城市群竞争力评价实证研究——以山东半岛城市群为例

以山东半岛城市群为实证,以辽中南、京津唐、长三角、海峡西岸、珠三角等沿海城市群作为比较对象,对山东半岛城市群竞争力进行综合评价.近年来山东半岛城市群的经济、社会、环境、潜能、辐射及综合竞争力在沿海城市群中的排名变化较小,处于第二梯队的首位,但不同竞争力要素都有一定变化.山东半岛城市群的环境竞争力在沿海城市群中具有突出优势,而经济、社会、潜能、辐射等竞争力距长三角、珠三角、京津唐城市群均有一定差距,但社会、潜能、辐射竞争力稍高于辽中南、海峡西岸城市群.     

Spatial distribution and influencing factors of interprovincial terrestrial physical geographical names in China

The interprovincial terrestrial physical geographical entities are the key areas of regional integrated management. In this paper, we analyzed the spatial patterns of the interprovincial terrestrial physical geographical names (ITPGN) from three aspects: numerical features, spatial variance and spatial agglomeration. The influencing factors of the distribution of ITPGN and the implications for the regional management were further discussed. GIS technology was used to visualize the distribution of ITPGN, analyze the spatial agglomeration and the influencing factors of ITPGN. A total of 11,325 ITPGN, including 4243 water ITPGN and 7082 terrain ITPGN, were extracted from the database of “China’s Second National Survey of Geographical Names (2014-2018)”, and the mountain geographical names were the largest type in ITPGN. Hunan Province had the largest number of the names in China, and Shanghai had the smallest number of the names. The spatial variance of the terrain ITPGN was larger than that of the water ITPGN, and the ITPGN showed a significant agglomeration phenomenon in the southern part of China. In addition, the relative elevation and the population had an impact on the distribution of the ITPGN. The largest number of the geographical names occurred in the regions where the relative elevation was between 1000-2000 meters, and where the population was between 40-50 million. Based on the analysis, it was suggested that the government should take the ITPGN as management units, optimize management strategies based on the characteristics of different types of ITPGN, strengthen the naming of unnamed interprovincial terrestrial physical geographical entities and balance the interests in the controversial ITPGN. This study demonstrated that GIS and spatial analysis techniques were useful for the research of ITPGN and the results could provide targeted management suggestions to realize coordinated development in the interprovincial regions.     

An Extended Minimum Spanning Tree method for characterizing local urban patterns

Detailed and precise information on urban building patterns is essential for urban design, landscape evaluation, social analyses and urban environmental studies. Although a broad range of studies on the extraction of urban building patterns has been conducted, few studies simultaneously considered the spatial proximity relations and morphological properties at a building-unit level. In this study, we present a simple and novel graph-theoretic approach, Extended Minimum Spanning Tree (EMST), to describe and characterize local building patterns at building-unit level for large urban areas. Building objects with abundant two-dimensional and three-dimensional building characteristics are first delineated and derived from building footprint data and high-resolution Light Detection and Ranging data. Then, we propose the EMST approach to represent and describe both the spatial proximity relations and building characteristics. Furthermore, the EMST groups the building objects into different locally connected subsets by applying the Gestalt theory-based graph partition method. Based on the graph partition results, our EMST method then assesses the characteristics of each building to discover local patterns by employing the spatial autocorrelation analysis and homogeneity index. We apply the proposed method to the Staten Island in New York City and successfully extracted and differentiated various local building patterns in the study area. The results demonstrate that the EMST is an effective data structure for understanding local building patterns from both geographic and perceptual perspectives. Our method holds great potential for identifying local urban patterns and provides comprehensive and essential information for urban planning and management.     

