和静备战铁矿床地质特征及控矿因素分析

新疆和静县备战铁矿位于巩乃斯石炭纪裂谷带东端楔形尖灭部位,矿体受下石炭统大哈拉军山组灰岩与华力西中期石英二长斑岩体接触带的控制.矿区内存在一个从基性→酸性,从橄榄玄武岩→玄武岩→安山岩→英安岩→霏细岩(流纹岩)演化的火山熔岩系列,同时发育大量火山碎屑岩及火山碎屑沉积岩,构成大哈拉军山组主体地层,为备战铁矿成矿的最有利层位.矿区南北两侧均为近EW向断裂构造,具压扭性质,是一个长期活动的构造薄弱带,有利于火山活动及岩浆岩侵入.从矿床地质特征出发,概括了该矿床的基本控矿因素,为下一步该类型铁矿床找矿提供依据.     

哈尼梯田麻栗寨河流域雨季大气降水氢氧同位素特征及影响因素

以红河哈尼梯田文化景观遗产核心区麻栗寨河流域的雨季大气降水为研究对象,对2014年雨季典型月7月的氢氧同位素组成进行了分析,拟合出大气瞬时降水线方程,并与邻近地区及全国、全球降水线方程进行对比,分析温度、湿度、降水量等气象参数和海拔对氢氧稳定同位素的影响,并初步判断该区的水汽来源。结果表明：（1）研究区雨季大气降水δ¹⁸O值变化范围大,与邻近的昆明、贵阳、成都地区相比,贫化明显;（2）大气降水线方程为δD=7.59δ¹⁸O+3.31,其斜率和截距较小,说明研究区雨季降水量大且蒸发强烈、降水的水汽来源非单一化,除受印度洋、孟加拉湾的变热性热带海洋气团的影响,还受研究区地表水体的二次蒸发影响;（3）研究区降水稳定同位素特征显示不但存在明显的降水量效应,也存在温度效应和海拔效应,但各因素是综合作用的,主导因素不明显。     

Multispectral remote sensing for mapping grassland degradation using the key indicators of grass species and edaphic factors

Land degradation is believed to be one of the most severe and widespread environmental problems. In South Africa, large areas of land have been identified as degraded, as shown by the lower vegetation cover. One of the major causes of grassland degradation is change in plant species composition that leads to presence of unpalatable grass species. Some grass species have been successfully used as indicators of different levels of grassland degradation in the country. This paper, therefore explores the possibility of mapping grassland degradation in Cathedral Peak, South Africa, using indicators of grass species and edaphic factors. Multispectral SPOT 5 data were used to produce a grassland degradation map based on the spatial distribution of decreaser (Themeda triandra) and increaser (Hyparrhenia hirta) species. To improve mapping accuracy, soil samples were collected from each species site and analysed for nutrient content. A t-test and machine learning random forest classification algorithm were applied for variable selection and classification using SPOT 5 data and edaphic variables. Results indicated that the decreaser and increaser grass species can be mapped with modest accuracy using SPOT 5 data (overall accuracy of 75.30%, quantity disagreement = 2 and allocation disagreement = 23). The classification accuracy was improved to 88.60%, 1 and 11 for overall accuracy, quantity and allocation disagreements, respectively, when SPOT 5 bands and edaphic factors were combined. The study demonstrated that an approach based on the integration of multispectral data and edaphic variables, which increased the overall classification accuracy by about 13%, is a suitable when adopting remote sensing to monitor grassland degradation.     

湿地土壤NH3挥发、N2O释放过程及影响因素

湿地土壤NH3挥发及N2O释放过程与氮的气态损失密切相关,其对于氮循环的生态意义重大。综述了湿地土壤NH3挥发、N2O释放过程及影响因素的研究动态。当前湿地土壤NH3挥发及N2O释放研究主要集中在挥发／释放特征与一般影响因素的探讨上。影响湿地土壤NH3挥发及N2O释放的因素主要包括土壤理化学性质、环境因素、水文过程、生物群落和人类活动等。鉴于当前相关研究中存在的问题,在今后研究中应亟需加强的领域包括：①NH3挥发及N2O释放的驱动机制;②NH3挥发及N2O释放应用模型表征;③全球变暖、降水改变等对NH3挥发及N2O释放过程的影响;④人类活动对NH3挥发及N2O释放过程的作用机制。     

黄龙风景区藻席嗜冷硅藻群落结构变化及其驱动因子分析

硅藻群落对环境变化十分敏感,是自然河流水质变化的指示生物。为了解黄龙风景区藻席及藻席嗜冷硅藻群落结构与环境变量的关系,对景区内8个典型景点进行水样和藻席的采集并分析。结果表明,黄龙风景区藻席是以钙华作为基底,丝状藻作为骨架,栖息着大量硅藻的高寒岩溶微生态系统,共鉴定出25属72种硅藻,其中优势种13种,以桥弯藻属（Cymbella）为主。通过冗余分析发现,水温（F = 2.8,P = 0.02）和溶解硅（F = 2.3,P = 0.04）是影响黄龙风景区藻席嗜冷硅藻群落结构特征的主要驱动因子,TN是潜在驱动因子。硅藻可以为高寒岩溶区地表水监测提供重要的补充信息,建立完整的硅藻物种数据库,有利于区域水质监测。     

