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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (4) : 156-162     DOI: 10.6046/gtzyyg.2018.04.23
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Research on land use suitability evaluation: A case study of Savan water economic zone in Laos
Qiao HUANG1, Yuling PENG1(), Wenjie QIN2
1. School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan 430073, China
2. Kunming Engineering Corporation Limited, Power China, Kunming 650000, China
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Abstract  

In view of the situation of the natural condition, social environment, economic development, and land use status in Savan water economic zone in Laos, a land use suitability evaluation was carried out in this paper. The suitability of the agricultural land, forest land, and construction land in the study area was evaluated by integratedly using the analytic hierarchy process method, Delphi method, and ArcGIS spatial analysis technology. Through the evaluation of single-factor suitability and comprehensive suitability, the spatial optimal allocation direction of land use was proposed. The results show that it is suitable to allocate agricultural land in fertile regions along the Mekong River which is located in the west of the study area. The forest land is suitable to be allocated in the northern and southeastern mountainous regions of the study area. The construction land is suitable to be allocated in the flat regions with well-developed infrastructures, which are located in the southwest of Savan water economic zone. This study can provide data support for the land use allocation in Savan water economic zone, Laos. Furthermore, the research findings also provide experience and references for land use allocation in similar regions in Southeast Asia.
Keywords land use suitability evaluation      GIS      analytic hierarchy process (AHP) method      Delphi method      Savan water economic zone in Laos     
:  F301.2  
Corresponding Authors: Yuling PENG     E-mail: yulingpengwit@163.com
Issue Date: 07 December 2018
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Qiao HUANG
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Wenjie QIN
Cite this article:   
Qiao HUANG,Yuling PENG,Wenjie QIN. Research on land use suitability evaluation: A case study of Savan water economic zone in Laos[J]. Remote Sensing for Land & Resources, 2018, 30(4): 156-162.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.04.23     OR     https://www.gtzyyg.com/EN/Y2018/V30/I4/156
Fig.1  Location of the research area
Fig.2  Research roadmap of land use suitability evaluation
评价因子 适宜性等级
一级 一级权重 二级 二级权重 一等 二等 三等 四等
地形因子 0.15 高程/km 0.29 [0,0.2) [0.2,0.4) [0.4,0.8) [0.8,2.3]
坡度/(°) 0.71 [0,5) [5,10) [10,15) [15,90]
土壤因子 0.41 土壤质地 0.40 砂质黏土、壤土 砂质壤土 轻质黏土 水域(无土)
有机质含量/% 0.60 [1.2,1.7] [1.0,1.2) [0.9,1.0) [0,0.9)
区位因子 0.23 距水源平均距离/km 0.46 [0,5) [5,10) [10,15) [15,45]
路网密度/(km·km-2) 0.36 [1.0,72.7) [0.5,1.0) [0.1,0.5) [0,0.1)
人口密度(人·km-2) 0.18 [80,223] [50,80) [20,50) [0,20)
土地利用因子 0.21 植被覆盖率 0.43 [0,0.5) [0.5,0.6) [0.6,0.8) [0.8,1.00)
保护区面积比重/% 0.57 0 (0,10] (10,100) 100
Tab. 1  Weights and grades of agricultural land suitability evaluation factors
评价因子 适宜性等级
一级 一级权重 二级 二级权重 一等 二等 三等 四等
地形因子 0.11 高程/km 0.34 [0,0.2) [0.2,0.4) [0.4,1.0) [1.0,2.3]
坡度/(°) 0.66 [0,10) [10,15) [15,25) [25,90]
土壤因子 0.36 土壤质地 0.38 壤土 砂质黏土、砂质壤土 轻质黏土 水域(无土)
有机质含量/% 0.62 [1.2,1.7] [1.0,1.2) [0.9,1.0) [0,0.9)
区位因子 0.23 距水源平均距离/km 0.44 [0,10) [10,20) [20,30) [30,45]
路网密度/(km·km-2) 0.37 [0,0.2) [0.2,1.0) [1.0,5.0) [5.0,72.7]
人口密度/(人·km-2) 0.19 [0,20) [20,50) [50,100) [100,223]
