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Ａｑｕａｓｉ－ｔｈｒｅｅ－ｄｉｍｅｎｓｉｏｎａｌｎｕｍｅｒｉｃａｌｐｒｅｄｉｃｔｉｏｎｍｏｄｅｌｏｆｓａｌｉｎｉｔｙｓｔｒｕｃｔｕｒｅｉｎＢｏｈａｉＳｅａａｎｄＨｕａｎｇｈａｉＳｅａ￥ＳｕｎＷｅｉｙａｎｇａｎｄＷａｎｇＺｏｎｇｓｈａｎ（Ｒｅｃｅｉｖｅ... 相似文献
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In the paper, the sea is divided into two layers with density jumping, assuming that the physical parameters in each layer are independent of depth. Two-layer flow field with tide and wind currents is calculated with extended ADI method, after the calculation for flow field is stable , coupled with temperature diffusion equations and thermohaline depth prediction equation, a four-day time prediction of the surface, bottom temperature and thermohaline depth of the Huanghai and the Bohai Seas. At the same time, three dimensional temperature field of sea water is predicted through vertical temperature distribution function. The result indicates that the prediction quality of the whole model and the fitting degree between the predicted result and the measured values are satisfactory. 相似文献
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根据二维流体动力学方程和深度平均盐度扩散方程在河口径流量以及蒸发和降水之差为已知情况下构成的闭合方程组,预报出深度平均盐度,然后利用底层盐度与深度平均盐度、水深和时间(月)之间的经验关系,给出底层盐度的二维预报。为了检验试报结果的可靠性,文中将黄渤海底层盐度的试报结果(1979年7月11日,时效为3d)与标准断面观测资料(7月4—14日观测,124.5°E以西,共104站)作一粗略比较。比较表明,试报结果与实测值的相关系数为0.96,均方误差为α=0.26,绝对误差小于0.2和0.3的站数分别占总站数的63.5％和77.0％,而总均绝差为0.19。由此可见,试报的效果是令人满意的。 相似文献
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公共服务设施作为社区生活圈的核心内容,直接决定了社区生活圈的生活品质。对社区公共服务设施建设情况进行量化评价,并对设施建设的未来规划提供科学决策支持逐渐成为规划者和决策者的一大难题。本文通过ArcGIS工具对POI数据进行处理、统计和可视化,在总结他人社区生活圈量化评价方法的基础上,结合温州本地特色,搭建了一套社区生活圈公共服务设施评价模型。利用该模型可对各类社区进行综合评分和分级,并根据模型评分结果挖掘公共服务设施未来优化方向。此外,还实现了社区生活圈评分的动态计算与展示,为社区服务设施建设选址、路网建设与公共服务设施建设优先级评定等提供决策支持。既可帮助规划者和决策者快速建立对整个区域生活圈建设现状的量化认知,又可助力公共服务设施的优化配置,为社区生活圈公共服务品质评价与提升探寻全新的思路与方法。 相似文献
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ＡｎｕｍｅｒｉｃａｌｐｒｅｄｉｃｔｉｏｎｍｏｄｅｌｏｆｓｔｒｏｎｇｔｈｅｒｍｏｃｌｉｎｅｉｎｔｈｅＢｏｈａｉａｎｄｔｈｅＨｕａｎｇｈａｉＳｅａｓＷａｎｇＺｏｎｇｓｈａｎ,ＸｕＢｏｃｈａｎｇ,ＪｉｎＭｅｉｂｉｎｇ,ＺｏｕＥｍｅｉ,ＬｉＦａｎｈｕａ（Ｒｅ... 相似文献
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Impacts of climate change on net primary productivity in arid and semiarid regions of China 总被引：2，自引：0，他引：2
In recent years, with the constant change in the global climate, the effect of climate factors on net primary productivity(NPP) has become a hot research topic. However, two opposing views have been presented in this research area: global NPP increases with global warming, and global NPP decreases with global warming. The main reasons for these two opposite results are the tremendous differences among seasonal and annual climate variables, and the growth of plants in accordance with these climate variables. Therefore, it will fail to fully clarify the relation between vegetation growth and climate changes by research that relies solely on annual data. With seasonal climate variables, we may clarify the relation between vegetation growth and climate changes more accurately. Our research examined the arid and semiarid areas in China(ASAC), which account for one quarter of the total area of China. The ecological environment of these areas is fragile and easily affected by human activities. We analyzed the influence of climate changes, especially the changes in seasonal climate variables, on NPP, with Climatic Research Unit(CRU) climatic data and Moderate Resolution Imaging Spectroradiometer(MODIS) satellite remote data, for the years 2000–2010. The results indicate that: for annual climatic data, the percentage of the ASAC in which NPP is positively correlated with temperature is 66.11%, and 91.47% of the ASAC demonstrates a positive correlation between NPP and precipitation. Precipitation is more positively correlated with NPP than temperature in the ASAC. For seasonal climatic data, the correlation between NPP and spring temperature shows significant regional differences. Positive correlation areas are concentrated in the eastern portion of the ASAC, while the western section of the ASAC generally shows a negative correlation. However, in summer, most areas in the ASAC show a negative correlation between NPP and temperature. In autumn, precipitation is less important in the west, as opposed to the east, in which it is critically important. Temperatures in winter are a limiting factor for NPP throughout the region. The findings of this research not only underline the importance of seasonal climate variables for vegetation growth, but also suggest that the effects of seasonal climate variables on NPP should be explored further in related research in the future. 相似文献
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本文根据黄渤海海区水温资料建立了无维深度η和无维温度θＴ以及相应的水温垂直剖面的相似函数θＴ＝ｆ（η）。在此基础上，设：上均匀层厚度ｈ＝ｈ（ｘ，ｙ，ｔ）、表层水温ＴＳ＝ＴＳ（ｘ，ｙ，ｔ）、上均匀层以下的温度ＴＺ＝ＹＺ（ＹＺ（ｘ，ｙ，ｚ，）、底层温度ＴＨ＝（ｘ，ｙ，ｔ）、流速分量ｕ＝ｕ（ｘ，ｙ，ｔ）和ｖ＝ｖ（ｘ，ｙ，ｔ）及海面起伏ξ＝ξ（ｘ，ｙ，ｔ），提出了水温垂直结构的准三维数值预报模式。模式的求解是用“ＡＤＩ”和“ＨＮ”法进行。文中引列了预报时效为４ｄ的试报结果，效果是令人满意的。 相似文献