نوع مقاله : پژوهشی

نویسندگان

1 دانشکده منابع طبیعی و محیط زیست، دانشگاه ملایر، ایران

2 دانشیار دانشگاه ملایر

چکیده

استحصال آب باران روشی برای توسعه و بهره ­برداری از منابع آب در مناطق خشک و نیمه ­خشک با هدف افزایش کمیت و کیفیت منابع آب موجود است. هدف از این پژوهش تعیین عوامل مؤثر در مکان­یابی مناطق مستعد جمع ­آوری رواناب و استحصال آب باران (RWH) در حوضه­ ی آبریز سیاه­خور کرمانشاه با استفاده از روش تصمیم­ گیری چند­معیاره (MCDA)  و تحلیل شبکه ­ای ANP است. نتایج حاصل از روش تحلیل سلسله مراتبی­ و پهنه­بندی بارش حوضه نشان می­دهد که در 81/37 درصد از مساحت کل حوضه­، معیار هیدرولوژی نسبت به معیار­های فیزیکی و توپوگرافی به­ ترتیب 4/6 و 5/8 و معیار فیزیکی 2/3 برابر بر معیار توپوگرافی دارای ارجحیت است­. نتایج حاصل از بررسی نقشه ­ی پتانسیل استحصال آب باران نشان می­دهد که کلاس­ های ضعیف با 96/2­، نسبتاً ضعیف­ 49/35­، متوسط 06/26، نسبتاً خوب 2/29 و خوب با 29/6 درصد ­از سطح حوضه را شامل می­شوند­ و کلاس ­های ­متوسط ­و نسبتاً خوب و خوب جمعاً با 55/­61 درصد بیش­ترین درصد­ سطح حوضه ­را به­ خود اختصاص داده­ اند. بررسی­ ها نشان می­دهد که­ شیب ­های میانی جهت احداث سیستم ­های استحصال آب باران مناسب می­باشند. بطوری­که مشاهدات میدانی و نتایج حاصله از بررسی منحنی ROC، نشان می­دهد، اکثر 115 تکه جمع­ آوری آب باران ­در محل­  هایی قرار دارند که از لحاظ توپوگرافی و هیدرولوژی مناسب­ و بیش از 89در­صد مکان­ های جمع­  آوری آب باران در کلاس­ های­ متوسط­ و نسبتاً خوب و خوب واقع شده که این موضوع  ­بیانگر ارزیابی بسیار خوب مدل بوده و نشان می­دهد که تلفیق تکنیک تصمیم ­گیری چند­معیاره (MCDA) ­و تحلیل شبکه ­ای ANP ­و GIS می­تواند برای برنامه ­ریزی جمع­ آوری آب باران در مقیاس حوضه و زیرحوضه ابزار مفیدی ­باشد.

کلیدواژه‌ها

عنوان مقاله [English]

Determination of Effective Factors in Locating Runoff-prone Areas and Rainwater Extraction of Kermanshah Siahkhor Watershed

نویسندگان [English]

  • Fariba Darabi 1
  • Alireza Ildoromi 2

1 Faculty of Natural Resources and Environment, Malayer University, Iran

2 Associate Professor of Geomorphology, Faculty of Natural Resources and Environment, Malayer University

چکیده [English]

Rainwater harvesting is a way to develop the utilization of water resources in arid and semi arid regions with the aim of increasing the quantity and quality of water resources. The purpose of this study was to determine the factors influencing the location of areas susceptible to the construction of a rainwater harvesting network (RWH) in the‌ Siahkhore Watershed of Kermanshah using multi-criteria decision making (MCDA) and ANP network analysis. The results of the rainwater harvesting potential map show that poor classes with 2.96, relatively poor 35.49, average 26.06, relatively good 29.2 and good with 6.29 of the catchment area are included. and it indicates that the middle and relatively good and good middle classes with the highest percentage of area level with 61.55%.Field observations and results from the ROC curve show that most of the 115 rainwater harvesting plots are located in areas that are topographically and hydrologically appropriate, all of which are in relatively good, good, and moderate areas. And it represents a very good evaluation of the ANP model. Over 89% of rainwater harvesting sites are in the middle and relatively good and good classes It was found that the combination of Analytical Hierarchy Process (ANP) technique and GIS are useful tools for planning rainwater collection at basin and sub-basin scale.

