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81.
以2014年广州市中产阶层聚居区24个街道、50个社区进行的问卷调查和深度访谈资料为数据源,从住房需求意愿与区位选择方面分析了广州中产阶层住房选择,并运用多元Logistic回归分析法对其影响因素进行研究。研究发现:1)广州市中产阶层住房区位选择表现出明显的“向中心城区”性;2)现居住现状(人均住房面积、现小区区位、现小区建成年代、现居住时间)、家庭生命周期(年龄、家庭规模、子女数量)和经济水平(家庭年总收入、个人年总收入、私家车拥有量)等因素对中产阶层住房需求意愿具有显著影响;3)家庭生命周期(年龄、家庭规模)、个体因素(教育程度、户籍地)等要素对中产阶层住房区位选择具有显著影响。4)制度因素、区位因素和个体因素共同影响着广州市中产阶层住房区位选择。 相似文献
82.
This paper aims to compare the geochemical characteristics of loess-paleosol sequences in the upper reaches of the Hanjiang and Weihe river valleyswhich are located in the semi-humid temperate zone and humid subtropical zonerespectively. The Mituosi(MTS) profile in the upper reaches of the Hanjiang River valley and the Yaohecun(YHC) profile in the Weihe River valley were selected for this comparative research. The stratigraphic characteristicscompositionchemical weathering intensityleaching rates of Ca and Namobility of major elementsand transport features of Na and Fe were analyzed with respect to depth and compared between the two profiles. This study reached the following conclusions.(1) The composition of the loess-paleosol sequences in two regions are quite similar to the average composition of the upper continental crust(UCC)indicating that the loess in the two regions came from multiple sources and was mixed well. Thereforethe loess in the two regions is considered aeolian loess.(2) Compared with the loess-paleosol sequence in the Weihe River valleythe loess-paleosol sequence in the upper reaches of the Hanjiang River valley features a darker color; a higher chemical index of alteration(CIA) value; higher leaching rates of Na and Ca; higher migration ratio(relative to K) of AlSiMgand Na; and lower migration ratio of Fe and Ca. This evidence indicates that the loess-paleosol sequence in the humid subtropical environment experienced stronger chemical weathering intensity than the loess-paleosol sequence in the semi-humid temperate zone.(3) Both the YHC profile and MTS profile record a period of climate deterioration at 6000–5000 a BP. The period punctuated the mid-Holocene Climatic Optimum(8500–3100 a BP) in the study area. 相似文献
83.
利用ISSR分析获得的数据,研究了依据Nei & Li、SM和Jaccard遗传距离,采用UPGMA聚类法进行逐步聚类筛选核心种质的效果,并最终采用SM遗传距离逐步聚类从175份兰州百合种质中筛选出了37份核心种质。保留了初始种质21.14%的样品,多态性位点数、多态性位点百分率、Nei's遗传多样性指数和Shannon's信息指数的保留率分别为96.08%、96.59%、105.27%、103.62%,t检验表明核心种质的Nei's遗传多样性指数和Shannon's信息指数与原种质没有显著差异,表明构建的核心种质能很好的代表原始种质的遗传多样性。 相似文献
84.
利用太阳能供电系统解决天津市部分台站无法接入交流供电的问题,对部分台供电系统进行改造,采用复合式供电模式,避免农忙或雷雨季节停电问题,以提升台网整体数据传输连续率。 相似文献
85.
Integrated method of RS and GPR for monitoring the changes in the soil moisture and groundwater environment due to underground coal mining 总被引:3,自引:0,他引:3
Zhengfu Bian Shaogang Lei Hilary I. Inyang Luqun Chang Richen Zhang Chengjun Zhou Xiao He 《Environmental Geology》2009,57(1):131-142
Mining affects the environment in different ways depending on the physical context in which the mining occurs. In mining areas
with an arid environment, mining affects plants’ growth by changing the amount of available water. This paper discusses the
effects of mining on two important determinants of plant growth—soil moisture and groundwater table (GWT)—which were investigated
using an integrated approach involving a field sampling investigation with remote sensing (RS) and ground-penetrating radar
(GPR). To calculate and map the distribution of soil moisture for a target area, we initially analyzed four models for regression
analysis between soil moisture and apparent thermal inertia and finally selected a linear model for modeling the soil moisture
at a depth 10 cm; the relative error of the modeled soil moisture was about 6.3% and correlation coefficient 0.7794. A comparison
of mined and unmined areas based on the results of limited field sampling tests or RS monitoring of Landsat 5-thermatic mapping
(TM) data indicated that soil moisture did not undergo remarkable changes following mining. This result indicates that mining
does not have an effect on soil moisture in the Shendong coal mining area. The coverage of vegetation in 2005 was compared
with that in 1995 by means of the normalized difference vegetation index (NDVI) deduced from TM data, and the results showed
that the coverage of vegetation in Shendong coal mining area has improved greatly since 1995 because of policy input RMB¥0.4
per ton coal production by Shendong Coal Mining Company. The factor most affected by coal mining was GWT, which dropped from
a depth of 35.41 m before mining to a depth of 43.38 m after mining at the Bulianta Coal Mine based on water well measurements.
