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31.
泛长江三角洲城市旅游经济发展的空间效应   总被引:1,自引:0,他引:1  
基于泛长江三角洲2002~2012年市域面板数据,并借助面板SDM及空间效应分解方法,对区域城市旅游经济发展及其动力因子的空间效应进行实证分析。结果表明:1区域城市入境和国内旅游发展都存在明显的空间依赖性和空间溢出效应,当邻近城市入境和国内旅游发展水平每提高1%,将促进本城市入境和国内旅游发展水平增加约0.257%和0.312%;2区域城市入境和国内旅游发展各动力因子的空间交互作用也较为明显。旅游资源禀赋、旅游服务设施、旅游交通设施和城市经济发展水平对入境旅游发展具有显著的空间溢出效应,旅游服务设施和城市经济发展水平对国内旅游发展的空间溢出效应也较显著。3保障性因子多为正向溢出,吸引性因子多为负向溢出。前者体现了动力因子的空间模仿效应,后者反映了空间竞争效应。保障性因子和吸引力因子的空间效应强度及作用路径差异推动着区域旅游发展格局不断演进。  相似文献   
32.
近年来,长三角地区灰霾天气持续增多,空气细颗粒物污染问题日益突出。基于2013年1月至2015年5月长三角地区及周边缓冲区内共214个空气质量监测站点PM2.5逐时监测数据,运用普通克里金插值方法,从年、季、月尺度上分析了PM2.5的空间分布格局和时间动态变化。结果表明:(1)2 a来,长三角地区PM2.5浓度空间分布明显呈现整体北部高南部低,局部地区略有突出的分布特征;长三角地区PM2.5浓度年均值为57.08μg/m3;其中,江苏省PM2.5的年均值为三省市最高,为65.84μg/m3;其次为上海市,年均值为53.87μg/m3;浙江省PM2.5的年均值较小,为51.53μg/m3。(2)从季节尺度分析,长三角地区PM2.5浓度变化表现出冬春季高,夏秋季低的变化趋势;这与区域内冬季风向来源、降水稀少、气象扩散条件差有着密切的关系; (3)长三角地区月浓度变化大致呈U形分布; 12月份PM2.5浓度最高; 3月份以后, PM2.5浓度开始呈逐步下降趋势;在5~9月份,区域PM2.5处于"U"字的谷底,其中6月份夏收时期秸秆焚烧、气象等因素导致PM2.5浓度有略微升高;进入10月份后迅速攀升,且11、12月份呈现持续升高态势。  相似文献   
33.
基于长三角地区1951~2014年56个国家级气象站点逐日气温记录资料,通过计算极端高温事件相关指标(极端最高温TXx,极端最低温TNn,高温日数Htd和低温日数Ltd),利用GIS空间分析技术和Mann-Kendall时间趋势分析方法分析了长三角地区近60 a极端高温事件的空间分异特征和时间变化趋势,并探讨了城市化发展对区域极端高温事件时空变异的影响。结果表明:(1)长三角地区极端高温事件指标均表现为一定的上升趋势,极端低温指标(TNn和Ltd)线性变化趋势比极端高温指标(TXx和Htd)更为显著,变化趋势最显著的地区集中在经济和城市化水平较高的城市及周边地区(如上海、杭州等)。(2)极端高温指标(TXx和Htd)多年平均总体表现为南高北低,西高东低的趋势,而极端低温指标中TNn多年平均为由中部向南北两侧降低,Ltd多年平均呈现自中部向南北南侧增多的趋势。(3)从1990~2000到2000~2010年,城市化对极端高温事件的影响增强,快速城市化对北部城市极端高温事件的影响高于南部城市。  相似文献   
34.
上海都市旅游与长三角区域旅游的互动响应   总被引:4,自引:0,他引:4  
随着经济全球化和区域一体化进程的加速,从长江三角洲地区区域旅游发展的视角重新审视上海都市旅游发展,探析都市旅游与其周边区域旅游发展的互动响应,具有重要的先导和示范效应。基于上海都市旅游发展面临挑战及长三角区域旅游合作进程的梳理,在对长三角旅游城市体系规模结构、长三角城市旅游经济联系度等指标的测评分析与研究基础上,提出上海都市旅游与长三角区域旅游互动响应路径首先是长三角核心城市(上海 南京 杭州)网络化发展,通过旅游产业网络化、市场网络化、组织网络化、服务保障体系网络化等各个子(分)网络共同构成互补、协作和理性竞争的长三角大旅游产业体系,尝试构筑“上海都市旅游 长三角区域旅游”共轭型的旅游地域综合体,旨在推进上海都市旅游与长三角区域旅游的和谐可持续发展,进而提升长三角区域旅游的整体竞争优势。  相似文献   
35.
