Impacts of land use change on landscape patterns in mountain human settlement: The case study of Hantai District(Shaanxi,China)

Mountain area is an important geographical unit of land,and its ecology is sensitive and fragile.Over the past few decades,human activities have caused dramatic changes in land use in mountainous areas,which caused changes in landscape patterns and impacts on the ecological environment.It is unknown how the mechanism of land use affects the landscape pattern at different scales.The Hantai District,a typical human settlement in the mountain area in Shaanxi,China,was chosen as the study area.Based on the remote sensing images,the mathematical models and landscape indexes were adopted to evaluate the impact of land use change from 1998 to 2017 on the landscape pattern at different scales,and its main driving forces were analyzed.The results showed that the urbanized land expanded largest from 15.39%to 24.30%,and cultivated land experienced the largest decline from 43.54%to 35.35%.Changes in land use have made the patch morphology of most land types developed from a natural random to a sawtooth shape,and its spatial pattern evolved from a ruleset to a fragmented expansion.This reflects the continuous strengthening of human intervention in the process of regional development.Under the jurisdiction of Hantai District,the biggest change in landscape pattern is in Hanzhong City and Qili Town.The improved economy and increasing population and urbanization rate were the main factors that cause these changes.This research could provide necessary information for understanding the evolution mechanism of land resources in mountainous human settlements for mountainous areas with significant geomorphic differentiation.     

房地产宏观政策期待加大执行力

4月27日,中国社会科学院城市发展与环境研究中心和社会科学文献出版社联合主办的2007年中国房地产高峰论坛暨《 房地产蓝皮书》2007年版出版发布会在北京举行.来自中国社会科学院、国土资源部、建设部、国家统计局、中国房地产协会等部门的专家、学者和官员出席了会议.     

边城廿八都

浙西南的江山市廿八都镇,地处浙闽赣三省交界。四面群山拱卫,仙霞古道穿镇而过,自古有“东南锁钥,入闽咽喉”之称。小镇类似文学家沈从文笔下的边城,当时“也有商人落脚的客店,坐镇不动的理发馆。此外,饭店、杂货铺、油行、盐栈、花衣庄,莫不各有一种地位,装点这条小河街。”而唐宋古道驿站遗址和明清古桥民居至今尚存。     

"一户一宅"的思考

《土地管理法》第六十二条规定,农村村民一户只能拥有一处宅基地。这对于节约集约用地,强化农村宅基地管理具有十分重要的指导意义。长期以来,农村旧的宅基地管理模式造成农村村民住房严重超标,一户多宅以及空心村的现象普遍存在,农村宅基地极度浪费。“一户一宅”制从当前全国农村的实际出发,对农村宅基地使用作出了科学合理的界定。但是,在执行“一户一宅”过程中,也出现一些新情况新问题,在市场经济条件下,这些新情况新问题必须在立法和实践中加以解决,并不断完善现有的制度,以达到科学合理地利用农村土地。     

Influence of the roots of mixed-planting species on the shear strength of saline loess soil

In order to improve our knowledge of the mechanical effect of the roots of mixed-plantings on soil reinforcement and slope protection,the influence of roots of a mixed-planting with four herb species(Medicago sativa L.,Elymus nutans Griseb.,Puccinellia distanx(L.),and Poa pratensis L.)and one shrub species(Caragana korshinskii Kom.)were investigated on the shear strength characteristics of saline loess soil.The root distribution characteristics were assessed via a survey when the plants grew for one year.The effects of the root biomass density,the root mass ratio(RMR)of the fine roots to the coarse roots,the moisture content,and the salt content on the shear strength index of the rooted soil were analyzed via a triaxial compression test,and the mechanism of these effects was discussed.The results indicate that the biomass density decreased linearly with increasing depth.The RMR initially decreased with depth and then increased,exhibiting in a quadratic relationship.The cohesion of the rooted soil increased linearly as the biomass density increased.The cohesion of the rooted soil initially increased with increasing RMR and salt content,and then it decreased.The turning point of the cohesion occurred when the RMR was 0.6 and the salt content was 1.18%.The internal friction angle of the rooted soil initially increased with biomass density and then decreased,and the turning point of the internal friction angle occurred when the biomass density was 0.015 g/cm3.The relationships between the internal friction angle of the rooted soil and the RMR and salt content were exponential incremental and linear subtractive relationship,respectively.Both the cohesion and the internal friction angle of the rooted soil linearly decreased with increasing moisture content.     

