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Landscape Pattern Analysis of International Livable Communities Based on Satellite Images of Wenjiang District, Chengdu City 被引量:3
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作者 ZHONG Qiu SHAO Xiaopeng +4 位作者 SHI Jinan SUN Ying JIANG Xinyan LI Hanyang LI Qing 《Journal of Landscape Research》 2015年第4期9-12,共4页
This paper used Google Earth satellite maps of Wenjiang District, Chengdu City in 2008, 2012 and 2015 as basic data sources, and field investigation data in recent years, and employed Photoshop and Auto CAD to analyze... This paper used Google Earth satellite maps of Wenjiang District, Chengdu City in 2008, 2012 and 2015 as basic data sources, and field investigation data in recent years, and employed Photoshop and Auto CAD to analyze landscape pattern of urban and suburban areas of Wenjiang District—the international livable communities. The results showed that urban forest patches accounted for the absolute dominance in the study area, the overall landscape fragmentation index in 2008 was 0.0054, landscape diversity index 1.3603, landscape dominance index 0.2937, and evenness index 0.8452. From 2008 to 2012, patch density index reduced by 7.04, landscape fragmentation index increased by 0.0014, diversity index reduced by 0.043, evenness index reduced by 0.0269, landscape dominance index increased by 0.0027. From 2012 to 2015, patch density index increased by 1.22, landscape fragmentation index kept stable, diversity index reduced by 0.024, evenness index reduced by 0.0149, landscape dominance index increased by 0.0196. Through analyzing quantitative indexes of urban landscape pattern, and exploring basic features of the international livable communities from the perspective of landscape eco-pattern, this paper put forward suggestions for city management and green space system protection of Wenjiang as the references for the future researches on maintenance and operation of landscape eco-pattern. 展开更多
关键词 International livable communities Wenjiang urban landscape pattern landscape index
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Research on Ecological Space Planning Oriented Urban River Landscape Planning
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作者 FU Fei CHEN Yiwei 《Journal of Landscape Research》 2014年第5期31-39,42,共10页
Based on the generalized landscape perspective, regional connotation of urban river landscape is expanded. The area connotation of urban river landscape is expanded based on the generalized landscape perspective. In a... Based on the generalized landscape perspective, regional connotation of urban river landscape is expanded. The area connotation of urban river landscape is expanded based on the generalized landscape perspective. In addition to natural and functional attributes, river landscape should be regarded as a regional space element based on heterogeneous space scale. First, as for research method system, the space research models(including ecological footprint, space planning, and landscape pattern index, etc.) coupled with different angle scales and interdisciplinary theory, are utilized to study different correlations and results formed by urban river landscape elements and other regional space elements from the perspective of the regional ecological space, and the overall development goal of the urban river landscape pattern based on the goals of the regional ecological space planning is obtained. Second, the oriented urban river landscape planning and the "M" type close-tonature design strategy are evaluated through the city function zoning orientation and micro-scale urban river landscape pattern index. The research realizes the compatibility of overall goals in terms of the regional ecology, the development of urban functional areas, and the river landscape planning, without losing micro difference and maneuverability based on the urban river landscape planning and design oriented strategy, which innovates the new approach of urban river landscape planning and design with sustainable and balanced development of regional resources, multi-scale, and multiple objectives. 展开更多
关键词 River ecological space planning Regional river landscape elements Evaluation of ecological footprint urban river landscape pattern Close-to-nature design strategy
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Study on Forecast Scenarios for Simulation of Future Urban Growth in Shenyang City Based on SLEUTH Model
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作者 WU Xiaoqing HU Yuanman +2 位作者 HE Hongshi XI Fengming BU Rencang 《Geo-Spatial Information Science》 2010年第1期32-39,共8页
The SLEUTH urban growth model was used to simulate future urban growth patterns and to explore potential environ-mental impacts of urban development under different conditions of development in Shenyang City, China. T... The SLEUTH urban growth model was used to simulate future urban growth patterns and to explore potential environ-mental impacts of urban development under different conditions of development in Shenyang City, China. The SLEUTH model was calibrated with historical data (1988-2004) extracted from a time series of TM satellite images, and the future growth was pro-jected out to 2030 assuming three different policy scenarios: (1) current trends scenario (Scenario CT), (2) regional policy and ur-ban planning scenario (Scenario PP), and (3) environmental protection scenario (Scenario EP). Scenario analysis showed that urban growth would accelerate under all policy scenarios with significant differences in development pattern and sustainability after 2016. Urban development under Scenario CT would lead to substantial loss of resource lands than that under the other two scenarios, and the urban landscape pattern would be increasingly complex and dispersed. In contrast, urban growth under scenario PP and EP would consume less natural resource land and show a relatively compact urban development pattern during the prediction period. This study suggested that it is crucial to take stringent urban planning and management measures to control future urban growth and to protect primary farmland and the support system of urban ecology in Shenyang City. The SLEUTH model is a useful planning tool to guide sustainable utilization of urban land resources to a certain extent. 展开更多
关键词 SLEUTH urban growth scenarios landscape pattern Shenyang City
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Development of a Landscape Pattern Health Index and Association with Stroke Mortality Using GWQS Regression—Ningbo City,Zhejiang Province,China,2001–2023
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作者 Qinsheng Kong Jing Huang +1 位作者 Tianfeng He Guoxing Li 《China CDC weekly》 2025年第45期1424-1428,I0005,I0006,共7页
Introduction:Urban landscape patterns impact population health;however,traditional indices are limited by single-dimensional focus,multicollinearity,and weak health relevance.Developing a holistic Landscape Pattern He... Introduction:Urban landscape patterns impact population health;however,traditional indices are limited by single-dimensional focus,multicollinearity,and weak health relevance.Developing a holistic Landscape Pattern Health Index(LPHI)is critical for planning healthy cities.Methods:Using data from Ningbo(China),this study integrated 2001–2023 land use data(reclassified into 7 types)and 2009–2016 street-level stroke mortality data.A two-stage Generalized Weighted Quantile Sum(GWQS)regression addressed the temporal data discrepancy,first deriving weights from 2009–2016 health data,then calculating the LPHI for the full 2001–2023 period.Quasi-Poisson regression was used to validate the association between the LPHI and stroke mortality.Results:An interquartile-range increase in the Protective Composite Index reduced stroke mortality by 20%(warm seasons)and 22%(cold seasons),while the Hazard Composite Index increased risk by 29%(warm)and 20%(cold).The LPHI demonstrated significant associations with stroke mortality,with the Protective Composite Index reducing risk and the Hazard Composite Index increasing it across both seasons.Conclusion:The study suggests that the LPHI can serve as a bridge between landscape ecology and public health,with the potential to identify high-risk areas and seasonal priorities.This approach could guide targeted interventions through landscape optimization,supporting evidence-based healthy urban planning. 展开更多
关键词 landscape pattern health index urban landscape patterns public health stroke mortality generalized weighted quantile sum regression land use data reclassified landscape patterns Zhejiang Province
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