| تعداد نشریات | 286 |
| تعداد نشریات سازمان | 84 |
| تعداد شماره‌ها | 2,997 |
| تعداد مقالات | 33,571 |
| تعداد مشاهده مقاله | 44,200,107 |
| تعداد دریافت فایل اصل مقاله | 20,558,065 |
ارزیابی توانایی اراضی برای کشت گیاه چغندرقند بهاره با استفاده از فناوری‌های زمین مرجع (مطالعه موردی: اراضی زراعی استان لرستان) | ||
| چغندرقند | ||
| مقاله 8، دوره 39، شماره 2، مهر 1402، صفحه 209-222 اصل مقاله (1.04 M) | ||
| نوع مقاله: کامل علمی - پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22092/jsb.2024.364298.1341 | ||
| نویسنده | ||
| حسین پورهادیان* | ||
| گروه کشاورزی، دانشگاه پیام نور، تهران، ایران | ||
| چکیده | ||
| شناخت توانایی اراضی هر منطقه بسترساز اجرای الگوی‌کشت و استفاده بهینه از شرایط محیطی است. هدف اصلی این مطالعه شناسایی توانایی اراضی زراعی استان لرستان برای کشت بهاره چغندرقند است. در این پژوهش از ترکیب فرآیند تحلیل شبکه‌ای (ANP)، منطق فازی و سامانه‌ی اطلاعات جغرافیایی (GIS) استفاده شد. در مجموع از 15 عامل شامل: شش عامل اقلیمی، سه عامل توپوگرافی و شش عامل خاک برای شناسایی مکان‌های بالقوه مناسب کشت چغندرقند استفاده گردید. بدین‌صورت که پس از انتقال اطلاعات عوامل به محیط سامانه اطلاعات جغرافیایی لایه رستری آنها تهیه شد و سپس به کمک منطق فازی براساس نیاز اکولوژیکی چغندرقند، فازی‌سازی شدند. به‌منظور تعیین ارزش وزنی هر معیار، از رویکرد فرآیند تحلیل شبکه‌ای استفاده شد. در نهایت لایه‌های نهایی به کمک ترکیب لایه‌های وزن‌دار تولید شدند و به چهار طبقه خیلی مناسب، مناسب، ضعیف و نامناسب تقسیم گردیدند. در نتایج مشخص شد که 21/04 درصد از کل مساحت مورد مطالعه برای کشت چغندرقند در پهنه خیلیمناسب و 76/75 درصد در پهنه مناسب واقع شد و پهنه‌های ضعیف و نامناسب به‌ترتیب 4/18 و0/03 درصد به خود اختصاص دادند. از عوامل اقلیمی: دمای بیشینه (27/02 درصد) و بارش مؤثر (15/55 درصد)، توپوگرافی: جهت شیب (50/19 درصد) و شیب (18/55 درصد) و خاک: نیتروژن کل (99/99 درصد)، ماده آلی (100درصد) و فسفر قابل‌دسترس (29/39 درصد) بیشترین محدودیت (پهنه ضعیف و نامناسب) برای کشت چغندرقند بهاره در اراضی مورد مطالعه ایجاد کردند. | ||
| کلیدواژه‌ها | ||
| تناسب‌بندی؛ چغندرقند بهاره؛ منطق فازی؛ ANP؛ GIS | ||
| عنوان مقاله [English] | ||
| Evaluation of land potential for spring sugar beet cultivation using geospatial technologies (Case study: agricultural lands of Lorestan province) | ||
| نویسندگان [English] | ||
| hossein pourhadian | ||
| Department of Agriculture, Payame Noor University, Tehran, Iran | ||
| چکیده [English] | ||
| Identifying the potential of the lands of each region is the basis for the implementation of cultivation pattern and the optimal use of environmental conditions. The main goal of this study was to identify the potential of agricultural lands in Lorestan province for spring sugar beet cultivation. In this research, the combination of network analysis process (ANP), fuzzy logic and geographic information system (GIS) was used. In total, 15 factors including six climatic factors, three topographical factors and six soil factors, were used to identify suitable potential sites for sugar beet cultivation. Thus, after transferring the criteria information to the GIS environment, their raster layer was prepared and then they were fuzzy based on the ecological needs of sugar beet with the help of fuzzy logic. In order to determine the weight value of each criterion, the ANP approach was used. Subsequently, the final layers were produced by combining weighted layers and were divided into four classes: very suitable, moderately suitable, marginally