Combined Bearing Capacity of Spudcans on a Double Layer Deposit of Strong-Over-Weak Clays

An extreme sea storm process can lead to a jack-up rig under the combined loading condition of vertical load(V), horizontal load(H), and moment(M) to have stability problems. This paper presents the analysis of combined bearing capacities of a circular spudcan on layered clays with a strong layer overlying a comparatively weaker layer. Numerical models combined with displacement-based load tests, swipe tests, and constant ratio displacement probe tests are adopted to calculate the uniaxial bearing capacities, failure envelopes in combined V-H, V-M planes, and failure envelopes in a combined V-H-M load space, respectively. A parametric study on the effects of vertical load level V, the layer strength ratio s_u,t/s_u,b, and the hard layer thickness t_1 on the bearing capacities is then performed. Results show that the vertical load level is a key factor that influences the values of H and M and the size of the H-M failure envelope. The existence of the underlying weak clay decreases the bearing capacities in all directions, and the vertical capacity Vult is affected more than the horizontal(H_ult) and moment(M_ult) capacities based on a single uniform deposit. The influence of the underlying weak clay on H-M failure envelope is mainly shown where H and M are coupled in the same direction. In contrast, little difference is observed when H and M are coupled in opposite directions.     

Characteristics and dynamics of the Ganqiuchi rock avalanche triggered by a paleo-earthquake in the Northern Qinling Mountains

Analyzing large prehistoric rock avalanches provides significant data for evaluating the disaster posed by these relatively infrequent but destructive geological events. This paper attempts to study the characteristics and dynamics of the Ganqiuchi granitic rock avalanche, in the middle of the northern margin of Qinling Mountains, 30 km to the south of Xi’an, Shaanxi Province, China. In plane view, this rock avalanche is characterized by source area, accumulation area and dammed lake area. Based on previous studies, historical records and regional geological data, the major trigger of the Ganqiuchi rock avalanche is considered to be a strong paleo-earthquake with tremendous energy. The in situ deposit block size distributions of the intact rock mass and the debris deposits are presented and analyzed by using a simple model for estimating the number of fragmentation cycles that the blocks underwent. The results show that the primary controlling factor of the fragmentation process is the pre-existing fractures, and there is a relationship between the potential energy and the fragmentation energy: the latter is approximately 20% of the former. Based on the dynamic discrete element technique, the study proposes a four-stage model for the dynamic course of the Ganqiuchi rock avalanche:(1) failing;(2) highspeed sliding;(3) collision with obstacles;(4) decelerated sliding, which has implication for hazard assessment of the potential rock avalanches in China and other countries with similar geological setting.     

Oxidation Modification of Polyacrylonitrile-Based Carbon Fiber and Its Electro-Chemical Performance as Marine Electrode for Electric Field Test

A novel sensor for ocean electric field testing has been fabricated by polyacrylonitrile-based on carbon fibers with electro-chemical oxidation.The surface profile characteristics of the carbon fibers were characterized by scanning electron microscope,Fourier transform infrared spectra and contact angle.Cyclic voltammetry and Tafel curves have been used to study its electro-chemical performances.Two identical electrodes in sea water as the electric field sensor will swiftly respond to applied electric field which causes positive and negative ions to move in opposite direction,resulting in a electric potential difference(ΔE).Test result indicates that the offset potential is typically below 1 m V with a drift of 60-170μVd^-1.Typical self noise level is 1.07 nV√Hz^1/2@1 Hz.The electric field response indicates that the modified electrode pair shows better response to AC sine signal of amplitude and frequency(5 mV and 1 mHz)respectively than its blank.The electric field response model of the modified electrodes is creatively presented according to its electric double layer capacitance and Faraday pseudo-capacitance.Many advantages of the carbon fiber electric field electrode will make it have potential application prospect.     

