GIS-based landslide susceptibility mapping using hybrid integration approaches of fractal dimension with index of entropy and support vector machine     

ZHANG Ting-yu  HAN Ling  ZHANG Heng  ZHAO Yong-hua  LI Xi-an  ZHAO Lei 《山地科学学报》2019,(6)

The loess area in the northern part of Baoji City, Shaanxi Province, China is a region with frequently landslide occurrences. The main aim of this study is to quantitatively predict the extent of landslides using the index of entropy model(IOE), the support vector machine model(SVM) and two hybrid models namely the F-IOE model and the F-SVM model constructed by fractal dimension. First, a total of 179 landslides were identified and landslide inventory map was produced, with 70%(125) of the landslides which was optimized by 10-fold crossvalidation being used for training purpose and the remaining 30%(54) of landslides being used for validation purpose. Subsequently, slope angle, slope aspect, altitude, rainfall, plan curvature, distance to rivers, land use, distance to roads, distance to faults, normalized difference vegetation index(NDVI), lithology, and profile curvature were considered as landslide conditioning factors and all factor layers were resampled to a uniform resolution. Then the information gain ratio of each conditioning factors was evaluated. Next, the fractal dimension for each conditioning factors was calculated and the training dataset was used to build four landslide susceptibility models. In the end, the receiver operating characteristic(ROC) curves and three statistical indexes involving positive predictive rate(PPR), negative predictive rate(NPR) and accuracy(ACC) were applied to validate and compare the performance of these four models. The results showed that the F-SVM model had the highest PPR, NPR, ACC and AUC values for training and validation datasets, respectively, followed by the F-IOE model.Finally, it is concluded that the F-SVM model performed best in all models, the hybrid model built by fractal dimension has advantages than original model, and can provide reference for local landslide prevention and decision making.  相似文献   

晋西北地区表层土壤粒度与地球化学元素组成   总被引：1，自引：1，他引：0  

李继彦  周玲  刘益  张倩  蔡莹莹  张宝贵 《中国沙漠》2019,39(5):155-162

对晋西北地区表层土壤的物质组成进行研究,可以明确其物质来源、沉积环境及化学风化特征。选择区内表层土壤（深度0、10、20 cm）及其附近的河流沉积物,进行粒度和化学元素组成测试。结果表明：（1）晋西北地区表层土壤粒度组成以黏土和粉沙为主,且有自地表向下粗颗粒组分含量增加的趋势。（2）常量化学元素组成以SiO₂、Al₂O₃、CaO、Fe₂O₃为主,其余元素含量均较低。化学元素组成模式表明研究区内表层土壤物质与黄土高原腹地黄土有相同的物质源区,黄河河流沉积物对其贡献不大。（3）晋西北表层土壤的CIA值为52.70~57.89,平均54.06,说明它们的化学风化程度较低,处于早期的脱Na、Ca阶段。这是由于研究区地理位置比洛川更靠北,气温和降水量均低于洛川,降水量与兰州相差不大,但是年平均气温和年温差比兰州低。该研究明确了晋西北地区表层土壤的物质组成特征,为区域潜在沙漠化危害防治提供了数据支撑。  相似文献   

基于空间计量模型的中国城市化发展与城市空气质量关系   总被引：1，自引：0，他引：1  

姜磊  周海峰  柏玲 《热带地理》2019,39(3):461-471

采用中国289个地级及以上城市2016年的空气质量指数（AQI）和夜间灯光数据,运用空间滞后模型,从空间溢出效应视角出发探究了城市化发展与空气质量之间的定量关系。从空间滞后模型的估计结果来看,城市空气污染存在显著的空间溢出效应,周边地区空气质量的下降会导致本地空气污染情况加重。在城市发展过程中,城市经济发展水平的提高,引致的城市建设用地的扩张使得空气质量不断恶化;政府管制力的加强对空气污染的治理起到了促进作用,而居民环保意识和城市技术创新水平的提高有利于空气质量的改善。此外,PM2.5质量浓度的上升导致空气质量恶化。公路货运量在统计上与空气质量的关系不显著。从研究结果来看,协调城市发展与空气质量的关系以及加强空气污染防治的联防联控机制,是未来空气污染治理工作的重点。  相似文献   