土地利用因子 0.30 植被覆盖率 0.27 [0.7,1.0] [0.6,0.7) [0.5,0.6) [0,0.5)
保护区面积比重/% 0.73 (50,100] (10,50] (0,10] 0
Tab.2  Weights and grades of forest land suitability evaluation factors
评价因子 适宜性等级
一级 一级权重 二级 二级权重 一等 二等 三等 四等
地形因子 0.33 高程/km 0.35 [0,0.2) [0.2,0.4) [0.4,0.6) [0.6,2.3]
坡度/(°) 0.65 [0,5) [5,8) [8,10) [10,90]
区位因子 0.48 距水源平均距离/km 0.16 [0,5) [5,10) [10,15) [15,45]
路网密度/(km·km-2) 0.36 [5.0,72.7] [1.0,5.0) [0.2,1.0) [0,0.2)
人口密度/(人·km-2) 0.48 [100,223] [50,100) [20,50) [0,20)
土地利用因子 0.19 植被覆盖率 0.32 [0,0.5) [0.5,0.6) [0.6,0.8) [0.8,1.0]
保护区面积比重/% 0.68 0 (0,10] (10,50] (50,100]
Tab.3  Weights and grades of construction land suitability evaluation factors
等级 适宜性 农业用地 林业用地 建设用地
一等 高度适宜 6 024.75 15 669.48 9 527.94
二等 中度适宜 12 866.52 15 227.86 6 876.66
三等 勉强适宜 11 618.57 5 874.50 7 665.32
四等 不适宜 7 553.76 1 291.75 13 993.68
Tab.4  Suitability evaluation results of agricultural land, forest land and construction land(km2)
Fig.3  Spatial suitability map of agricultural land in the research area
Fig.4  Spatial suitability map of forest land in the research area
Fig.5  Spatial suitability map of construction land in the research area
[1] 焦胜, 李振民, 高青 , 等. 景观连通性理论在城市土地适宜性评价与优化方法中的应用[J]. 地理研究, 2013,32(4):720-730.
doi: 10.11821/yj2013040015 url: http://www.cqvip.com/QK/95732X/201304/45616608.html
[1] Jiao S, Li Z M, Gao Q , et al. The application of landscape connectivity theory in urban ecology suitability assessment and optimization[J]. Geographical Research, 2013,32(4):720-730.
[2] Shi D . Land reclamation suitability evaluation based on the limit method[J]. Applied Mechanics and Materials, 2013,253:1069-1074.
doi: 10.4028/www.scientific.net/AMM.253-255.1069 url: http://www.scientific.net/AMM.253-255.1069
[3] Gong J, Liu Y, Chen W . Land suitability evaluation for development using a matter-element model:A case study in Zengcheng,Guangzhou,China[J]. Land Use Policy, 2012,29(2):464-472.
doi: 10.1016/j.landusepol.2011.09.005 url: https://linkinghub.elsevier.com/retrieve/pii/S0264837711000986
[4] 李红波, 张慧, 赵俊三 , 等. 基于元胞生态位适宜度模型的低丘缓坡土地开发建设适宜性评价[J]. 中国土地科学, 2014,28(6):23-29,97.
doi: 10.3969/j.issn.1001-8158.2014.06.004 url: http://www.cqvip.com/QK/96793X/201406/663769670.html
[4] Li H B, Zhang H, Zhao J S , et al. Evaluation on land suitability for development and construction in low hill and gentle slope area based on CA-niche-suitability model[J]. China Land Sciences, 2014,28(6):23-29,97.
[5] 陈应跃, 甘淑, 田禹东 , 等. 山区土地评价的GIS空间分析建模研究[J]. 国土资源遥感, 2015,27(2):196-200.doi: 10.6046/gtzyyg.2015.02.30.
doi: 10.6046/gtzyyg.2015.02.30 url: http://d.wanfangdata.com.cn/Periodical/gtzyyg201502031
[5] Chen Y Y, Gan S, Tian Y D , et al. GIS spatial modeling in mountainous land evaluation[J]. Remote Sensing for Land and Resources, 2015,27(2):196-200.doi: 10.6046/gtzyyg.2015.02.30.
[6] 彭玉玲, 林爱文, 王珂 , 等. GIS支持下的工矿废弃地复垦利用方案决策研究——以湖北省黄石市阳新县七约山矿区为例[J]. 水土保持通报, 2015,35(2):297-301.
[6] Peng Y L, Lin A W, Wang K , et al. GIS-based program decision-making in reclamation and utilization of industrial and mining wasteland:A case study at Qiyueshan mining area of Yangxin County,Huangshi City,Hubei Province[J]. Bulletin of Soil and Water Conservation, 2015,35(2):297-301.
[7] 彭玉玲, 林爱文, 王珂 , 等. 资源枯竭型城市的工矿废弃地复垦利用综合效益评价——以黄石市七约山矿区为例[J]. 国土资源遥感, 2015,27(3):161-166.doi: 10.6046/gtzyyg.2015.03.25.
doi: 10.6046/gtzyyg.2015.03.25 url: http://www.cqvip.com/QK/91397X/201503/665774270.html
[7] Peng Y L, Lin A W, Wang K , et al. Comprehensive benefits evaluation of mining wasteland reclamation and utilization in resource-exhausted cities:A case study of the Qiyueshan mining area,Huangshi City[J]. Remote Sensing for Land and Resources, 2015,27(3):161-166.doi: 10.6046/gtzyyg.2015.03.25.
