تعداد نشریات | 161 |
تعداد شمارهها | 6,532 |
تعداد مقالات | 70,502 |
تعداد مشاهده مقاله | 124,119,076 |
تعداد دریافت فایل اصل مقاله | 97,225,339 |
بهینهسازی کاربری اراضی با استفاده از ترکیب روشهای برنامهریزی خطی فازی و تخصیص چندهدفۀ اراضی (مطالعۀ موردی: حوضۀ آبخیز چلگرد) | ||
اکوهیدرولوژی | ||
مقاله 6، دوره 3، شماره 3، مهر 1395، صفحه 363-377 اصل مقاله (1.02 M) | ||
نوع مقاله: پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ije.2016.60025 | ||
نویسندگان | ||
افشین هنربخش* 1؛ مهدی پژوهش2؛ مریم زنگی آبادی3؛ مسلم حیدری4 | ||
1دانشیار، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه شهرکرد | ||
2استادیار، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه شهرکرد | ||
3دانشیار، دانشکدۀ علوم پایه، دانشگاه شهرکرد | ||
4دانشجوی دکتری، دانشکدۀ منابع طبیعی و علوم زمین، دانشگاه شهرکرد | ||
چکیده | ||
در چند دهۀ گذشته از مدلهای متعددی مانند مدل برنامهریزی خطی برای مدیریت حوضههای آبخیز و تعیین الگوی کشت بهینه در برنامهریزیهای کشاورزی استفاده شده است. روشهای مدیریت و برنامهریزی برای تخصیص بهینۀ منابع بهمنظور بهدستآوردن بیشترین منافع از مهمترین ابزارهای کاربردی در زمینههای مختلف از جمله منابع طبیعی مانند منابع آب هستند. در این تحقیق با استفاده از روشهای بهینهسازی، از یک مدل تکهدفۀ برنامهریزی خطی فازی برای بهینهسازی کاربری اراضی و از یک مدل بهینهسازی چندهدفه برای تخصیص بهینۀ منابع استفاده شد. براساس نتایج مدل ترکیبی ارائهشده میتواند مبنایی برای مدیریت صحیح منابع باشد و تا حدود 12 درصد فرسایش خاک را کاهش دهد. همچنین نتایج نشان داد در شرایط بهینه سطح اختصاصیافته به اراضی کشت دیم 59 درصد کاهش و سطح اراضی مرتعی، کشت آبی، باغها و بیشهها بهترتیب 1، 9، 94 و 229 درصد افزایش مییابد. شایان یادآوری است که مدل جدید ارائهشده، نوعی مدل سازگار با شرایط اجتماعی و اقتصادی حوضۀ آبخیز است و میتوان از آن برای استفادۀ بهتر و نیز حفظ و احیای منابع طبیعی موجود استفاده کرد و آن را بهعنوان نوعی مدل مبتنی بر شرایط زیستمحیطی معرفی کرد. | ||
کلیدواژهها | ||
برنامهریزی خطی فازی؛ بهینهسازی؛ تخصیص چندهدفۀ اراضی؛ منابع طبیعی | ||
عنوان مقاله [English] | ||
Land Use Optimization Using Combination of Fuzzy Linear Programming and Multi Objective Land Allocation Methods (Case Study: ChelgerdWatershed) | ||
نویسندگان [English] | ||
Afshin Honarbakhsh1؛ Mahdi Pajoohesh2؛ Maryam Zangiabadi3؛ Moslem Heydari4 | ||
1Faculty of Natural Resources and Earth Sciences, University of Shahrekord, Iran | ||
چکیده [English] | ||
Over the past few decades, several models such as the LP model have been used for managing watersheds and determining optimal cultivation pattern for agricultural planning. Management and planning methods are the most important applied tools of management science for optimal allocating resources in order to gain the most profits in the different fields including natural resources, water resources. In this research, using optimization methods, a single objective fuzzy linear programming model was used to land use optimization and a multi objective optimization model for optimal allocation of resources. The results showed that the proposed combined model can be the base for correct management of resources and decrease the amount of soil erosion to 12 percent.Also, the results indicated that under optimized condition, the area allocated to dry farming lands will decrease about 59% and the area of rangelands, irrigated agricultures, gardens and forest plantation will increase about 1%, 9%, 94% and 229% respectively. It is mentioned that the new produced model is a model which is compatible with social and economic condition of watershed and can apply for better use, conservation and rehabilitation of existent natural resources and can be introduce as model which is on the basis of environmental approach. | ||
کلیدواژهها [English] | ||
Optimization, Fuzzy linear programming, Multi objective land allocation, Natural Resources | ||
مراجع | ||
[1].Abubakar AM, EfronNG, Joseph OA. Remote sensing and gis based predictive model for desertification early warning in north eastern Nigeria, NED University Journal of Research, 2012;4(1): 1-14.
