长江沿岸港口体系的形成过程与机制

长江沿岸港口体系是长江经济带的重要支撑。本文首先对自古以来长江沿岸港口体系的形成发展过程进行了科学实证,发现港口体系经历了“港口的起源与产生—港口体系萌芽—港口体系雏形—港口体系形成—港口体系升级”5个阶段。依据实证分析,对长江沿岸港口体系的形成机制进行了归纳演绎,认为相关港口对水水中转和陆水中转腹地的长期相互竞争是导致港口体系形成的主要机制,其中对水水中转腹地的竞争尤为关键,而港口对中转腹地的竞争随时间推移不断向更深层次更广领域推进。最后从政策层面,对长江沿岸港口体系和长江经济带综合运输体系建设的若干问题进行了讨伦。     

Simulation and projection of climate change using CMIP6 Muti-models in the Belt and Road Region

Climate condition over a region is mostly determined by the changes in precipitation, temperature and evaporation as the key climate variables. The countries belong to the Belt and Road region are subjected to face strong changes in future climate. In this paper, we used five global climate models from the latest Sixth Phase of Coupled Model Intercomparison Project (CMIP6) to evaluate future climate changes under seven combined scenarios of the Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP4-3.4, SSP4-6.0 and SSP5-8.5) across the Belt and Road region. This study focuses on undertaking a climate change assessment in terms of future changes in precipitation, air temperature and actual evaporation for the three distinct periods as near-term period (2021-2040), mid-term period (2041-2060) and long-term period (2081-2100). To discern spatial structure, K?ppen-Geiger Climate Classification method has been used in this study. In relative terms, the results indicate an evidence of increasing tendency in all the studied variables, where significant changes are anticipated mostly in the long-term period. In addition to, though it is projected to increase under all the SSP-RCP scenarios, greater increases will be happened under higher emission scenarios (SSP5-8.5 and SSP3-7.0). For temperature, robust increases in annual mean temperature is found to be 5.2 °C under SSP3-7.0, and highest 7.0 °C under SSP5-8.5 scenario relative to present day. The northern part especially Cold and Polar region will be even more warmer (+6.1 °C) in the long-term (2081-2100) period under SSP5-8.5. Similarly, at the end of the twenty-first century, annual mean precipitation is inclined to increase largely with a rate of 2.1% and 2.8% per decade under SSP3-7.0 and SSP5-8.5 respectively. Spatial distribution demonstrates that the largest precipitation increases are to be pronounced in the Polar and Arid regions. Precipitation is projected to increase with response to increasing warming most of the regions. Finally, the actual evaporation is projected to increase significantly with rate of 20.3% under SSP3-7.0 and greatest 27.0% for SSP5-8.5 by the end of the century. It is important to note that the changes in evaporation respond to global mean temperature rise consistently in terms of similar spatial pattern for all the scenarios where stronger increase found in the Cold and Polar regions. The increase in precipitation is overruled by enhanced evaporation over the region. However, this study reveals that the CMIP6 models can simulate temperature better than precipitation over the Belt and Road region. Findings of this study could be the reliable basis for initiating policies against further climate induced impacts in the regional scale.     

Influence of Ecological Technology Measures on the Annual Sediment Load of the Wuding River

The influence of ecological technology measures on the annual sediment loads of rivers complies with the principles of statistics. In this paper, the annual sediment load of the Wuding River is taken as the dependent variable and the rainfall, rainstorms during the flood period of the Wuding River and areas of ecological technology measures are taken as the independent variables to analyze the influence of ecological technology measures on the annual sediment load of the Wuding River during the years 1956 to 2007. This research uses a stepwise regression method. The result shows that 1) the non-linear regression equation composed of three independent variables including 7-8 monthly rainfalls along the Wuding River, areas of ecological technology measures and maximum daily rainfall along the Wuding River has been calculated and set up; the correlation coefficient is R²=0.857 and the significance level is α=0.001. 2) R²=0.717 is adjusted and the regression equation reveals a change of annual sediment load exceeding 71.7% over 52 years; 3) The standardized regression coefficient for ecological technology measure area has the maximum absolute value of the three independent variables shows maximum influence on the change of annual sediment load; and 4) Because of implementing the ecological technology measures, until to year of 2007, when the 7-8 monthly rainfall and maximum daily rainfall are the maximum values in the research section, the annual sediment load is calculated as 149million ton, which is 36% of the maximum value in the history.     

Crustal thickness estimation beneath the southern central Andes at 30°S and 36°S from S wave receiver function analysis

We have used the S wave receiver function (SRF) technique to investigate the crustal thickness beneath two seismic profiles from the CHARGE project in the southern central Andes. A previous study employing the P wave receiver function method has observed the Moho interface beneath much of the profiles. They found, however, that the amplitude of the P to S conversion was diminished in the western part of the profiles and have attributed it to a reduction of the impedance contrast at the Moho due to lower crustal ecologitization. With SRF, we have successfully detected S to P converted waves from the Moho as well as possible conversions from other lithospheric boundaries. The continental South American crust reaches its maximum thickness of ∼70 km (along 30°S between 70°W and 68.5°W) beneath the Principal Cordillera and the Famatina system and becomes thinner towards the Sierras Pampeanas with a thickness of ∼40 km. Negative phases, possibly related to the base of the continental and oceanic lithosphere, can be recognized in the summation traces at different depths. By comparing our results with data obtained from previous investigations, we are able to further constrain the thickness of the crust and lithosphere beneath the central Andes.     

