پهنه‌بندی نوسانات کیفی فاضلاب در شبکه جمع‌آوری شهر بیرجند
محورهای موضوعی : راه حل های موثر و قابل توسعه برای کنترل و حذف آلودگی های محیطی
هومن بهمن پور
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فرخنده احراری
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1 - گروه مهندسی ایمنی، بهداشت و محیط زیست (HSE)، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
2 - کارشناس ارشد مهندسی شیمی، واحد شاهرود، دانشگاه آزاد اسلامی، شاهرود، ایران
کلید واژه: شبکه فاضلاب, درون‌یابی, پهنه‌بندی فاضلاب, شهر بیرجند,
چکیده مقاله :
هدف از این تحقیق، بررسی وضعیت کیفی شبکه فاضلاب شهر بیرجند و ترسیم مدل پهنه‌بندی مربوط به آن بوده است. در طی سه دوره نمونه‌برداری، ۱۰ پارامتر کیفی در 19 نقطه از شبکه فاضلاب شهری اندازه‌گیری شد. پس از تحلیل آماری داده‌ها به منظور استفاده از روش‌های درون‌یابی، تحلیل واریوگرام با استفاده از نرم‌افزار GS+ انجام شد و با استفاده از نرم‌افزار ArcGIS 10.1 و جعبه ابزار Geostatistical Analyst پهنه‌بندی مناسب با استفاده از روشCross Validation انجام گرفت. به منظور انتخاب روش مناسب بین داده‌های برآورد شده در شبکه فاضلاب با مقادیر واقعی آنها از دو روش آماری تحلیل حساسیت انجام پذیرفت. همبستگی میان داده‌ها به روش اسپیرمن صورت گرفت که در کلیه موارد دقت روش بیزین کریجینگ را در پهنه‌بندی بالاتر از سایر روش‌ها برآورد نمود. نتایج نشان داد دو پارامتر نیتریت و هدایت الکتریکی روند کاهشی و سایر پارامترها روند افزایشی داشته‌اند. نتایج پهنه‌بندی با استفاده از روش کریجینگ بیزین در شبکه فاضلاب حاکی از بالا بودن غلظت BOD و COD در منطقه شمال شهر، بالا بودن میزان EC، افزایش نیترات، کاهش نیتریت، بالا بودن TDS و pH در انتهای شبکه فاضلاب بود. براساس نتایج بالا بودن غلظت BOD و COD در شبکه فاضلابرو مشخص می‌شود که تجزیه مواد آلی به کندی انجام شده و به منظور تسریع بخشیدن در تجزیه بیولوژیکی اعمال راهکارهای مدیریتی به ویژه اصلاحات در سیستم هیدرولیکی در شبکه فاضلاب شهر بیرجند بسیار ضروری و مهم می‌باشد تا از این طریق بتوان فرآیند تصفیه را زودتر آغاز کرد.
This research aimed to investigate the quality status of the Birjand city wastewater network and develop a zoning model. Over three sampling periods, 10 quality parameters were measured at 19 points within the urban wastewater network. Following statistical analysis, variogram analysis was conducted using GS+ software to facilitate interpolation methods. Appropriate zoning was then performed using the Cross Validation method with ArcGIS 10.1 software and the Geo-statistical analyst toolbox. To determine the most suitable estimation method, sensitivity analysis was conducted using two statistical approaches. Correlation analysis was performed using the Spearman method, which consistently demonstrated the superiority of the Bayesian Kriging method in zoning accuracy over other methods. The zoning results obtained through Bayesian Kriging indicated high BOD and COD concentrations in the northern region of the city, along with elevated EC levels, increased nitrate, decreased nitrite, and high TDS and pH at the endpoint of the sewage network. The presence of high BOD and COD concentrations suggests slow organic matter decomposition. To accelerate biological decomposition, implementing management solutions, particularly hydraulic system improvements in the sewage network of Birjand, is crucial to initiating the treatment process earlier.
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