基于步行性的城市热环境暴露风险区识别及其健康效应——以武汉市主城区为例

以武汉市主城区为例,运用大气校正法反演地表温度,基于步行指数计算步行性,通过空间叠加识别出高步行-高热类(预警空间)、高步行-低热类(友好空间)、低步行-高热类和低步行-低热类4类空间,并基于脆弱人群视角探究城市的健康公平性。结果表明：预警空间占全域12.53%,呈大小落石状分布于城市中心区,友好空间占全域1.13%,零星散落于预警空间内。研究区内32.50%的常住人口生活在预警空间,33.11%的儿童和40.01%的老年人生活在高步行性和高热环境暴露风险的空间中,预警空间对老年人表现出明显的倾向性,老年人健康风险较高。此外,儿童相对于老年人更多生活在低步行性空间,老年人相对于儿童面临更高的热环境暴露风险。     

Analysis of rurality concept in the context of tourism北大核心CSCD

乡村性既是乡村宏大叙事的认识论,也是引领乡村发展实践的方法论,旅游要素的注入使得旅游语境下的乡村性具有区别于普通乡村的特性。论文基于传统乡村、快速城市化到城乡融合的乡村发展历程,从乡村区域功能、政治经济学、乡村整体建构等视角回顾了国内外乡村性相关研究。基于“要素构成—基本属性—重要特征”的概念分析逻辑,对旅游语境下的乡村性进行解析,论文提出：旅游语境下的乡村性是旅游影响乡村重构过程中“人—地”关系的地方意义所在,从需求主体角度体现为旅游者对乡村的认知与情感,从乡村发展角度体现为多元主体在特定乡村地域空间情境下持续开展的乡村旅游发展实践的结果表征,具有经济、社会文化、自然及景观等基本属性和空间维度的地域性、时间维度的动态性、价值维度的体验性等主要特征,需置于“我者”与“他者”、城市性与乡村性、现代性与传统性、商业性与真实性的关系中加以理解。论文构建了旅游语境下的乡村性概念分析框架,从研究内容和方法层面对未来研究提出了展望。     

Variations in spring leaf phenology and leaf freezing damage of common woody species in China北大核心CSCD

Freezing damage results in the dehydration of plant cells and reduces the photosynthetic capacity of plants, which causes significant losses to ecology and economy. Over the past 40 years, global warming has reduced the frequency and intensity of frost events while bringing forward the spring phenology of plants, increasing the exposure of their leaves and flowers to harsh cold temperatures. Therefore, the dual effects of climate warming should be considered in order to accurately assess the changes of plant freezing damage. To date, there is no systematic analysis of plant freezing damage in different climatic regions of China. Based on phenological observation records from the China Phenological Observation Network, leaf frost damage of four common woody plants (Ulmus pumila, Robinia pseudoacacia, Salix babylonica, Fraxinus chinensis) in the spring over the past 40 years was calculated, and the spatio-temporal patterns were analyzed. We also investigated the change in the occurrence time of maximum frost damage (TMFD) and its relationship with plant phenology. The results show that: 1) Most species presented an overall trend towards an earlier leaf unfolding date, and the advancing trend was significant and greater than 1 d/a in about 60% of the regions (P<0.05). 2) The TMFD occurred earlier in 72.22%-83.03% of the regions, which was closely related to plants' earlier leaf unfolding date. The TMFD of all species advanced the most (8.3 days) in the temperate climate zone, followed by the warm temperate, subtropical, plateau, and cold temperate zones. 3) The leaves of U. pumila, R. pseudoacacia and S. babylonica suffered more freezing damage in the spring, and the most significant freezing damage was mainly found in the north of 50°N region and part of the west of the Qinghai-Tibet Plateau. In comparison, the leaves of F. chinensis suffered less frost damage due to later leaf unfolding date and stronger leaf frost resistance. With regard to interannual variations, the average freezing damage of U. pumila, R. pseudoacacia and S. babylonica increased significantly (P<0.05), but that of F. chinensis did not change obviously. In addition, the freezing damage of U. pumila and S. babylonica increased the most in the cold temperate zone, while that of R. pseudoacacia increased in about 10% of the regions in the plateau climate zone, and 3%-6% of the regions in the cold temperate, temperate, and warm temperate climate zones. The freezing damage of F. chinensis merely increased in the warm temperate zone. The results of this study can provide a reference for assessing the risk of plant freezing damage accurately and help develop regional-specific response and adaptation strategies to climate change. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.     

基于深度学习的滑坡灾害易发性分析

滑坡灾害成因机理复杂、影响因素众多,深度学习作为当前人工智能领域的热点,能够更好地模拟滑坡灾害的形成并准确预测潜在的斜坡。为了挖掘深度学习在滑坡易发性的应用潜能,本文构建了一维、二维和三维的滑坡数据表达形式,并提出3种基于卷积神经网络模型（Convolutional Neural Networks, CNN）的滑坡易发性分析处理框架：基于CNN分类器、基于CNN与逻辑回归的融合和基于CNN集成,最后以江西省铅山县为研究对象进行验证,结果表明：所有基于CNN的易发性模型都能够获得准确且可靠的滑坡易发性分析结果。其中,基于二维数据的CNN模型在所有单分类器中预测精度最高,为78.95%。此外,二维CNN特征提取能够显著提升逻辑回归的预测精度,其准确率提升7.9%。最后,异质集成策略能够大幅度提升基于CNN分类器的滑坡预测精度,其准确率提升4.35%~8.78%。     

