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Combination patterns of precipitation and its concentration degree determining the risk of dengue outbreaks in China
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作者 Yu-Rong WU Xiao-Wen WANG +6 位作者 Liang ZHAO Bo LU Jun-Feng YU Ze-Hua LIU Yi SUN Wan-Nian LIANG Cun-Rui HUANG 《Advances in Climate Change Research》 SCIE CSCD 2023年第5期768-777,共10页
The amount and distribution of precipitation can determine dengue risk by affecting mosquito breeding;however,previous studies failed to incorporate this bivariate characteristic to examine dengue fever transmission.I... The amount and distribution of precipitation can determine dengue risk by affecting mosquito breeding;however,previous studies failed to incorporate this bivariate characteristic to examine dengue fever transmission.In the present research,nationwide data on daily dengue cases in China between January 2005 and December 2020 were obtained,and the top 12 cities accounting for 78%of total cases were selected for analysis.Precipitation patterns were quantified by weekly precipitation and precipitation concentration degree(PCD).On the basis of the combinations of both parameters,the exposure-response relationships of precipitation with dengue risk were established using generalised additive models,and the high-dengue-risk thresholds of precipitation patterns were further identified.Dengue burden was assessed by calculating attributable dengue cases.For the same amount of precipitation,the dispersed precipitation in the pre-summer rainy season leads to a higher dengue risk in autumn.The weekly precipitation of 100-150 mm and PCD of 0.2-0.4 constitute the highest risk scenario,and the average frequency of precipitation associated with dengue risk in 2013-2020 is 1.6 times higher than that in 2005-2012.A total of 3093 attributable dengue cases are identified.From 2005 to 2020,the amount of dispersed precipitation increased in southern and southwestern China and posed high dengue risks in central China.This study has improved the understanding of the health impacts of irregular rainfall under climate change.Our approach to identifying thresholds provides information for early warning systems and helps reduce the risk of dengue transmission in the long run. 展开更多
关键词 Climate change Precipitation pattern Precipitation concentration degree Dengue fever Mosquito-borne diseases
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The Concentration Degree of Nationwide Rare Earth Industry Increased Significantly
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《China Nonferrous Metals Monthly》 2016年第9期5-6,共2页
Since the'Twelfth Five Year Plan'period,China has made considerable progress in the organization and setup of large rare earth groups,layout of rare earth industry has become more rational,the concentration de... Since the'Twelfth Five Year Plan'period,China has made considerable progress in the organization and setup of large rare earth groups,layout of rare earth industry has become more rational,the concentration degree has increased significantly,the previously small,scattered,and chaotic situation has basically been reversed. 展开更多
关键词 The concentration degree of Nationwide Rare Earth Industry Increased Significantly
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2011-2020年我国医学生分布的区域差异及动态演进
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作者 陈洁婷 朱燕 +2 位作者 杨凯 王佳怡 李思源 《中国卫生资源》 CSCD 北大核心 2023年第4期397-403,共7页
目的研究我国医学生分布的集聚水平、空间分布特征和时空演变趋势,为宏观调控医学高等院校区域均衡发展提供依据。方法运用集聚度、空间自相关模型和核密度估计法分析医学生空间分布情况和发展趋势。结果2011—2020年,我国医学生集聚水... 目的研究我国医学生分布的集聚水平、空间分布特征和时空演变趋势,为宏观调控医学高等院校区域均衡发展提供依据。方法运用集聚度、空间自相关模型和核密度估计法分析医学生空间分布情况和发展趋势。结果2011—2020年,我国医学生集聚水平在观察末期升至7.478,涨幅15.43%,呈现“东高西低、南高北低”的空间分布格局。各省份间呈空间正相关性,形成稳定的“高高集聚、低低集聚”的空间分布特征。医学生分布的绝对差异在中部地区趋于缓和,在东、西部地区持续扩大,总体呈多极化演化特征。结论我国医学生分布的集聚水平稳步上升且存在不均衡现象,已形成稳定的聚集区域并存在低流动性。建议构建区域医学高等教育协同发展机制,以促进医学院校资源的优质均衡发展。 展开更多
关键词 医学生medical student 区域差异regional differences 集聚度concentration degree 空间自相关spatial autocorrelation 核密度估计kernel density estimation
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Analysis of Intra-annual Heterogeneous Characteristics of Precipitation in Shaoguan City
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作者 Liu Zhanming 《Meteorological and Environmental Research》 CAS 2018年第1期15-19,共5页
Based on the daily precipitation data between 1965 and 2009 from 8 rainfall stations in Shaoguan City,the indexes of precipitation concentration degree( PCD) and precipitation concentration period( PCP) were calcu... Based on the daily precipitation data between 1965 and 2009 from 8 rainfall stations in Shaoguan City,the indexes of precipitation concentration degree( PCD) and precipitation concentration period( PCP) were calculated. And then inverse distance weighted( IDW) interpolation method was used to analyze the heterogeneous distribution characteristics of inter-annual precipitation by introducing the spatial distribution of annual mean values,variable coefficients,correlation coefficients with annual precipitation,change trends and composite analysis. The results showed that PCD was mainly decreasing from southeast to northwest in spatial distribution,long-term average annual values of PCP were distributed in the first ten days of June at most region. Annual precipitation increased as PCD increased in southern region,but the change trend was the opposite in northern region. Annual precipitation increased as PCP lagged in most region. PCD and PCP mainly appeared upward trend. Composite analysis of PCD in more-precipitation years was similar to less-precipitation years in spatial distribution,but the PCD in less-precipitation years was higher.Seen from the mean in the whole region,PCP in more-precipitation years lagged about 20 days behind those in less-precipitation years. The research can provide basis for the production of agriculture and industry as well as disaster prevention and reduction. 展开更多