suitable and unsuitable. It was identified that 17.04% of the total studied area for sugar beet cultivation was located in very suitable area and 76.75% in moderately suitable area, and marginally suitable and unsuitable areas occupied 4.18% and 0.03% of the areas, respectively. From climatic factors: maximum temperature (27.02%) and effective rainfall (15.55%), topography: aspect (50.19%) and slope (18.55%) and soil: total nitrogen (99.99%), material Organic (100%) and available phosphorus (29.39%) created the greatest limitation (marginally suitable and unsuitable zone) for spring sugar beet cultivation in the studied lands | ||
| کلیدواژه‌ها [English] | ||
| Suitability, spring sugar beet, fuzzy logic, ANP, GIS | ||
| مراجع | ||
|
Amirian Chakan A. Spatial modeling of land suitability using fuzzy set theory and geostatistical techniques (Case study: Silakhor plain of Dorud city, Lorestan province). (PhD Thesis). Tehran University, 2011. [In Persian]. Annonymous. Agricultural statistics in 2022, Volume One: Crop Products. Ministry of Agriculture-Jahad, Tehran. 2023; p.103. [In Persian]. Azadi A, Zareian Gh, Shakeri S. Digital mapping of soil fertility for some agricultural lands by using Fuzzy-AHP (FAHP) techniques and GIS in highly calcareous soil, southwest Iran. Communications in Soil Science and Plant Analysis. 2023, 54(20): 2885-2897. doi:10.1080/00103624.2023.2245413. Azizi M, Mazreh H, Taleghani DF. Identification of prone areas to autumn cultivation of sugar beet in Lorestan and Ilam provinces based on temperature and precipitation. Journal of sugar beet. 2022; 38(1): 37-54. doi:10.22092/JSB.2022.358534.1305. [In Persian]. Bazugba IAJ, Massawe BH, Shitindi MJ, Deng PK. Land suitability evaluation for rainfed maize production using geospatial technologies in Nzara and Yambio counties, South Sudan. Journal of Soil Science and Environmental Management. 2023; 14(1):1-13. doi:10.5897/JSSEM2023.0925. Budak M, Kılıç M, Günal H, Çelik I, Sırrı M. Land suitability assessment for rapeseed potential cultivation in upper Tigris basin of Turkiye comparing fuzzy and boolean logic. Industrial Crops & Products. 2024; 208: 117806. doi:10.1016/j.indcrop.2023.117806. Choudhary K, Boori MS, Shi W, Valiev A, Kupriyanov A. Agricultural land suitability assessment for sustainable development using remote sensing techniques with analytic hierarchy process. Remote Sensing Applications: Society and Environment. 2023; 32: 101051. doi:10.1016/j.rsase.2023.101051. Kazemi Poshtmasari H, Tahmasebi Sarvestani Z, Kamkar B, Shataei Sh, Sadeghi S. Agroecological zoning of agricultural lands in Golestan province for canola cultivation by Geographic Information System (GIS) and Analytical Hierarchy Process (AHP). Crop production. 2012; 5(1): 123-139. doi:20.1001.1.2008739.1391.5.1.8.7. [In Persian]. Khajehpour MR. Industrial plants. University Jihad of Isfahan University Technology Branch. 2013; pp. 564. [In Persian]. Khosravi M, Amani M, Hosseinzadeh Kermani M. Assessment of environmental suitability for sugar beet planting in Torbat-e- Heydarieh city using Geographic Information System (GIS). Journal of sugar beet. 2014; 30(1): 101-116. doi:10.22092/JSB.2014.5944. [In Persian]. Kılıc OM, Ersayın K, Gunal H, Khalofah Ah, Alsubeie MS. Combination of fuzzy-AHP and GIS techniques in land suitability assessment for wheat (Triticum aestivum) cultivation. Saudi Journal of Biological Sciences. 