The accessibility of urban public transit directly influences residents’quality of life,travel behavior,and social equity.Its correlation with housing prices has garnered significant attention across disciplines such...The accessibility of urban public transit directly influences residents’quality of life,travel behavior,and social equity.Its correlation with housing prices has garnered significant attention across disciplines such as geography,economics,and urban planning.Although much existing research focuses on the impact of individual transportation facilities on housing prices,there is a notable gap in comprehensive analyses that assess the influence of overall urban transit accessibility on housing market dynamics.This study selected the main urban area of Hefei,China,as a case to investigate the spatial distribution of housing prices and evaluate public transit accessibility in 2022.Employing techniques such as the optimized parameter geographical detector and local spatial regression models,the study aimed to elucidate the effects and underlying mechanisms of urban transit accessibility on housing prices.The findings revealed that:1)housing prices in Hefei exhibited a clustered spatial pattern,with high prices concentrated in the city center and lower prices in peripheral areas,forming three distinct high-price hotspots with a‘belt-like’distribution;2)public transit accessibility showed a‘coreperiphery’structure,with accessibility declining in a‘circumferential’pattern around the city center.Based on the‘housing price-accessibility’dimension,four categories were identified:high price-high accessibility(37.25%),high price-low accessibility(19.07%),low price-high accessibility(21.95%),and low price-low accessibility(21.73%);3)the impact of transit accessibility on housing prices was spatially heterogeneous,with bus travel showing the strongest explanatory power(0.692),followed by automobile,subway,and bicycle travel.The interaction of these transportation modes generated a synergistic effect on housing price differentiation,with most influencing factors contributing more than 25%.These findings offer valuable insights for optimizing the spatial distribution of public transit infrastructure and improving both urban housing quality and residents’living standards.展开更多
The interaction between extreme waves and structures is a crucial study area in marine science,as it significantly influences safety and disaster prevention strategies for marine and coastal engineering.To investigate...The interaction between extreme waves and structures is a crucial study area in marine science,as it significantly influences safety and disaster prevention strategies for marine and coastal engineering.To investigate the flow field of a semi-submersible against extreme waves,a model simulating solitary wave interactions with the semi-submersible system was developed via the meshless smoothed particle hydrodynamics(SPH)method and Rayleigh’s theory.Notably,the wave surface and wave load results obtained from the SPH model,compared with those of OpenFOAM,result in an interaction test case between solitary waves and partially submerged rectangular obstacles and show good agreement,with a maximum relative error of 3.4%.An analysis of the calculated results of the semi-submersible facing solitary waves revealed several key findings:overtopping,which decreases with increasing water depth,occurs on the structure when the non-submerged ratio is 0.33 and the wave height surpasses 0.2 m.The transmission coefficient decreases with increasing wave height but increases as the water depth increases.Furthermore,the reflection coefficient peaks at a wave height H0=0.2 m.The dissipation coefficient displays a valley trend with a small water depth,whereas it increases monotonically with increasing water depth.The dissipation coefficient decreases with increasing water depth.展开更多
为检测和鉴定引起西藏日喀则地区的辣椒根腐病病原菌种类,2024年7—9月从西藏日喀则白朗县巴扎乡彭仓村、桑珠孜区聂日雄乡盘孔村、江孜县达孜乡德吉村和拉孜县拉孜镇玉哲村4个区域采集了16份辣椒感病植株样品。采用常规组织分离法对发...为检测和鉴定引起西藏日喀则地区的辣椒根腐病病原菌种类,2024年7—9月从西藏日喀则白朗县巴扎乡彭仓村、桑珠孜区聂日雄乡盘孔村、江孜县达孜乡德吉村和拉孜县拉孜镇玉哲村4个区域采集了16份辣椒感病植株样品。采用常规组织分离法对发病部位进行病原菌分离与培养后得到25株病原真菌,利用显微形态学观察将分离物代表菌株分为LJ1、LJ2和LJ3共3类真菌分离物。结合分子生物学方法及系统发育树构建,将LJ1类病原菌鉴定为镰孢菌属茄病镰孢菌,LJ2类病原菌为丝核菌属立枯丝核菌AG-4菌丝融合群的HGⅠ亚群(Rhizoctonia solani AG 4 HG-Ⅰ),LJ3类病原菌为镰孢菌属尖孢镰孢菌。采用幼苗刺伤接种法进行病原菌致病性评价,3类真菌分离物均能够侵染辣椒幼苗造成根腐病,且尖孢镰孢菌致病性最强。日喀则各地辣椒根腐病病原菌优势菌有差异,尖孢镰孢菌是优势致病菌,分离频率为52.0%;茄病镰孢菌分离频率为32.0%;立枯丝核菌分离频率为16.0%。西藏日喀则地区的辣椒根腐病是由尖孢镰孢菌、茄病镰孢菌和立枯丝核菌AG-4菌丝融合群的HGI亚群复合侵染导致,茄病镰孢菌和立枯丝核菌AG-4菌丝融合群的HGI亚群均是首次在西藏被分离鉴定。展开更多
基金Under the auspices of the National Natural Science Foundation of China(No.42271224,41901193)Ministry of Edu cation Humanities and Social Sciences Research Planning Fund Project of China(No.24YJAZH190)+1 种基金Anhui Province Excellent Youth Research Project in Universities(No.2022AH030019)Anhui Social Sciences Innovation Development Research Project(No.2024CXQ503)。
