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1.
城镇化的持续推进对城市空间扩展产生了新的需求,撤县(市)设区是中国城市市辖区实现扩容提质的主要手段之一。以杭州为例,定量测度撤县(市)设区后杭州城区空间扩展的时空特征及其各方面的影响,并探讨了这一区划调整对城市空间扩展影响的作用机理。研究发现:通过撤县(市)设区,杭州城区的建设用地东扩趋势明显,萧山和余杭两区的建设用地新增面积和扩展速度均高于平均水平,且两地建设用地空间存在多中心集聚特征,成为新一轮的杭州建设用地扩展高密度区,城市功能不断凸显。总体来看,撤县(市)设区对城市空间的影响是间接的,具有一定的滞后性,通过引导城市空间扩展的主要方向,实现中心城市人口和产业向新设市辖区的转移和集聚,提供城市空间扩展的载体。撤县(市)设区后需要通过后续的城市规划修编、土地性质和权限调整、生产要素集聚与空间重组等路径,对城市空间扩张与空间演变产生直接影响。 相似文献
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本文提出了一种通过调节一类状态依赖切换系统的阈值来生成多翅膀混沌吸引子的设计方案.首先,设计了两个类Lorenz子系统;然后,基于这两个子系统构造了一个状态依赖于阈值的切换策略,从而构造了一类状态依赖于阈值的切换系统;最后,通过调整切换系统的阈值来改变鞍焦平衡点的个数与分布,使得该切换系统能够产生4-6-8翅膀的混沌吸引子.此外,根据切换系统的状态方程设计了该系统的模拟电路,电路仿真结果与数值仿真结果一致.实验结果证实:该设计方案可以在不增加系统维数或无需设计复杂非线性函数的情况下生成多翅膀混沌吸引子. 相似文献
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气溶胶单次散射反照率(SSA)表征气溶胶吸收特性,很大程度上决定了气溶胶辐射强迫的正负,对准确评估气候变化中的气溶胶辐射强迫具有重要意义。根据2004年10月至2016年12月地基AERONET(AERosol RObotic NETwork)和OMI(Ozone Monitoring Instrument)卫星数据,分析了中国北方典型地区(北京、香河、兴隆和兰州郊区)SSA的变化趋势以及两组数据的一致性。4个站AERONET和OMI 的SSA年均值分别为:北京0.89±0.04和0.90±0.04,香河0.89±0.04和0.91±0.04,兴隆0.92±0.04和0.91±0.04,兰州0.91±0.04和0.90±0.04。4个站点SSA季节变化一致,夏季高冬季低。SSA年际变化趋势分析时,因有效数据较少且为非正态分布,用月中位数代替月均值,同时需对数据进行筛选和去季节变化,结果显示北京和香河均有地基和卫星有效数据时间尺度不同的情况,而兴隆OMI和兰州AERONET满足趋势分析要求。在研究期间,4站SSA均呈上升趋势,说明近年来中国北方气溶胶的吸收性减弱,散射特性增强,尤其北京四季地基和卫星数据均呈上升趋势,但香河秋冬吸收性增强。同时,对AERONET和OMI两种反演算法得到的SSA一致性进行分析。香河结果差异较大,仅30%的数据在误差±0.03的范围内,55%在±0.05的范围内;北京分别为46%(±0.03)和68%(±0.05),兴隆分别为50%(±0.03)和76%(±0.05),兰州数据一致性较好,分别为51%(±0.03)和86%(±0.05),总体来说是受人为活动影响比较明显的地区,数据一致性较差。 相似文献
4.
