پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 158 |
| تعداد شماره‌ها | 6,228 |
| تعداد مقالات | 67,752 |
| تعداد مشاهده مقاله | 115,086,263 |
| تعداد دریافت فایل اصل مقاله | 89,825,514 |
پهنه‌بندی مکانی شاخص کیفی آبخوان شمال شرقی دشت بیجار و مقایسۀ کیفیت آب با روش‌های مختلف | ||
| اکوهیدرولوژی | ||
| مقاله 17، دوره 8، شماره 1، فروردین 1400، صفحه 235-247 اصل مقاله (1.76 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ije.2021.316363.1444 | ||
| نویسندگان | ||
| عطااله ندیری* 1؛ صالح طاهری زنگی2؛ ناصر جبراییلی اندریان3 | ||
| 1دانشیار، دانشکدۀ علوم طبیعی، دانشگاه تبریز | ||
| 2دانش‌آموختۀ کارشناسی ارشد هیدروژئولوژی، دانشکدۀ علوم طبیعی، دانشگاه تبریز | ||
| 3دانشجوی دکتری هیدروژئولوژی، دانشکدۀ علوم طبیعی، دانشگاه تبریز | ||
| چکیده | ||
| با توجه به اینکه کیفیت آب شرب در سلامتی انسانها نقش مهمی دارد، باید کیفیت آب آبخوانها بهعنوان اصلیترین منبع تأمین آب شرب تجزیهوتحلیل شود. هدف از مطالعۀ حاضر، بررسی کیفیت آبهای زیرزمینی استفاده‌شده برای شرب در شمال شرقی دشت بیجار با شاخص GQI با استفاده از نرمافزار ArcGIS است. محدودۀ مطالعاتی آبخوان دشت بیجار یکی از آبخوانهای استان کردستان است که منبع آب شرب قسمتی از شهر بیجار و بیش از 12 روستا را تأمین میکند. شاخص کیفیت آب شرب با استفاده از چهار روش GQI، GQI-GA، GQI-FL-GA و GQI-FG برای این آبخوان تهیه شده و سپس، بهمنظور صحت‌سنجی و مقایسۀ نتایج چهار روش یادشده از ضریب همبستگی (r) و جذر میانگین مربعات خطا (RMSE) استفاده شد. بر اساس نتایج بهدستآمده، روش GQI-FL- GA با ضریب همبستگی 89/0 و RMSE 01/0 بهترین نتایج و روش GQI-FG با ضریب همبستگی 86/0 و RMSE 11/ 0 ضعیفترین نتایج را ارائه دادند. بر اساس روش شاخص کیفی آب 2/91 درصد از دشت کیفیت مناسب داشته و 8/8 درصد باقی منطقه که بیشتر بخشهای شمال شرقی (خروجی دشت) بوده و کیفیت قابل قبول دارد. | ||
| کلیدواژه‌ها | ||
| الگوریتم ژنتیک؛ دشت بیجار؛ شاخص کیفی آب؛ منطق فازی | ||
| عنوان مقاله [English] | ||
| Spatial Mapping of Northeast Bijar Plain Aquifer Quality Index and Comparison of Water Quality Using Different Methods | ||
| نویسندگان [English] | ||
| Ata Allah Nadiri1؛ Saleh Taheri Zangi2؛ Nasser Jabraili Andaryan3 | ||
| 1Associate Professor, Faculty of Natural Sciences, University of Tabriz | ||
| 2Master of Science of Hydrogeology, Faculty of Natural Sciences, University of Tabriz | ||
| 3PhD Student in Hydrogeology, Faculty of Natural Sciences, University of Tabriz | ||
| چکیده [English] | ||
| Considering the quality of drinking water has an important role in human health, so the quality of aquifers as the main source of drinking water supply should be analyzed. The purpose of this study is to investigate the quality of groundwater used for drinking in the northeast of Bijar plain with GQI index using ArcGIS software. Study area of Bijar plain aquifer is one of the aquifers in the Kurdistan province that provides a drinking water source in a part of Bijar city and more than 12 villages. Drinking water quality index used four methods GQI, GQI-GA, GQI-FL-GA and GQI-FG was prepared for this aquifer and then in order to validate and compare the results of the four methods of correlation coefficient (r) and root mean square Error (RMSE) were used. Based on the obtained results, GQI-FL-GA method with correlation coefficient of 0.89 and RMSE 0.01 showed the best results and GQI-FG method with correlation coefficient of 0.86 and RMSE 0.11 presented the weakest results. According to the water quality index method, 91.2 percent of the plain has suiteble good quality and the remaining 8.8 percent of the region, which is mostly the northeastern parts (plain output) has acceptable quality. | ||
| کلیدواژه‌ها [English] | ||
| Bijar Plain, Fuzzy, Genetic algoritm, Water Quality Index | ||
| مراجع | ||
|
