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1.
深渊着陆器在下潜过程中,由于受到海流的影响,其坐底位置会偏离投放点,偏离量和偏离方向很难估计,而声学水下定位方法在深渊海区不太适用.通过在海面进行气枪十字放炮作业,利用炮点准确位置和时间信息,以及海底地震仪(Ocean Bottom Seismometer,OBS)记录的直达水波到时,对深渊着陆器的坐底位置进行精确测量可以提供有效定位数据.该方法对采集得到的数据进行预处理,使用蒙托卡洛方法结合最小二乘法,对万泉号着陆器实际坐底位置进行了反演校正,得到三个潜次的位置校正偏移量分别为211m、178m、861m,偏移方向各不相同,校正精度为±20m,比以往的定位精度大为提高.此外,该方法测量确定了三个海底标志物的精确位置,为未来万米无人或载人潜器提供了可靠的水下参考坐标. 相似文献
2.
Affected by climate change and policy factors, Kazakhstan is the country with the most severe ecological degradation and grassland conflicts in Central Asia. Therefore, studying the state of grassland carrying resources in Kazakhstan is particularly important for understanding the responses of grassland ecosystems to climate change and human activities. Based on Kazakhstan's remote sensing data and animal husbandry statistics, this study analyzes the patterns of changes in grassland ecosystems in Kazakhstan based on the supply and consumption of these ecosystems. The results show that: 1) From 2003 to 2017, the number of livestock raised in Kazakhstan showed a trend of sustained and steady growth. Due to freezing damage, the scale of livestock farming decreased in 2011, but a spatial difference in the livestock farming structure was not obvious. 2) The fluctuation of grassland supply in Kazakhstan has increased, while the consumption due to animal husbandry has also continued to increase, resulting in an increasing pressure on the grassland carrying capacity. 3) Between 2003 and 2017, the overall grassland carrying status of Kazakhstan have been abundant, but the grassland carrying pressure index has shown a steadily increasing trend, the grassland carrying pressure is growing, and it is mainly determined by grassland productivity. The greater pressure in lower Kyzylorda state, the southern Kazakhstan state of the cultivated land and the northern Kazakhstan state has gradually expanded to include the agro-pastoral zone and the semi-desert zone. 相似文献
3.
Urban expansion is a hot topic in land use/land cover change(LUCC) researches. In this paper, maximum entropy model and cellular automata(CA) model are coupled into a new CA model(Maxent-CA) for urban expansion. This model can help to obtain transition rules from single-period dataset. Moreover, it can be constructed and calibrated easily with several steps.Firstly, Maxent-CA model was built by using remote sensing data of China in 2000(basic data) and spatial variables(such as population density and Euclidean distance to cities). Secondly, the proposed model was calibrated by analyzing training samples,neighborhood structure and spatial scale. Finally, this model was verified by comparing logistic regression CA model and their simulation results. Experiments showed that suitable sampling ratio(sampling ratio equals the proportion of urban land in the whole region) and von Neumann neighborhood structure will help to yield better results. Spatial structure of simulation results becomes simple as spatial resolution decreases. Besides, simulation accuracy is significantly affected by spatial resolution.Compared to simulation results of logistic regression CA model, Maxent-CA model can avoid clusters phenomenon and obtain better results matching actual situation. It is found that the proposed model performs well in simulating urban expansion of China. It will be helpful for simulating even larger study area in the background of global environment changes. 相似文献
