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Scenario simulation and forecast of land use/cover in northern china

Chinese science Bulletin 2008年第9期53卷 1401-1412页

作者： li yuechen 1,2,3.& he chunyang 3.1 college of geographical science, chongqing Normal University,{3.,{4. 2 college of Resources and Environmental science, chongqing University,{3.,{4. 3.college of Resources science & Technology, Beijing Normal University, Beijing 100875,{4. college of geographical science Chongqing Normal University Chongqing 400047 China college of Resources and Environmental science Chongqing University Chongqing 400044 China college of Resources science & Technology Beijing Normal University Beijing 100875 China

Modeling land use/cover scenario changes and its potential impacts on structure and functions of ecosystem in typical regions are helpful to understanding the interactive mechanism between land use/cover system and ecosystem. Based on the analysis of the existing land use/cover simulation and forecast models, a land use/cover scenario dynamics model by the integration of System Dynamics (SD) model, Back Propagation Neural Network (BPNN) and Cellular Automata (CA) model is developed with land use/cover scenario changes in northern china in the next 30 years and simulated in this paper. The model is to simulate the land use/cover scenario demands by using a SD model at first, and then allocating the land use scenario patterns at the local scale with the considerations of land use/cover suitability, inheritance ability and neighborhood effect by using BPNN-CA model to satisfy the balance between land use/cover scenario demands and supplies. It integrates the advantages of SD, BPNN and CA. Macro-driving factors and the micro-spatial pattern are also fully taken into account. The BPNN simplifies the identification of the factors’ weights used in CA model and improves the reliability of the simulation results. The simulation accuracy of the model developed in this paper was found to be about 74.. It suggests that the model has the ability to reflect the complexity of land use/cover system at different scales to some extent and it is a useful tool for assessing the potential impacts of land use system on ecosystem. The simulated results also indicate that the urban land, water area and forest will increase significantly, and farmland and unable land will decrease gradually. Obvious land use/cover changes will take place in the farming-pastoral zone and the southeast area of northern china.

关键词：土地利用中国北方细胞自动机系统动力学

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Land cover dynamic changes in northern china： 1989-2003

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Journal of geographical sciences 2008年第1期18卷 85-94页

作者： li yuechen college of geographical science Chongqing Normal University Chongqing 400047 China college of Resources and Environmental science Chongqing University Chongqing 400044 China college of Resources science ＆ Technology Beijing Normal University Beijing 100875 China

The 13.provinces （autonomous regions and municipalities） in northern{3. are located in latitude 3.°-54.N and longitude 73.-13.°E including Beijing, Tianjin, hebei, Shanxi, Inner Mongolia, Jilin, liaoning, heilongjiang, Shaanxi, Gansu, Ningxia, Qinghai, and Xinjiang, where environments are fragile. In recent years, the eco-environmental problems such as vegetation destruction, desertification and soil erosion etc. become serious because of climate change and unreasonable human activities. In this paper, landscape pattern and its evolution in northern{3. from 1989 to 2003.was investigated by the combined use of RS and GIS based on the basic theory and method of landscape ecology. Land use/cover maps of the study area in 1989, 1999 and 2003.were produced by using 1 km monthly NOAA Advanced Very High Resolution Radiometer （AVHRR） and SPOTNGT Normalized Difference Vegetation Index （NDVI） dataset from national climate bureau of{3. which were geo-registered to Lambert azimuthal equal-area map projection and were used in the paper. Landscape evolution in the area over the study period was investigated by two methods：（a） the changes of various landscape metrics were analyzed using the landscape structure analysis program FRAGSTATS; （b） the transition matrix of landscape patch types was calculated with the help of the RS and GIS software. The results showed that from 1989 to 2003. the landscape within the study area had undertaken a complicated evolution in landscape structure and composition. The diversity index and evenness index increased during the period, which means that the landscape pattern tended to be diversified and even. The fragmentation index of grassland, forestland and water areas also increased significantly. This showed that the distribution and structure of forestland, grassland and water areas had been changed greatly during the period, especially grassland which became more and more fragmentized, and its fragmentation index increased from 19.23.