This review summarizes and analyzes available data in the literature (mostly after 2000) on the occurrence of dichlorodiphenyltrichloroethane (DDT) and its main metabolites, dichlorodiphenyldichloroethane (DDD) and chlorodiphenyldichloroethylene (DDE), in the environment of the Pearl River Delta (PRD), South China. Generally, the concentration levels of the sum of DDT, DDD, and DDE, designated as DDTs thereafter, have not significantly declined since 1983. However, the composition of DDTs residues has changed with time. DDTs in soil, freshwater sediment and freshwater fish species were mainly residues from chronological use. There is evidence that new point sources, such as dicofol and anti-fouling paint, may have contributed DDTs to various environmental compartments. Risk assessment against existing criteria indicated that the levels of DDTs in water and some fish species may pose adverse effects to humans or wildlife, and those in sediment/soil may also cause negative impacts to the eco-environment of the PRD.  相似文献   
36.
A coupled surface water-groundwater model of the Okavango Delta has been built based on the United States Geological Survey software MODFLOW 2000 including the SFR2 package for stream-flow routing. It will provide a new tool for evaluating water management and climate change scenarios. The delta's size and limited accessibility make direct, on the ground data acquisition difficult. Remote sensing methods are the most promising source of acquiring spatially distributed data for both model input parameters and calibration. Topography, aquifer thickness, channel positions, evapotranspiration and precipitation data are all based on remote sensing. Simulated flooding patterns are compared to patterns derived from visible to thermal NOAA-AVHRR data and microwave radar ENVISAT-ASAR data.  相似文献   
37.
长江三角洲城市间环境公平性研究   总被引:2,自引:0,他引:2  
定义了环境公平性包括基于自然资源禀赋的环境公平性及基于经济产出的环境公平性。为表征基于自然资源禀赋的环境公平性,构造并计算了长江三角洲(简称长三角)各地环境压力指数。为表征经济产出的环境公平性,构造了环境基尼系数与绿色贡献系数。根据2004年环境经济发展水平及污染排放数据(COD与SO2排放量),计算了长三角各地级市的环境压力与基于GDP的COD与SO2环境基尼系数与各地的绿色贡献系数。借助分层聚类分析,得出以下结论:(1)从基于自然资源禀赋的环境公平性上讲,上海面临的环境压力最高,江苏省城市较浙江省高;(2)从基于经济产出的环境公平性上讲,长三角地区基于GDP的COD、SO2环境基尼系数分别为017与013,相较全国,长三角实现了更高发展水平上的均衡;(3)在长三角内部比较,镇江、泰州等部分城市COD、SO2排放的生态效率仍需进一步提高。最后指出:在区域层面上合理分布区域环境压力,在比较中提高各地生态效率是推动长三角环境保护发展、促进长三角环境保护一体化的重要举措。  相似文献   
38.
