محاسبه آب بدون درآمد و انتخاب بهترین روش کاهش آن با استفاده از تصمیم‌‌‌گیری گروهی؛ مطالعه موردی

نوع مقاله : یادداشت فنی (5 صفحه)

نویسندگان

1 دانشیار/ دانشکده مهندسی عمران. دانشگاه تبریز

2 دانش آموخته کارشناسی ارشد/ دانشکده مهندسی عمران .دانشگاه تبریز

3 دانش آموخته کارشناسی ارشد/ دانشکده مهندسی عمران . دانشگاه تبریز

چکیده

با توجه به اهمیت محاسبه و کنترل میزان آب بدون درآمد، ارائه راهکار جهت کاهش آن از اهمیت زیادی برخوردار بوده ولی با این وجود در کشور ما تحقیقات کاربردی کمتری به صورت مطالعه موردی انجام شده است. لذا در این تحقیق یکی از روستاهای استان آذربایجان شرقی به عنوان منطقه مورد مطالعه برای ارزیابی دقیق انتخاب گردیده است. ابتدا اطلاعات اولیه با پیمایش محلی (1150 کنتور) و نیز تست کنتورهای خانگی و کنتورحجمی اصلی روستا (بر اساس نشریه 556) بدست آمده است. همچنین میزان میانگین مصرف آب در هر ماه و خطاهای مربوط به هدررفت ظاهری برای منطقه مورد مطالعه بر اساس استاندارد انجمن جهانی آب (IWA) محاسبه شده است. سپس با استفاده از نتایج پیمایش محلی، رفتار مشترکین مشخص و تاثیر این رفتار در افزایش میزان هدررفت بررسی گردیده است. در گام بعدی با استفاده از روش تصمیم‌گیری گروهی بوردا با سه تصمیم گیر و از میان هشت روش مطرح، بهبود کنتورهای مشترکین به عنوان موثرترین راهکار برای کاهش میزان آب بدون درآمد به مدیر متولی در صنعت (جهت تعمیم به سایر روستاها) توصیه شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Assessment of non-revenue water and selection of the best reduction method by group decision making; Case Study

نویسندگان [English]

  • M Zarghami 1
  • M .R Sephidi 2
  • A Nikjoufar 3
1 Associate Professor, Faculty of Civil Engineering, University of Tabriz, Iran, mzarghami@tabrizu.ac.ir
2 M.Sc. graduate, Faculty of Civil Engineering, University of Tabriz, Iran
3 M.Sc. graduate.Faculty of Civil Engineering. University of Tabriz. Iran
چکیده [English]

According to the importance of water loss accounting and non revenue water, providing loss reduction practice is important. However few studies have investigated a real case study from Iran in detail. In this research, a village in Northwestern Iran was selected as a case study. In the first step, the data by comprehensive surveying (1150 connections) and testing some users and village main water meters (based on Iran 556 code) are collected. Then the monthly consumption and apparent losses were calculated based on IWA standard. Then based on the data, the behavior of the water users are evaluated and their effect on the water loss is evaluated. Therefore by using the Borda count method for group decision making problem on eight alternative solutions, the replacement and calibration of the water meters is selected as a best way to reduce the non-revenue water and results communicated for the decision maker in water sector.

کلیدواژه‌ها [English]

  • Non revenue water
  • Water loss
  • Group decision making
  • Shiramin village
Ambinjah A (1998) A review of water demand management practices in Kaduna City, Nigeria. MSc. Thesis, WEDC, Loughborough University, UK
Asian Development Bank (2007) Curbing Asia’s non-revenue water: Water brief; http://www.adb.org/water
Britton TC, Stewart RA, O’Halloran KR (2013) Smart metering: enabler for rapid and effective post meter leakage identification and water loss management. Journal of Cleaner Production 54:166-176
Francis RD, Guikema S, Henneman L (2014) Bayesian belief networks for predicting drinking water distribution system pipe breaks. Journal of Reliability Engineering and System Safety 130:1–11
Galván  XD, García RF, Izquierdo J, Rodríguez  JM (2010) An analytic hierarchy process for assessing externalities in water leakage management. Journal of Mathematical and Computer Modelling 52:1194-1202
Kingdom B, Liemberger R, Marin P (2006) The challenge of reducing non-revenue water (NRW) in developing countries. Water Supply and Sanitation Sector Board, Discussion Paper Series Paper
Mehrdadi N, Jalali F, Haghollahi A (2008) Discussion of unaccounted water due to errors caused by meters. Journal of Environmental Studies 34(48): 13-20 (in Persian)
Mons J (2010) Strategies for non-revenue water management in developing countries: A case study of Kampala, MSc. Thesis, Cranfield University, UK
Moraise DC, Almeida TD (2007) Group decision-making for leakage management strategy of water network. Journal of Resources Conservation and Recycling 52:441–459
Sadighi C, Zarghami M (2010) Selecting best method for flood management in Tabriz Mehranerud by using decision group methods. In: Proc. National Conference on Urban Flood Management. University of Tehran (in Persian)
Schouten M, Halim RD (2010) Resolving strategy paradoxes of water loss reduction: A synthesis in Jakarta. Journal of Resources Conservation and Recycling 54:1322–1330
Tabesh M, Asadiani Yekta AH (2006) A comprehensive model for managing the leakage in water network distributions. Journal of Civil and Surveying Engineering 44(1):1-12 (in Persian)
Tabesh M, Asadiani Yekta AH (2010) Performance evaluation of leakage in water network distributions. In: 7th International Civil Eng. Conference, Tarbiat Modarress University, Iran (in Persian)
Management and Planning Organization of Iran (2012) Guideline for determining effective parameters on unaccounted water and water losses reduction schemes. No.556 (in Persian).
Thornton J (2002) Water losses manual. McGraw Hill
Wyatt S (2010) Non-revenue water: Financial model for optimal management in developing countries. RTI Press Publication MR-0018-1006
Xu Q, Chen Q, Ma J, Blanckaert K (2013) Optimal pipe replacement strategy based on break rate prediction through genetic programming for water distribution network. Journal of Hydro-Environment Research 7:134-140
Xu Q, Liu R, Chen Q, Li R (2014) Review on water leakage control in distribution networks and the associated environmental benefits. Journal of Environmental Sciences 26:955–961