[2].Akbari N, Zahedi Keyvan M. Application of fuzzy logic in determination of suitable crop cultivation pattern in a farm (Approach: fuzzy goal programming), Journal of Agricultural Economics, 2007;1(2): 13-35. [persian].
[3].Alansi AW, AminMSM, Abdul Halim G,ShafriHZM, Thamer AM, Waleed ARM, et al. The effect of development and land use change on rainfall-runoff and runoff-sediment relationships under humid tropical condition: case study of Bernam watershed Malaysia, European Journal of Scientific research, 2009;31: 88-105.
[4].Amini A. Planning and Optimal Allocation of Agricultural Production Resources under Uncertainty; Application of Multi-Objective Fuzzy Goal Programming approach, Geography and Environmental Planning Journal, 24th Year, 2013; 51(3): 107-128. [persian].
[5].Arkhi S, YoosefiS, RostamizadGh. Survey the effect of land use optimization in decreasing erosion and sedimentation of Chamgardlan dam watershed using GIS, Geography and Territorial Spatial Arrangement, 2013; 6, 75-84. [persian].
[6].Asadpoor H,Khalilian S,PeykaniGh. Theory and application of linear fuzzy goal programming model in crop cultivation pattern optimization, Journal of Agricultural Economics and Development, 2005; 309: 307-338. [persian].
[7].Bellman RE,Zadeh LA. Decision-Making in a fuzzy environment. Management Science, 1970; 17(4).
[8].Benjamin M. Land use conflicts resolution in a fragile ecosystem using multi-criteria evaluation (MCE) and a GIS-Based decision support system (DSS), International Conference on Spatial Information for Sustainable Development, 2001; 11pp. Nairobi, Kenya.
[9].Biswas A, Pal BB. Application of fuzzy goal programming technique to land use planning in agricultural system. Omega journal, 2005; 33: 391-398.
[10] Chamheydar H, Nikkami D, Pazira A, Ghafouri M. Soil loss minimization through land use optimization. World Applied science Journal, 2011; 12: 76-82.
[11].Daliri F, SerajiHS, Kholghi M. Watershed system planning and management using optimization model (Case study: Gharmabdasht Watershed), Journal of Range and Watershed Management, Iranian Journal of Natural Resources, 2009; 62(2): 247-256. [persian].
[12].DavoodiRad A, SadeghiSH, Sadodin A. Monitoring of Land Use Spatial-Temporal Changes in Shazand Watershed, Iranian Journal of Ecohydrology, 2015; 2(4): 405 – 415.[persian].
[13].DemirYM, Atasoy M,BayrakT, Biyik C. Evaluating sustainable land use for the De Irmendere valley: a case study from northeastern Turkey, Journal of Sustainable Development and World Ecology, 2008;14: 626-633.
[14].Eastman JR, James T, Weigen A, Peter A,Kyem K. Raster procedures for multi-criteria/multi-objective decisions, Photogrammetric Engineering and Remote Sensing, 1995; 61(5): 539-547.
[15].Hamdi AT. Operations research: an introduction, Eighth Edition, University of Arkansas, Fayetteville, 2002; 840 pp.
[16].Han Y, HuangYF, Wang GQ, Maqsood I.A multi-objective linear programming model with interval parameters for water resources allocation in Dalian city, Water Resour Manage. 2011; 25: 449–463.
[17].HaqueA,Asami Y. Optimizing urban land use allocation for planners and real estate Developers, Computers, Environment and Urban Systems, 2014; 46: 57–69.
[18].Iranmehr M, PourmanafiS, SoffianianA. Ecological Monitoring and Assessment of Spatial-Temporal Changes in Land Cover with an Emphasis on Agricultural Water Consumption in Zayandeh Rood Region, Iranian Journal of Ecohydrology, 2015; 2(1): 23 – 38.[persian].
[19].Itoh T, Ishii H,Nanseki T. A model of crop planning under uncertainty in agricultural management. International Journal of Production Economics, 2003; 81-82: 555-558.
[20].Jereon M, Anton VR, Tim Q, Manuel M, Christian P, Dominique A. Predicting future spatial distribution of SOC across entire France, Geophysical Research Abstracts, 2013; 15, 1P.