Employing the Unit Soil Carbon Amount (USCA) approach, soil carbon storage was calculated across the Northeast Plain of China based on the Multi-purpose Regional Geochemical Survey conducted in 2004 – 2006 (MRGS). The results indicated that the soil organic carbon (SOC) storage in topsoil (0 – 0.2 m), subsoil (0 – 1 m) and deep soil (0 – 1.8 m) was 768.1 Mt, 2978.4 Mt and 3729.2 Mt with densities of 3327.8 t/km2, 12,904.7 t/km2 and 16,157.5 t/km2, respectively. These values were consistent with national averages, whereas the soil carbon densities showed a clear increasing trend from the southern area of the Northeast Plain (Liaoning), to the middle (Jilin) and the northern Plain (Heilongjiang) — particularly in terms of topsoil carbon density, which increased from 2284.2, to 3436.7 and 3861.5 t/km2, respectively. In comparison to carbon data obtained from the Second National Soil Survey in 1984 – 1986 (SNSS), the topsoil SOC storage values from the MRGS were found to have decreased by 320.59 Mt (29.4%), with an average annual decline of 16.0 Mt (l.73%) over the 20 years. In the southern, middle and northern areas of the plain, soil carbon densities decreased by 1060.6 t/km2, 1646.4 t/km2 and 1300.2 t/km2, respectively, with an average value of 1389.0 t/km2 for the whole plain. These findings indicate that the decrease in soil carbon density varied according to the different ecosystems and land use types. Therefore, ratios of soil carbon density were calculated in order to study the carbon dynamic balance between ecosystems, and to further explore distribution characteristics, as well as the sequestration potential of SOC. 相似文献
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Can a 25-year trend in Soudano-Sahelian vegetation dynamics be interpreted in terms of land use change? A remote sensing approach 总被引:3,自引:0,他引:3
Agnès Bégué Elodie VintrouDenis Ruelland Maxime Claden 《Global Environmental Change》2011,21(2):413-420
This study is based on the premise that, in the Sahel/Sudanian belt of Africa, the main determinants of interannual variation in vegetation dynamics are rainfall and land cover type. We analyzed the spatio-temporal sensitivity of the NOAA-AVHRR 8 km-resolution vegetation index (NDVI) to (i) annual rainfall variability (0.5° × 0.5° resolution) acquired over a 25-year period (1982-2006); and (ii) land use changes in the different eco-climatic regions of the Bani catchment in Mali (130 000 km2). During the period 1982-2006, there was no clear trend in rainfall over the catchment, whereas there was a strong positive trend in the NDVI, both when the NDVI values were corrected using annual rainfall variability and when they were not. We divided the catchment into three eco-climatic regions based on the relationship between the annual NDVI and rainfall. In each region, we analyzed the observed greening in relation to changes in land use after correcting for the effect of annual rainfall on the NDVI. Results show that there is a mixed level of agreement between the land cover changes at the grid cell scale and the spatial pattern of the NDVI trend. Increased cropping does not explain the increase in the annual NDVI, except in the Sahelian part of the catchment. We hypothesize that the natural vegetation dynamics related to the non-linear rainfall patterns during the 25-year study period were responsible for these results. 相似文献
9.
利用1958年-2008年高低空气象观测资料以及山西省气象信息中心归档的109站1958年-2008年的原始气象记录月报表及其信息化产品资料,分别以最高气温≥35℃、≥37℃、≥40℃为指标,研究山西高温日的时空分布、变化趋势及环流特征。结果表明:a)山西高温日最早出现在4月中旬,最晚出现在9月中旬,≥35℃、≥37℃和≥40℃的高温日6月下旬最多;b)高温日数有随纬度、随海拔的升高而减少,有西部多于东部、南部多于北部、盆地多于山区的空间分布特征。≥40℃的高温区域主要集中在运城和临汾地区;C)1984年-2008年,35℃以上的高温日数整体呈上升趋势;1979年-2008年,30年间高温站次以153站次,10a的趋势增多。20世纪90年代以后,不仅高温日数增多,而且高温持续时间、强度、范围都有增强趋势;d)影响山西高温的500hPa环流形势主要有副高纬向性、副高经向型以及大陆高压(脊)控制型3类。在特定的流型配置下,T850≥25℃、T700≥13℃,T850≥26℃、T700≥14℃,T850≥28℃、T700≥15℃,T850≥32℃、T700≥16℃是山西省不同区域、不同风向影响时,≥35℃、≥37℃、≥40℃高温天气预报的临界值。 相似文献
10.
Currently there is a lack of knowledge on spatio-temporal patterns of land surface dynamics at medium spatial scale in southern Africa, even though this information is essential for better understanding of ecosystem response to climatic variability and human-induced land transformations. In this study, we analysed vegetation dynamics across a large area in southern Africa using the 14-years (2000–2013) of medium spatial resolution (250 m) MODIS-EVI time-series data. Specifically, we investigated temporal changes in the time series of key phenometrics including overall greenness, peak and timing of annual greenness over the monitoring period and study region. In order to specifically capture spatial and per pixel vegetation changes over time, we calculated trends in these phenometrics using a robust trend analysis method. The results showed that interannual vegetation dynamics followed precipitation patterns with clearly differentiated seasonality. The earliest peak greenness during 2000–2013 occurred at the end of January in the year 2000 and the latest peak greenness was observed at the mid of March in 2012. Specifically spatial patterns of long-term vegetation trends allowed mapping areas of (i) decrease or increase in overall greenness, (ii) decrease or increase of peak greenness, and (iii) shifts in timing of occurrence of peak greenness over the 14-year monitoring period. The observed vegetation decline in the study area was mainly attributed to human-induced factors. The obtained information is useful to guide selection of field sites for detailed vegetation studies and land rehabilitation interventions and serve as an input for a range of land surface models. 相似文献