民宿集聚区选址评价指标体系及应用（英文）

民宿集聚区的选址与资源环境和人文社会环境具有紧密联系。本研究运用层次分析法和专家咨询法,构建了包括经济环境因素、旅游业发展因素、地理环境因素、配套设施和经营条件5个要素评价层、20个评价指标、35个评价因子构成的民宿集聚区选址评价指标体系,并以杭州白乐桥和北京延庆千家店镇民宿集聚区为例,对选址评价指标进行验证和应用。分析结果表明,影响民宿集聚区选址的主要因素是经济环境因素(0.4396)、旅游业发展情况(0.3039)和地理环境因素(0.1405),配套设施情况(0.0545)、经营条件(0.0615)的影响较小。选择的白乐桥和千家店民宿集聚区两个案例区综合评价得分分别为92.644和88.734,均属于比较合理的民宿选址。本文研究有利于促进对民宿集聚区选址的认识,为民宿集聚区选址开发和建设提供可借鉴的思路。     

2015年台风“彩虹”过境后下山冷急流引起的南海北部海域异常海面降温

This study deals with a unusual cooling event after Typhoon Mujigea passed over the northern South China Sea(SCS) in October 2015. We analyze the satellite sea surface temperature(SST) time series from October 3 to 18,2015 and find that the cooling process in the coastal ocean had two different stages. The first stage occurred immediately after typhoon passage on October 3, and reached a maximum SST drop of –2℃ on October 7 as the usual cold wake after typhoon. The second stage or the unusual extended cooling event occurred after 7d of the typhoon passage, and lasted for 5d from October 10 to 15. The maximum SST cooling was –4℃ and occurred after 12d of typhoon passage. The mechanism analysis results indicate that after landing and moving northwestward to the Yunnan-Guizhou Plateau(YGP), Typhoon Mujigea(2015) met the westerly wind front on October 5. The lowpressure and positive-vorticity disturbances to the front triggered meridional air flow and low-pressure trough,thus induced a katabatic cold jet downward from the Qinghai-Tibet Plateau(QTP) passing through the YGP to the northwestern SCS. The second cooling reached the maximum SST drop 4d later after the maximum air temperature drop of –9℃ on October 11. The simultaneous air temperature and SST observations at three coastal stations reveal that it is this katabatic cold jet intrusion to lead the unusual SST cooling event.     

Distribution of the nonlinear random ocean wave period

Because of the intrinsic difficulty in determining distributions for wave periods, previous studies on wave period distribution models have not taken nonlinearity into account and have not performed well in terms of describing and statistically analyzing the probability density distribution of ocean waves. In this study, a statistical model of random waves is developed using Stokes wave theory of water wave dynamics. In addition, a new nonlinear probability distribution function for the wave period is presented with the parameters of spectral density width and nonlinear wave steepness, which is more reasonable as a physical mechanism. The magnitude of wave steepness determines the intensity of the nonlinear effect, while the spectral width only changes the energy distribution. The wave steepness is found to be an important parameter in terms of not only dynamics but also statistics. The value of wave steepness reflects the degree that the wave period distribution skews from the Cauchy distribution, and it also describes the variation in the distribution function, which resembles that of the wave surface elevation distribution and wave height distribution. We found that the distribution curves skew leftward and upward as the wave steepness increases. The wave period observations for the SZFII-1 buoy, made off the coast of Weihai (37°27.6′ N, 122°15.1′ E), China, are used to verify the new distribution. The coefficient of the correlation between the new distribution and the buoy data at different spectral widths (ν=0.3−0.5) is within the range of 0.968 6 to 0.991 7. In addition, the Longuet-Higgins (1975) and Sun (1988) distributions and the new distribution presented in this work are compared. The validations and comparisons indicate that the new nonlinear probability density distribution fits the buoy measurements better than the Longuet-Higgins and Sun distributions do. We believe that adoption of the new wave period distribution would improve traditional statistical wave theory.     