Goal, Scope and Background Rapid urbanization and the expansion of industrial activities in the past several decades have led to large increases in emissions of pollutants in the Pearl River Delta of south China. Recent reports have suggested that industrial emission is a major factor contributing to the damages in current natural ecosystem in the Delta area. Tree barks have been used successfully to monitor the levels of atmospheric metal deposition in many areas, but rarely in China. This study aimed at determining whether atmospheric heavy metal deposition from a Pb-Zn smeltery at Qujiang, Guangdong province, could be accurately reflected both in the inner bark and the outer bark of Masson pine (Pinus massoniana L.). The impact of the emission from smeltery on the soils beneath the trees and the relationships of the concentrations between the soils and the barks were also analyzed. Methods Barks around the bole of Pinus massoniana from a pine forest near a Pb-Zn smeltery at Qujiang and a reference forest at Dinghushan natural reserve were sampled with a stainless knife at an average height of 1.5 m above the ground. Mosses and lichens on the surface barks were cleaned prior to sampling. The samples were carefully divided into the inner bark (living part) and the outer bark (dead part) in the laboratory, and dried and ground, respectively. After being dry-ashed, the powder of the barks was dissolved in HNO3. The solutions were analyzed for iron (Fe), manganese (Mn), copper (Cu), zinc (Zn), chromium (Cr), nickel (Ni) and cobalt (Co) by inductively coupled plasmas emission spectrometry (ICP, PS-1000AT, USA) and Cadmium (Cd) and lead (Pb) by graphite furnace atomic absorption spectrometry (GFAAS, ZEENIT 60, Germany). Surface soils (0–10 cm) beneath the sample trees were also collected and analyzed for the selected metals. Results and Discussion Concentrations of the selected metals in soils at Qujiang were far above their environmental background values in the area, except for Fe and Mn, whilst at Dinghushan, they were far below their background values, except for Cd and Co. Levels of the metals, in particular Pb and Zn, in the soils beneath the sample trees at Qujiang were higher than those at Dinghushan with statistical significance. The result suggested that the pine forest soils at Qujiang had a great input of heavy metals from wet and dry atmospheric deposition, with the Pb-Zn smeltery most probably being the source. Levels of Cu, Fe, Mn, Zn, Ni and Pb at Qujiang, both in the inner and the outer bark, were statistically higher than those at Dinghushan. Higher concentrations of Pb, Fe, Zn and Cu may come from the stem-flow of elements leached from the canopy, soil splash on the 1.5 m height and sorption of metals in the mosses and lichens growing on the bark, which were direct or indirect results from the atmospheric deposition. Levels of heavy metals in the outer barks were associated well with the metal concentrations in the soil, reflecting the close relationships between the metal atmospheric deposition and their accumulation in the outer bark of Masson pine. The significant (p<0.01) correlations of Fe-Cu, Fe-Cr, Fe-Pb, Fe-Ni, Pb-Ni, and Pb-Zn in the outer barks at Qujiang again suggested a common source for the metals. The correlation only occurred between Pb and Ni, Cd and Co in the outer barks at Dinghushan, which suggested that those metals must possibly have other uncommon sources. Conclusions Atmospheric deposition of the selected metals was great at Qujiang, based on the levels in the bark of Pinus massoniana and on the concentrations in the soils beneath the trees compared with that at Dinghushan. Bark of Pinus massoniana, especially the outer bark, was an indicator of metal loading at least at the time of sampling. Recommendations and Perspectives The results from this study and the techniques employed constituted a new contribution to the development of biogeochemical methods for environmental monitoring particularly in areas with high frequency of pollution in China. The method would be of value for follow up studies aimed at the assessment of industrial pollution in other areas similar with the Pearl River Delta.  相似文献   
39.
利用WRF-Chem模式,对2013年11月29日至12月11日长江三角洲地区的严重空气污染事件进行数值模拟,研究长三角核心区不同污染物本地源和外来输送所占比重。分析长三角核心区排放源对本地不同污染物浓度的污染贡献。结果表明,在2013年12月的这一次污染事件中,颗粒物平均本地贡献与外来输送基本比重相当;而SO_2、CO、NH_3、NO_x这4种气体污染物则以本地贡献为主,本地贡献的差异与气体的化学反应活性有关,活性越强本地贡献比重越大。污染过程中12月7日至12月9日00:00为污染最严重的时段,污染物的本地贡献有明显上升。区域间输送的方向和强度与地面风向、风速有紧密的联系。在边界层高度范围内,大部分污染物越往高空本地排放源的贡献越弱,外来输送主导作用增强,而硝酸盐在地面、1 km和1.5 km的本地贡献差异远小于其他污染物。  相似文献   
40.
为研究长三角典型城市公交车细颗粒物排放特征,采用便携式排放测试系统(PEMS),对上海、杭州和苏州三大城市的8辆典型城市公交车开展实际道路细颗粒物排放实验。研究结果表明:长三角典型城市车辆的实际道路平均车速为22.7 km/h,怠速比例为20.4%,加减速比例为54.5%;在稳态行驶工况下,随车速增大,公交车颗粒物质量及数量排放呈逐渐增大趋势;在20 km/h车速范围内,上海国III、国IV和苏州国III公交车颗粒数浓度呈双峰粒径分布,其他公交车均为单峰分布;随比功率的增大,公交车颗粒质量呈逐渐增大的趋势,国IV公交车颗粒数量呈先下降再增大趋势,国III公交车颗粒数量呈上升趋势;公交车颗粒质量综合排放因子为0.8~189 mg/km,颗粒数量综合排放因子为6.2×1012~9.6×1014#/km。  相似文献   
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