Potential Land Use Conflict Identification Based on Improved Multi-Objective Suitability Evaluation

نویسندگان

چکیده

Accurately identifying potential land use conflicts (LUCs) is critical for alleviating the ever-intensifying contradictions between humans and nature. The previous studies using method of suitability analysis did not take full advantage current multi-function characteristics resources. In this study, an improved model was realized. order to explore LUCs status, including types, intensity distribution, a multi-objective evaluation constructed from perspective production-living-ecological functions. And it applied Hengkou District, typical region Qin-Ba mountainous area in central part China. results show that distribution living- production-ecological functions vary widely center periphery with altitude District; 22.03% at risk conflict. Among them, high conflict areas account 55.32%, production ecological lands (L2P1E1, L3P1E1) are largest, which located fringe urban ecologically dominant area. Therefore, necessary adopt effective strategies achieve balance differential demands use. This research could better reflect true situation sensitive would provide theoretical methodological support identification prevention LUCs.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Urban Land-Use Allocation By A Cell-based Multi-Objective Optimization Algorithm

Allocating urban land-uses to land-units with regard to different criteria and constraints is considered as a spatial multi-objective problem. Generating various urban land-use layouts with respect to defined objectives for urban land-use allocation can support urban planners in confirming appropriate layouts. Hence, in this research, a multi-objective optimization algorithm based on grid is pr...

متن کامل

Land Suitability Evaluation for Alfalfa and Barley Based on FAO and Fuzzy Multi-Criteria Approaches in Iranian Arid Region

The present research aims to apply several approaches for suitability evaluation of lands under cultivation ofalfalfa and barley in Chaharmil mechanized farming center, Ardestan town, Isfahan province, Iran. Climatic andsoil maps of the climate and soil data were provided in raster format. Land evaluation carried out using maximumlimitation, parametric and multi-criteria (Analytical Hierarchy P...

متن کامل

Application of Multi Objective land Allocation technique for land use Planning Approach Case study: Hamadan County

From the late  twentieth century, human kind has found out that if he wants to obtain cost efficiently and continuous utilization of lands, it is better to execute this in a planned framework named management plan. Such idea is became  as an introduction to monitor the land or utilization of lands. Monitoring lands means contribution of an optimized space for land utilization with realization o...

متن کامل

simulating multi-objective spatial optimization allocation of land use based on the integration of multi-agent system and genetic algorithm

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

متن کامل

DYNAMIC PERFORMANCE OPTIMIZATION OF TRUSS STRUCTURES BASED ON AN IMPROVED MULTI-OBJECTIVE GROUP SEARCH OPTIMIZER

This paper presents an improved multi-objective group search optimizer (IMGSO) that is based on Pareto theory that is designed to handle multi-objective optimization problems. The optimizer includes improvements in three areas: the transition-feasible region is used to address constraints, the Dealer’s Principle is used to construct the non-dominated set, and the producer is updated using a tab...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Remote Sensing

سال: 2021

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs13122416