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مقایسۀ روشهای سیستم استنتاج فازی- عصبی تطبیقی (ANFIS)، وزندهی معکوس فاصله و زمینآمار در تخمین سطح ایستابی (مطالعۀ موردی: دشت دهگلان، استان کردستان) | ||
اکوهیدرولوژی | ||
مقاله 5، دوره 6، شماره 1، فروردین 1398، صفحه 51-64 اصل مقاله (953.01 K) | ||
نوع مقاله: پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ije.2018.264081.937 | ||
نویسندگان | ||
مهدی کرد* 1؛ نسرین یوسفی2؛ اسفندیار عباس نوینپور3 | ||
1استادیار گروه علوم زمین، دانشکدۀ علوم پایه، دانشگاه کردستان | ||
2دانشجوی کارشناسی ارشد رشتۀ هیدروژئولوژی، دانشگاه ارومیه | ||
3استادیار گروه زمینشناسی، دانشکدۀ علوم زمین، دانشگاه ارومیه | ||
چکیده | ||
افت سطح ایستابی از نظر مدیریتی بسیار اهمیت دارد و میتواند تأثیرات منفی مانند نشست زمین، افزایش هزینۀ برداشت و کاهش کیفیت آب زیرزمینی را در پی داشته باشد. آب زیرزمینی مهمترین منبع تأمین آب در دشت دهگلان بوده و برداشت زیاد، سبب کاهش سطح ایستابی در این دشت شده است. این دشت با وسعتی حدود 780 کیلومترمربع، یکی از دشتهای ممنوعۀ استان است و با افت سطح آبخوان نزدیک به 37 متر، بین دشتهای استان بیشترین افت را داشته است. هدف از پژوهش حاضر، مدلسازی سطح آب زیرزمینی و مقایسۀ عملکرد روش سیستم استنتاج فازی- عصبی تطبیقی با روشهای وزندهی معکوس فاصله، کریجینگ و کوکریجینگ است. به این منظور، از دادههای سطح ایستابی 44 حلقه پیزومتر دشت دهگلان مربوط به شهریور 1395استفاده شده است. نتایج بهدستآمده بیان میکند که رفتار بار هیدرولیکی در قسمتهای مختلف آبخوان، متفاوت است و در نتیجه بهکارگیری صرف دادههای مکانی بار هیدرولیکی برای مدلسازی، نتایج رضایتبخشی ندارد. سطح ایستابی در دشت دهگلان، با توپوگرافی بیشترین همبستگی را دارد و سیستم استنتاج فازی- عصبی تطبیقی با بهکارگیری پارامتر کمکی توپوگرافی دارای 07/0RMSE=، 005/0MSE=، 06/0MAE=، 04/0MBE= و 88/0=R2 بوده و نسبت به سایر روشها عملکرد بهتری داشته است. | ||
کلیدواژهها | ||
آب زیرزمینی؛ استنتاج فازی- عصبی تطبیقی (ANFIS)؛ دشت دهگلان؛ زمینآمار | ||
عنوان مقاله [English] | ||
Comparison of Adaptive Neuro-Fuzzy Inference System (ANFIS), Inverse Distance Weighting and Geostatistics Methods for Estimating the Water Table (Case Study: Dehgolan Plain, Kurdistan Province) | ||
نویسندگان [English] | ||
Mehdi Kord1؛ Nasrin Yuosefi2؛ Esfandiar Abbas Novinpour3 | ||
1Assistant Professor, Department of Earth Science, Faculty of Science, University of Kurdistan | ||
2M.Sc. of Hydrogeology, Department of Geology, Faculty of Sciences, Urmia University | ||
3Assistant Professor, Department of Geology, Faculty of Sciences, Urmia University | ||
چکیده [English] | ||
The decline of water table is very important in from a managerial point of view and might cause negative impacts such as land subsidence, raising costs and reducing groundwater quality. Groundwater is the most important source of water supply in Dehgolan plain. Increasing water requirements and extractions, has declined water table. This plain with an area of about 780 km2 is one of the protected plains of the Kurdistan province and with decrease in water table about 37 meters, it has the most decline between the plains of the province. The purpose of this study is to model the groundwater level and compare the performance of the method of Adaptive Neuro-Fuzzy Inference System (ANFIS) with Inverse Distance Weighted (IDW), Kriging and Cokriging methods. For this purpose, in September 2016, the water table data relating to the 44 Piezometer digged in Dehgolan plain has been used for modeling. The results show that the hydraulic head behavior is different across the aquifer, so the use of spatial data (h) for modeling doesn’t lead to satisfactory outputs. The water table in Dehgolan plain has the highest correlation with topography conditions and the ANFIS with a RMSE = 0.07, MSE = 0.005, MAE = 0.06, MBE = 0.04 and = 0.88 R2, has presented better performance than other methods. | ||
کلیدواژهها [English] | ||
Dehgolan Plain, Groundwater, adaptive neuro-fuzzy inference system (ANFIS), Geostatistics | ||
مراجع | ||
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