吴超
河南理工大学测绘与国土信息工程学院 焦作 454000
基金项目: 国家自然科学基金项目41301617
中国博士后科学基金2016M590679
河南省高等学校重点科研项目17A420001
河南省高校基本科研业务费专项资金NSFRF1630
河南理工大学创新性科研团队项目B2017-16
河南省高校科技创新团队支持计划18IRTSTHN008
详细信息
作者简介:王世东, 主要研究方向为土地利用变化与土地复垦。E-mail:wsd0908@163.com
中图分类号:P901计量
文章访问数:945
HTML全文浏览量:6
PDF下载量:1074
被引次数:0
出版历程
收稿日期:2017-06-29
录用日期:2017-09-26
刊出日期:2018-03-01
Evaluation of influencing of terrain factors on land use change based on improved Index Sum Method
WANG Shidong,,WU Chao
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
Funds: the National Natural Science Foundation of China41301617
the Postdoctoral Science Foundation of China2016M590679
the Key Scientific Research Project of Henan Higher Education17A420001
the Fundamental Scientific Research Funds for Colleges and Universities in Henan ProvinceNSFRF1630
the Innovative Research Team Fund of Henan Polytechnic UniversityB2017-16
the Henan Province University Science and Technology Innovation Team Support Program18IRTSTHN008
More Information
Corresponding author:WANG Shidong, E-mail: wsd0908@163.com
摘要
HTML全文
图
参考文献
相关文章
施引文献
资源附件
访问统计
摘要
摘要:土地利用变化影响因素研究是当前土地利用变化领域的热点。本研究拟探究地形因子对区域土地利用变化的影响程度，解释人地系统相互作用的内在机制，以期为区域土地开发与空间利用的结构、方向、模式等提供科学依据。根据研究区自然条件、土地利用特点和地形因素特征，从宏观地形因子和微观地形因子两个方面选取评价指标，建立地形因素对土地利用变化影响程度评价指标体系；在此基础上，采用熵权法和环比评分法相结合确定评价指标权重的方法，建立基于改进指数和法的地形因素对土地利用变化影响程度综合评价模型，基于河南省栾川县2005-2015年3期Landsat遥感影像和DEM数据，利用GIS和RS技术定量评价了研究区地形因素对土地利用变化的影响程度。评价结果显示，2005-2015年间地形因子中的高程、坡度、坡向、坡长、坡向变率和地表切割度对研究区土地利用变化的影响程度评价值增加，而坡度变率、平面曲率、剖面曲率、高程变异系数、地形起伏度和地形粗糙度的影响程度评价值减小。2005-2010年研究区地形因子对土地利用变化的影响程度评价变化值为0.000 978，变化率为7.06%；2010-2015年地形因子对土地利用变化的影响程度评价变化值为-0.001 705，变化率为-11.50%；2005-2015年地形因子对土地利用变化的影响程度评价变化值为-0.000 727，变化率为-5.25%。这些数据结果显示，2005-2015年地形因子对土地利用变化的影响程度呈现先增加后减少的趋势。研究结果表明，随着社会经济发展，在人类技术水平的提高、政治经济结构的合理化以及保护生态环境意识和政策等人文驱动因素条件下，地形因子作为影响土地利用变化的自然驱动因素之一，对土地利用变化的影响程度总体呈现减小趋势。该研究可为区域土地利用规划、城市建设和生态环境保护提供重要的数据参考与技术支撑。
关键词:地形因子/
改进指数和法/
土地利用变化/
栾川县
Abstract:Land use change is the interaction result of human activities and natural environment under social and economic impact. Discovering factors affecting land use change is the hot spot and has very important significance for researches on resources, environment and socioeconomic issues. Terrain directly influences land use change. Therefore, it is crucial to explore the extents of terrain affecting the regional land use changes. In order to explain the interaction of human-land system and provide the basis for sustainable land use, environmental protection and ecological reconstruction, we conducted a research on the performance of terrain factors with regard to land use change. The study aimed to explore the influence extents of terrain factors on regional land use change, so as to provide scientific basis for regional land development and land use spatial structure, direction and mode. In view of the existing problems in the research field, based