文摘The accessibility of urban public transit directly influences residents’quality of life,travel behavior,and social equity.Its correlation with housing prices has garnered significant attention across disciplines such as geography,economics,and urban planning.Although much existing research focuses on the impact of individual transportation facilities on housing prices,there is a notable gap in comprehensive analyses that assess the influence of overall urban transit accessibility on housing market dynamics.This study selected the main urban area of Hefei,China,as a case to investigate the spatial distribution of housing prices and evaluate public transit accessibility in 2022.Employing techniques such as the optimized parameter geographical detector and local spatial regression models,the study aimed to elucidate the effects and underlying mechanisms of urban transit accessibility on housing prices.The findings revealed that:1)housing prices in Hefei exhibited a clustered spatial pattern,with high prices concentrated in the city center and lower prices in peripheral areas,forming three distinct high-price hotspots with a‘belt-like’distribution;2)public transit accessibility showed a‘coreperiphery’structure,with accessibility declining in a‘circumferential’pattern around the city center.Based on the‘housing price-accessibility’dimension,four categories were identified:high price-high accessibility(37.25%),high price-low accessibility(19.07%),low price-high accessibility(21.95%),and low price-low accessibility(21.73%);3)the impact of transit accessibility on housing prices was spatially heterogeneous,with bus travel showing the strongest explanatory power(0.692),followed by automobile,subway,and bicycle travel.The interaction of these transportation modes generated a synergistic effect on housing price differentiation,with most influencing factors contributing more than 25%.These findings offer valuable insights for optimizing the spatial distribution of public transit infrastructure and improving both urban housing quality and residents’living standards.
基金financially supported by the Basic and Applied Basic Research Foundation of Guangdong Province(Grant Nos.2023A1515010890 and 2022A1515240039)the National Natural Science Foundation of China(Grant No.52001071)+4 种基金the Special Fund Competition Allocation Project of Guangdong Science and Technology Innovation Strategy(Grant No.2023A01022)the Non-funded Science and Technology Research Program Project of Zhanjiang(Grant No.2021B01416)Student Innovation Team Project of Guangdong Ocean University(Grant No.CXTD2023012)the Doctor Initiate Projects of Guangdong Ocean University(Grant Nos.060302072103 and R20068)the Marine Youth Talent Innovation Project of Zhanjiang(Grant No.2021E05009).
文摘The interaction between extreme waves and structures is a crucial study area in marine science,as it significantly influences safety and disaster prevention strategies for marine and coastal engineering.To investigate the flow field of a semi-submersible against extreme waves,a model simulating solitary wave interactions with the semi-submersible system was developed via the meshless smoothed particle hydrodynamics(SPH)method and Rayleigh’s theory.Notably,the wave surface and wave load results obtained from the SPH model,compared with those of OpenFOAM,result in an interaction test case between solitary waves and partially submerged rectangular obstacles and show good agreement,with a maximum relative error of 3.4%.An analysis of the calculated results of the semi-submersible facing solitary waves revealed several key findings:overtopping,which decreases with increasing water depth,occurs on the structure when the non-submerged ratio is 0.33 and the wave height surpasses 0.2 m.The transmission coefficient decreases with increasing wave height but increases as the water depth increases.Furthermore,the reflection coefficient peaks at a wave height H0=0.2 m.The dissipation coefficient displays a valley trend with a small water depth,whereas it increases monotonically with increasing water depth.The dissipation coefficient decreases with increasing water depth.
文摘为检测和鉴定引起西藏日喀则地区的辣椒根腐病病原菌种类,2024年7—9月从西藏日喀则白朗县巴扎乡彭仓村、桑珠孜区聂日雄乡盘孔村、江孜县达孜乡德吉村和拉孜县拉孜镇玉哲村4个区域采集了16份辣椒感病植株样品。采用常规组织分离法对发病部位进行病原菌分离与培养后得到25株病原真菌,利用显微形态学观察将分离物代表菌株分为LJ1、LJ2和LJ3共3类真菌分离物。结合分子生物学方法及系统发育树构建,将LJ1类病原菌鉴定为镰孢菌属茄病镰孢菌,LJ2类病原菌为丝核菌属立枯丝核菌AG-4菌丝融合群的HGⅠ亚群(Rhizoctonia solani AG 4 HG-Ⅰ),LJ3类病原菌为镰孢菌属尖孢镰孢菌。采用幼苗刺伤接种法进行病原菌致病性评价,3类真菌分离物均能够侵染辣椒幼苗造成根腐病,且尖孢镰孢菌致病性最强。日喀则各地辣椒根腐病病原菌优势菌有差异,尖孢镰孢菌是优势致病菌,分离频率为52.0%;茄病镰孢菌分离频率为32.0%;立枯丝核菌分离频率为16.0%。西藏日喀则地区的辣椒根腐病是由尖孢镰孢菌、茄病镰孢菌和立枯丝核菌AG-4菌丝融合群的HGI亚群复合侵染导致,茄病镰孢菌和立枯丝核菌AG-4菌丝融合群的HGI亚群均是首次在西藏被分离鉴定。