关键词： landscape pattern land use/cover northern china

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Evaluation on the human settlements environment suitability in the Three Gorges Reservoir Area of {3. based on RS and GIS

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Journal of geographical sciences 2011年第2期21卷 346-358页

作者： li yuechen college of Geography and Tourism Chongqing Normal University Chongqing 400047 China Key Laboratory of GIS Application Chongqing Municipal Education Commission Chongqing 400047 China

To explore geographical differences in quantitative characteristics and spatial pattern of human settlements environmental suitability （HSES） in the Three Gorges Reservoir Area （TGRA）, terrain, climate, hydrology, vegetation and other natural factors were selected to build the livable environmental evaluation, and the quantitative analysis was conducted through Remote Sensing（RS） and Geographic Informational System （GIS） to reveal geo- graphical characteristics and spatial patterns of HSES. The results are obtained as follows：（1） inhabitants of the TGRA of chongqing are concentrated in the area with moderate *** HSES, which is 78% of the total population distributed in {13.% of the study area; （2） the HSES is closely related to the terrain, and it forms an arc-banded spatial succession pattern： relatively low in the northeast and the southeast while comparatively high in the west and the south; （3. large numbers of people are distributed in the area with low suitability （with higher population density than the average of the western china）, but economic development level in these areas is quite low. Moreover, these areas are ecological sensitive and fragile, many kinds of eco-environmental problems have been caused by human activities. Therefore, population migration and layout are reasonable options for the development of these areas.

关键词： Three Gorges Reservoir Area of chongqing human settlements environment suitability GIS RS

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Spatiotemporal features of soil and water loss in Three Gorges Reservoir Area of chongqing

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Journal of geographical sciences 2009年第1期19卷 81-94页

作者：李月臣刘春霞袁兴中 college of Resources and Environmental science Chongqing University college of geographical science Chongqing Normal University Key Laboratory of GIS Application Chongqing Municipal Education Commission

Soil and water loss has been the most serious eco-environmental problem in the Three Gorges Reservoir Area of *** this paper the authors studied the spatiotemporal features of soil and water loss from 1999 to 2004.based on RS and GIS *** results showed that:(1) The soil and water loss area decreased from 1999 to 2004.(2) Soil and water loss mainly exists in purple soil,yellow soil,limestone soil,paddy soil and yellow brown soil distributed areas.(3. The dry slope land and sparse woodland that are intensively influenced by human activities experienced most serious soil and water loss.(4. Soil and water loss in the study area indicated an obvious vertical differentiation characteristic.(5) There is a significant correlation between soil and water loss and slope.(6) There is no obvious correlation between soil and water loss and aspect.(7) Soil and water loss mainly exists in the values of R between 3.0 and 3.4} distribution *** very-high soil and water loss has obvious correlation with R.

关键词： soil and water loss chongqing Three Gorges Reservoir Area

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基于地理加权相关的区域经济与民航运输空间关系分析

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重庆师范大学学报（自然科学版） 2019年第4期36卷 122-130页

作者：汪言在李月臣汪洋重庆市高校地理信息系统应用研究重点实验室重庆师范大学地理与旅游学院重庆401331

【目的】以第三产业增加值为经济增长需求指标,以旅客吞吐量、货邮吞吐量为民航运输生产供给指标,分析区域经济增长与民航运输生产的空间关系。【方法】使用地理加权相关分析计算地理加权相关系数,使用经验正交函数分析空间相关性变化... 详细信息

【目的】以第三产业增加值为经济增长需求指标,以旅客吞吐量、货邮吞吐量为民航运输生产供给指标,分析区域经济增长与民航运输生产的空间关系。【方法】使用地理加权相关分析计算地理加权相关系数,使用经验正交函数分析空间相关性变化的主要空间分布模式。【结果】第三产业与民航运输的空间相关性整体呈东部弱-西部强分布结构;近年来,第三产业与民航运输生产的空间相关性整体呈减弱变化趋势,中西部地区二者相关性逐年减弱是导致全国空间相关性减弱的主要驱动因素;通常情况下,省市经济规模越大,则它的第三产业与民航运输的相关性越弱。【结论】受经济产业活动聚集效应影响,东部发达省市经济增长对民航运输的依赖性普遍较弱,中西部省市对民航运输的依赖性较强;尽管近年来全国尺度上经济活动对民航运输的依赖性逐年减弱,但在经济增速放缓背景下,民航运输对中东部省市经济增长的拉动作用逐年增强。

关键词：民航运输区域经济增长空间关系地理加权相关

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重庆市战略性新兴产业空间集聚测度及时空演变分析

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重庆师范大学学报（自然科学版） 2018年第5期35卷 63-71页

作者：祝汉收刘春霞李月臣重庆师范大学地理与旅游学院重庆师范大学三峡生态环境遥感研究所重庆市高校GIS应用研究重点实验室重庆401331

【目的】战略性新兴产业能够带动未来区域经济的发展,深入研究这些产业的空间特征对区域内产业空间结构优化调整有重大意义。【方法】运用Ripley’s K函数、核密度分析等方法研究了战略性新兴产业的地理集聚特征及空间演变特征,并引入... 详细信息