on the natural conditions, land use characteristics and terrain factors of the study area, we chose 12 evaluation indexes from the macro-terrain factors and micro-terrain factors to establish the evaluation index system. Then, a comprehensive evaluation model of terrain factors influencing on land use change was established based on the improved Index Sum method. Indexes weights were determined by combining Entropy method and Decision Alternative Ratio Evaluation System to overcome the objectivity of the Entropy method and improve the rationality of weight determination of the improved Index Sum method. The influencing extent of terrain factors on land use change in Luanchuan County of Henan Province was evaluated using the established method. The results showed that the influencing extents of terrain factors of evaluation, slope, slope direction, slope length, slope direction variability and surface cutting extent increased from 2005 to 2015, while those of slope variability, plane curvature, profile curvature, elevation variation coefficient, terrain relief and terrain roughness decreased. The change in comprehensive influencing extent of terrain factors on land use change was 0.000 978 and the change rate was 7.06% from 2005 to 2010, which were -0.001 705 and -11.50% from 2010 to 2015, and -0.000 727 and -5.25% from 2005 to 2015. These results showed a tendency of increase-decrease of terrain factors influencing extent on land use change from 2005 to 2015. The evaluation results showed that the terrain factors, as the natural driving factors of land use change, had a decreasing trend of influence extent with the social and economic development, improvement of human technology, rationalization of political and economic structure and environment protection. The results provided the important data reference and scientific basis for regional land use planning, urban construction and ecological environment protection.
Key words:Terrain factor/
Improved Index Sum Method/
Land use change/
Luanchuan County
HTML全文
图1研究区2005年(a)、2010年(b)和2015年(c)土地利用分类结果及DEM图(d)
Figure1.Land classification results in 2005 (a), 2010 (b), 2015 (c) and DEM (d) of the study area
下载: 全尺寸图片幻灯片表1研究区2005年、2010年和2015年土地利用分类结果
Table1.Land use classification results in 2005, 2010 and 2015 of the study area
| 土地类型 Land type | 2005年?Year 2005 | 2010年?Year 2010 | 2015年?Year 2015 | |||||
| 面积 Area (hm2) | 比例 Proportion (%) | 面积 Area (hm2) | 比例 Proportion (%) | 面积 Area (hm2) | 比例 Proportion (%) | |||
| 建设用地?Construction land | 5 362.94 | 2.17 | 9 137.50 | 3.69 | 14 307.30 | 5.78 | ||
| 耕地?Arable land | 24 554.40 | 9.91 | 21 941.00 | 8.86 | 20 342.00 | 8.21 | ||
| 林地?Woodland | 213 802.50 | 86.32 | 212 707.40 | 85.87 | 209 183.26 | 84.45 | ||
| 水体?Waters | 2 579.80 | 1.04 | 2 495.70 | 1.01 | 2 328.60 | 0.94 | ||
| 裸地?Bare land | 1 398.76 | 0.56 | 1 416.80 | 0.57 | 1 537.24 | 0.62 | ||
