| تعداد نشریات | 285 |
| تعداد نشریات سازمان | 83 |
| تعداد شمارهها | 3,087 |
| تعداد مقالات | 34,477 |
| تعداد مشاهده مقاله | 49,207,090 |
| تعداد دریافت فایل اصل مقاله | 79,676,287 |
ارزیابی توان زیستبومی کشاورزی آبی با روش های فعلی و مدل جدید EMOLUP در شهرستان فیروزآباد | ||
| پژوهش های آبخیزداری | ||
| مقاله 4، دوره 35، شماره 1 - شماره پیاپی 134، فروردین 1401، صفحه 28-39 اصل مقاله (1.73 M) | ||
| نوع مقاله: پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/wmrj.2021.354720.1416 | ||
| نویسندگان | ||
| المیرا اسدی فرد1؛ مسعود مسعودی* 2 | ||
| 1دانشآموختهی کارشناسی ارشد مهندسی منابع طبیعی- مدیریت مناطق بیابانی، بخش مهندسی منابع طبیعی و محیط زیست، دانشکدهی کشاورزی، دانشگاه شیراز | ||
| 2دانشیار بخش مهندسی منابع طبیعی و محیط زیست، دانشکده کشاورزی، دانشگاه شیراز | ||
| چکیده | ||
| ارزیابی توان زیستبومی سرزمین یا سنجش توان سرزمین قدمی پیش از بهرهبرداری است. فیروزآباد یکی از شهرستانهای استان فارس است که اقتصاد عمدهی آن برپایهی کشاورزی است. هدف اصلی این تحقیق ارزیابی توان زیستبومی برای کشاورزی آبی در شهرستان فیروزآباد برپایهی رویکرد اصلاحی مدلهای فعلی و دادن مدل جدید EMOLUP (مدل زیستبومی و اقتصادی- اجتماعی برنامهریزی بهرهگیری زمین) با جیآیاس است. برای انجام ارزیابی از روشهای رایج کشور از جمله روشهای مخدوم، بیشینهی محدودیت، میانگینحسابی، مدل EMOLUP با بهرهگیری از میانگین هندسی، میانگینحسابی وزنی ساده و میانگینحسابی وزنی (شاخصی و معیاری) توأم با در نظرگرفتن عاملهای محدودیتزا بهره گرفتهشد. برای افزایش دادن دقت ارزیابی کاربری کشاورزی آبی، شاخص تخریب اندوختههای آب و خطر خشکسالی نیز اضافه شد. نتیجههای اعتبارسنجی نشان داد که مدل EMOLUP در میان سایر مدلها بیشترین اندازهی دقت کلی (95/82) و ضریب کاپا (0/915) و ضریب درون طبقهیی (10/20) و درستی میانگین (96/36) را گرفت. روش میانگینحسابی شاخصی و روش میانگینحسابی شاخصی وزنی ساده کمترین دقت کلی میان همهی روشها را نشان داد. در کل، با اضافه کردن این دو شاخص و با مدل EMOLUP و ارزیابی شاخصهای دقت با واقعیت زمینی میتواننتیجهگیریکرد که فرآیند طبقهبندی ارزیابی توان زیستبومی با این روش منطقیتر از سایر روشهای رایج در کشور است. | ||
| کلیدواژهها | ||
| مدل بیشینهی محدودیت؛ مدل مخدوم؛ مدل EMOLUP؛ مدل میانگین حسابی | ||
| عنوان مقاله [English] | ||
| Ecological Potential Evaluation for the Irrigated Agriculture Using the Current Models and the New Model of EMOLUP for the Firozabad County | ||
| نویسندگان [English] | ||
| Elmira Asadifard1؛ Masoud Masoudi2 | ||
| 1M.Sc. Graduate Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University | ||
| 2Associate Professor of Department of Natural Resources and Environmental Engineering, School of Agriculture, Shiraz University | ||
| چکیده [English] | ||
| The process of assessing the ecological potential of the land, or measuring the potential of the land, is an important step before implementation. The Firoozabad Township is located in the Province of Fars. Irrigated farming provides the major income for this township. The main purpose of this research was to evaluate the ecological potential for irrigated agriculture in the Firoozabad Township based on the corrective approach of the current models and to present a new EMOLUP model (Eco- Socioeconomic Model of Land Use Planning) using the GIS. To evaluate the popular models, namely: the including Makhdoom, maximum limitation, arithmetic mean, EMOLUP model using the geometric mean, simple weight arithmetic mean (based on indicator and criteria), weight arithmetic mean (based on indicator and criteria) with considering a limiting factor was used for an assessment. To increase the accuracy of irrigated agriculture utilization, the indexes of water resources degradation and the drought risk were also added. The results indicated that the EMOLUP model had the highest overall accuracy (95.82), kappa coefficient (0.915), in-class coefficient (10.20), and average accuracy (96.36) among all of the used models. The simple indicator arithmetic mean and the simple weighted indicator arithmetic mean models showed the lowest overall accuracy among all methods. By adding these two indicators, using the EMOLUP model, and evaluating accuracy indicators with ground reality, it may be concluded that the process of classifying ecological potential assessment with the above method is more logical than other common methods used in this country. | ||
| کلیدواژهها [English] | ||
| Arithmetic mean model, EMOLUP model, Makhdoom model, maximum limitation model | ||
| مراجع | ||
|