【目的】战略性新兴产业能够带动未来区域经济的发展,深入研究这些产业的空间特征对区域内产业空间结构优化调整有重大意义。【方法】运用Ripley’s K函数、核密度分析等方法研究了战略性新兴产业的地理集聚特征及空间演变特征,并引入空间化的GDP数据分析了产业分布与GDP的关系。【结果】重庆市战略性新兴产业集聚化特征明显,各类产业集聚程度均呈增加趋势,但不同产业类型的集聚特征存在显著差异;4.时期的最高核密度值依次为:0.4.,3.3.,16.3.,29.06,核密度最高值均出现在主城区;战略性新兴产业的平均中心移动轨迹整体表现为由东北逐渐向西南方向偏移;战略性新兴产业的时空演变规律与空间化的GDP数据高度吻合。【结论】研究探明了重庆市战略性新兴产业空间格局演变的特征,并印证了战略性新兴产业与区域GDP之间存在必然的联系,为相关部门在宏观上对战略性新兴产业的调控和布局提供了有效的依据。

关键词：重庆市战略性新兴产业时空演变 GDP空间化

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Mapping essential urban land use categories in china(EULUC-china):preliminary results for 2018

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science Bulletin 2020年第3期65卷 182-187页

作者： Peng Gong Bin Chen Xuecao li Han liu Jie Wang Yuqi Bai Jingming Chen Xi Chen Lei Fang Shuailong Feng Yongjiu Feng Yali Gong Hao Gu Huabing Huang Xiaochun Huang Hongzan Jiao Yingdong Kang Guangbin Lei Ainong li Xiaoting li Xun li yuechen li Zhilin li Zhongde li Chong liu Chunxia liu Maochou liu Shuguang liu Wanliu Mao Changhong Miao Hao Ni Qisheng Pan Shuhua Qi Zhehao Ren Zhuoran Shan Shaoqing Shen Minjun Shi Yimeng Song Mo Su Hoi Ping Suen Bo Sun Fangdi Sun Jian Sun lin Sun Wenyao Sun Tian Tian Xiaohua Tong Yihsing Tseng Ying Tu Hong Wang Lan Wang Xi Wan Zongming Wang Tinghai Wu Yaowen Xie Jian Yang Jun Yang Man Yuan Wenze Yue Hongda Zeng Kuo Zhang Neng Zhang Tao Zhang Yu Zhang Feng Zhao Yichen Zheng Qiming Zhou Nicholas Clinton Zhiliang Zhu Bing Xu Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System ScienceTsinghua UniversityBeijing 100084China Tsinghua Urban Institute Tsinghua UniversityBeijing 100084China Center for healthy Cities Institute for China Sustainable UrbanizationTsinghua UniversityBeijing 100084China Department of Land Air and Water ResourcesUniversity of CaliforniaDavisCA 95616-8627USA Department of Geological and Atmospheric sciences Iowa State UniversityAmesIA 50011USA State Key Laboratory of Remote Sensing science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijing 100101China AI for Earth Laboratory Cross-Strait InstituteTsinghua UniversityBeijing 100084China International Institute for Earth System sciences Nanjing UniversityNanjing 210093China Research Center for Ecology and Environment of Central Asia Chinese Academy of SciencesUrumchi 830011China Key Laboratory of Forest Ecology and Management Institute of Applied EcologyChinese Academy of SciencesShenyang 110016China National Engineering Laboratory for Applied Technology in Forestry&Ecology in South china College of Life Science and TechnologyCentral South University of Forestry and TechnologyChangsha 410004China college of Surveying&Geo-Informatics Tongji UniversityShanghai 200092China Department of Urban Planning College of Architecture and Urban PlanningTongji UniversityShanghai 200092China Beijing Institute of Urban Planning Beijing 100045China Department of Urban Planning School of Urban DesignWuhan UniversityWuhan 430072China college of Earth sciences Jilin UniversityChangchun 130061China Research Center for Digital Mountain and Remote Sensing Application Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041China Institute of Remote Sensing and Geographic Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Department of Urban and Regional Planning School of Geography and PlanningSun Yat-sen Univ

Land use reflects human activities on *** land use is the highest level human alteration on Earth,and it is rapidly changing due to population increase and *** areas have widespread effects on local hydrology,climate,biodiversity,and food production[1,2].However,maps,that contain knowledge on the distribution,pattern and composition of various land use types in urban areas,are limited to city *** mapping standard on data sources,methods,land use classification schemes varies from city to city,due to differences in financial input and skills of mapping *** address various national and global environmental challenges caused by urbanization,it is important to have urban land uses at the national and global scales that are derived from the same or consistent data sources with the same or compatible classification systems and mapping *** is because,only with urban land use maps produced with similar criteria,consistent environmental policies can be made,and action efforts can be compared and assessed for large scale environmental ***,despite of the fact that a number of urban-extent maps exist at global scales[3.4.,more detailed urban land use maps do not exist at the same *** at big country or regional levels such as for the United States,china and European Union,consistent land use mapping efforts are rare[5,6](e.g.,https://***/open_land_use/).

关键词： EULUC-china 土地利用类型

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