下载: 导出CSV表2研究区地形因子分级标准
Table2.Grading standards of terrain factors in the study area
| 类型 Type | 地形因子 Terrain factor | 级别数 Grade number | 分级标准 Grading criteria |
| 微观地形因子 Micro terrain factors | 高程?Elevation (m) | 4 | 0~839, 839~1 103, 1 103~1 371, 1 371~2 182 |
| 坡度?Slope (°) | 6 | 0~5, 5~15, 15~2, 25~35, 35~45, 45~88 | |
| 坡向 Slope direction | 4 | 阴坡、半阴坡、阳坡、半阳坡 Shady slope, half shady slope, sunny slope, half sunny slope | |
| 坡长?Slope length (m) | 5 | 30~17 541, 17 541~32 722, 32 722~46 132, 46 132~58 907, 58 907~65 535 | |
| 坡度变率 Slope variability (°) | 5 | 1~12, 12~23, 23~35, 35~46, 46~58 | |
| 坡向变率 Slope direction variability (°) | 4 | 0~90, 90~180, 180~270, 270~360 | |
| 平面曲率 Plane curvature | 5 | -386~-144, -144~-81, -81~0, 0~124, 124~396 | |
| 剖面曲率 Profile curvature | 4 | -277~-138, -138~0, 0~138, 138~276 | |
| 宏观地形因子 Macro terrain factors | 高程变异系数 Elevation variation coefficient | 5 | 2~3, 3~5, 5~7, 7~10, 10~12 |
| 地形起伏度 Terrain relief (m) | 5 | 0~23, 23~61, 61~92, 92~128, 128~281 | |
| 地形粗糙度 Terrain roughness | 5 | 1~2, 2~6, 6~11, 11~18, 18~28 | |
| 地表切割度 Surface cutting degree | 5 | 0~31, 31~55, 55~137, 137~284, 284~439 |
下载: 导出CSV表3地形因子对土地利用变化的影响程度评价指标体系
Table3.Evaluation indexes system of influence grade of terrain factors on land use change
| 目标层 Target (V) | 1级指标 First grade index (A) | 2级指标 Second grade index (B) | 3级指标 Third grade index (C) | 4级指标 Fourth grade index (D)1) |
| 地形因子对土地利用变化的影响程度评价 Evaluation of influence extent of terrain factors on land use change | 微观地形因子 Micro terrain factors (A1) | 高程?Elevation (B1) | 地形因子对应的因子等级 Grades of terrain factors (Ci) | 耕地分布指数 Arable land distribution index (D1) 建设用地分布指数 Construction land distribution index (D2) 林地分布指数 Woodland distribution index (D3) 裸地分布指数 Bare land distribution index (D4) 水体分布指数 Waters distribution index (D5) |
| 坡度?Slope (B2) | ||||
| 坡向?Slope direction (B3) | ||||
| 坡长?Slope length (B4) | ||||
| 坡度变率?Slope variability (B5) | ||||
| 坡向变率?Slope direction variability (B6) | ||||
| 平面曲率?Plane curvature (B7) | ||||
| 剖面曲率?Profile curvature (B8) | ||||
| 宏观地形因子 Macro terrain factors (A2) | 高程变异系数 Elevation variation coefficient (B9) | |||
| 地形起伏度?Terrain relief (B10) | ||||
| 地形粗糙度?Terrain roughness (B11) | ||||
| 地表切割度?Surface cutting extent (B12) | ||||
| ??1) 4级指标Di即某种土地类型分布指数, 指的是土地利用类型在3级指标Ci即某种地形因子对应等级下的分布特征。1) The fourth grade indexes (Di) are distribution indexes of land use types, showing the distribution characteristics of land use types under the third grade index (Ci), i. e. grades of the terrain factors. | ||||
下载: 导出CSV表4用于确定评价指标权重的环比评分法(DARE)模型的建立
Table4.Establishment of the DARE model to determine the weights of the evaluation indexes
| 评分对象 Core object (Pj) | 暂定系数 Tentative coefficient (tj) | 修正系数 Correction coefficient (Zj) | 功能评价系数Functional evaluation coefficient (Wj) |
| P1 | t1 | tn-1×…×t3×t2×t1 | Z1/Z |
