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基于土地适宜性的耕地规划CA模拟及验证 被引量:6
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作者 房阿曼 陈伟强 董霁红 《农业工程学报》 EI CAS CSCD 北大核心 2017年第8期219-225,F0004,共8页
为探究科学合理的耕地规划方法,以河南省兰考县为例,从影响耕地规划的适宜性、限制性及竞争性3个方面对土地适宜性进行分析,并运用CA(cellular automata)模拟系统,模拟2020年兰考县指标控制下的耕地规划情况。结果表明,兰考县2020年耕... 为探究科学合理的耕地规划方法,以河南省兰考县为例,从影响耕地规划的适宜性、限制性及竞争性3个方面对土地适宜性进行分析,并运用CA(cellular automata)模拟系统,模拟2020年兰考县指标控制下的耕地规划情况。结果表明,兰考县2020年耕地面积为76 411.32 hm^2,其中因城镇发展导致耕地面积减少226.44 hm^2,村庄、内陆滩涂及果园等其他土地转化为耕地的面积为8 227.13 hm^2。结合耕地适宜性评价结果对比发现,质量上模拟规划的耕地高于现行的土地利用规划中的耕地,空间分布上同时避开城镇发展、生态保护及其他因素的影响,具有稳定性。该研究为管理者制定耕地规划提供重要的方法参考。 展开更多
关键词 土地利用 整治 模型 耕地规划 土地适宜性 ca模拟系统 规划模拟 兰考县
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基于元胞自动机模型的耕地规划模拟研究 被引量:1
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作者 叶丹 郜鲁涛 +1 位作者 麻之润 彭琳 《西南农业学报》 CSCD 北大核心 2019年第4期899-904,共6页
【目的】为研究耕地利用合理规划管理、生态旅游开发、经济发展提供合理依据。【方法】以云南省寻甸县为研究对象,基于ArcGIS平台,利用Python语言,结合元胞自动机模型(cellular automata,CA),从耕地规划的适宜性、限制性、竞争性3个角... 【目的】为研究耕地利用合理规划管理、生态旅游开发、经济发展提供合理依据。【方法】以云南省寻甸县为研究对象,基于ArcGIS平台,利用Python语言,结合元胞自动机模型(cellular automata,CA),从耕地规划的适宜性、限制性、竞争性3个角度出发,开发了基于元胞自动机模型的耕地规划模拟工具。利用云南省寻甸县2010和2015年土地利用现状数据,模拟出寻甸县2020年耕地指标控制下的耕地规划图。【结果】寻甸县2020年耕地面积为63 277 hm^2,比2010年多了8277 hm^2,未成林造林地、滩涂、村庄等其他地类转换为耕地的总面积为30 598 hm^2。新增耕地在空间上避让生态林地、草地等限制区,并以耕地地力评价为重要转换依据,具有稳定性。耕地规划模拟的Kappa系数为96%,模拟精度极佳。【结论】该方法模拟精度高,可用于解决耕地红线划定、耕地规划方案中的耕地不稳定性问题。 展开更多
关键词 土地利用 耕地规划 ca模拟系统 耕地地力 寻甸县
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Modeling the impacts of drying trend scenarios on land systems in northern China using an integrated SD and CA model 被引量:10
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作者 HUANG QingXu HE ChunYang +1 位作者 LIU ZhiFeng SHI PeiJun 《Science China Earth Sciences》 SCIE EI CAS 2014年第4期839-854,共16页
Climate-induced drought has exerted obvious impacts on land systems in northern China.Although recent reports by the Intergovernmental Panel on Climate Change(IPCC) have suggested a high possibility of climate-induced... Climate-induced drought has exerted obvious impacts on land systems in northern China.Although recent reports by the Intergovernmental Panel on Climate Change(IPCC) have suggested a high possibility of climate-induced drought in northern China,the potential impacts of such drying trends on land systems are still unclear.Land use models are powerful tools for assessing the impacts of future climate change.In this study,we first developed a land use scenario dynamic model(iLUSD) by integrating system dynamics and cellular automata.Then,we designed three drying trend scenarios(reversed drying trend,gradual drying trend,and acceleration of drying trend) for the next 25 years based on the IPCC emission scenarios and considering regional climatic predictions in northern China.Finally,the impacts of drying trend scenarios on the land system were simulated and compared.An accuracy assessment with historic data covering 2000 to 2005 indicated that the developed model is competent and reliable for understanding complex changes in the land use system.The results showed that water resources varied from 441.64 to 330.71 billion m3 among different drying trend scenarios,suggesting that future drying trends will have a significant influence on water resource and socioeconomic development.Under the pressures of climate change,water scarcity,and socioeconomic development,the ecotone(i.e.,transition zone between cropping area and nomadic area) in northern China will become increasingly vulnerable and hotspots for land-use change.Urban land and grassland would have the most prominent response to the drying trends.Urban land will expand around major metropolitan areas and the conflict between urban and cultivated land will become more severe.The results also show that previous ecological control measures adopted by the government in these areas will play an important role in rehabilitating the environment.In order to achieve a sustainable development in northern China,issues need to be addressed such as how to arrange land use structure and patterns rationally,and how to adapt to the pressures of climate change and socioeconomic development together. 展开更多
关键词 water resource constraints land use dynamics climate change scenario simulation drying trends in northern China
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