皖南云岭金矿地球物理找矿模型

皖南云岭金矿位于长江中下游多金属成矿带与华南成矿带之间,属于江南造山带上的一个热液脉型矿床。基于云岭金矿区域地质背景,在该区开展了岩石露头测定、岩石标本物性测定和地球物理学相关研究。运用地面高精度磁测法,识别本区主要控矿构造为NE向断裂带。根据激发极化法圈定高极化率异常区,并结合相应区域电阻率(可控源音频大地电磁法)和磁异常分布特征建立4种地球物理模型:低阻-高极化模型、高阻-高极化模型、高极化-磁异常过渡带模型和高极化-高磁异常模型。这4种地球物理模型建立在该区岩石物性与矿床成因基础之上,分别对应不同含矿模型:低阻-高极化模型对应接触带上硫铁矿成矿区;高阻-高极化模型对应含矿硅化带;高极化-磁异常过渡带模型对应围岩蚀变带;高极化-高磁异常模型对应岩浆侵入区。依据以上模型,可圈定NE向断裂带、断裂带西侧高阻硅化带及东侧蚀变岩体为找矿有利靶区。     

Fine root distribution pattern of different aged Leucaena leucocephala trees in debris flow source area in Jiangjia Gully,China

Fine root is critical to restrain soil erosion and its distribution pattern is of great influence on the restraining effects. This study studied the fine root biomass(Br) distribution of different aged Leucaena leucocephala(5, 10, 15 years) in debris flow source area in Jiangjia Gully by digging downward to the bottom at different distances to stem in three directions on slope. The results showed the Br increased dramatically by 143% from 5 years to 10 years and then rose slowly by 38% from 10 years to 15 years. The Br of 5 years was significantly asymmetric between uphill and alonghill directions, but there was little difference among directions for other ages, and a concentration trend appeared to exist in downhill and alonghill directions. Moreover, fine root(D≤1 mm) was significantly heavier than that of fine root(1mmD≤2 mm), playing a leading role in the vertical distribution of the whole fine root, with a logarithmic or an exponential function. The results presented may shed light on fine root distribution pattern and evaluation of its effect on slope stability in debris flow source area.     

准噶尔盆地车排子地区稠油成因及成藏过程

准噶尔盆地西缘车排子凸起侏罗系、白垩系和第三系均发现了稠油。运用油藏地球化学及分子地球化学方法,在对稠油地球化学特征精细剖析的基础上,根据原油的正构烷烃、类异戊间二烯烷烃、甾萜烷烃类生物标志物特征和稳定碳同位素组成特征,讨论车排子地区稠油的成因及生物降解程度,分析稠油的油源;根据流体包裹体资料并结合区域构造和烃源岩资料,分析研究区稠油的成藏期次和运移途径,建立稠油油藏的成藏模式。结果表明:准噶尔盆地车排子地区稠油主要来源于昌吉凹陷二叠系烃源岩,部分有侏罗系烃源岩生成原油的混源,均受到不同程度的生物降解;稠油油藏为后期调整形成的次生油藏,存在两期成藏过程,第1期为白垩纪到古近纪,主要存在于侏罗系和白垩系储层中,第2期为新近纪以来,主要存在于新近系沙湾组储层中;稠油主要通过红车断裂带和不整合面运移,而且运移时伴随着生物降解,在聚集成藏前或运移前已经遭受了轻微生物降解作用,聚集成藏后又遭受了较为严重的生物降解作用。     

南三河沉管工程基槽开挖对海域水环境的影响

南三河沉管是鉴江供水枢纽工程中的一处跨海管道工程,管道基槽开挖会对周围海域水质产生影响。基于建立的二维非稳态水环境数学模型,利用同步水文水质监测数据对模型参数进行率定,并反演得到SS源强浓度,继而预测施工期SS对海域水环境的影响范围及程度。结果表明:距基槽中心50 m范围的SS源强浓度达到70 mg/L;SS会对基槽中心线上下游各700 m范围内的水域产生影响(增量≥10 mg/L),影响程度以挖槽为中心线向两侧递减。     

可控源法在海阳市郭城地区鑫泰金矿床成矿规律中的应用

可控源音频大地电磁法(CSAMT法)是一种利用人工场源研究地层、构造等深部地质特征问题的新技术新方法。在山东省海阳市郭城地区鑫泰金矿床的应用研究表明,CSAMT法可以较好地用于确定矿体的产状和大致地层结构,在矿体成矿规律研究方面具有较为突出的应用效果。     

西藏的江南——林芝

正林芝位于西藏自治区东南部,地处雅鲁藏布江中下游,介于三大山脉之间,北靠念青唐古拉山,南邻喜马拉雅山,东接横断山,南部与印度、缅甸两国接壤,边境线长达1006.5公里。林芝地处藏南谷地,平均海拔3100米,地形起伏大,最高海拔5000多米,最低900米,垂直地带性差异显著。西南季风带来的丰沛水汽沿着雅鲁藏布江峡谷深入该地区,气候湿润,植物茂盛,原始森林保存完好,素有"自然绿色基因的宝库"之称。林芝山清水秀,藏语意为