Succession of the Nanoplankton Community during a Brown Tide in a Scallop Culture Area in China     

Qiao  Ling  Yu  Jie  Li  Ying  Guo  Haobing  Zhen  Yu  Zhang  Lingling  Mi  Tiezhu  Zhang  Fuchong  Bao  Zhenmin 《Ocean Science Journal》2019,54(3):375-392

Ocean Science Journal - Brown tides caused by Aureococcus anophagefferens have occurred frequently in the coastal waters of Qinhuangdao since 2009. The Changli coast is the area most strongly...  相似文献   

新工科理念下的实验课程教学改革与实践探索     

蔡剑红  霍亮  朱凌 《测绘通报》2019,(2):147-152

近年来为适应创新人才的培养,"卓越计划"开启了全新教学模式。基于新工科理念,为了更好地进行实验课程教学,以"3ds Max软件三维建模"为例,笔者从课程内容安排、教学方式、考核机制等方面进行了教学探索和实践。本文以应用软件实验类课程项目教学的实践经验为基础,注重学生团队合作和交流能力、实践能力、创新能力培养,以及多渠道快速学习新事物的能力,通过与测绘新技术下多软件融合,使学生拥有知识整合能力,为提高实践教学提供参考和借鉴,以更好地适应新工科理念下的创新人才培养。  相似文献   

Responding to Global Warming: Mitigation Policies and Actions of Stakeholders in China’s Tourism Industry     

FENG Ling  CHEN Da  GAO Shan  WANG Yongzhi  TANG Chengcai 《资源与生态学报(英文版)》2019,10(1):94-103

China’s tourism industry has witnessed rapid progress in recent years, and is now an important part of global tourism in dealing with climate change. Within a framework of Pressure-State-Response (PSR), this paper focuses on the emission reduction pressure, carbon emission status, and responses of stakeholders in China’s tourism industry. Findings include: 1) The central government’s strategy and rapid growth of the industry scale exert rising pressure on China’s tourism to reduce carbon emissions. 2) Carbon emissions of China's tourism account for 13%-14.6% of global tourism, and about 3% of China’s emissions overall. Chinese tourists’ per capita carbon emission is lower than half of the global level. 3) The Chinese government attaches great importance to energy-saving and carbon emission reduction. In the tourism industry, documents, standards and other regulative measures have been issued to ensure that business practitioners set up green operational and managerial systems. In the field of tourism transportation, China's high-speed rail, new energy vehicles, and urban shared bicycles, have developed very rapidly in recent years, and they have effectively reduced the carbon emissions in traveling. Furthermore, this paper finds that Chinese tourists already have awareness and willingness for low-carbon tourism.  相似文献   

基于转录组测序对两种氮素营养条件下多形微眼藻氮代谢途径的解析     

李迎  米铁柱  乔玲  甄毓 《海洋与湖沼》2019,50(6):1241-1251

探究微藻的氮代谢通路对了解其对不同氮源利用的分子机制具有重要意义。本研究利用Illumina高通量测序技术对两种氮素营养条件下(硝酸氮和尿素)多形微眼藻的转录组进行分析,通过基因功能注释及数字基因表达谱分析,研究了多形微眼藻细胞内氮代谢的调控机制。结果检测出15种参与氮代谢的酶,对应76个编码基因,构建了多形微眼藻的氮代谢通路图。其中10个酶编码基因在两种不同氮素营养条件下存在差异表达,最显著的是谷氨酸合成酶、谷氨酸脱氢酶和谷氨酰胺合成酶相关基因。有机氮源(尿素)实验组中,多形微眼藻细胞内的硝酸盐还原酶、亚硝酸盐还原酶等基因的差异表达明显高于无机氮源(硝酸钠)实验组,表明当环境中的氮源为尿素时,会对多形微眼藻细胞内硝酸盐的转化和利用有一定影响。本研究初步阐述了硝酸盐、尿素的吸收转运对多形微眼藻细胞内氮代谢的影响机制,可为硅藻在不同氮素营养条件下的吸收利用机制及氮代谢响应研究提供依据。  相似文献   