关键词 HETEROGENEITY Precipitation concentration degree Precipitation concentration period Shaoguan City Inverse distance weighted interpolation
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Understanding the pattern and mechanism of spatial concentration of urban land use, population and economic activities: a case study in Wuhan, China 被引量:1
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作者 Zehui Li Limin Jiao +2 位作者 Boen Zhang Gang Xu Jiafeng Liu 《Geo-Spatial Information Science》 SCIE EI CSCD 2021年第4期678-694,共17页
Quantifying the aggregation patterns of urban population, economic activities, and land use are essential for understanding compact development, but little is known about the difference among the distribution characte... Quantifying the aggregation patterns of urban population, economic activities, and land use are essential for understanding compact development, but little is known about the difference among the distribution characteristics and how the built environment influences urban aggre-gation. In this study, five elements are collected in Wuhan, China, namely population density, floor area ratio, business POIs, road network and built-up area as the representative of urban population, economic activities and land use. An inverse S-shape function is employed to fit the elements’ macro distribution. An aggregation degree index is proposed to measure the aggregation level of urban elements. The kernel density estimation is used to identify the aggregation patterns. The spatial regression model is used to identify the built environment factors influencing the spatial distribution of urban elements. Results indicates that all urban elements decay outward from the city center in an inverse S-shape manner. The business Pointof- Interest (POI) density and population density are highly aggregated;floor area ratio and road density are moderately aggregated, whereas the built-up density is poorly aggregated. Three types of spatial aggregation patterns are identified: a point-shaped pattern, an axial pattern and a planar pattern. The spatial regression modeling shows that the built environment is associated with the distribution of the urban population, economic activities and land use. Destination accessibility factors, transit accessibility factors and land use diversity factors shape the distribution of the business POI density, floor area ratio and road density. Design factors are positively associated with population density, floor area ratio and built-up density. Future planning should consider the varying spatial concentration of urban population, economic activities and land use as well as their relationships with built environment attributes. Results of this study will provide a systematic understanding of aggregation of urban land use, popula-tion, and economic activities in megacities as well as some suggestions for planning and compact development. 展开更多
关键词 Spatial concentration inverse S-shape function concentration degree index concentration patterns spatial regression model
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Inhomogeneity characteristics of snow in Northeast China
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作者 WANG Ji ZOU Liyao +1 位作者 ZHAO Chunyu LOU Dejun 《Journal of Geographical Sciences》 SCIE CSCD 2011年第4期621-633,共13页
Based on 1961-2005 observed winter precipitation data in Northeast China, the temporal and spatial variations of snow concentration degree (SCD) and snow concentration period (SCP), together with the circulation c... Based on 1961-2005 observed winter precipitation data in Northeast China, the temporal and spatial variations of snow concentration degree (SCD) and snow concentration period (SCP), together with the circulation characteristics when there is a higher SCD, are computed and analyzed. Results show that SCD in Northeast China presents a yearly rising tendency and SCP decreases obviously. In terms of decadal variation, there is a 12-year periodic variation in PCP, and since the mid-1970s there has been an 8-year short periodic variation. As to spatial variation, SCD in winter of Northeast China has increased gradually from the eastern part to the western, and the minimum value of SCD occurs in the east of Jilin Province, while the high value center is observed in the central part of the province. For the whole Northeast China, the variation tendencies are consistent in the eastern and central parts, where SCD presents a rising tendency and SCP shows a decreasing tendency. SCD in the southwestern and northern parts has a slight rising tendency, with SCD in the southwestern part having the slightest increasing tendency, and SCP in the northern part showing the slightest decreasing tendency. When a high SCD value is observed, the whole region is controlled by the East Asian deep trough at 500 hPa, and the trough becomes deeper in the western part, while a high pressure, which is easily formed and intensified in the eastern part, makes the East Asian deep trough move eastward slowly. Upper-level jet stream and low-level jet stream co-exist, and the former is stronger and takes more of a southwestward position than the latter. The high value zone of water vapor transport over the Pacific is intensified obviously, and the extent also increases. Northeast China is influenced by the water vapor transported to the northwest along the north of the high value center. 展开更多
关键词 Northeast China snow concentration degree snow concentration period circulation characteristics
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