[1]. Kumar K.S, Kumar P.S, Babu M.J.R, Rao C.H. Assessment and mapping of ground water quality using geographical information systems. Int. Journal of Engineering Science and Technology. 2010; 2(11): 6035-6046. [2]. Anonymous. WHO. Guidelines for drinking water quality, 4th ed., Recommendations, World Health Organization, Geneva.2011. pp. 1-4. [3]. Anonymous. Iran Institute of Standards and Industrial Research. Drinking water - physical and chemical properties.2010 [In Persian]. [4].Babiker I. S, Mohamed M. A. A, Hiyama T. Assessing groundwater quality using GIS, Resources Management. 2007; 21 699–715. [5]. Rizman, R, and Gurdeep, S. Assessment of Ground water QUALITY status by using water quality index method in Orissa, India. World applied sciences journal. 2010; 9(12), 1392-1397. [6]. Asghari Moghadam A, Javanmard Z, Vediati M, Najib M. Assessing the quality of groundwater resources in Mehraban plain using GQI and FGQI methods. Journal of Hydrogiomorphology. 2015; 2(2):79-98 [in Persian]. [7]. Cheraghi Z, Sari Khani R, Farahpour M, Ghasemi Dehnavi A. Statistical evaluation and analysis of parameters and groundwater quality index for drinking water in Khorramabad region. Water Resources Engineering Quarterly. 2018; 39:1-14. [8]. Saadati H. Malekian, A. Moghaddam A. A. Vulnerability assessment and groundwater risk zoning in Ardabil plain. Journal of Water and Irrigation Management. 2020; 10(1): 157-171. [In Persian]. [9]. Mishra, N, jha, p. Fuzzy expert system for drinking water quality index. Recent research in science and technology. 2014; 6(1):122-125. [10]. Ding Y. R, Cai Y. J, Sun P. D, Chen B. The Use of Combined Neural Networks and Genetic Algorithms for Prediction of River Water Quality. Journal of applied research and technology. 2014; 2 (3):493-499. [11]. Naseri M, Tajrishi M, Niko M, Zahirpour J. Detection and spatial zoning of multivariate groundwater quality index using a combination of fuzzy methods. Journal of Water and Wastewater. 2013; 24(1): 82-93. [In Persian]. [12]. Jahangir M. Hagigi P. Sadati Nejhad S. Groundwater quality assessment for drinking water using fuzzy inference model (Case study: Marvdasht plain). Eco Hydrology. 2018; 5(2): 663 – 673. [In Persian]. [13]. Vadiati M, Asghari Moghadam A, Nakhaei M. Evaluation of groundwater quality for agricultural use using fuzzy inference model. Iranian Journal of Watershed Management Science and Engineering. 2017; 35:73-80 [In Persian]. [14]. Hounslow A. W. Water Quality Data: Analysis and Interpretation, CRC Press LCC, Lewis publishers, Chapter 2.1955; (4) 397. [15]. Jafari SM, Nikoo MR. Groundwater risk assessment based on optimization framework using DRASTIC method. Arab J Geosci.2016; 9: 742.
[16]. Niko M, Niko M, Babainejad T, Amiri A, Rostampour Q. Determination of water quality along the river route using evolutionary artificial neural network (Case study of Karun River, Shahid Abbaspour-Arab Assad area). Quarterly Journal of Water Science and Engineering - Islamic Azad University, Khuzestan Science and Research Branch. 2011; 1(1): 45-58. [In Persian].
[17]. Taheri F, Jafari H, Rezaei S. Selection of an appropriate operator for the fuzzy logic method in locating groundwater resources in the Hard Shirkuh Formation, Yazd. 20th International Conference on Iran. University of Tehran. 2016. [In Persian].
[18]. Yousefi, M. and Carrazana, E J.M. Fuzzification of continuous-value spatial evidence for mineral prospectively mapping. Computers and Geosciences. 2015; 74: 97-109. [19].Chebotarev I. "Metamorphism of natural waters in the crust of weathering" Geochimica et Cosmochimica Acta. 1955; 8(1): 22-483.
[20]. Lermontov A, Yokoyama L, Lermontov M, Machado M. A. S. River quality analysis using fuzzy water quality index: Ribeira do Iguape river watershed, Brazil. Ecological Indicators.2009; 20: 228-237.
[21]. Nasiri F, Maqsood. I, Huang G, Fuller N. Water Quality Index: A Fuzzy River-Pollution Decision Support Expert System. Journal of Water Resources Planing and Management.2007; 133(2): 95-105.
[22]. Rashid Sorkhabadi M, Shahidi A, Khashei Siouki A. Spatial analysis of groundwater quality in Zaveh plain for drinking use by combining GIS and hierarchical process. Journal of Irrigation and Water Engineering. 2014; 5. (1):96-109. [in Persian]. | ||
|
آمار تعداد مشاهده مقاله: 362 تعداد دریافت فایل اصل مقاله: 251 |
||