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241.
在引潮位展开过程中,为使大地系数的数值在不同阶次中保持相对稳定,对其进行规格化处理。从引潮位的基本理论公式出发,在分析缔合勒让德函数及其完全规格化的基础上,给出了引潮位展开中3类不同规格化(Doodson规格化、Cartwright & Tayler规格化、Hartmann & Wenzel规格化)公式的具体形式,得到3者之间的转换关系与转换系数。同时给出Doodson规格化中2~6阶规格化因子的具体数值,指出并改正Doodson、Roosbeek文献和IERS 2003、2010规范中的3处错误。 相似文献
242.
Landslides generate enormous volumes of sediment in mountainous watersheds; however, quantifying the downstream transport of landslide‐derived sediment remains a challenge. Landslide erosion and sediment delivery to the Shihmen Reservoir watershed in Taiwan was estimated using empirical landslide frequency–area and volume–area relationships, empirical landslide runout models, and the Hydrological Simulation Program‐ FORTRAN (HSPF). Landslide erosion rates ranged from 0.4 mm yr‐1 to 2.2 mm yr‐1 during the period 1986–2003, but increased to 7.9 mm yr‐1 following Typhoon Aere in 2004. The percentage of landslide sediment delivered to streams decreased from 78% during the period 1986–1997 to 55% in 2004. Although the delivery ratio was lower, the volume of landslide sediment delivered to streams was 2.81 × 106 Mg yr‐1 in 1986–1997 and 8.60 × 106 Mg yr‐1 in 2004. Model simulations indicate that only a small proportion of the landslide material was delivered downstream. An average of 13% of the landslide material delivered to rivers was moved downstream during the period 1986–1997. In 2004, the period including Typhoon Aere, the annual fluvial sediment yield accounted for approximately 23% of the landslide material delivered to streams. In general, the transfer of sediment in the fluvial system in the Shihmen Reservoir watershed is dominantly transport limited. The imbalance between sediment supply and transport capacity has resulted in a considerable quantity of landslide material remaining in the upper‐stream regions of the watershed. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
243.
Based on the estimation of greenhouse gases (GHG) emissions and carbon sequestration of the total conversion of marshlands (TMC), marshlands conversion to paddy fields (MCPFs) and marshlands conversion to uplands (MCULs), this study revealed the contribution to the global warming mitigation (CGWM) of paddy fields versus uplands converted from marshlands in the Sanjiang Plain (excluding the Muling‐Xingkai Plain on south of Wanda Mountain), Heilongjiang Province, northeast China. The results showed that the total area of MCPFs and MCULs was 504.23 × 103 ha between 1982 and 2005. The CGWM per unit area was 45.53 t CO2eq/ha for MCPFs and that was 23.95 t CO2eq/ha for MCULs, with an obvious 47.40% reduction. The MCPFs and MCULs ecosystems acted as the carbon sink all of the year. As far as CGWM per unit area is concerned, MCPFs mitigated the greenhouse effect which was greater than MCULs. And it was effective that the implementation of the uplands transformed into paddy fields in Northeast China with regard to marshlands protection and croplands (including paddy fields and uplands) reclamation. 相似文献
244.
基于东台国土信息化现状,提出综合信息监管平台建设的总体架构、业务数据库和系统功能设计,并探讨了未来数据共享平台与当前信息化系统的关系。 相似文献
245.
通过观察对比等距映射流形坐标和光谱特征的变化趋势来解释每一维流形坐标的光谱含义,目的在于从具有光谱解释的流形图中提取低维流形特征。通过设计两个实例来验证本文提出的低维流形特征提取方法。结果显示,Isomap低维流形图可用于提取目标地物的低维流形特征,同时也证明了等距映射流形坐标光谱解释的可行性。这对Isomap降维在高光谱影像中的应用具有很大的理论指导意义。 相似文献
246.
George Xian Collin Homer Brett Bunde Patrick Danielson Jon Dewitz Joyce Fry 《国际地球制图》2013,28(6):479-497
We estimated urbanization rates (2001–2006) in the Gulf of Mexico region using the National Land Cover Database (NLCD) 2001 and 2006 impervious surface products. An improved method was used to update the NLCD impervious surface product in 2006 and associated land cover transition between 2001 and 2006. Our estimation reveals that impervious surface increased 416 km2 with a growth rate of 5.8% between 2001 and 2006. Approximately 1110.1 km2 of non-urban lands were converted into urban land, resulting in a 3.2% increase in the region. Hay/pasture, woody wetland, and evergreen forest represented the three most common land cover classes that transitioned to urban. Among these land cover transitions, more than 50% of the urbanization occurred within 50 km of the coast. Our analysis shows that the close-to-coast land cover transition trend, especially within 10 km off the coast, potentially imposes substantial long-term impacts on regional landscape and ecological conditions. 相似文献
247.
浅对流云(Shallow Convective Cloud,SCC)对于认识和预报深对流强雷暴、辐射平衡以及气候变化有着十分重要的科学和意义。然而浅对流云水平、垂直尺度较小,并且生命尺度短,对其观测技术有限,目前针对浅对流云的观测研究仍然较少。本文采用2009~2010年CloudSat、CALIPSO(Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation satellite)和MODIS(Moderate-resolution Imaging Spectroradiometer)卫星融合产品2B-CLDCLASS-LIDAR和2B-GEOPRO对SCC进行研究,研究分析表明内蒙古草原区域SCC出现频率有明显季节变化,主要发生在夏季和秋季,其出现频率水平分布呈现西北低、东南高的趋势,与海拔梯度变化密切相关。SCC平均云底高度,8月最高,12月最低,呈现明显的冬夏差异。通过比较不同地区SCC云底高度发现,随着观测区域海拔高度增加,SCC云底高度有上升趋势。除此以外,海拔越高SCC云底高度变化幅度越大。 相似文献
248.
Climate Dynamics - The reversed impacts of the Arctic oscillation (AO) on precipitation over the South China Sea and its surrounding areas (SCSA) in October and November during 1979–2014 are... 相似文献
249.
250.
Sensitivity analysis of groundwater level in Jinci Spring Basin (China) based on artificial neural network modeling 总被引:3,自引:1,他引:2
Jinci Spring in Shanxi, north China, is a major local water source. It dried up in April 1994 due to groundwater overexploitation. The groundwater system is complex, involving many nonlinear and uncertain factors. Artificial neural network (ANN) models are statistical techniques to study parameter nonlinear relationships of groundwater systems. However, ANN models offer little explanatory insight into the mechanisms of prediction models. Sensitivity analysis can overcome this shortcoming. In this study, a back-propagation neural network model was built based on the relationship between groundwater level and its sensitivity factors in Jinci Spring Basin; these sensitivity factors included precipitation, river seepage, mining drainage, groundwater withdrawals and lateral discharge to the associated Quaternary aquifer. All the sensitivity factors were analyzed with Garson’s algorithm based on the connection weights of the neural network model. The concept of “sensitivity range” was proposed to describe the value range of the input variables to which the output variables are most sensitive. The sensitivity ranges were analyzed by a local sensitivity approach. The results showed that coal mining drainage is the most sensitive anthropogenic factor, having a large effect on groundwater level of the Jinci Spring Basin. 相似文献