Ground-penetrating radar at frequencies of 25 and 50 MHz revealed that the deepest GWT was at about 43.4 m. There was a weak
water linkage between the unsaturated zone and groundwater, and the decline of water table primarily resulted from the well
pumping for mining safety rather than the movement of cracking strata. This result is in agreement with the measurements of
the water wells. The roots of nine typical plants in the study area were investigated. Populus was found to have the deepest
root system with a depth of about 26 m. Based on an assessment of plant growth demands and the effect of mining on environmental
factors, we concluded that mining will have less of an effect on plant growth at those sites where the primary GWT depth before
mining was deep enough to be unavailable to plants. If the primary GWT was available for plant growth before mining, especially
to those plants with deeper roots, mining will have a significant effect on the growth of plants and the mechanism of this
effect will include the loss of water to roots and damage to the root system. 相似文献
86.
The goal of all time laboratories’ pursue is to produce and keep a stable, precise and reliable time scale. The long-term stability of the time scale is mainly taken into account in the traditional ALGOS algorithm, while the local atomic time scale should give consideration to both the long-term and shortterm stabilities. From the analysis and research on the atomic clock noise model and under the condition that the long-term stability of the local atomic time scale does not drop, a complete algorithm is proposed which is suitable for the calculation of the local time scale TA (NTSC) carried out at the time laboratory with the time-keeping clocks of a unitary type and being close in performance at the National Time Service Center, called the NTSC for short, of Chinese Academy of Sciences. The data of all the clocks in the NTSC which participated in the calculation of the International Atomic Time (TAI) all the year round in 2008 are applied to the test and verification of the new algorithm, with the result showing that both the short- and long-term stability indexes of the obtained TA (NTSC) are improved. The research result is suitable for the calculation of the atomic time scale of the time laboratory whose time keeping system is similar to that of the NTSC. 相似文献
87.
吉林西部地区高砷地下水砷的阈值分析及风险评价 总被引:1,自引:0,他引:1
高砷地下水导致的砷中毒是吉林西部地区近年来新发现的地方病。为评价饮用水中砷对人体健康产生的潜在危害,在野外调查、采样分析的基础上,开展了水砷安全阈值分析 ,确定了砷的总质量浓度0.05 mg/L为研究区的水砷安全阈值,建立了地下水健康风险评价模型,进行了地下水砷健康风险评价。结果表明:研究区地下水砷引起的个人年均风险度最高达2.11×10-3 a-1,其中高砷的第四系承压水中97.06%的采样点水砷对人体的个人年均致癌风险度,大于国际辐射防护委员会(ICRP)推荐的最大可接受值5.0×10-5 a-1;作为备用水源的第三系大安组、泰康组承压水69.57%采样点砷的致癌风险度也超过最大可接受风险水平。通过对风险度评价结果与砷中毒病情等资料的对比分析,风险评价结果与砷中毒病情基本一致,验证了评价结果的合理性。 相似文献
88.
89.
????????????????????????????????????????????GNSS??λ????????????????????????????????????????????????????λ?????????????????????????????????????????γ??????????????????????λ????????????????????????????????t??????????????????????? 相似文献
90.
准确而可靠地预测地下水埋深对生态环境保护和水资源规划管理具有重要意义。针对吉林西部浅层地下水位动态变化的复杂性和非线性,提出了基于小波分析与人工神经网络相结合的预测方法小波神经网络(WA-ANN)模型。将研究区2002年1月2009年12月当月降水量、蒸发量、人工开采量和前月平均地下水埋深4个参数作为输入,当月平均地下水埋深作为输出,建立浅层地下水埋深预测模型,并与BP神经网络(BP-ANN)模型和自回归移动平均(ARIMA)模型进行比较,对比分析了三者的建模过程及其模拟精度。结果显示:相比两种ANN模型,ARIMA模型建模过程更为简单,计算效率更高;但WA-ANN模型的拟合精度高于BP-ANN和ARIMA模型,预测效果更好。总体来看,WA-ANN模型在浅层地下水埋深预测中具有一定的应用推广价值。 相似文献