排序方式： 共有6条查询结果，搜索用时 15 毫秒
1
1.
2.
基于IC卡综合换乘信息的公交乘客上车站点推算 总被引：1，自引：0，他引：1
现有研究在缺少公交车运营信息的情况下,利用公交线间正交换乘信息的方法来识别公交车持卡乘客的上车站点,但在实际运用中很多班次无正交换乘的乘客,容易导致公交乘客上车站点匹配困难。因此,本文提出了一种基于IC卡综合换乘信息的公交乘客上车站点推算方法,该方法充分利用IC卡数据中的综合换乘信息（公交线间的正交和非正交换乘信息、地铁和公交线间的换乘信息）与公交网数据确定班次行驶方向,对班次内的乘客进行分组,充分利用综合换乘信息确定基准组及其对应的上车站点;然后,通过最小偏差规则匹配待定组的上车站点,实现公交乘客上车站点的推估。利用换乘信息确定班次行驶方向弥补了现有研究无法确定班次行驶方向的不足,使公交乘客上车站点推算方法更科学;最后,基于2011年8月的“深圳通”IC卡数据进行实例分析,对比只利用正交换乘信息确定的基准组数量和利用综合换乘信息确定的基准组数量,结果表明：该方法可使确定上车站点的组数占总组数的比值提高,克服了只利用正交换乘信息推算上车站点方法中存在的单个班次无基准组从而无法进行站点匹配的困难。本文方法比只利用正交换乘信息匹配站点,具有更高的可行性与准确率。 相似文献
3.
徐家围子断陷火山岩天然气藏分布具有4个特征：纵向分布层位多,深度范围大;平面上分布在生气凹陷内或附近,且沿断裂带分布;自储自盖;气-水关系复杂.其成藏与分布主要受3个因素控制,即：源岩区控制着火山岩天然气藏的分布区域,断裂带和古隆起控制着火山岩天然气藏分布的具体部位,火山岩相控制着天然气的储集.源岩排气史、断裂活动史、火山岩罔闭形成史和天然气运聚史的综合研究认为：火山岩气藏形成的主要时期为泉头组沉积晚期-青山口组沉积时期、嫩汀组沉积末期和明水组沉积时期.成藏模式为断陷深部沙河子组源岩生成的天然气在主成藏期沿断裂向上运移至断裂带处的火山岩圈闭中或古隆起上的火山岩圈闭中聚集成火山岩气藏. 相似文献
4.
5.
Tukimat Lihan Sei-Ichi SaitohTakahiro Iida Toru HirawakeKohji Iida 《Estuarine, Coastal and Shelf Science》2008
River plumes have important effects on marine ecosystems. Variation in the extent and dispersal of river plumes is often associated with river discharge, wind characteristics and ocean circulation. The objectives of this study were to identify the Tokachi River plume by satellite, determine its relationship with river discharge and clarify its temporal and spatial dynamics. SeaWiFS multispectral satellite data (normalized water-leaving radiance: nLw) with 1.1 km spatial resolution were used to determine the spatial and temporal variability of the plume during 1998–2002. Supervised maximum likelihood classification using six channels of nLw at 412, 443, 490, 510, 555 and 670 nm with each band's spectral signature statistic was used to define classes of surface water and to estimate the plume area. Supervised maximum likelihood classification separated three to four classes of coastal water based on optical characteristics as a result of wind stress events. The satellite-observed plume area was correlated with the amount of river discharge from April to October. The plume distribution patterns were influenced by wind direction and magnitude, the occurrences of a near-shore eddy field and surface currents. Empirical orthogonal function (EOF) was used to express the spatial and temporal variability of the plume using anomalies of nLw(555) monthly averaged images. The first mode (44% of variance) showed the turbid plume distribution resulting from re-suspension by strong wind mixing along the coast during winter. This mode also showed the plume was distributed along-shelf direction in spring to early autumn. The second mode (17% of variance) showed spring pattern across-shelf direction. EOF analysis also explained the interannual variability of the plume signature, which might have been affected by the flow of the Oyashio Current and the occurrence of a near-shore eddy field. 相似文献
6.
Flux of nutrients and heavy metals from the Melai River sub-catchment into Lake Chini, Pekan, Pahang, Malaysia 总被引：1，自引：1，他引：0
Muhd Barzani Gasim Sahibin Abd. Rahim Mohd Ekhwan Toriman Wan Mohd Razi Idris Tukimat Lihan Zulfahmi Ali Rahman Azman Hashim Norhadilla Hadib 《Environmental Earth Sciences》2013,68(3):889-897
This study was carried out to determine the flux of nutrients and heavy metals from the Melai sub-catchment into Lake Chini through the process of erosion. Melai River is one of the seven feeder rivers that contributed to the present water level of Lake Chini. Three properties of soils, such as particle size, organic matter content, and soil hydraulic conductivity and three chemical soil properties, such as available nutrients, dissolved nutrients, and heavy metals, were analyzed and interpreted. Potential soil loss was estimated using the revised universal soil loss equation model. The results show that the soil textures in the study area consist of clay, silty clay, clay loam, and sandy silt loam. The organic matter content ranges from 3.40 to 9.92 %, while the hydraulic conductivity ranges from 5.2 to 25.3 cm/h. Mean values of available P, K, and Mg amount was 8.5 ± 3.7 μg/g, 24.5 ± 3.4 μg/g, and 20.7 ± 18.6 μg/g, respectively. The highest concentration of soluble nutrients was SO 4 ?2 (815.8 ± 624.1 μg/g), followed by NO3 ?-N (295.5 ± 372.7 μg/g), NH4 +-N (24.5 ± 22.1 μg/g) and PO4 3? (2.0 ± 0.8 μg/g). The rainfall erosivity value was 1658.7 MJ mm/ha/h/year. The soil erodibility and slope factor ranges from 0.06 to 0.26 ton h/MJ/mm and 7.63 to 18.33, respectively. The rate of soil loss from the Melai sub-catchment in the present condition is very low (0.0028 ton/ha/year) to low (18.93 ton/ha/year), and low level flow of nutrients and heavy metals, indicating that the Melai River was not the contaminant source of sediments, nutrients, and heavy metals to the lake. 相似文献
1