| P2 | t2 | tn-1×…×t3×t2 | Z2/Z |
| P3 | t3 | tn-1×…×t3 | Z3/Z |
| … | … | … | … |
| Pn-1 | tn-1 | tn-1 | Zn-1/Z |
| Pn | 1 | 1 | 1/Z |
| 合计?Total | Z | 1 |
下载: 导出CSV表5地形因子对土地利用变化的影响程度评价指标体系4级评价指标信息熵值和客观权重
Table5.Information entropy values and objective weights of the fourth grade evaluation indexes of the evaluation indexes system of influence extent of terrain factors on land use change
| 年份 Year | 建设用地分布指数 Construction land distribution index (D1) | 耕地分布指数 Arable land distribution index (D2) | 林地分布指数 Woodland distribution index (D3) | 水体分布指数 Waters distribution index (D4) | 裸地分布指数 Bare land distribution index (D5) | |||||||||
| 信息熵值 Entropy value | 客观权重 Objective weight | 信息熵值 Entropy value | 客观权重 Objective weight | 信息熵值 Entropy value | 客观权重 Objective weight | 信息熵值 Entropy value | 客观权重 Objective weight | 信息熵值 Entropy value | 客观权重 Objective weight | |||||
| 2005 | 1.550 | 0.184 | 1.558 | 0.186 | 1.692 | 0.231 | 0.898 | 0.218 | 1.545 | 0.182 | ||||
| 2010 | 1.527 | 0.176 | 1.588 | 0.197 | 1.574 | 0.192 | 0.899 | 0.215 | 1.661 | 0.221 | ||||
| 2015 | 1.536 | 0.183 | 1.576 | 0.196 | 1.575 | 0.196 | 0.901 | 0.212 | 1.625 | 0.213 | ||||
下载: 导出CSV表6研究区地形因子对土地利用变化的影响程度评价指标体系4级评价指标D-DARE模型
Table6.D-DARE model of the fourth grade evaluation indexes of the evaluation indexes system of influence extent of terrain factors on land use change
| 评价指标对象 Score object (Pj) | 暂定系数 Tentative coefficient (tj) | 修正系数 Correction coefficient (Zj) | 主观权重 Subjective weight (Wj) |
| 建设用地分布指数?Construction land distribution index (D1) | 5 | 120 | 0.784 |
| 耕地分布指数?Arable land distribution index (D2) | 4 | 24 | 0.157 |
| 林地分布指数?Woodland distribution index (D3) | 3 | 6 | 0.039 |
| 水体分布指数?Waters distribution index (D4) | 2 | 2 | 0.013 |
| 裸地分布指数?Bare land distribution index (D5) | 1 | 1 | 0.007 |
| 合计?Total | — | 153 | 1.000 |
下载: 导出CSV表7地形因子对土地利用变化的影响程度评价指标体系4级评价指标综合权重值
Table7.Comprehensive weight values of the fourth grade evaluation indexes of the evaluation indexes system of influence extent of terrain factors on land use change
| 年份 Year | 建设用地分布指数 Construction land distribution index (D1) | 耕地分布指数 Arable land distribution index (D2) | 林地分布指数 Woodland distribution index (D3) | 水体分布指数 Waters distribution index (D4) | 裸地分布指数 Bare land distribution index (D5) |
| 2005 | 0.028 888 | 0.145 824 | 0.009 009 | 0.001 526 | 0.002 366 |
| 2010 | 0.027 632 | 0.154 448 | 0.007 488 | 0.001 505 | 0.002 873 |
| 2015 | 0.028 731 | 0.153 664 | 0.007 644 | 0.001 484 | 0.002 769 |
下载: 导出CSV表82005—2015年研究区地形因子对土地利用变化的影响程度评价结果
Table8.Influencing extents of terrain factors on land use changes in the study area from 2005 to 2015
| 地形因子 Terrain factor | 综合分值?Comprehensive score | 综合分值变化?Change of comprehensive score | ||||||||||
| 2005 | 2010 | 2015 | 2005—2010 | 2010—2015 | 2005—2015 | |||||||
| 变化值 Change value | 变化率 Change rate (%) | 变化值 Change value | 变化率 Change rate (%) | 变化值 Change value | 变化率 Change rate (%) | |||||||