2022; 29: 2634-2644. doi:10.1016/j.sjbs.2021.12.050. Nehbandani AR, Alizadeh- Dehkordi P, Dadrasi A, Filippi P, Hajjarpoor A. Global suitability analysis of current and future climates for rainfed wheat production. International Journal of Plant Production. 2023; 17: 597-592. doi:10.1007/s42106-023-00254-3. Özkan B, Dengiz O, Turan İD. Site suitability analysis for potential agricultural land with spatial fuzzy multi‑criteria decision analysis in regional scale under semi‑arid terrestrial ecosystem. Scientific Reports. 2020; 10(1): 22074. doi:10.1038/s41598-020-79105-4. Paravar E, Soltani A, Zeinali E, Kazemi H, Dadrasi A. Agro-ecological zoning of Iran for plant production. Iranian Journal of Field Crops Research. 2023; 21(2): 189-202. doi:10.22067/JCESC.2022.78336.1195. [In Persian]. Parvin N, Karami MR, Bozorgmansh A. Assessment south of West Azerbaijan lands for agricultural development and management of rural sustainable development using AHP and GIS and Aster images. Urban Management. 2017; 47: 107-118. [In Persian]. Pourhadian H, Kamkar B, Soltani A, Mukhtarpour H. Evaluation of water quality for corn cultivation using GIS, fuzzy logic and ANP (Case study: four basins of Golestan province). Crop Production Journal. 2019; 13(3): 1-12. doi:10.22069/EJCP.2021.14056.2068. [In Persian]. Pourhadian H. Feasibility of forage sorghum (Sorghum bicolor L.) cultivation post-harvest of autumn cereals in semi- arid regions using fuzzy logic. Cereal Research, 2021a; 11(2): 149-162. doi:10.22124/CR.2021.19255.1654. [In Persian]. Pourhadian H. Land suitability of Lorestan province lands for the double cropping of forage Millet using Geographic Information System (GIS), Network Analysis Process (ANP) and fuzzy logic. Journal of Agricultural Science and Sustainable Production. 2021b; 13(4): 287-302. doi:10.22034/SAPS.2021.42810.2576. [In Persian]. Rahman Salari, K, Omidvari Sh. Study of the efficiency of geostatistical methods (kriging and IDW) in preparing the fertility map of Kamalvand plain of Khorramabad. International Conference on Architecture, Urbanism, Civil Engineering, Art, Environment; Future Horizons and retrospect, 2016 7 March; Iran: Tehran. 2016; P. 262. [In Persian]. Sadiq FK, Ya’u SL, Aliyu J, Maniyunda LM. Evaluation of land suitability for soybean production using GIS-based multi-criteria approach in Kudan Local Government area of Kaduna State Nigeria. Environmental and Sustainability Indicators. 2023; 20: 100297. doi:10.1016/j.indic.2023.100297. Sarğın B, Karaca S. Land suitability assessment for wheat-barley cultivation in a semi-arid region of Eastern Anatolia in Turkey. PeerJ. 2023; 11: e1639 .doi: 10.7717/peerj.16396. Sarkar D, Saha S, Prolay Mondal P. Modelling agricultural land suitability for vegetable crops farming using RS and GIS in conjunction with bivariate techniques in the Uttar Dinajpur district of Eastern India. Green Technologies and Sustainability. 2023; 1: 100022. doi:10.1016/j.grets.2023.100022. Sobhani B, Safarianzengir V, Tabatabaei B. Agroecological zoning of sugar beet cultivation cased on coil nutrients and climatic conditions (Case study: East Azarbayjan Province). Journal of Environmental Science and Technology. 2020; 22(95):95-107. doi:10.22034/JEST.2020.28698.3741.[In Persian]. | ||
|
آمار تعداد مشاهده مقاله: 432 تعداد دریافت فایل اصل مقاله: 157 |
||