PDF Download HTML

]" id="html" rel="external">HTML

[1]SUI Hongjun,ZHANG Hui,YU Shiwen,et al.Study on Optimization of Spatial Distribution of Rural Residential Areas in Modern Agricultural Areas of Heilongjiang Province[J].Research of Soil and Water Conservation,2020,27(02):284-290.

Copy

Study on Optimization of Spatial Distribution of Rural Residential Areas in Modern Agricultural Areas of Heilongjiang Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 27 Number of periods: 2020 02 Page number: 284-290 Column: Public date: 2020-03-30

Title:: Study on Optimization of Spatial Distribution of Rural Residential Areas in Modern Agricultural Areas of Heilongjiang Province

Author(s):: SUI Hongjun¹, ZHANG Hui², YU Shiwen³, QIU Kaiyu², LIU Haoran², JIANG Peilin², LUAN Siyu², SONG Xueqing², ZHANG Guifang⁴; (1.Institute of Land Management, Northeast University, Shenyang 110169, China; 2.School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China; 3.Liaoning Guangheng Planning and Design Company Limited, Shenyang 110000, China; 4.School of Earth Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China)

Keywords:: land management; optimization of spatial distribution; coefficient of tillage pressure; rural settlements

CLC:: K901.8; F301.23

DOI:: -

Abstract:: The purpose of this paper is to improve the intensity of residential land while serving agricultural production efficiently in modern agricultural areas of Heilongjiang Province. The 859 farm under the Heilongjiang Agricultural Reclamation and Jiansanjiang Administration was taken as the study area, and the rural settlements were taken as the samples in the research area. The land use change survey vector database and high-resolution remote sensing images of Fuyuan City and Shuangyashan City of Jiamusi and Shuangyashan City of the year of 2015, a research method combining farming pressure coefficient with rural residential area scale prediction model developed through spatial analysis were used to examine the optimization of the spatial distribution of rural residential areas of the 859 farm. The results show that the oversize radius of farming in rural residence is an important factor that leads to a large number of scattered residential buildings in 859 farms, and the area of construction land per capita seriously exceeded the standard. 859 farms should establish the increase or decrease link between the high farming pressure areas which are the old areas of the rural settlements, and the low farming pressure areas which are the new areas of the rural farmers' settlements, so as to balance the regional cultivation pressure coefficient. To realize the distribution target that the whole area of 859 farms is suitable for rural settlements; on the premise of ensuring conservation and intensive use of construction land on 859 farms, 22 rural settlements should be established in the study area, and the number of rural settlements in the first to eleventh management areas should be 2,3,1,2,2,2,2,2,2,2,2, respectively. The average size should be 8.96,2.77,12.87,8.23,8.10,8.44,7.07,12.80,12.89,16.63,21.60 hm², respectively, the average carrying population is 597,185,858,549,540,563,471,853,859,1 109,1 440 people, respectively, the total area is 544 hm². The spatial distribution of rural settlements is optimized based on the cultivation pressure coefficient and the prediction model of the size of rural settlements, which can be used to optimize the spatial distribution of rural settlements, which can improve the efficiency of agricultural production and realize the high efficiency and intensive use of land.

References:: [1] 刘建生.农村居民点整治模式与布局优化研究[M].北京:科学出版社,2015.
[2] Long H L, Zou J, Liu Y S. Differentiation of rural development driven by industrialization and urbanization in eastern coastal China[J]. Habitat International, 2009,33(4):454-462.
[3] Long H L, Li Y R, Liu Y S, et al. Accelerated restructuring in rural China fueled by ‘increasing vs. decreasingbalance' land-use policy for dealing with hollowed villages[J]. Land Use Policy, 2012,29(1):11-22.
[4] 许建和,柳肃,熊鹰,等.南方山地乡村聚落空间分布及其格局优化调整:以临武县西山瑶族乡为例[J].经济地理,2017,37(10):221-227.
[5] 李骞国,石培基,刘春芳,等.黄土丘陵区乡村聚落时空演变特征及格局优化:以七里河区为例[J].经济地理,2015,35(1):126-133.
[6] 梁发超,刘诗苑,起晓星.厦门市乡村聚落用地空间演变解析及优化策略[J].经济地理,2017,37(12):172-179.
[7] 刘明皓,戴志中,邱道持,等.郝威山区农村居民点分布的影响因素分析与布局优化:以彭水县保家镇为例[J].经济地理,2011,31(3):476-482.
[8] 陶慧,刘家明,虞虎,等.旅游城镇化地区的空间重构模式:以马洋溪生态旅游区为例[J].地理研究,2017,36(6):1123-1137.
[9] 席建超,王首琨,张瑞英.旅游乡村聚落“生产—生活—生态”空间重构与优化—河北野三坡旅游区苟各庄村的案例实证[J].自然资源学报,2016,31(3):425-435.
[10] 黑龙江省农垦总局统计局.黑龙江垦区统计年鉴[M].北京:中国统计出版社,2018.
[11] 鄂施璇,雷国平,宋戈.黑龙江省粮食主产区农村居民点布局调整研究[J].中国土地科学,2015,29(10):80-84,94,97.
[12] 乔伟峰,吴江国,张小林,等.基于耕作半径分析的县域农村居民点空间布局优化:以安徽省埇桥区为例[J].长江流域资源与环境,2013,22(12):1557-1563.
[13] Chang Kang-tsung.地理信息系统导论[M].陈健飞,译.北京:科学出版社,2014.
[14] 胡兴定,白中科.基于耕作半径的采矿复垦区农村居民点安置规模预测[J].农业工程学报,2016,32(3):259-266.
[15] 中华人民共和国建设部.村镇规划标准GB50188—93[S].北京:中国建筑工业出版社,1993.
[16] 张慧,隋虹均,苏航,等.黑龙江垦区农村居民点与田块间适宜耕作半径及影响因素[J].农业工程学报,2018,34(11):217-224.
[17] 汤国安,杨昕.地理信息系统空间分析试验教程[M].北京:科学出版社,2012.
[18] 徐建华.计量地理学[M].北京:高等教育出版社,2006.
[19] 徐建华.现代地理学中的数学方法[M].北京:高等教育出版社,2002.
[20] 毛政元,李霖.空间模式的测度及其应用[M].北京:科学出版社,2004.

Similar References:

Memo

Last Update: 2020-02-25