بررسی و آنالیز مدل آسیب‌پذیری آبخوان با استفاده از توابع متعامد تجربی و تحلیل خوشه‌ای

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دانشگاه تهران

2 دانشجو

3 عضو هیئت علمی

چکیده

یکی از مدل‌های متداول در برآورد میزان آسیب‌پذیری آبخوان، مدل DRASTIC است. این مدل شامل هفت پارامتر، عمق تا سطح ایستابی، تغذیه خالص به آبخوان، زمین‌شناسی ناحیه اشباع، قشر خاک سطحی، شیب، اثر ناحیه غیراشباع و هدایت هیدرولیکی آبخوان است. در این مقاله پارامتر این مدل استخراج گردیده و درازای استفاده از ترکیب خطی لایه‌ها جهت تقریب میزان آسیب‌پذیری از تحلیل مؤلفه‌ها اساسی (PCA) به‌عنوان روش جایگزین استفاده شده است. مزیت این روش برآورد اوزان مناسب و اصلاح‌شده لایه‌ها و تخمین مناسب میزان آسیب‌پذیری با توجه به در نظر گرفتن واریانس حداکثری مؤلفه‌های مدل آسیب‌پذیری است. در مطالعه صورت گرفته مدل آسیب‌پذیری آبخوان دشت قروه-دهگلان با استفاده از روش تحلیل مؤلفه‌های اساسی استخراج و به‌وسیله متدهای تحلیل خوشه‌ای (CA) تفکیک گردید. درنهایت نیز با استفاده از روش ارزیابی، کارایی خوشه‌بندی Dunn، اقسام خوشه‌بندی‌های صورت گرفته مورد آزمون قرار گرفت و بهترین روش نیز معرفی گردید. در این مطالعه مؤلفه اول 5/72 درصد از واریانس کل داده‌ها را توجیه نموده و روش خوشه‌بندی Single نیز به‌عنوان بهترین روش برای کاربردی کردن نتایج حاصل از این تحقیق معرفی گردید.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Evaluation and Analysis of Groundwater Vulnerability Using Empirical Orthogonal Functions and Cluster Analysis

نویسندگان [English]

  • Ammar Habibi kandbon 1
  • Rezgar Arabzadeh 2
  • Afshin Ashrafzadeh 3
چکیده [English]

DRASTIC is known as the most prototype models of groundwater vulnerability assessment. The DRASTIC constitutes from seven schematic parameters consisting: Depth to groundwater, Recharge to aquifer, Aquifer geology, and surface Soil texture, Impact of vadoze zone and hydraulic Conductivity. In this study the models parameters were extracted by the main schematic maps of model. Instead using the linear combinations of parameters by the proposed weights of model, a principal component analysis (PCA) also known as empirical orthogonal function, was taken into account for assessing a more reasonable and accurate value for aquifer vulnerability. The advantage of this approach is accurate derivation of model weights and consideration of the maximum model parameters variances affecting groundwater system vulnerability. In the current study the models parameters evaluated for Qorveh-Dehgolan aquifer and the groundwater vulnerability of this site assessed using PCA. Eventually the first component (PC1) scores clustered using different Clustering Analysis (CA) and the best method delineated by Dunn cluster validation technique. PCA Results showed a large value of variance justification by PC1 equal to 72.5 percent. Also Dunn validation technique delineated the Single method as the best clustering manner.

کلیدواژه‌ها [English]

  • Groundwater
  • vulnerability
  • PCA
  • CA
  • Qorveh-Dehgolan
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