Effect of Carbonation and Drying-Wetting Cycles on Chloride Diffusion Behavior of Coral Aggregate Seawater Concrete

Based on seawater immersion,drying-wetting cycles,carbonation and drying-wetting cycles for coral aggregate sea-water concrete(CASC)with different strength grades,the effect of carbonation and drying-wetting cycles on chloride diffusion be-havior of CASC is studied.The results show that the free surface chloride concentration(Cs),free chloride diffusion coefficient(Df)and time-dependent index(m)of CASC in the drying-wetting cycles is obviously higher than that in seawater immersion.The Df and m of CASC of carbonation and drying-wetting cycles is higher than that in the drying-wetting cycles.Carbonation increases the Df and m of CASC,which is against CASC to resist chloride corrosion.The corrosion possibility of CASC structures in different ex-posed areas is as follows:splash zone(carbonation and drying-wetting cycles)>tidal zone(drying-wetting cycles)>underwater zone(seawater immersion).Besides,the chloride diffusion rate of C65-CASC is 17.8%-63.4%higher than that of C65-ordinary aggre-gate concrete(OAC)in seawater immersion(underwater zone).Therefore,anti-corrosion measures should be adopted to improve the service life of CASC structure in the oceanic environment.     

湘西自治州贯彻执行《土地管理法》调查报告

为推进湘西自治州贯彻执行《中华人民共和国土地管理法》(以下简称《土地管理法》)工作的健康发展,州政协委员视察组一行13人,对《土地管理法》颁布实施以来全州8     

Landsat/OLI与夜间灯光数据在提取城市不透水面中的精度差异分析

不透水面作为反映城市发展程度和表征城市生态环境的重要指标,在城市化研究中成为重要的数据源。当前,不透水面信息的获取通常基于遥感数据来开展,包括不同分辨率的遥感数据。这些遥感数据在高精度提取城市不透水面的能力具有较大的差异,会因尺度不同而带来提取精度的偏差。因此,理解不同遥感数据源在不透水面提取上的差异尤为重要。本文利用Landsat/OLI光谱数据和VIIRS/DNB夜间灯光数据分别采用线性光谱混合分析法和大尺度不透水面指数法提取珠江三角洲研究区的不透水面信息,并从不透水面总体精度、不同密度精度对比分析2类数据源提取不透水面的差异。结果表明：① Landsat/OLI和VIIRS/DNB两者提取不透水面的总体精度差异不大,Landsat/OLI提取不透水面的精度总体上略高于VIIRS/DNB。2种数据提取不透水面的均方根误差RMSE分别是0.18和0.21,系统误差SE分别是0.12和0.13,决定系数R ²分别是0.76和0.67。② Landsat/OLI和VIIRS/DNB数据对不同密度不透水面分布区域的提取能力不同：VIIRS/DNB在低密度不透水面区域提取精度高于Landsat/OLI;而Landsat/OLI在中、高密度不透水面区域提取精度均高于VIIRS/DNB。通过2种数据提取精度差异的对比,以期为不同密度的不透水面分布区域提取找到最佳尺度的数据源,提高不透水面提取的效率和精度。     