Isolation of protein from Chlorella sorokiniana CY1 using liquid biphasic flotation assisted with sonication through sugaring-out effect     

Chia  Shir Reen  Chew  Kit Wayne  Show  Pau Loke  Sivakumar  Manickam  Ling  Tau Chuan  Tao  Yang 《中国海洋湖沼学报》2019,37(3):898-908

Microalgae, a sustainable source of multi beneficial components has been discovered and could be utilised in pharmaceutical, bioenergy and food applications. This study aims to investigate the sugaring-out effect on the recovery of protein from wet green microalga, Chlorella sorokiniana CY1 which was assisted with sonication. A comparison of monosaccharides and disaccharides as one of the phaseforming constituents shows that the monosaccharides, glucose was the most suitable sugar in forming the phases with acetonitrile to enhance the production of protein(52% of protein). The protein productivity of microalgae was found to be significantly influenced by the volume ratio of both phases, as the yield of protein increased to 77%. The interval time between the sonication as well as the sonication modes were influencing the protein productivity as well. The optimum protein productivity was obtained with 10 s of resting time in between sonication. Pulse mode of sonication was suitable to break down the cell wall of microalgae compared to continuous mode as a lower protein yield was obtained with the application of continuous mode. The optimum condition for protein extraction were found as followed: 200 g/L glucose as bottom phase with volume ratio of I:1.25, 10 s of resting time for ultrasonication, 5 s of ultrasonication in pulse mode and 0.25 g of biomass weight. The high yield of protein about 81% could be obtained from microalgae which demonstrates the potential of this source and expected to play an important role in the future.  相似文献   

中国东海陆架海域柱状沉积物对磷的吸附行为     

王贺  路敏  李苓  刘晓月  曹晓燕 《海洋湖沼通报》2019,(4):72-80

通过研究磷在海洋柱状沉积物上的吸附动力学曲线和吸附等温线,并结合沉积物表面电荷性质以及磷形态分析,考察了我国东部陆架海域沉积物对磷的吸附特征。结果表明,所研究海域沉积物对磷的吸附过程明显分为快慢两段,48h后吸附可达到平衡;吸附后的磷主要为可交换态磷,吸附过程以物理作用为主;吸附等温线可用Langmuir交叉型模式描述,在磷初始浓度较低时,沉积物对磷存在解吸现象;沉积物对磷吸附参数的垂直分布较为复杂,受自身性质影响较大;盐度增大,沉积物对磷的吸附能力呈下降趋势。  相似文献   

一种海洋混合层深度的智能识别方法研究     

张康  郭双喜  黄鹏起  屈玲  鲁远征  岑显荣  于璐莎  周伟东  周生启 《热带海洋学报》2019,38(5):32-41

文章提出了一种识别混合层深度的人工智能方法。该方法在温度(密度)与压强(或深度)间建立线性模型, 并且将其系数和方差做成一组表征廓线特征的统计量。初始时为模型设定一个主观的先验分布, 在一个自海表向下移动的窗口内通过贝叶斯链式法则和最小描述长度原理学习新数据, 得到系数均值的最大后验概率估计。用F-检验识别系数发生突变的位置, 以此确定混合层的存在性及其深度。通过2017年2月太平洋海域的地转海洋学实时观测阵(Array for Real-time Geostrophic Oceanography, ARGO)数据进行测试, 并且以质量因子(Quality Index, QI)值作为判断识别混合层深度结果准确性的依据, 发现该方法相比于梯度法、阈值法、混合法、相对变化法、最大角度法和最优线性插值法在识别结果上具备更大的QI值。表明该方法能够准确识别混合层深度。  相似文献