| 高程?Elevation (B1) | 0.017 7 | 0.018 6 | 0.018 9 | 0.000 899 | 5.07 | 0.000 233 | 1.25 | 0.001 132 | 6.38 | |||
| 坡度?Slope (B2) | 0.005 9 | 0.006 5 | 0.006 6 | 0.000 604 | 10.26 | 0.000 115 | 1.77 | 0.000 719 | 12.22 | |||
| 坡向?Slope direction (B3) | 0.012 4 | 0.014 2 | 0.014 8 | 0.001 796 | 14.46 | 0.000 628 | 4.42 | 0.002 424 | 19.51 | |||
| 坡长?Slope length (B4) | 0.003 6 | 0.003 9 | 0.004 3 | 0.000 367 | 10.27 | 0.000 311 | 7.89 | 0.000 678 | 18.98 | |||
| 坡度变率?Slope variability (B5) | 0.110 8 | 0.102 0 | 0.100 7 | -0.008 793 | -7.94 | -0.001 282 | -1.26 | -0.010 075 | -9.09 | |||
| 坡向变率 Slope direction variability (B6) | 0.010 3 | 0.010 1 | 0.010 7 | -0.000 251 | -2.43 | 0.000 626 | 6.21 | 0.000 375 | 3.63 | |||
| 平面曲率?Plane curvature (B7) | 0.003 8 | 0.003 4 | 0.002 6 | -0.000 381 | -10.11 | -0.000 742 | -21.89 | -0.001 123 | -29.79 | |||
| 剖面曲率?Profile curvature (B8) | 0.040 0 | 0.048 6 | 0.033 2 | 0.008 565 | 21.40 | -0.015 390 | -31.67 | -0.006 825 | -17.05 | |||
| 高程变异系数 Elevation variation coefficient (B9) | 0.011 6 | 0.012 0 | 0.008 6 | 0.000 419 | 3.63 | -0.003 327 | -27.79 | -0.002 908 | -25.17 | |||
| 地形起伏度?Terrain relief (B10) | 0.006 0 | 0.006 4 | 0.005 7 | 0.000 427 | 7.12 | -0.000 721 | -11.23 | -0.000 294 | -4.90 | |||
| 地形粗糙度 Terrain roughness (B11) | 0.108 8 | 0.116 0 | 0.103 3 | 0.007 189 | 6.61 | -0.012 696 | -10.95 | -0.005 507 | -5.06 | |||
| 地表切割度 Surface cutting extent (B12) | 0.044 1 | 0.051 0 | 0.044 3 | 0.006 914 | 15.69 | -0.006 665 | -13.07 | 0.000 249 | 0.56 | |||
下载: 导出CSV表92005—2015年研究区地形因子类型对土地利用变化的影响程度评价结果
Table9.Changes in influencing extents of different types to terrain factors on land use changes in the study area from 2005 to 2015
| 地形因子类型 Terrain factors type | 2005—2010 | 2010—2015 | 2005—2015 | |||||
| 变化值 Change value | 变化率 Change rate (%) | 变化值 Change value | 变化率 Change rate (%) | 变化值 Change value | 变化率 Change rate (%) | |||
| 微观地形因子?Micro terrain factors | 0.000 351 | 1.37 | -0.001 938 | -7.48 | -0.001 587 | -6.21 | ||
| 宏观地形因子?Macro terrain factors | 0.003 737 | 8.77 | -0.005 852 | -12.63 | -0.002 115 | -4.96 | ||
下载: 导出CSV表102005—2015年地形因子对土地利用变化影响程度的综合评价结果及变化情况
Table10.Comprehensive evaluation results and changes of influencing extents of terrain factors on land use changes in the study area from 2005 to 2015
| 评价结果?Evaluation result | 综合分值变化?Change of evaluation result | ||||||||||
| 2005 | 2010 | 2015 | 2005—2010 | 2010—2015 | 2005—2015 | ||||||
| 变化值 Change value | 变化率 Change rate (%) | 变化值 Change value | 变化率 Change rate (%) | 变化值 Change value | 变化率 Change rate (%) | ||||||
| 0.013 846 | 0.014 824 | 0.013 119 | 0.000 978 | 7.06 | -0.001 705 | -11.50 | -0.000 727 | -5.25 | |||
下载: 导出CSV参考文献
