王世东,李立,张游游,余洋.基于DE-PSO模型的土地资源优化配置研究[J].农业机械学报,2022,53(6):226-236.
WANG Shidong,LI Li,ZHANG Youyou,YU Yang.Optimal Allocation of Land Resources Based on DE-PSO Model[J].Transactions of the Chinese Society for Agricultural Machinery,2022,53(6):226-236.
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基于DE-PSO模型的土地资源优化配置研究   [下载全文]
Optimal Allocation of Land Resources Based on DE-PSO Model   [Download Pdf][in English]
投稿时间:2021-11-18  
DOI:10.6041/j.issn.1000-1298.2022.06.024
中文关键词:  土地资源优化配置  差分演化算法  粒子群优化算法  DE-PSO模型
基金项目:国家自然科学基金项目(41801318)、河南省科技攻关重点项目(222102320005)、河南省高等学校重点科研项目(22A420002)、河南省国土资源科研项目(豫政采(2)20190450-7、豫财招标采购-2019-379-7)和河南理工大学博士基金项目(B2015-22
作者单位
王世东 河南理工大学 
李立 河南理工大学 
张游游 河南理工大学河南省地质物探测绘技术有限公司 
余洋 河南理工大学中国地质环境监测院 
中文摘要:以丹江流域(河南段)2008、2018年Landsat遥感影像数据为主要数据源,采用差分演化算法对研究区2028年的土地利用结构进行优化,并对优化结果进行分析验证,然后将得到的土地利用结构优化结果作为数量约束条件嵌入粒子群算法,设置基本栅格、空间集聚度、土地类型转换、地形坡度规则等多种约束条件进行粒子更新优化,构建了土地资源优化配置的DE-PSO模型。研究结果表明,优化后的2028年土地利用空间格局与研究区实际相符合,且优化后的土地利用空间集聚程度增加,土地利用空间格局在总体上趋于合理;水域面积由406.61km2增长到448.07km2,主要表现为丹江口库区库容扩大,其发展趋势符合丹江口水库调水规划和水源地相关政策;模型总体精度为89.54%,Kappa系数为0.8593,说明建立的模型具有良好的性能。研究结果可为研究区土地资源可持续利用、水源地保护与管理、生态环境保护提供科学依据。
WANG Shidong  LI Li  ZHANG Youyou  YU Yang
Henan Polytechnic University;Henan Polytechnic University;Henan Geological Geophysical Surveying and Mapping Technology Co., Ltd.; Henan Polytechnic University;China Geological Environmental Monitoring Institute
Key Words:optimal allocation of land resources  differential evolution algorithm  particle swarm optimization algorithm  DE-PSO model
Abstract:Taking Landsat remote sensing image data of 2008 and 2018 in Danjiang River Basin

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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