基于地表通量特征的城市不透水表面定量热红外遥感反演

城市不透水地表格局通过改变城市下垫面结构,引起地表反照率、比辐射率、地表粗糙度的变化,从而对地表辐射和能量平衡产生直接影响。不透水地表能增强地表显热通量,导致地表波文比升高,因此地表波文比的空间差异可推算城市人工不透水表面的分布。本研究选择北京市为实验区,应用Landsat TM卫星热红外遥感数据,采用PCACA模型及理论定位算法,对城市地表波文比进行反演,进而计算遥感地表波文比空间分布数据与城市不透水表面比例数据之间的相关关系,构建回归方程,实现北京市城区与近郊区人工不透水表面百分比分布的定量估算,最后以高分辨率遥感数据获取的城市人工不透水表面比例数据进行结果验证。结果表明,采用PCACA模型定量反演城市地表波文比数据,利用地表波文比数据与不透水表面比例数据之间的相关关系可实现城市人工不透水表面百分比数据的定量估算;波文比值不仅可在遥感像元水平定性判定不透水像元,还可对混合像元中的不透水比例进行较高精度的定量反演,其相关系数R²值为0.731。此方法有效地揭示了城市不透水下垫面对地表热通量影响的机制以及空间定量关系。     

基于Cubist模型树的城市不透水面百分比遥感估算模型

不透水面是城市区域中一种典型的土地覆盖类型,是衡量城市环境质量和城市化水平的重要标志之一。与传统基于像元级的遥感研究方法相比,不透水面百分比（Impervious Surface Percent,ISP）的估算可以进入像元内部,获得更准确的城市信息。本文应用Cubist模型树,对Landsat TM的原始波段变量（除热红外波段）,建立ISP估算的基础模型（Base Cubist-ISP）。通过基于模型树的集成学习优化算法和加入相邻时相影像的波段变量中值,以削弱噪声的影响。然后,优选热红外波段和各种衍生变量,并进行属性精简,继而应用集成学习算法得到的参数和精简后的变量建立ISP估算的优化模型（Optimal Cubist-ISP）。对广东省广州市海珠区的实验结果表明,Optimal Cubist-ISP模型估算不透水面的整体均方根误差（RMSE）为12.98%,决定系数（R²）为0.90,精度明显优于Base Cubist-ISP模型,RMSE降低约5.03%,ISP在透水面区域被高估和高密度不透水面区域被低估的现象得到改善。本文提出的基于Cubist模型树建立ISP遥感估算的模型及优化方法可以适用于城市区ISP的提取。     

一种考虑雪粒径变化的积雪面积反演算法

光谱混合分析能够提取亚像元信息,被广泛地应用于遥感影像目标探测之中。本文针对MODIS积雪遥感影像,基于光谱混合分析框架,利用渐进辐射传输模型建立不同粒径大小的雪反射率光谱库,提出了一种考虑端元变化及二次辐射的雪盖面积反演算法。此算法首先利用渐进辐射传输模型建立不同粒径大小积雪的反射率光谱库,然后使用序贯最大角凸锥方法获取植被、土壤与岩石、阴影的光谱库。在建立各种地物反射率光谱库之后,利用均方根误差最小的方法获取最优端元组合。在此基础上,考虑端元独立辐射以及积雪与其它地物的二次辐射过程,利用稀疏光谱混合模型获取积雪面积与雪粒径大小。实验结果表明：此方法能够同时反演雪粒径与积雪面积,反演的雪粒径相比单波段的渐进辐射传输模型小,反演的积雪面积相比MOD10A1产品精度略微提高。     

基于随机森林算法的近地表气温遥感反演研究

近地表气温是城市热环境的重要表征,是改变和影响城区气候的重要因素。为获得空间上连续的近地表气温,本文以北京市为研究区,利用Landsat5/TM数据计算分别得到地表温度、归一化植被指数、改进的归一化差异水体指数、地表反照率、不透水面盖度,并结合气象站点气温和高程作为输入参数建立随机森林模型反演近地表气温。结果表明,随机森林反演的近地表气温平均绝对误差（MAE）为0.80 ℃,均方根误差（RMSE）为1.06 ℃,与传统多元线性气温回归方法相比,平均绝对误差（MAE）和均方根误差（RMSE）分别提高0.06 ℃和0.09 ℃。研究表明,利用随机森林模型反演近地表气温是可行的,并且具有一定的优越性。此外,对随机森林模型的输入参数进行重要性分析,地表温度对气温反演模型的影响最大,其次为高程。     

