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省域土地人口经济多维协调格局及分区发展策略
引用本文:张慧,苏航,薛睿,章桂芳.省域土地人口经济多维协调格局及分区发展策略[J].农业工程学报,2019,35(21):262-270.
作者姓名:张慧  苏航  薛睿  章桂芳
作者单位:1. 山东农业大学机械与电子工程学院,泰安271018;,1. 山东农业大学机械与电子工程学院,泰安271018; 2. 山东省园艺机械与装备重点实验室,泰安 271018;,1. 山东农业大学机械与电子工程学院,泰安271018; 2. 山东省园艺机械与装备重点实验室,泰安 271018;,1. 山东农业大学机械与电子工程学院,泰安271018;,1. 山东农业大学机械与电子工程学院,泰安271018;,1. 山东农业大学机械与电子工程学院,泰安271018; 2. 山东省园艺机械与装备重点实验室,泰安 271018;
基金项目:山东省农机装备研发创新计划项目(2015TH101)
摘    要:为了实现玉米含水率的快速无损检测,该文利用精密阻抗分析仪和自制介电参数测量传感器通过500 mV的激励电压在1 kHz~5.462 MHz频率范围内测量了热风干燥过程中不同含水率与不同温度下玉米籽粒的介电常数?''和介电损耗?"。通过对双介电参数频谱的分析,对含水率回归模型建模频段进行了初步选择,以1.072~5.462 MHz之间15个测量频点的双介电参数和温度值T共计31维变量作为支持向量回归机(support vector regression,SVR)模型的输入全变量,分别利用竞争性自适应重加权算法(competitive adaptive reweighted sampling,CARS)、迭代保留信息变量算法(iteratively retains informative variables,IRIV)和CARS-IRIV联合算法筛选特征变量,建立全变量、CARS、IRIV和CARS-IRIV筛选特征变量与玉米籽粒含水率的SVR模型。引入鲸鱼优化算法(whale optimization algorithm,WOA)优化SVR模型参数c(惩罚因子)和g(核函数参数),结果表明CARS-IRIV筛选特征变量(?''3.854MHz、?"3.854MHz、?''5.462MHz、?"5.462MHz、T)建立的SVR模型经WOA优化后(CARS-IRIV-WOA-SVR)具有最优的预测精度,预测集决定系数、预测集均方根误差和剩余预测偏差分别为0.998 4,0.40%和24.55,且模型复杂度最低。该研究为基于双介电参数和支持向量回归机实现玉米含水率快速无损检测提供了新的研究思路和基础数据。

关 键 词:无损检测  算法  水分  双介电参数  竞争性自适应重加权算法  迭代保留信息变量算法  鲸鱼优化算法
收稿时间:2019/5/31 0:00:00
修稿时间:2019/9/10 0:00:00

Multidimensional coordination pattern of provincial land population economy and its zoning development strategy
Zhang Hui,Su Hang,Xue Rui and Zhang Guifang.Multidimensional coordination pattern of provincial land population economy and its zoning development strategy[J].Transactions of the Chinese Society of Agricultural Engineering,2019,35(21):262-270.
Authors:Zhang Hui  Su Hang  Xue Rui and Zhang Guifang
Institution:1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai''an 271018, China;,1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai''an 271018, China; 2. Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments, Tai''an 271018, China;,1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai''an 271018, China; 2. Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments, Tai''an 271018, China;,1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai''an 271018, China;,1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai''an 271018, China; and 1. College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai''an 271018, China; 2. Shandong Provincial Key Laboratory of Horticultural Machineries and Equipments, Tai''an 271018, China;
Abstract:Abstract: To explore land use strategies from the perspective of multidimensional coordination of land, population and economy is the key to solving the current urban-rural gap and the contradiction between human and land resources. In this paper, the improved land management scale model was used to measure the rural land pressure in various regions; the logistic model was used to calculate the urban population gap in various regions; and the nodularity index was used to analyze the comprehensive economic development level of each region. The evaluation results were analyzed with KDE and coupling coordination index. The development types were classified according to the results of coordination analysis. Finally, the spatial planning was carried out and development suggestions were proposed. This paper indicates that the suitable land management scale per household in Heilongjiang Province is 11.6 hm2, the surplus agricultural population is 11.02 million, and the total pressure on rural land is 51 478 940 hm2. The urban population carrying capacity of Heilongjiang is 30.31 million, and the urban population gap is 7.89 million. According to KDE analysis, the center of economic development level is located in Daqing City, with a score of 0.877. All KDE centers are located in the west and south of Heilongjiang Province, which shows that the contradiction of development of Heilongjiang Province is concentrated in the west and south. There is a high level of coordination among land, population and economic systems, and formed four different categories. The first categoryis urban-rural coordination model and is classified as an industrial transformation and upgrading zone, including Daqing only. With the depletion of oil resources in the region, we should give full play to its existing financial advantages and find alternative pillar industries in time to cope with the huge transformation pressure faced by the industry. The second category is the agricultural and forestry professional models, which is classified as ecological agricultural development zones, including Daxinganling, Hegang, Heihe, Jixi, Jiamusi, Mudanjiang, Qitaihe, Shuangyashan and Yichun.. The region should actively change the mode of agricultural production and management, promote agricultural industrialization, enrich the development of downstream industries, and make rational use of resources. At the same time, special division of labor and cooperation should be adopted to avoid the competition caused by the homogenization of resource endowments between regions. The third category is the urban-rural gap model only including Harbin, which is classified as urban radiation driven area. Harbin, as a provincial capital city, should give full play to its huge resource advantages to play a role of radiation and promote the development of the whole region. The fourth category is the overall lagging mode, including Qiqihar and Suihua, which is classified as urban-rural composite optimization zones. The region must take industrialization as the key and cultivate large enterprises with strong economic driving capacity to strengthen the economic strength of cities and absorb surplus agricultural population in this way. At the same time, rural areas should increase the intensity of land use, increase economic output per unit area of land, and take a new approach to multiplying agricultural functions, rural industrialization and population urbanization to promote farmers'' income.
Keywords:nondestructive testing  algorithm  moisture  double dielectric parameters  competitive adaptive reweighted sampling  iteratively retains informative variables  whale optimization algorithm
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