A Hybrid Inexact Optimization Method for Land-Use Allocation in Association with Environmental/Ecological Requirements at a Watershed Level

In this study, an inexact stochastic fuzzy programming (ISFP) model is proposed for land-use allocation (LUA) and environmental/ecological planning at a watershed level, where uncertainties associated with land-use parameters, benefit functions, and environmental/ecological requirements are described as discrete intervals, probabilities and fuzzy sets. In this model, an interval stochastic fuzzy programming model is used to support quantitative optimization under uncertainty. Complexities in land-use planning systems can be systematically reflected, thus applicability of the modeling process can be highly enhanced. The proposed method is applied to planning land use/ecological balance in Poyang Lake watershed, China. The objective of the ISFP is maximizing net benefit from the LUA system and the constraints including economic constraints, social constraints, land suitability constraints, environmental constraints, ecological constraints and technical constraints. Modeling results indicate that the desired system benefit will be between [15.17, 18.29] × 10 12 yuan under the minimum violating probabilities; the optimized areas of commercial land, industrial land, agricultural land, transportation land, residential land, water land, green land, landfill land and unused land will be optimized cultivated land, forest land, grass land, water land, urban land, unused land and landfill will be [228234, 237844] ha, [47228, 58451] ha, [20982, 23718] ha, [33897, 35280] ha, [15215, 15907] ha, [528, 879] ha and [1023, 1260] ha. These data can be used for generating decision alternatives under different scenarios and thus help decision makers identify desired policies under various system-reliability constraints of ecological requirement and environmental capacity. Tradeoffs between system benefits and constraint-violation risks can be tackled. They are helpful for supporting (a) decision of land-use allocation and government investment; (b) formulation of local policies regarding ecological protection, environment protection and economic development; (c) analysis of interactions among economic benefits, system reliability and ecological requirements.

[1]  Sheng Yu,et al.  Land allocation based on integrated GIS-optimization modeling at a watershed level , 2004 .

[2]  Valentina Bosetti,et al.  Uncertainty and Option Value in Land Allocation Problems , 2003, Ann. Oper. Res..

[3]  Khalid A. Eldrandaly,et al.  A GEP-based spatial decision support system for multisite land use allocation , 2010, Appl. Soft Comput..

[4]  Min Zhou,et al.  An interval fuzzy chance-constrained programming model for sustainable urban land-use planning and land use policy analysis , 2015 .

[5]  Ian D. Bishop,et al.  Spatial model steering, an exploratory approach to uncertainty awareness in land use allocation , 2013, Environ. Model. Softw..

[6]  Chen Hong-zhao,et al.  The distribution regularity of higher categories in Chinese soil taxonomy , 1997 .

[7]  Min Zhou,et al.  An interval fuzzy land-use allocation model (IFLAM) for Beijing in association with environmental and ecological consideration under uncertainty , 2015 .

[8]  H. H. Zhang,et al.  Simulating Multi-Objective Spatial Optimization Allocation of Land Use Based on the Integration of Multi-Agent System and Genetic Algorithm , 2010 .

[9]  Yang Wang,et al.  Land Resources Allocation Strategies in an Urban Area Involving Uncertainty: A Case Study of Suzhou, in the Yangtze River Delta of China , 2014, Environmental Management.

[10]  Tal Svoray,et al.  Urban land-use allocation in a Mediterranean ecotone: Habitat Heterogeneity Model incorporated in a GIS using a multi-criteria mechanism , 2005 .

[11]  Feng Zhou,et al.  ICCLP: An Inexact Chance-Constrained Linear Programming Model for Land-Use Management of Lake Areas in Urban Fringes , 2007, Environmental management.

[12]  Min Zhou,et al.  An integrated GIS-based interval-probabilistic programming model for land-use planning management under uncertainty—a case study at Suzhou, China , 2015, Environmental Science and Pollution Research.

[13]  I. Bagdanavičiūtė,et al.  GIS-based land suitability analysis integrating multi-criteria evaluation for the allocation of potential pollution sources , 2013, Environmental Earth Sciences.

[14]  Y. Zhang,et al.  Agricultural land use optimal allocation system in developing area: Application to Yili watershed, Xinjiang Region , 2012, Chinese Geographical Science.

[15]  Ying Li,et al.  Development and application of a simulation model for changes in land-use patterns under drought scenarios , 2011, Comput. Geosci..