کلیدواژه‌ها [English]

  • ROC curve
  • GIS
  • ANP
  • Siah- Khor Kermanshah
Akbarpour, A., Sadeghi, S., Foroughi Far, H., & Shahidi, A. (2015). Comparison of GIS-Based Decision Support System (DSS) Locating Predictable Rainfall Areas, Geography and Development, 39, 147 - 168.
Ammar, M. R., Mohamed, O., & Coen, R. (2015). A Methodology to Assess and Evaluate Rainwater Harvesting Techniques in­ (Semi-) Arid Regions.
Azizur, R.M., Rusteberg, B., Uddin M. S., Lutz, A., & Sauter, M. (2014). An integrated study of spatial multicriteria analysis and mathematical modelling for managed aquifer recharge site suitability mapping and site ranking at Northern Gaza coastal aquifer. Journal of Environmental Management, 124, 25-39.
Cobbinah, P.B., Okyere, D.K., Gaisie, E. (2019). Population growth and water supply: the future of Ghanaian cities. In: ­Megacities and Rapid Urbanization: Breakthroughs in Research and Practice. IGI Global, pp, 96-117.
Dokhani, S. (2016). Using multivariate regression model & GIS to Siteselection of Rain Water Harvesting (RWH), International Journal of Farming and Allied Sciences, 5(3), 238-242.
Farahpour, M. (2002). A planning support system for rangeland allocation in Iran. PHD thesis, Wageningen University, ITC Netherlands, 186p.
Ghafouri, S. (2008). Development and Management of Water Resources in Iran to Cope with Droughts, Third Iranian Water Resources Management Conference, Faculty of Civil Engineering, Tabriz University.10p.
Guizani, M. (2016). Storm Water Harvesting in Saudi­ Arabia:­ a  Multipurpose  Water Management Alternative. ­Journal of Water Resour Manage. 11269-016-1255-4.
Hejazi, A., & Marzbani, M. (2015). Estimation of Maximum Runoff Height and Discharge Using Curve Number Method Case Study: Sarab Darehshahr Watershed. Journal of Hydrogeomorphology, 2(5), 63-81.
Hernández-Guzmán. R., & Ruiz-Luna, A. (2013). SARA – An enhanced curve number-based tool for estimating direct runoff, Journal of Hydro informatics, 15, 881 - 887.
Keshavarz, A., Khashei seok, A., Najafi, M.H. (2013). Locate the appropriate extraction of drinking water using fuzzy hierarchical analysis (case study of the aquifer Birjand), Journal of Water and Wastewater, 25(5), 33-64.
Madan K. Jha., Chowdary, V.M., Kulkarni, Y., & Mal, B.C. (2014). Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis, Resources, Conservation and Recycling, 83, 96-111.
Naderi, M., Ildoromi, A., Nouri, H., Aghabeigi Amin, S., & Zeinivand, H. (2018). The Impact of Land Use and Climate Change on Watershed Runoff Model SWAT (Case Study: Watershed Garin). Journal of Hydrogeomorphology, 4(14), 23-42.
Nouri, Z., & Zareh Chahouki, M. A. (1979). Optimal Use of Rainwater an Appropriate Solution to Combat Dehydration in Arid and Semi-Arid Areas, Abou Sustainable Development Journal, Fifth Year, 1, 112- 115­.
Pilak, N., ­& ­Porporato, ­A. ­(2016). ­Sizing ­a rainwater harvesting cistern by minimizing costs. Journal of Hydrology, 541, 1340–1347.
Rahmati, A. (2013). Survey of Quantitative Status and Location of Groundwater Potential Areas (Case Study: Qorveh-Dehgolan Plain), MSc Watershed Engineering, Faculty of Natural Resources, University of Tehran, 96 p.
Sepehri, M., Malekinezhad, H., Ilderomi, A.R., Talebi, A., & Hosseini, S.Z. (2018). Studying the effect of rain water harvesting from roof surfaces on runoff and household consumption reduction Sustainable, cities and society, 43, 317-324.
Shereif, H., Mahmoud, X. (2015). Monitoring prospective sites for rainwater harvesting and stormwater management in the United Kingdom using a GIS-based decision support system, Environ Earth Sci,­ DOI 10.1007/s12665-015-4026-2, Springer-Verlag Berlin Heidelberg, 73(­12), 8621-8638.
Singh, L.K., Jha, M.K., & Chowdary, V. (2017). Multi-criteria analysis and GIS modeling for identifying prospective water harvesting and artificial recharge sites for sustainable water supply. Journal of cleaner production, 142, 1436-1456.
Xu, w. (­2018). Improving the multi- objective performance of Rain Water Harvesting system using real-time control technology. Water, 10, 147- 157.