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As an important component of China' transportation systems, for a long time, the insufficient performance of transport in QinghaiTibet Plateau(QTP) was a bottleneck restricting the economic growth and social development in this area. Nevertheless, the implementation of the western development strategy has accelerated the preliminary construction of comprehensive transport network since 2000. Due to the large area and significant geographical heterogeneity, there is a growing need to understand the relationship between transportation and economic development based on the perspective of spatial difference. By using GIS-based raster analysis and Geographically Weighted Regression(GWR) model, we investigated the spatial-temporal distribution of highway, railway and airport accessibility, respectively, and estimated the correlation and heterogeneity between transport accessibility and the level of economic development. Results revealed that:(1) Transport accessibility in the QTP improved by 53.38% in the past 15 years, which is specifically embodied in the improvement of both highway and railway.(2) Accessibility presented prominent differentiation in the space, increasing from west to east and reducing with the rise of elevation, specifically, the best accessibility area of the highway is below 4000 m above sea level, while the area with an altitude of over 4000 m has the lowest aviation time cost.(3) In general, the long weighted average time cost to critical transport facilities posed significantly negative effect on county economic growth in QTP, more positively, the adverse effect gradually weakened over time.(4) Obvious heterogeneity exists at the influence of different transport accessibility factors on the level of economic development, reflecting both in the horizontal space and altitudinal belt. Therefore, region-specific policies should be addressed for the sustainable development of transport facilities as well as economy in the west mountain areas. 相似文献
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东天山造山带的图拉尔根镁铁-超镁铁杂岩体为一个早古生代长期活动的幔源岩浆通道,大型铜镍钴硫化物矿体赋存于Ⅰ号超镁铁质岩体的顶部,不同类型岩石中辉石矿物的流体挥发份化学组成以H2O为主(平均91%,5400.4mm3/g),其次为H2(2.0%)、H2S(2.3%)和CO2(2.1%);赋矿角闪橄榄岩中CO2和H2S含量最高,辉长岩中流体挥发份含量低于辉石橄榄岩和橄榄辉石岩等岩浆早期结晶的岩石。CO2和CH4的δ13C值位于地壳与甲烷氧化的范围内,甲烷同系物的碳同位素组成具有正序分布模式,部分样品(TLG512)释出的CH4和C2H6具有较重的δ13C值和反序分布特征。表明I号岩体不同类型岩石可能是不同期次岩浆活动的产物,成矿岩浆具有富H2O和H2S的特征,可能起源于被流体交代的亏损地幔源区,混染壳源组分可能为俯冲板片来源蚀变沉积有机质组分。 相似文献
6.
利用2007~2010年间14景ALOS PALSAR数据及SBAS InSAR技术,获取阿尔金断裂带中段91°E附近现今地壳形变速率场,并反演该地区断层的滑动速率和闭锁深度。结果表明,阿尔金断裂中段地区的形变速率自北向南呈3个线性梯度变化区,分别为阿尔金山东段8~12 mm/a、索尔库里盆地6~7 mm/a、阿尔金断裂带以南约0 mm/a。3个速率梯度变化区主要集中在喀腊达坂断裂和阿尔金主断裂上;拟合的断层就位于金雁山南缘、喀腊达坂断裂南邻,走滑速率从西(7.1 mm/a)向东(14.0 mm/a)逐渐增大,闭锁深度自西(4.5 km)向东(10.6 km)逐渐趋深。结合前人研究推测,金雁山(阿尔金山链东部)与索尔库里拉分盆地组成的复合破裂构造模式,是转换断层运动时应力和应变调整的主要驱动机制。 相似文献
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福建仙游地区自2010年8月开始出现地震序列活动,2012年地震活动水平有所提高,2013年以来地震活动水平进一步提高,ML3.0以上地震集中活跃。福建数字化地震台网对这些地震进行了较完整的监测,记录到丰富的观测资料。通过利用P、S波到时数据对ML≥1.0地震序列进行重新定位,发现地震序列空间位置和震源深度呈现出不同的时段性分布特征。同时利用福建数字化地震台网记录到的波形资料,采用"剪切-粘贴"法,获取了ML≥3.5的震源机制解和最佳震源深度。通过震群序列活动特征、震源位置分布、震源区断层活动分布以及震源机制解特征综合判断认为:仙游震群序列为库水下渗促使断裂滑动引起的构造地震,属于水库诱发型构造型地震,发震构造为穿过库区的NW向石苍断裂。 相似文献