Ahmadi H. 2005. Report of intensity desertification model by use of the proposed model IMDPA. University of Tehran Publications. Tehran. 268 p. (In Persian). Amiri M, Salman mahini A, Jalali Gh, Hoseni M, Azari dekordi F. 2009. A comparison of maps overlay systemic method and boolean-fuzzy logic in the ecological capability evaluation of no. 33 and 34 Watershed Forests in Northern Iran. Journal of Environmental Sciences. 7(2):109–124. (In Persian). Asadifard E, Masoudi M, Afzali F, Fallah Shamsi R. 2017. Ecological capability evaluation for rainfed agriculture in Firuzabad Township Basing on the current models and new EMOLUP model by using GIS. The 7th National Conference on Sustainable Agriculture and Natural Resources. Tehran. 1–9. (In Persian). Asadifard E, Masoudi M, Afzali F, Fallah Shamsi R. 2018. Ecological potential evaluation range landuse using the current models and the new model of EMOLUP in Firozabad Township. Journal of Rangeland.13(1): 14–25. (In Persian). Asadifard E, Masoudi M. 2019. Ecological potential evaluation of forestry by using common evaluation models and new EMOLUP model in Firozabad. Iranian Journal of Forest and Range Protection Research.17(2):145–160. (In Persian). Asrari E, Masoudi M, Afrough E. 2011. Analyzing spatial and temporal pattern of humid, normal and drought years using percent of normal precipitation index (PNPI) in Fars Province, Iran. Journal of Applied Sciences in Environmental Sanitation. 6(3):299–308. Bagher zadeh HR, Bagher Zadeh A, moein Red H. 2012. Qualitative evaluation of land suitability of Nishapurs plain for wheat (triticum aestimm L.), maize (zea mays L.) and Cotton (Gossy pium herba ceum L.) planting using by GIS. Journal of Agroecology. l4 (1): 41–51. (In Persian). Congalton RG. 1991. A review of assessing the accuracy of classifications of remotely sensed data. Journal of Remote Sensing of Environment. 37( 1): 35–46. F.A.O. 1976. A framework for land evaluation. FAO soil’s bulletin. Rome. (Italy). 70 p. Holben BN. 1976. Characteristics of maximum value composite images from temporal AVHRR data. International Journal of Remote Sensing. 7(11): 1417–1434. Jokar P, Masoudi M. 2016. Land suitability for urban and industrial development by a proposal model, case study: Jahrom Township, Iran. Journal of Enviormental Studies. 42(1): 135–149. (In Persian). Khosravi Y, Kalantare M, Kohestani N. 2012. Spatial analysis of the degree of land suitability for agricultural and natural resources activities using FAO Model and GIS. Journal. of Conservation and Utilization of Natural Resources.1(3):9–29. (In Persian). Langerodi H, Nasire H, Azizi A, Mostafayi A. 2012. Modeling to assess the ecological potential for agricultural and rangeland landuse by using Fuzzy AHP in GIS. Journal of Town and Country Planning. 4(6):101–124. (In Persian). Makhdoum M. 1999. Fundamental of land use planning. University of Tehran Publications. Tehran. 289 p. (In Persian). Masoudi M, Asadifard E. 2015. A new model for ecological suitability assessment of ecotourism in Firuzabad township, Iran. International Journal of Scientific Research in Knowledge. 3(6): 153–161. Masoudi M, Jokar P. 2016 a. Suggestion the proposed model of EMOLUP, with new approach in land use planning (Step one: ecological capability evaluation for different land uses). Journal of Environmental Sciences. 14(1): 51–68.(In Persian). Masoudi M, Jokar P. 2016 b. Suggestion the proposed model of EMOLUP, with new approach in land use planning (Step two: prioritizing for different land uses). Journal of Environmental Sciences. 14(2): 23–36. (In Persian). Masoudi M. 2018. Land use planning using computer. Payame Noor University Publications. Tehran. 212 p. (In Persian). Mirdavoodi H, Zahedi H, Moradi H, godarzi Gh. 2007. Determination of agricultural and rangeland ecological capability of markazi using GIS. Journal of Iranian Journal of Range and Desert Reseach. 15(2):242–255. (In Persian). Nasrollahi N, Kazemi H, Kamkar B, Sadeghi S. 2014. Assessment of the ecological for agricultural landuse in Agh ghla (In Golestan) for grow wheat by GIS. Journal of Agronomy. 29(1):83–94. (In Persian). Office of Statistics Agriculture Fars province. 2010. Landscape section of agriculture of cities of Fars Province. Department of Planning and Economic. Statistics Office. Fars. 268 p. (In Persian). Porkhabaz H, Aghdar H, Mohamadyari F, rahemi V. 2014. Implementation of ecological agriculture model by use of AHP and FAHP in GIS (Case study:Khaniz Bebahan). Journal of Spatial Planning. 18(4):21–48. (In Persian). | ||
|
آمار تعداد مشاهده مقاله: 624 تعداد دریافت فایل اصل مقاله: 743 |
||