تحلیل شوری و پهنه بندی کیفیت آبهای زیرزمینی با استفاده از تکنیک تجزیه به مولفه های اصلی، مطالعه موردی : دشت خفر

فصلنامه علمی مهندسی منابع آب

دوره 15، شماره 54، آبان 1401، صفحه 1-18   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.30495/wej.2021.26939.2287

نویسندگان

هما رزمخواه^{* 1}؛ عیسی محمدی²؛ امین رستمی راوری¹؛ علیرضا فرارویی¹

¹استادیار گروه مهندسی آب، واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، ایران.

²دانش آموخته کارشناسی ارشد رشته آبیاری و زهکشی، گروه مهندسی آب، واحد مرودشت، دانشگاه آزاد اسلامی، مرودشت، ایران.

تاریخ دریافت: 08 دی 1399،  تاریخ بازنگری: 22 اردیبهشت 1400،  تاریخ پذیرش: 10 شهریور 1400 

چکیده

چکیده
مقدمه: توجه به تغییرات کمی وکیفی منابع آب زیرزمینی، به خصوص در مناطق خشک و نیمه خشک ضروری است. این تحقیق با هدف تحلیل علل شوری و پهنه بندی کیفی آب زیرزمینی دشت خفر، تعیین نقاط آلوده و بررسی دلایل آن انجام گرفت.
روش­: بدین منظور برای میانگین سالانه داده های فصل های بهار و پاییز مولفه های اصلی آلودگی آب زیرزمینی استخراج شد. سپس مدل های منحنی پوش (Splin) ، عکس فاصله (IDW) و کریجینگ (Kriging) جهت ارزیابی درون یابی استفاده و مناسب ترین مدل با استفاده از تکنیک اعتبارسنجی متقاطع و معیارهای ارزیابی میانگین مطلق مربعات خطا و ریشه دوم میانگین مربعات خطا تعیین و نقشه های پهنه بندی کیفیت تهیه شد.
یافته ­ها: در ارزیابی روشهای درون یابی پاییز مدل کریجینگ رتبه اول دقت درون یابی را به خود اختصاص داد. نقشه پهنه بندی مولفه های اصلی استخراجی پاییز بالاترین مقدار مولفه اول (سختی، پتاسیم، منیزیم، کلسیم، سولفات، TDS و EC) را در جنوب شرقی و مرکز دشت نشان داد. بیشترین مقدار مولفه دوم (سدیم قابل جذب، کلر و سدیم) نیز در جنوب شرقی دشت دیده شد. مولفه سوم (PH) از مرکز دشت به سمت شمال و شمال غربی افزایش، و از مرکز به طرف جنوب و جنوب شرق کاهش داشت. مولفه چهارم (بیکربنات) بیشترین مقدار را در شمال و کمترین میزان را در جنوب شرقی دشت نشان داد. در بین روشهای درون یابی فصل بهار مدل منحنی پوش به عنوان مدل برتر شناخته شد. نقشه پهنه بندی بیشترین مقدار مولفه اول (کلر، سدیم و سدیم قابل جذب) را در جنوب شرقی دشت نشان داد. مولفه دوم (کلسیم و منیزیم و سختی) مقادیر بالایی را عمدتا در مرکز دشت، مولفه سوم (PH) بیشترین مقادیر را در غرب دشت، و مولفه چهارم (بیکربنات) بیشترین مقادیر را در مرکز و شمال غربی دشت نشان داد.
نتیجه­ گیری: تغییرات مکانی پهنه بندی آلاینده ها در فصول مختلف می تواند به علت تغییرات فصلی عوامل هیدروکلیماتولوژی نظیر بارندگی و تبخیر، بهره برداری از چاه ها و یا نفوذ پسابهای صنعتی باشد. بررسی نسبت کلر به بی کربنات نمونه ها موید ورود رواناب شور گنبدهای نمکی خاوران به جنوب شرقی منطقه است.

کلیدواژه‌ها

تجزیه به مولفه های اصلی؛ درون یابی؛ پهنه بندی کیفیت آب زیرزمینی؛ کریجینگ

عنوان مقاله [English]

Salinity Assessment and Ground Water Quality Mapping Using Principle Component Analysis, Case study: Khafr Plain

نویسندگان [English]

Homa Razmkhah¹؛ Easa Mohammadi²؛ Amin Rostami Ravary¹؛ Alireza Fararoui¹

¹Associate Prof. of Water Science and Engineering Department, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.

²Former M.Sc. Student of Irrigation and Drainage, Water Science and Engineering Department, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.

چکیده [English]

Abstract
Introduction: Assessment of groundwater quality and quantity variation in drought and semi-drought region are of most interest especially in Iran. This research is going to analysis salinity reasons by ground water quality mapping in the Khafr plain.
Methods: To do this the principal components of water quality extracted in spring and autumn seasons. Then Spline, IDW and Kriging interpolation techniques were fitted and evaluated for mapping. Finally, the best model was determined and ground water quality mapped using principle components.
Findings: Kriging recognized as the best model for autumn. The first component with high coefficients on TH, K, Mg, Ca, SO4, TDS, EC showed maximum values in the center and eastern south of the region. For the second component (SAR, Cl, Na) maximum values observed at the eastern south as well. The third component (PH) increased from center to the north and western north and decreased from center to the south and eastern south, and for the Forth (HCO3) maximum observed at the north and minimum in the eastern south. Spline method recognized as the best model in spring season. The first component (SAR, Cl, Na) showed maximum values in the eastern south of the region. The second (Th, Mg, Ca) maximum values observed at the center and the third component (PH) maximums in the west. Forth component (HCO3) maximum valued observed in the center and western north. Finally, the reasons of spatial and temporal variation of the components analyzed.

کلیدواژه‌ها [English]

Interpolation, Ground water quality mapping, Kriging, Principal Component Analysis

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