[21].Justesen PD. Multi–Objective optimization using evolutionary algorithms, Department of Computer Science, University of Denmark,Progress report, 2009; 36 pp.
[22].Lehmann N, Briner S, Finger R. The impact of climate and price risks on agricultural land use and cropmanagement decisions, Land Use Policy, 2013; 35: 119– 130.
[23].Li X. A sustainable land allocation model with the integration of remote sensing and GIS a case study in Dongguan, Guangzhou institute of geography, 2007; 26 pp.
[24].LiuY, Jiao L, Liu Y, He J.A self-adapting fuzzy inference system for the evaluation of agricultural land, Environmental Modelling & Software Journal, 2013; 40: 226-234.
[25].Mohammadi M,Nastaran M,Sahebgharani A. Sustainable Spatial Land Use Optimization through Non-Dominated Sorting Genetic Algorithm-II (NSGA-II): (Case Study: Baboldasht District of Isfahan),Indian Journal of Science and Technology, 2015; 8(3): 118–129.
[26].MohamadiVarzanehN, VafaeinejadA. Water Allocation in Irrigation Networks by Using Decision Support System based on the Geospatial Information System (GIS) and Particle Swarm Optimization (PSO), Iranian Journal of Ecohydrology, 2015; 2(1): 39 – 49.[persian].
[27].Pajoohesh M,Gorji M, Taheri m,Sarmadiyan F,Mohamadi j,Samadi H. Effect of land use on sediment yield using GIS in Zayandehrood upstream basin, Iran water research Journal, 2011; 5(8): 143-152. [persian].
[28].Pal BB, MoitraBN, Maulik U.A goal programming procedure for fuzzy multi-objective linear fractional programming problem. Fuzzy Sets and Systems,2003; 139: 395-405.
[29].PishdadSalmanabad L, NajafinejadA,Salmanmahini A. Survey the effects of land use change on soil erosion in Cheraghveise watershed. Journal of Agricultural Sciences and Natural Resources, 2008; 5(1): 141-149. [persian].
[30].Porta J, Parapar J,Doallo R, RiveraFF, SanteI,Crecente R. High performance genetic algorithm for land use planning, Computers, Environment and Urban Systems, 2013; 37: 45–58.
[31].RaeiJadidi M, Sabuhisabuni M. Farm planning by fuzzy multi objective programming model, Journal of sustainable agriculture and production science, 2009;2/20(1): 11-22.
[32].SadeghiSHR, JaliliKh,Nikkami D. Land use optimization in watershed scale. Land Use Policy,2009; 26, 186-193.
[33].Sahnoun H, Serbaji MM, KarrayB, Medhioub K. GIS and multicriteria analysis to select potential sites of agro-industrial complex, Environmental Earth Sciences, 2012; 66(8): 2477-2489.
[34].Salyani T. Design the crop pattern in water resources projects. Agricultural Economics and Development, 1996; 4(15): 91-93. [persian].
[35].Shaygan M, Alimohammadi A.Mansourian A.Multi-objective combined optimization of land useallocation using goal attainment method and MOLA, Iranian Journal of Remote Sencing& GIS, 2013; 5(1): 1-12,[persian].
[36].Shaygan M, Alimohammadi A.Mansourian A. Shams GovaraZ.Kalami SM. Spatial multi-objective optimization approach for land use allocation using NSGA-II, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014; 7(3): 906-916.
[37].Terrence JT, George RF, Kenneth GR. Soil erosion, Jhon Wiley and sons, INK, USA, 2001; 338 pp.
[38].Yeo I, GordenSI, Guldmann JM. Optimizing patterns of land use to reduce peak runoff flow and nonpoint source pollution with an integrated hydrological and land-use model. Earth Interact, 2004; 8: 1-19.
[39].VafaeinejadA, YousefzadehJ, YousefiH, MohamadiVarzanehN. Using GIS and linear programming to manage water distribution in irrigation networks and cropping pattern allocation (Case study: Downstream lands of Aq-chay Dam), Iranian Journal of Ecohydrology, 2014; 1(2): 123 – 132.[persian].
[40].VafakhahM, Javadi MR,NajafiMajdJ. Effect of land use changes on runoff depth in Chalousrud watershed, Iranian Journal of Ecohydrology, 2015; 2(2): 211 – 220.[persian].
[41].Zadeh LA. Fuzzy sets, Journal of Information and Control, 1965; 8: 338-353.
| ||
آمار تعداد مشاهده مقاله: 1,551 تعداد دریافت فایل اصل مقاله: 1,563 |