我与齐齐哈尔市的半生缘

五一节前夕,春光明媚。为了迎接一年一度的“6·25”国土日,我去齐齐哈尔市国土资源局和部分县局采访耕地保护工作。     

Methodology for the diagnostics of soil polygenesis on the basis of macro- and micromorphological studies

A methodology for studying soil polygenesis and lithological homogeneity of soil profiles is suggested. This methodology is particularly important for mountain soils, where the lithological heterogeneity of the soil profiles created by denudation and accumulation processes is often observed. The methodology includes several stages： （a） the study of the lithological homogeneity/ heterogeneity of soil profiles by field and laboratory methods, （b） the stage-by-stage macro-, meso-, micro-, and submicromorphological analyses of soil profiles with additional use of the methods of neighboring sciences, and （e） the subdivision of soil features into the groups of recent and inherited （relict） features. In the latter group, the subgroups of lithorelict features inherited from the parent material and pedorelict features inherited from the previous stages of soil formation can be distinguished. Two major models of soil polygenesis are suggested. Simple models describe the soils, in which new features appear due to the changes in the environmental conditions in the course of soil evolution. Complex models describe the soils, in which such changes are combined with deposition of new portions of sediments onto the soil surface with the development of buried soil horizons （the synlithogenie pedogenesis）. The models of continuous and discontinuous synlithogenic pedogenesis can be further distinguished. It is argued that the micromorphological method applied to the studies on soil mierofabrics, microforms of soil humus, soil porosity, coatings, and various pedo- and lithorelict features yields valuable information on polygenetic soils.     

附有限制条件的间接平差秩亏时解法初探

在附有限制条件的间接平差的应用中,若所列观测方程中实际用到的未知参数的个数少于所选参数的总数u时,就会出现法方程系数阵秩亏的问题。为了解决此问题,在理论公式推导的基础上,给出了一种新的解决方法,并结合算例进行了验证。     

误差椭圆在精密工程测量中的应用研究

进行精密工程测量时,要根据工程的要求和现场的具体条件,通过精度分析拟定切实可行的观测方案,采用合适的测量方法来获得最可靠的成果。据此探讨了误差椭圆在精密工程测量中的应用。     

一种面向GML的多维压缩算法研究

本文通过对GML文档的深入分析,借鉴传统的XML和空间数据的压缩算法,提出了一种面向GML结构数据、空间数据和属性数据的一体化多维压缩算法。对结构维数据,采用改进的LZW压缩机制;对特征维数据,采用实体间与实体内的双重压缩,并考虑到空间特征数据的特点,采用分割压缩的算法。实验证明,此算法不仅压缩率高,而且简单实用。     

北冰洋hinlopen—yermak滑坡以及发生海啸可能性的数值模拟

从有冰川供给的斯瓦尔巴特群岛北部陆缘采集到的多波束资料揭示出一个大型海底滑坡-Hinlopen—Yemaak滑坡的详细地形特征。有许多个几百米高的平坦断崖,其中位于横穿陆架的Hirdopen深海槽口的最大的滑坡后壁的高度超过了1400m。除了有明显的压缩外,地震剖面上还见有半透声体,表明块体运移沉积物可能是重塑或液化的碎屑流堆积物,这些堆积物在一些地方有几百米厚。在大范围的块体运移沉积物的外缘,许多漂浮的块体从半透明的沉积单元中突起,     

自适应空间邻域分析和瑞利-高斯分布的多时相遥感影像变化检测

提出了一种基于自适应空间邻域分析和瑞利-高斯模型(Rayleigh-Gauss models, RGM)分布的多时相遥感影像自动变化检测方法。该方法把自适应空间邻域信息和改进的差值影像与比值影像乘积变换融合 法(improved multiplying transform fusion, IMTF)结合构造差异影像, 可以有效地抑制噪声和消除多时相影像之间配准误差的影响, 具有更强的鲁棒性。在对差异影像的分割处理中, 运用瑞利和高斯模型分别模拟变化类像元和非变化类像元的分布情况, 然后估计出两类像元的概率