基于灰色马尔科夫链预测系统的设计与实现

通过对灰色GM[1,1]模型的算法改进,将改进后的灰色模型与马尔科夫链结合,既可以发挥灰色系统预测精确的特点,又可以利用马尔科夫链对准确预测波动性数据的优势。在灰色马尔科夫链模型的算法基础上,采用Visual Studio 2005开发环境,进行灰色马尔科夫链预测系统的设计。最后利用南方某地区十年来土地利用数据进行系统验证,结果表明,灰色马尔科夫链模型能很大地提高预测的精度和效果,符合实际要求。     

黄土高原西部兰州市郊地貌驱动的土壤水分变化及对植物的影响分析

选择黄土高原造林的主要模式,即梯田、水平沟、鱼鳞坑和台地等,并按照阴阳坡向,栽植树种等的不同,采用中子水分仪每10 d测定土壤水分一次,对各种造林模式下土壤水分进行了长期的监测研究,研究结果表明：在春季植物萌发之前,无植物生长影响的情况下,土壤水分含量阴坡高于阳坡,南山与北山同坡向相比,南山的水分条件要好于北山;4月中旬以后,受植物生长消耗的影响,北山的水分含量大于南山,南山的水分波动则大于北山;鱼鳞坑、水平沟都具有一定的集水保水作用,但这种集水的作用与降水量的大小有关,水平沟由于面积较大,表面覆膜集水效果更好;阴坡梯田由外向内随着距离的增加,水分呈现逐渐增加的趋势,梯田内侧达到最大.     

基于TIC的多时相遥感影像相对辐射归化处理

采用不变点群法(temporally invariant cluster,TIC),由两时相影像的NDVI点密度图确定两个TIC中心并建立辐射归化处理方程,对影像的NDVI进行相对辐射归化处理。与其它辐射归化处理方法相比,该方法简单、有效且精度高,对轻微的植被物候变化敏感且影像不变特征点较少时也能进行辐射归化处理,可有效应用于土地利用/覆盖、植被物候及景观等变化监测。     

古尔班通古特沙漠腹地土壤水分动态

采用土钻法对古尔班通古特沙漠腹地典型自然沙垄剖面土壤含水量进行长期监测.采取多重比较(LSD)、典型相关分析(MANOVA)、并在国内第一次采用季节交乘趋势等统计方法,对土壤水分与环境因子的关系进行分析,研究结果表明:土壤含水量时间变化规律分为补给期、失水期和冻结滞水期.土壤含水量均值为补给期>冻结滞水期>失水期,变异系数为补给期>冻结滞水期>失水期;土壤含水量空间变化规律表现为:阴阳坡间具有极显著差异(P<0.01,F=0.002 9).垄间分别与坡中、垄顶具有显著性差异(P<0.05).垂直变化分为活跃层、过渡层和稳定层,活跃层与其他土层间均有显著性差异(P<0.05),土壤含水量均值为阴坡>阳坡,垄顶>垄间>坡中.活跃层>过渡层和稳定层;变异系数为阴坡>阳坡,垄间>坡中>垄顶,活跃层>过渡层>稳定层;降雨量和温度是影响研究区土壤水分时间分布变化的重要影响因子,同时也是土壤含水量变化的决定性影响因子,与土壤含水量具有显著相关性(P<0.05,F=0.02).     

A study on the early-warning technique concerning debris flow disasters

According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN)real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system′s performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention.     

Influence of fines content on the anti-frost properties of coarse-grained soil

This paper aims to determine the optimal fines content of coarse-grained soil required to simultaneously achieve weaker frost susceptibility and better bearing capacity. We studied the frost susceptibility and strength properties of coarse-grained soil by means of frost heaving tests and static triaxial tests, and the results are as follows:(1) the freezing temperature of coarse-grained soil decreased gradually and then leveled off with incremental increases in the percent content of fines; (2) the fines content proved to be an important factor influencing the frost heave susceptibility and strength properties of coarse-grained soil. With incremental increases in the percent content of fines, the frost heave ratio increased gradually and the cohesion function of fines effectively enhanced the shear strength of coarse-grained soil before freeze-thaw, but the frost susceptibility of fines weakened the shear strength of coarse-grained soil after freeze-thaw; (3) with increasing numbers of freeze-thaw cycles,the shear strength of coarse-grained soil decreased and then stabilized after the ninth freeze-thaw cycle, and therefore the mechanical indexes of the ninth freeze-thaw cycle are recommended for the engineering design values; and (4) considering frost susceptibility and strength properties as a whole, the optimal fines content of 5% is recommended for railway subgrade coarse-grained soil fillings in frozen regions.