بهینه‌سازی مدل دراستیک و سینتکس در ارزیابی آسیب‌پذیری آبخوان دشت شبستر

نوع مقاله : پژوهشی

نویسندگان

1 دانشجوی کارشناسی ارشد هیدروژئولوژی، دانشکدۀ علوم طبیعی، دانشگاه تبریز

2 استاد، دانشکدۀ علوم طبیعی، دانشگاه تبریز

3 دانشجوی دکتری هیدروژئولوژی، دانشکدۀ علوم طبیعی، دانشگاه تبریز

چکیده

دشت شبستر منطقۀ فعالی از نظر کشاورزی است و استفاده از منابع آب زیرزمینی در آن به‌علت کمبود آب سطحی اهمیت بسیار زیادی دارد. رشد روزافزون جمعیت و فعالیت‏های صنعتی و کشاورزی و به تبع پسماندهای ناشی از آنها، احتمال آلودگی این آبخوان را افزایش می‌دهد. بنابراین، ارزیابی آسیب‏پذیری آبخوان این دشت برای توسعه، مدیریت و تصمیم‌های کاربری اراضی، چگونگی پایش کیفی منابع آب زیرزمینی و جلوگیری از آلودگی این منابع، بسیار مفید است. در مطالعۀ حاضر به‌منظور ارزیابی آسیب‏پذیری آبخوان دشت شبستر از روش دراستیک و سینتکس استفاده شده است. با توجه به اینکه رتبه‏ها و وزن‏های مدل‏های آسیب‏پذیری تا حدودی به نظر کارشناسی مربوط است، برای بهبود رتبه‏ها در هر دو مدل دراستیک و سینتکس از روش ویلکوکسن و به‌منظور بهینه‏سازی وزن‏ها، از روش آماری ساده و الگوریتم ژنتیک استفاده شد. در نهایت، مدل‏های بهینه‌شدۀ ویلکوکسن-آماری- دراستیک-، ویلکوکسن-الگوریتم‏ ژنتیک- دراستیک-، ویلکوکسن-آماری- سینتکس و ویلکوکسن- الگوریتم ژنتیک- سینتکس ساخته شد. در تمام مدل‏های بهینه‏سازی ضریب تعیین بین غلظت نیترات و شاخص آسیب‏پذیری مربوط به آن نسبت به مدل اولیه افزایش یافت. ضریب تعیین بالاتر مدل سینتکس-ویلکوکسن-الگوریتم‏ ژنتیک (46/0=) نسبت به دیگر مدل‏های بهینه‌شده نشان‌دهندۀ کارایی بهتر آن در منطقۀ مطالعه‌شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Optimization of the DRASTIC and SINTACS Models in Assessing the Vulnerability of the Shabestar Plain Aquifer

نویسندگان [English]

  • Fatemeh Kadkhodaie 1
  • Asghar Asghari Moghaddam 2
  • Rahim Barzegar 3
  • Maryam Gharekhani 3
1 MSc. Student in Hydrogeology, Faculty of Natural Sciences, University of Tabriz
2 Professor in Hydrogeology, Faculty of Natural Sciences, University of Tabriz
3 Ph.D. Student in Hydrogeology, Faculty of Natural Sciences, University of Tabriz
چکیده [English]

Shabestar plain is an active agricultural area and the utilization of groundwater resources is extremely important due to the shortage of surfaces water resources. Increasing of population and technological and agricultural activities possibly causes the aquifer contamination in this area. Therefore, assessing the groundwater vulnerability of this aquifer will be very useful for development, management and land use decisions, to monitoring of the groundwater resources quality and preventing the contaminations of groundwater resources. In this study DRASTIC and SINTACS methods were used to assess the vulnerability of the Shabestan plain aquifer. Considering that the ratings and weights of the DRASTIC and SINTACS models are somewhat expertly Wilcoxon rank-sum test (WRST) method was used to improve the ratings in both the models and in order to optimize weights, simple statistical (SS) and genetic algorithm(GA) methods were used. Finally, the optimized WRST-SS-DRASTIC, WRST-GA-DRASTIC, WRST-SS-SINTACS, WRST-GA-SINTACS models were made. In all optimization models, the determination coefficient between the nitrate concentration and the vulnerability index was increased relative to the original model. The higher determination coefficient of the WRST-GA-SINTACS model than other optimized models represents the better performance of this optimized model in the study area.

کلیدواژه‌ها [English]

  • Vulnerability
  • Shabestar
  • DRASTIC
  • SINTACS
  • Optimization
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