[16]  M. Aniya,et al.  Rural sustainability under threat in Zimbabwe - Simulation of future land use/cover changes in the Bindura district based on the Markov-cellular automata model , 2009 .

[17]  Yang-Chi Chang,et al.  An interactive dynamic multi-objective programming model to support better land use planning , 2014 .

[18]  T. Stewart,et al.  A multiobjective GIS-based land use planning algorithm , 2014, Comput. Environ. Urban Syst..

[19]  Meichen Fu,et al.  A trade-off approach of optimal land allocation between socio-economic development and ecological stability , 2014 .

[20]  Huda Abdelwahab Sharawi,et al.  Optimal land-use allocation in central Sudan , 2006 .

[21]  Erez Hatna,et al.  Assessing spatial uncertainties of land allocation using a scenario approach and sensitivity analysis: a study for land use in Europe. , 2013, Journal of environmental management.

[22]  Seyed Hamidreza Sadeghi,et al.  Land use optimization in watershed scale , 2009 .

[23]  Min Zhou,et al.  Optimizing the industrial structure of a watershed in association with economic–environmental consideration: an inexact fuzzy multi-objective programming model , 2013 .

[24]  Richard L. Church,et al.  Spatial optimization as a generative technique for sustainable multiobjective land‐use allocation , 2008, Int. J. Geogr. Inf. Sci..

[25]  G. J. Carsjens,et al.  Strategic land use allocation : dealing with spatial relationships and fragmentation of agriculture , 2002 .

[26]  Yong Liu,et al.  An integrated GIS-based analysis system for land-use management of lake areas in urban fringe , 2007 .

[27]  Xinhao Wang,et al.  A cellular automata model of land cover change to integrate urban growth with open space conservation , 2011 .

[28]  Y. P. Li,et al.  A multistage irrigation water allocation model for agricultural land-use planning under uncertainty , 2013 .

[29]  Yansui Liu,et al.  Agricultural Production Structure Optimization: A Case Study of Major Grain Producing Areas, China , 2013 .

[30]  Xinyue Ye,et al.  Coarse-grained parallel genetic algorithm applied to a vector based land use allocation optimization problem: the case study of Tongzhou Newtown, Beijing, China , 2013, Stochastic Environmental Research and Risk Assessment.

[31]  Shu-li Huang,et al.  Integrated ecosystem model for simulating land use allocation , 2012 .

[32]  Yasushi Asami,et al.  Optimizing urban land use allocation for planners and real estate developers , 2014, Comput. Environ. Urban Syst..

[33]  Rodger Tomlinson,et al.  Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning , 2015, Comput. Environ. Urban Syst..

[34]  Guangqian Wang,et al.  Interval-Parameter Linear Optimization Model with Stochastic Vertices for Land and Water Resources Allocation Under Dual Uncertainty , 2011 .

[35]  Wenli Chen,et al.  Optimal land use allocation of urban fringe in Guangzhou , 2012, Journal of Geographical Sciences.

[36]  Liu Jiyuan,et al.  The land use and land cover change database and its relative studies in China , 2002 .

[37]  A. S. Mahiny,et al.  MULTI OBJECTIVE LAND ALLOCATION (MOLA) FOR ZONING GHAMISHLOO WILDLIFE SANCTUARY IN IRAN , 2011 .

[38]  Min Zhou,et al.  A hybrid inexact optimization model for land-use allocation of China , 2014, Chinese Geographical Science.

[39]  Yang Wang,et al.  Simulating multiple class urban land-use/cover changes by RBFN-based CA model , 2011, Comput. Geosci..

[40]  Yan-sui Liu,et al.  Community-based rural residential land consolidation and allocation can help to revitalize hollowed villages in traditional agricultural areas of China: Evidence from Dancheng County, Henan Province , 2014 .

[41]  Robert G. Cromley,et al.  Coupling land use allocation models with raster GIS , 1999, J. Geogr. Syst..

[42]  Julie Le Gallo,et al.  Predicting land use allocation in France: A spatial panel data analysis ☆ , 2013 .

[43]  Xiangzheng Deng,et al.  Economic Growth and the Expansion of Urban Land in China , 2010 .

[44]  Jinxi Song,et al.  Land use allocation based on interval multi-objective linear programming model: A case study of Pi County in Sichuan Province , 2010 .