| [1] | 封建民, 郭玲霞.陕西省神木县土地利用格局和生态服务价值变化[J].水土保持通报, 2014, 34(6): 293-298 http://d.wanfangdata.com.cn/Periodical_stbctb201406054.aspx FENG J M, GUO L X. Land use patterns and ecosystem service values change in Shenmu County of Shaanxi Province[J]. Bulletin of Soil and Water Conservation, 2014, 34(6): 293-298 http://d.wanfangdata.com.cn/Periodical_stbctb201406054.aspx |
| [2] | 李丹, 刘丹丹, 赵金祥.基于DEM的山区土地利用变化分析[J].水土保持研究, 2014, 21(1): 66-70 http://d.wanfangdata.com.cn/Periodical_chtb200706016.aspx LI D, LIU D D, ZHAO J X. Analysis of land use change in mountain area based on DEM[J]. Research of Soil and Water Conservation, 2014, 21(1): 66-70 http://d.wanfangdata.com.cn/Periodical_chtb200706016.aspx |
| [3] | WOOD J. The geomorphological characterisation of digital elevation models[D]. Leicester: University of Leicester, 1996 https://www.researchgate.net/publication/244444926_The_Geomorphological_Characterisation_of_Digital_Elevation_Models |
| [4] | SHARY P A, SHARAYA L S, MITUSOV A V. Fundamental quantitative methods of land surface analysis[J]. Geoderma, 2002, 107(1/2): 1-32 https://www.researchgate.net/publication/223209135_Fundamental_quantitative_methods_of_land_surface_analysis |
| [5] | 侯明行, 刘红玉, 张华兵, 等.地形因子对盐城滨海湿地景观分布与演变的影响[J].生态学报, 2013, 33(12): 3765-3773 https://www.cnki.com.cn/qikan-ZRZX201505006.html HOU M H, LIU H Y, ZHANG H B, et al. Influences of topographic features on the distribution and evolution of landscape in the coastal wetland of Yancheng[J]. Acta Ecologica Sinica, 2013, 33(12): 3765-3773 https://www.cnki.com.cn/qikan-ZRZX201505006.html |
| [6] | 宫继萍, 石培基, 杨雪梅, 等.干旱区内陆河流域景观格局及其与环境因子的关系研究——以石羊河流域为例[J].土壤, 2013, 45(1): 143-151 http://cqvip.com/QK/94853X/201301/45234476.html GONG J P, SHI P J, YANG X M, et al. Spatial gradient pattern of landscapes and their relations with environmental factors in the inland river basin of arid regions: A case of Shiyang River Basin[J]. Soils, 2013, 45(1): 143-151 http://cqvip.com/QK/94853X/201301/45234476.html |
| [7] | 邓欧平, 周稀, 黄萍萍, 等.川中紫色丘区土壤养分空间分异与地形因子相关性研究[J].资源科学, 2013, 35(12): 2434-2443 http://www.dqxxkx.cn/CN/abstract/abstract38956.shtml DENG O P, ZHOU X, HUANG P P, et al. Correlations between spatial variability of soil nutrients and topographic factors in the purple hilly region of Sichuan[J]. Resources Science, 2013, 35(12): 2434-2443 http://www.dqxxkx.cn/CN/abstract/abstract38956.shtml |
| [8] | 郭月峰, 姚云峰, 秦富仓, 等.地形因子对老哈河流域土壤有机碳的影响[J].干旱区资源与环境, 2014, 28(2): 156-161 http://d.wanfangdata.com.cn/Periodical_ghqzyyhj201402027.aspx GUO Y F, YAO Y F, QIN F C, et al. Impact of terrain factors on soil organic carbon in Laoha River Basin[J]. Journal of Arid Land Resources and Environment, 2014, 28(2): 156-161 http://d.wanfangdata.com.cn/Periodical_ghqzyyhj201402027.aspx |
| [9] | 哈凯, 丁庆龙, 门明新, 等.山地丘陵区土地利用分布及其与地形因子关系——以河北省怀来县为例[J].地理研究, 2015, 34(5): 909-921 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlyj201505010 HA K, DING Q L, MEN M X, et al. Spatial distribution of land use and its relationship with terrain factors in hilly area[J]. Geographical Research, 2015, 34(5): 909-921 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlyj201505010 |