城市暴雨内涝模拟模型优化与精度验证

本文采用“Vegetation-Impervious Surface-Soil”模型和线性光谱混合分解方法,获取像元中不透水面、植被、土壤覆盖信息,用于计算SCS模型产流参数综合CN（Curve Number）值;基于土地利用类型,采用经验值与数值实验逐步求精相结合的方法,确定水动力汇流模型参数曼宁系数,并用实测积水数据验证两次参数修正的模拟效果。以上海中心城区为例进行验证,研究结果表明：①将采用V-I-S模型得到的不透水面、植被、土壤信息设定CN值,能够降低积水分布的极值化现象,提高SCS产流模型产流量和产流分布精度;②采用经验法和数值模拟逐步求精法,按土地利用类型设定曼宁系数,使各时段最大积水深度高于原模型,说明曼宁系数是汇流模型的敏感参数。     

Integrating CART algorithm and multi-source remote sensing data to estimate sub-pixel impervious surface coverage: a case study from Beijing Municipality,China

The sub-pixel impervious surface percentage(SPIS) is the fraction of impervious surface area in one pixel,and it is an important indicator of urbanization.Using remote sensing data,the spatial distribution of SPIS values over large areas can be extracted,and these data are significant for studies of urban climate,environment and hydrology.To develop a stabilized,multi-temporal SPIS estimation method suitable for typical temperate semi-arid climate zones with distinct seasons,an optimal model for estimating SPIS values within Beijing Municipality was built that is based on the classification and regression tree(CART) algorithm.First,models with different input variables for SPIS estimation were built by integrating multi-source remote sensing data with other auxiliary data.The optimal model was selected through the analysis and comparison of the assessed accuracy of these models.Subsequently,multi-temporal SPIS mapping was carried out based on the optimal model.The results are as follows:1) multi-seasonal images and nighttime light(NTL) data are the optimal input variables for SPIS estimation within Beijing Municipality,where the intra-annual variability in vegetation is distinct.The different spectral characteristics in the cultivated land caused by the different farming characteristics and vegetation phenology can be detected by the multi-seasonal images effectively.NLT data can effectively reduce the misestimation caused by the spectral similarity between bare land and impervious surfaces.After testing,the SPIS modeling correlation coefficient(r) is approximately 0.86,the average error(AE) is approximately 12.8%,and the relative error(RE) is approximately 0.39.2) The SPIS results have been divided into areas with high-density impervious cover(70%–100%),medium-density impervious cover(40%–70%),low-density impervious cover(10%–40%) and natural cover(0%–10%).The SPIS model performed better in estimating values for high-density urban areas than other categories.3) Multi-temporal SPIS mapping(1991–2016) was conducted based on the optimized SPIS results for 2005.After testing,AE ranges from 12.7% to 15.2%,RE ranges from 0.39 to 0.46,and r ranges from 0.81 to 0.86.It is demonstrated that the proposed approach for estimating sub-pixel level impervious surface by integrating the CART algorithm and multi-source remote sensing data is feasible and suitable for multi-temporal SPIS mapping of areas with distinct intra-annual variability in vegetation.     

