–6003. [10]. Vignesh S, Dahms H, Kim B, James RA. Microbial Effects on Geochemical Parameters in a Tropical River Basin. 2015; 100:125–44. [11]. Gautam B, Kasi M, Lin W. Determination of Fecal Coliform Loading and its Impact on River. Dep Civ Eng North Dakota Stte Univ Fargo. 2006; 3851–74. [12]. Molina F, López-Acedo E, Tabla R, Roa I, Gómez A, Rebollo JE. Improved detection of Escherichia coli and coliform bacteria by multiplex PCR. BMC Biotechnol. 2015; 15(1):48. [13]. Hosseini ST, Chegini V. Seasonal Variation of Physicochemical Parameters in the Coastal Water around the Bushehr Peninsula. J Oceanogr. 2014; 5(17). [Persian]. [14]. Hemming MP, Kaiser J, Heywood KJ, Bakker DCE, Boutin J, Shitashima K, et al. Measuring pH variability using an experimental sensor on an underwater glider. Ocean Sci. 2017; 427–42. [15]. Mena-Rivera L, Salgado-Silva V, Benavides-Benavides C, Coto-Campos JM, Swinscoe THA. Spatial and Seasonal Surface Water Quality Assessment in a Tropical Urban Catchment: Burío River, Costa Rica. Water. 2017; 9(8). [16]. Company ACE. Studies of the second phase of Sabalan Dam Project. [17]. Ling T, Gerunsin N, Soo C, Nyanti L, Sim S, Grinang J. Seasonal Changes and Spatial Variation in Water Quality of a Large Young Tropical Reservoir and Its Downstream River. 2017. [18]. Herfort L, Crump BC, Fortunato CS, Mccue LA, Campbell V, Simon HM, et al. Factors affecting the bacterial community composition and heterotrophic production of Columbia River estuarine turbidity maxima. 2017;(February):1–15. [19]. Noroozi Karbasdehi V, Dobaradaran S, Nabipour I, Ostovar A, Arfaeinia H, Vazirizadeh A, et al. Indicator bacteria community in seawater and coastal sediment : the Persian Gulf as a case. J Environ Heal Sci Eng. 2017; 1–15. [20]. Chigbu P, Gordon S, Tchounwou PB. The Seasonality of Fecal Coliform Bacteria Pollution and its Influence on Closures of Shellfish Harvesting Areas in Mississippi Sound. Int J Environ Res Public Health. 2005; 2(2):362–73. [21]. Islam MMM, Hofstra N, Islam A. The Impact of Environmental Variables on Faecal Indicator Bacteria in the Betna River Basin , Bangladesh. Cross Mark. 2017; 319–32. [22]. Shamsaei H, Jaafar O, Basri N. Disadvantage Pressure Changes on the Decline of Water Quality in Water Distribution Systems. Engineering. 2013; 05:97–105. [23]. Bassin JP, Kleerebezem R, Muyzer G, Rosado AS, van Loosdrecht MCM, Dezotti M. Effect of different salt adaptation strategies on the microbial diversity, activity, and settling of nitrifying sludge in sequencing batch reactors. Appl Microbiol Biotechnol. 2012; 93(3):1281–94. [24]. Kim G, Choi E, Lee D. Diffuse and point pollution impacts on the pathogen indicator organism level in the Geum River, Korea. Sci Total Environ. 2005; 350:94–105. [25]. Yan S, Yu S-E, Wu Y, Pan D, She D, Ji J. Seasonal Variations in Groundwater Level and Salinity in Coastal Plain of Eastern China Influenced by Climate. J Chem. 2015; 2015:1–8. [26]. Choi SY, Seo IW. Prediction of fecal coliform using logistic regression and tree-based classification models in the North Han River, South Korea. J Hydro-environment Res. 2018; 21:96–108. [27]. Norat-Ramírez J, Méndez-Lázaro P, Hernández-Delgado EA, Mattei-Torres H, Cordero-Rivera L. A septic waste index model to measure the impact of septic tanks on coastal water quality and coral reef communities in Rincon, Puerto Rico. Ocean Coast Manag. 2019; 169:201–13. [28]. Díaz-Alcaide S, Martínez-Santos P. Mapping fecal pollution in rural groundwater supplies by means of artificial intelligence classifiers. J Hydrol. 2019; 577:124006. [29]. Painchaud J, Therriault J, Legendre L. Assessment of salinity-related mortality of freshwater bacteria in the saint lawrence estuary. Appl Environ Microbiol. 1995; 61(1):205–8. [30]. Lønborg C, Cuevas L, Reinthaler T, Herndl G, Gasol J, Morán XA, et al. Depth Dependent Relationships between Temperature and Ocean Heterotrophic Prokaryotic Production. Front Mar Sci. 2016; 3. [31]. Duraibabu DB, Leen G, Toal D, Newe T, Lewis E, Dooly G. Underwater Depth and Temperature Sensing Based on Fiber Optic Technology for Marine and Fresh Water Applications. Sensors. 2017; 17:1228. [32]. Bingham FM, Busecke J, Gordon AL, Giulivi CF, Li Z. The North Atlantic subtropical surface salinity maximum as observed by Aquarius. J Geophys Res Ocean. 2014; 119(11):7741–55. [33]. González-Saldía RR, Pino-Maureira NL, Muñoz C, Soto L, Durán E, Barra MJ, et al. Fecal pollution source tracking and thalassogenic diseases: The temporal-spatial concordance between maximum concentrations of human mitochondrial DNA in seawater and Hepatitis A outbreaks among a coastal population. Sci Total Environ. 2019; 686:158–70. | ||
|
آمار تعداد مشاهده مقاله: 582 تعداد دریافت فایل اصل مقاله: 283 |
||