| [10] | 郑亚运, 赵清, 黄巧华, 等.济南市南部山区土地利用变化与地形因子关系研究[J].水土保持研究, 2016, 23(6): 149-153 http://www.cnki.com.cn/Journal/D-D1-STBY-2016-04.htm ZHENG Y Y, ZHAO Q, HUANG Q H, et al. Research on the relationship between land use change and terrain factors in the south mountain area of Ji'nan, Shandong Province, China[J]. Research of Soil and Water Conservation, 2016, 23(6): 149-153 http://www.cnki.com.cn/Journal/D-D1-STBY-2016-04.htm |
| [11] | 罗娅, 杨胜天, 刘晓燕, 等.黄河河口镇—潼关区间1998—2010年土地利用变化特征[J].地理学报, 2014, 69(1): 42-53 doi: 10.11821/dlxb201401004 LUO Y, YANG S T, LIU X Y, et al. Land use change in the reach from Hekouzhen to Tongguan of the Yellow River during 1998-2010[J]. Acta Geographica Sinica, 2014, 69(1): 42-53 doi: 10.11821/dlxb201401004 |
| [12] | 郭洪峰, 许月卿, 吴艳芳.基于地形因子的大都市边缘区土地利用变化分析——以北京市平谷区为例[J].中国农业大学学报, 2013, 18(1): 178-187 https://www.wenkuxiazai.com/doc/761c14961eb91a37f0115c5d.html GUO H F, XU Y Q, WU Y F. Land use change in metropolitan fringe based on topography factors: A case study of Pinggu District, Beijing[J]. Journal of China Agricultural University, 2013, 18(1): 178-187 https://www.wenkuxiazai.com/doc/761c14961eb91a37f0115c5d.html |
| [13] | 周亮, 文仕知, 李铁华, 等.河南省栾川县林业发展的现状及对策[J].河南林业科技, 2012, 32(1): 22-25 http://www.cqvip.com/QK/90289X/201201/41606755.html ZHOU L, WEN S Z, LI T H, et al. Forestry development's present situation and counter measure of Luanchuan County, Henan Province[J]. Journal of Henan Forestry Science and Technology, 2012, 32(1): 22-25 http://www.cqvip.com/QK/90289X/201201/41606755.html |
| [14] | 白洪伟, 辛博爵.基于ENVI的宿州市土地利用动态变化分析[J].阴山学刊:自然科学版, 2016, 30(4): 68-70 https://www.hanspub.org/journal/PaperInformation.aspx?paperID=21365 BAI H W, XIN B J. Analysis of land use dynamic change in Suzhou city based on ENVI[J]. Yinshan Academic Journal: Natural Science Edition, 2016, 30(4): 68-70 https://www.hanspub.org/journal/PaperInformation.aspx?paperID=21365 |
| [15] | 白洪伟, 徐洋洋.基于ENVI和ArcGIS的合肥市土地利用/覆被变化分析[J].沈阳大学学报:自然科学版, 2016, 28(5): 365-372 http://www.doc88.com/p-1146939838560.html BAI H W, XU Y Y. Analysis of land use/cover change in Hefei City based on ENVI and ArcGIS[J]. Journal of Shenyang University: Natural Science, 2016, 28(5): 365-372 http://www.doc88.com/p-1146939838560.html |
| [16] | 钟德燕, 常庆瑞, 宋丰骥.黄土丘陵沟壑区土地利用空间分布与地形因子关系研究[J].干旱区资源与环境, 2012, 26(6): 102-108 http://www.cnki.com.cn/Article/CJFDTOTAL-GHZH201206019.htm ZHONG D Y, CHANG Q R, SONG F J. Relationship between terrain factors and spatial distribution of land use in loess hilly and gully area[J]. Journal of Arid Land Resources and Environment, 2012, 26(6): 102-108 http://www.cnki.com.cn/Article/CJFDTOTAL-GHZH201206019.htm |