植被与不透水面的降温和增温效率分析方法

基于遥感的城市热环境研究通常通过分析植被、不透水面和地表温度（Land Surface Temperature, LST ）的关系来进行。虽然植被的降温作用和不透水面的增温作用已受到普遍认可,但缺少针对降温和增温效率的定量研究,本研究采用地表降温率（Land Surface Cooling Rate, LSCR）和地表增温率（Land Surface Warming Rate, LSWR）量化植被降温效率和不透水面增温效率并对2017年江苏省南京市城市热环境进行分析。以Landsat 8 OLI 4期遥感影像为数据源,利用线性光谱混合分析法（Linear Spectral Mixture Analysis,LSMA）获取亚像元植被覆盖度（Fractional Vegetation Coverage, FVC）、不透水面覆盖度（Impervious Surface Percentage, ISP）并利用高分Google影像进行精度验证。结合地表温度（Land Surface Temperature, LST）反演结果计算各季总体LSCR和LSWR,分析不同LST对总体LSCR和LSWR的影响。最后,将FVC和ISP分别按照阈值平均划分为4个区间,计算各区间的LSCR和LSWR,并在此基础上分析不同区间LSCR和LSWR的变化情况。研究结果表明： ① LST与整体LSCR、LSWR正相关,夏季植被降温效应和不透水面增温效应最强,LSCR和LSWR分别为5.6%和5.1%;② 夏季各区间LSCR与FVC正相关,FVC为75%~100%时LSCR达到最大值7.5%;各区间LSWR与ISP负相关,ISP为75%~100%时LSWR达到最小值2.4%;③ 当FVC为0~25%,ISP为75%~100%时,可以充分发挥植被的降温效应,抑制不透水面的增温效应,是最佳的植被和不透水面组合方案。本研究采用的LSCR和LSWR分析方法可以从抑制地表温度上升的角度选择最佳的FVC和ISP区间,未来可基于此横向对比不同城市,并结合纬度、地形、气候、树种等因素对LSCR和LSWR的影响,进一步探索LSCR和LSWR的影响因子和变化规律。     

基于深度学习模型的城市高分辨率遥感影像不透水面提取

不透水面是衡量城市生态环境状况的重要指标。城市土地利用的复杂性和不透水表面材料的多样性,导致直接从高分辨率遥感影像中提取不透水表面具有挑战性。针对城市尺度高分辨率遥感影像的不透水面提取要求,本文提出基于深度学习的城市不透水面提取模型。首先,利用深度卷积神经网络对影像特征进行提取;然后,根据其邻域关系构建概率图学习模型,进一步引入高阶语义信息对特征进行优化,实现不透水面的精确提取。本文选取武汉市为实验区,以高分二号卫星遥感影像作为数据源,完成了不透水面专题信息提取,其中自动提取准确率在建成区为89.02%、在城乡结合部为95.55%。与随机森林（RF）和支持向量机（SVM）等经典方法对比,结果表明深度学习不透水面提取方法有较高的提取精度和细节准确性,建成区的总体精度相比于RF和SVM算法分别提升2.18%和1.68%。最后,对武汉市各主要行政区不透水面信息进行统计和分析,结果表明其中江汉区和武昌区2个核心主城区不透水面占比超过60%,并对武汉市现状和发展规划特点进行了讨论。本文研究成果可为海绵城市和生态城市的建设提供基础技术支撑和数据参考。     

干旱区绿洲典型地物MESMA模拟分解与验证

混合像元作为遥感信息的不确定性,一直是定量遥感科学研究的核心领域之一,干旱区由于下垫面均匀、气象条件单一等先天条件,已成为定量遥感产品真实性检验的理想场所。本文以塔里木盆地北缘的库车河绿洲为研究区,首先,针对不同地物类型分别采用不同方法进行地物端元提取;然后,以端元均方根EAR(Endmember Aver-age RMSE,EAR)和最小平均波谱角(Minimum Average Spectral Angle,MASA)值来选取最优端元;最后,用多端元光谱混合分析(Multiple Endmember Spectral Mixture Analysis,MESMA)模型进行光谱混合分解,并对结果作了精度评价与比较分析。结果表明:MESMA模型能有效提高像元内基本组分丰度信息精度,从而为典型地物高精度提取提供了科学方法。