[8] 娄胜霞 . 基于GIS技术的人居环境自然适宜性评价研究——以遵义市为例[J]. 经济地理, 2011,31(8):128-133.
url: http://d.wanfangdata.com.cn/Periodical_jjdl201108022.aspx
[8] Lou S X . Evaluation of natural suitability for human settlement of Zunyi Region based on GIS[J]. Economic Geography, 2011,31(8):128-133.
[9] 袁沫汐, 彭玉玲, 林爱文 , 等. 老挝沙湾水经济区生态用地利用评价[J]. 水土保持通报, 2017,37(1):234-240.
[9] Yuan M X, Peng Y L, Lin A W , et al. Evaluation on ecological land use in Savan water economic zones of Laos[J]. Bulletin of Soil and Water Conservation, 2017,37(1):234-240.
[10] 林爱文, 詹璇, 彭玉玲 , 等. 大湄公河次区域土地利用功能分区研究——以老挝中部地区为例[J]. 测绘与空间地理信息, 2016,( 11):1-5.
[10] Lin A W, Zhan X, Peng Y L , et al. Study on functional zoning of land use in the Greater Mekong Sub-region:A case study of central Laos[J]. Geomatics and Spatial Information Technology, 2016,39(11):1-5.
[11] 温华特 . 城市建设用地适宜性评价研究——以金华市区为例[D]. 杭州:浙江大学, 2006.
[11] Wen H T . Study on Urban Constructive Land Suitability Evaluation:Take Jinhua for Example[D]. Hangzhou:Zhejiang University, 2006.
[12] 张紫昭, 郭瑞清, 周天生 , 等. 新疆煤矿土地复垦为草地的适宜性评价方法与应用[J]. 农业工程学报, 2015,31(11):278-286.
doi: 10.11975/j.issn.1002-6819.2015.11.040 url: http://www.cqvip.com/QK/90712X/201511/665153702.html
[12] Zhang Z Z, Guo R Q, Zhou T S , et al. Suitability evaluation method and application for land reclamation to grassland in Xinjiang coal mines[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015,31(11):278-286.
[13] 李伟芳, 俞腾, 李加林 , 等. 海岸带土地利用适宜性评价——以杭州湾南岸为例[J]. 地理研究, 2015,34(4):701-710.
doi: 10.11821/dlyj201504009 url: http://www.cqvip.com/QK/95732X/201504/1005686407.html
[13] Li W F, Yu T, Li J L , et al. Suitability evaluation of land use in coastal zones:A case study in southern Hangzhou Bay[J]. Geographical Research, 2015,34(4):701-710.
[14] 刘焱序, 王仰麟, 彭建 , 等. 耦合恢复力的林区土地生态适宜性评价——以吉林省汪清县为例[J]. 地理学报, 2015,70(3):476-487.
doi: 10.11821/dlxb201503010 url: http://d.wanfangdata.com.cn/Periodical/dlxb201503010
[14] Liu Y X, Wang Y L, Peng J , et al. Land ecological suitability assessment for forest coupled with the resilience perspective:A case study in Wangqing County,Jilin Province,China[J]. Acta Geographica Sinica, 2015,70(3):476-487.
[15] 刘军, 詹然, 孙蔚 . 基于GIS的天津市滨海新区耕地适宜性评价[J]. 国土资源遥感, 2016,28(3):160-165.doi: 10.6046/gtzyyg.2016.03.25.
doi: 10.6046/gtzyyg.2016.03.25 url: http://d.wanfangdata.com.cn/Periodical/gtzyyg201603025
[15] Liu J, Zhan R, Sun W . Evaluation of cultivated land suitability for Binhai New Area of Tianjin based on GIS[J]. Remote Sensing for Land and Resources, 2016,28(3):160-165.doi: 10.6046/gtzyyg.2016.03.25.
[16] 金志丰, 陈雯, 孙伟 , 等. 基于土地开发适宜性分区的土地空间配置——以宿迁市区为例[J]. 中国土地科学, 2008,22(9):43-50.
doi: 10.3969/j.issn.1001-8158.2008.09.008 url: http://d.wanfangdata.com.cn/Periodical_zhonggtdkx200809008.aspx
[16] Jin Z F, Chen W, Sun W , et al. Spatial allocation of land use based on regionalization by land development suitability:A case of urban area of Suqian City[J]. China Land Science, 2008,22(9):43-50.
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