| [17] | 李欣, 叶长盛, 吕雪.基于地形因子的鄱阳湖地区土地利用格局变化分析[J].水土保持研究, 2017, 24(4): 210-218 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=stbcyj201704036 LI X, YE C S, LYU X. Analysis of land use pattern change in Poyang Lake region based on the topographic factor[J]. Research of Soil and Water Conservation, 2017, 24(4): 210-218 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=stbcyj201704036 |
| [18] | 张万红, 陈振斌.基于层次分析法的和谐矿区评价体系研究[J].中国矿业大学学报, 2007, 36(6): 848-852 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=zgkd200706027&dbname=CJFD&dbcode=CJFQ ZHANG W H, CHEN Z B. Assessment system of harmonious mining area based on analytic hierarchy process[J]. Journal of China University of Mining & Technology, 2007, 36(6): 848-852 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=zgkd200706027&dbname=CJFD&dbcode=CJFQ |
| [19] | 骆延青, 赵俊三.基于层次分析法的华坪县地质环境承载力评价[J].安徽农业科学, 2016, 44(21): 64-66 doi: 10.3969/j.issn.0517-6611.2016.21.022 LUO Y Q, ZHAO J S. Assessment of geological environment carrying capacity of Huaping County based on AHP[J]. Journal of Anhui Agricultural Sciences, 2016, 44(21): 64-66 doi: 10.3969/j.issn.0517-6611.2016.21.022 |
| [20] | 陈延辉, 吴怀静.基于熵权DPSIR模型的宁县土地利用规划环境影响评价研究[J].西北师范大学学报:自然科学版, 2016, 52(1): 130-134 https://mall.cnki.net/qikan-HJWR200406021.html CHEN Y H, WU H J. The land use planning environmental impact assessment based on entropy weight DPSIR in Ningxian County[J]. Journal of Northwest Normal University: Natural Science, 2016, 52(1): 130-134 https://mall.cnki.net/qikan-HJWR200406021.html |
| [21] | 梁叶萍, 毕如田.基于指数和法和极限条件法的矿区土地适宜性评价——以孟家窑煤矿为例[J].山西农业大学学报:自然科学版, 2014, 34(5): 436-441 http://d.wanfangdata.com.cn/Periodical_sxnydxxb201405011.aspx LIANG Y P, BI R T. The evaluation of land suitability in mining area based on the indexes and limit conditions — Mengjiayao Coal Mine[J]. Journal of Shanxi Agricultural University: Natural Science Edition, 2014, 34(5): 436-441 http://d.wanfangdata.com.cn/Periodical_sxnydxxb201405011.aspx |
| [22] | 杨志超, 张成龙, 葛乐, 等.基于熵权法的绝缘子污闪状态模糊综合评价[J].电力自动化设备, 2014, 34(4): 90-94 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlzdhsb201404016 YANG Z C, ZHANG C L, GE L, et al. Comprehensive fuzzy evaluation based on entropy weight method for insulator flashover pollution[J]. Electric Power Automation Equipment, 2014, 34(4): 90-94 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlzdhsb201404016 |
| [23] | 陈志刚, 周丹.基于环比倍乘评分法的上海市创新型城市阶段评价[J].消费导刊, 2008, (16): 175 http://www.cnki.com.cn/Article/CJFDTotal-JHLZ201402008.htm Chen Z G, Zhou D. Evaluation of Shanghai's innovative city stage based on ring multiplication scoring method[J]. Consume Guide, 2008, (16): 175 http://www.cnki.com.cn/Article/CJFDTotal-JHLZ201402008.htm |
| [24] | 刘纪远.中国资源环境遥感宏观调查与动态研究[M].北京:中国科学技术出版社, 1996 LIU J Y. Macro-Scale Survey and Dynamic Study of Natural Resources and Environment of China by Remote Sensing[M]. Beijing: China Science and Technology Press, 1996 |