活动双星AR Lac的周期研究

用Ｋａｌｉｍｅｒｉｓ等人提出的分析周期新方法对ＲＳＣＶｎ型双星系统ＡＲＬａｃ的ＯＣ曲线进行分析,结果表明这颗食双星的轨道周期在长期减小的同时也含有周期为４７年、振幅为１．５６×１０－５天的周期性变化．对引起轨道周期变化（非周期性变化和周期性变化）的各种物理机制进行了分析研究,并求出了它们的关键性物理参量．研究表明该系统轨道周期的变化可能是由于次子星周期性的磁场活动和由磁滞引起的角动量损失引起     

长江流域城市的生态环境问题与跨世纪城市持续发展战略

综合分析评价了长江流域城市的生态环境态热与问题,城市水环境依恶化,特别是城市内河道,湖泊水质多污染严重。城市大气污染仍呈加重趋向,一些特大城市汽车尾气污染上升,城市酸雨依然严重。城市生态问题沉重,绿地不足,热岛加重,地面沉降,水土流失等。     

典型风力条件及水力调度下太湖藻华高频时空动态监测

湖泊藻华问题已成为全球水生态环境领域面临的长期挑战,风力条件变化和引调水工程的水力调度能改变湖体水动力结构,对藻类的生长和聚集过程产生影响,进行该过程的精细化监测和机制分析对于湖泊藻华预报预警和应急处置具有重要意义。本研究基于Hiamwari-8/AHI卫星遥感高频监测数据,对比分析了归一化差异植被指数(NDVI)、增强植被指数(EVI)和浮游藻类指数(FAI) 3种不同指数对太湖藻华的反演效果,开展了典型风力条件下和水力调度下太湖藻华生消过程的持续监测分析。结果表明,FAI对藻华区域和非藻华区域的区分更加明显,其阈值提取的藻华面积与基于MODIS图像解译的藻华面积的相对误差最低,为-2.27%。当营养盐充足且水温持续保持在蓝藻大量生长增殖的阈值以上时,风力条件是导致太湖藻类迁移聚集的关键因子,风向主要影响藻类的水平迁移,使其进行方向性迁移并逐渐形成大面积藻华区域。风速主要影响藻类的垂向迁移并存在临界阈值,当风速低于约2.5 m/s的临界风速时,藻华面积随风速增加而增加;当风速高于临界风速时,藻华面积随风速增加而降低。水力调度对距离较近的贡湖湾区域具有显著影响,主要通过水动力扰动来影响...     

Building the community velocity model in the Sichuan-Yunnan region,China: Strategies and progresses

Science China Earth Sciences -     

无定河流域不同水土流失区底栖动物生物完整性指数构建与健康评价

无定河流域位于黄土高原与毛乌素沙地过渡带,水土流失严重,生态环境具有脆弱性和波动性。于2021年春季(4月)和秋季(10月)对无定河流域上、中、下游及其6条支流和流域内的3个淤地坝开展水生态系统调查,旨在厘清无定河流域底栖动物群落特征,构建底栖动物生物完整性指数并开展健康评价。无定河流域春季共采集到底栖动物105种,平均密度为181 ind./m²,平均生物量为0.760 g/m²,秋季共采集到底栖动物67种,平均密度为94 ind./m²,平均生物量为0.454 g/m²。通过对两季度研究区域内底栖动物27个生物参数开展分布范围检验、判别能力分析和相关性分析,构建无定河流域底栖动物生物完整性指数,对全流域40个样点(6个参照点和34个受损点)进行B-IBI健康评价。评价结果表明,总体上无定河流域底栖动物生物完整性较好,40个样点中春季有19个处于健康或亚健康状态,秋季有23个处于健康或亚健康状态,其中无定河上、中游干支流大都以健康和亚健康为主,无定河下游干支流以及3个淤地坝水体健康状况较差。在不同水土流失类型区域,底栖动物群落特征和生物完整性评价具有显著性差异。本研究结果可为无定河流域河流健康评估提供科学依据。     

环境约束下中国工业化与城镇化的关系演变——效率分析视角

将工业化视为投入,城镇化视为产出,基于中国各省份2001~2012年的工业化、城镇化和污染物排放数据,测算了传统效率值、环境效率值及效率指数,据此分析各省份工业化与城镇化的关系及其演变。研究发现：全国总体层面的城镇化传统效率值和环境效率值均在下降。分地区来看,东部地区通过工业化来推进城镇化的实施空间有限,中部地区需要调整发展方式,西部地区尚有一定余地。在城镇化过程中,工业化存在前期“负向规律机制”和后期“正向反馈机制”两种作用。为实现城镇化低碳发展,需要转变工业和经济发展方式,改善对外贸易结构,同时提高环境污染治理投资效果。