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Open AccessArticle

Alternative Zoning Scenarios for Regional Sustainable Land Use Controls in China: A Knowledge-Based Multiobjective Optimisation Model

1
School of Resource and Environmental Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Xiangyang Municipal Bureau of Land and Resources, 13 Xiangcheng Street, Xiangyang 441100, China
3
Changjiang River Scientific Research Institute, Changjiang Water Resources Commission, 23 Huangpu Road, Wuhan 430010, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2014, 11(9), 8839-8866; https://doi.org/10.3390/ijerph110908839
Received: 2 April 2014 / Revised: 6 August 2014 / Accepted: 11 August 2014 / Published: 28 August 2014
(This article belongs to the Special Issue Proceedings from 2014 Global Land Project (GLP) Asia Conference)
Alternative land use zoning scenarios provide guidance for sustainable land use controls. This study focused on an ecologically vulnerable catchment on the Loess Plateau in China, proposed a novel land use zoning model, and generated alternative zoning solutions to satisfy the various requirements of land use stakeholders and managers. This model combined multiple zoning objectives, i.e., maximum zoning suitability, maximum planning compatibility and maximum spatial compactness, with land use constraints by using goal programming technique, and employed a modified simulated annealing algorithm to search for the optimal zoning solutions. The land use zoning knowledge was incorporated into the initialisation operator and neighbourhood selection strategy of the simulated annealing algorithm to improve its efficiency. The case study indicates that the model is both effective and robust. Five optimal zoning scenarios of the study area were helpful for satisfying the requirements of land use controls in loess hilly regions, e.g., land use intensification, agricultural protection and environmental conservation. View Full-Text
Keywords: land use zoning; scenario; multiobjective optimisation; goal programming; simulated annealing land use zoning; scenario; multiobjective optimisation; goal programming; simulated annealing
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Xia, Y.; Liu, D.; Liu, Y.; He, J.; Hong, X. Alternative Zoning Scenarios for Regional Sustainable Land Use Controls in China: A Knowledge-Based Multiobjective Optimisation Model. Int. J. Environ. Res. Public Health 2014, 11, 8839-8866.

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