基于R型因子分析法的滑坡发育影响因素分析

以陕西省岚皋县境内滑坡为研究对象,借助R型因子分析法,对滑坡发育的影响因素进行分析研究。结果表明：起主导作用的主项因素按照其影响作用的大小依次为滑坡前缘河流影响距、人类工程活动、地形地貌和控滑结构面; 影响较大的分项因素按照其影响作用的大小依次为滑坡体前缘河流影响距、开挖坡脚、原始斜坡坡向、控滑结构面倾向、耕地（占坡体百分比）和滑坡体碎石含量。结合影响滑坡发育的主项因素和分项因素,综合确定影响滑坡发育的主控因素按照其影响的作用大小依次为河流影响距、开挖坡脚、原始斜坡坡向、控滑结构面倾向。该问题的研究不仅可以为滑坡灾害的分析提供新的方法,而且对滑坡灾害的防灾减灾提供了一种新思路。     

江西省空气负离子浓度特征与气象因子相关分析

利用2019年江西省靖安森林试验基地观测资料,分析了靖安森林站空气负离子浓度不同时间尺度的变化特征及其与气象因子的相关性,以及不同天气条件对其的影响。结果表明,靖安市年平均空气负离子浓度为2 187个/cm³,其中夏季浓度最高为2 910个/cm³,秋季最低为1 756个/cm³。此外,浓度日变化特征也存在明显的季节差异性,其中春夏秋冬四季峰值分别出现在10时(北京时,下同)、06时、09时、13时左右。日尺度上浓度与气温、降水、相对湿度均呈显著的正相关,月尺度上其与降水呈显著正相关。雨天的浓度高于晴天,四个季节雨天峰值分别出现在开始降水的7～9 h、7～15 h、9 h、9～11 h后。当降水量在0～10 mm时,降水对空气负离子浓度没有明显作用,随后浓度随降水量增加而上升,当出现暴雨天气的时候,浓度反而呈现下降趋势。     

河北丰宁招兵沟铁磷矿浮选选磷影响因素分析

通过对河北丰宁招兵沟铁磷矿浮选选磷工艺7年的生产实践总结,对原矿石性质,浮选粒度、浓度,浮选泡沫层动态,浮选机充气量,浮选温度,浮选水质等影响因素分别进行探讨和研究,找出影响浮选工艺的因素,为选矿厂生产提供依据。     

A spatial decision support system for extracting the core factors and thresholds for landslide susceptibility map

Spatial decision support system (SDSS) is an interactive, computer-based system designed to support a user in achieving a higher effectiveness of decision-making while solving a semi-structured spatial data. Satellite Remote Sensing and Digital Elevation Modeling are providing a systematic, rational framework for advancing scientific knowledge of our SDSS of geophysical phenomena that, often lead to observe the natural hazards or resources. Taking the advantage of these, more specifically, our study focused on using these to collect and measure the landslide data on a vast area located at Shei Pa National Park, Miao Li, Taiwan. Our source data includes (1) Digital Elevation Modeling is also used to investigate the landform, and (2) remote sensing image data are also employed to analyze the vegetation conditions. In addition, the process of generating landslide susceptibility maps involved on how to effectively extract the site-condition dominant attributes and thresholds for displaying the landslide occurrence accurately. Thus, the information from landslide must be categorized and thoroughly evaluated by an Advanced Data Mining Technique — Entropy-based classification method to construct the landslide knowledge rules. The knowledge scope with regards to core factors and thresholds are solved. Then, the susceptibility hazard maps are drawn and verifications are made. On the other hand, the conventional statistical method of Logistic Regression is used for comparison.     

基于SWAT模型模拟乌江三岔河生态系统产流服务及其空间变异

产流是生态系统水源涵养服务的重要内容,也是保水固土等服务的关键驱动。脆弱的喀斯特生态系统叠加人类活动的影响引起生态退化,在此背景下亟需深刻理解喀斯特地区产流服务空间格局及其影响因子。选择典型的喀斯特峰丛洼地流域,基于率定校准的SWAT水文模型,对喀斯特流域产流服务（包括地表、地下以及总径流量）进行模拟,并结合空间梯度分析和局部回归模型,剖析不同服务变量的空间变异特征。结果表明：研究区产流量空间分异规律明显,总径流系数约为70.0%;地表径流整体处于较低水平,地下径流量丰富（约为地表径流量的2~3倍）。地形因子对喀斯特流域产流服务具有宏观控制作用,随海拔和坡度升高,总径流量、地下径流量显著增加;植被分布特征对地表径流有重要影响,在上游林地和下游园地分布区存在空间差异,在植被因素的影响下随坡度的增加呈现转折性的变化趋势。此外,空间叠加分析表明林地总径流及地下径流最大：一方面是由于森林生态系统更强的土壤水分涵养能力以及水分快速入渗的地质背景特征;另一方面反映了地表覆盖与地形特征的复合效应,即林地大多分布在相对海拔和坡度较大之处。本文有助于推进喀斯特生态系统服务研究领域的发展与创新,并为生态恢复建设提供科技支撑。