A method for mineral prospectivity mapping integrating C4.5 decision tree,weights-of-evidence and m-branch smoothing techniques: a case study in the eastern Kunlun Mountains,China

In this study, a novel method that integrates C4.5 decision tree, weights-of-evidence and m-branch smoothing techniques was proposed for mineral prospectivity mapping. First, a weights-of-evidence model was used to rank the importance of each evidential map and determine the optimal buffer distance. Second, a classification technique that uses a C4.5 decision tree in data mining was used to construct a decision tree classifier for the grid dataset. Finally, an m-branch smoothing technique was used as a predictor, which transformed the decision tree into a probability evaluation tree. The method makes no conditional independence assumption and can be applied for class imbalanced datasets like those collected during mineral exploration for prospectivity mapping of an area. The traits of comprehensibility, accuracy and efficiency were derived from the C4.5 decision tree. In addition, a case study for iron prospectivity mapping was performed in the eastern Kunlun Mountains, China. Sixty-two Skarn iron deposits and eight evidential maps related to iron mineralization were studied. On the final map, areas of low, moderate and high potential for iron deposit occurrence covered areas of 71,491, 14,298, and 9,532 km², respectively. For the goodness-of-fit test, 91.94 % of the total 62 iron deposits were within a high-potential area, 8.06 % were within a moderate-potential area and 0 % were within a low-potential area. For ten-fold cross-validation, 82.26 % were within a high-potential area, 14.52 % were within a moderate-potential area and 3.22 % were within a low-potential area. To evaluate the predictive accuracy, Receiver Operating Characteristic (ROC) curves and Area Under ROC Curve (AUC) were employed. The accuracy of the goodness-of-fit test reached 97.07 %, and the accuracy of the ten-fold cross-validation was 95.10 %. The majority of the iron deposits were within high-potential and moderate-potential areas, which covered a small proportion of the study area.     

Microbiological degradation of phenol using two co-aggregating bacterial strains

Phenol biodegradation in an aerobic batch reactor was investigated using mixed two co-aggregating strains (Flavobacterium sp. and Acetobacter sp.). Response surface methodology by the Box–Behnken model was used to evaluate the optimal cell growth and phenol degradation conditions. The optimum temperature, pH value and inoculum size were found to be 33 °C, 6.06 and 13 %, respectively. In the conditions, phenol degradation rate and biomass were predicted to be 96.97 % and 410.78 mg/L within the range examined, respectively. Less toxic acetaldehyde, ethanol and acetic ether were identified as main intermediate products from the degraded samples using GC–MS. Substrate inhibition was calculated from experimental biomass growth and phenol degradation parameters using the Haldane equation. Kinetic parameters derived from nonlinear regression with correlation factors (R ²) were 0.9682 for phenol degradation and 0.9594 for biomass growth, respectively. The phenol concentration to avoid substrate inhibition was 278.17 mg/L.     

Spatial heterogeneous response of land use and landscape functions to ecological restoration: the case of the Chinese loess hilly region

Ecological restorations over time may have profound effects on ecological and socio-economic systems. However, land-use changes and landscape functions that accompany ecological restorations can have spatial differentiations due to varied biophysical and socio-economic contexts. Therefore, these spatial differentiations caused by ecological restoration must be understood for better planning and management of restoration activities. The Baota District, with 576 villages in the center of the Chinese Loess Plateau, was selected as the study area because of its dramatic transition from cropland to grassland and shrubland from 1990 to 2010. Using the ArcGIS software and a k-means clustering analysis, an approach to identify types of land-use change patterns (TLCPs) at the village level was developed, and four TLCPs were delineated. The analysis indicated a general pattern of cropland decline by 21.6 %, but revealed significant spatial variations between villages in different TLCPs. Vegetation cover and soil retention, which are key proxies for landscape functions, increased by 22.70 and 108 %, respectively, from 2000 to 2010 with significant spatial heterogeneity. The Universal Soil Loss Equation was employed for the assessment of soil retention. The analysis of landscape metrics revealed a major trend of fragmentation and regularity on the county and village scale; however, spatial variations remained. Physical attributes were used to characterize different TLCPs, and notable differences were found. The spatial heterogeneous change in land use and landscape functions on the village scale may be useful for land use and ecological restoration management policy makers.     

Reservoir characteristics and main controlling factors of oil sand in Houba area,northwestern Sichuan Basin,China

Houba oil sand in frontier Longmenshan Mountain is one of the most typically important unconventional resources. The basic reservoir characteristics of oil sand and the main factors affecting reservoir quality were examined in this article based on porosity, permeability, and mercury porosimetry measurements; thin section analyses; SEM observation; and X-ray diffraction analysis. This study shows that the oil-bearing sandstone reservoir is mainly medium?coarse-grained sublitharenite and litharenite. The main pore type is intergranular pores, including residual primary intergranular pores, dissolved intergranular pores, and dissolved intragranular pores; fractures are common in this study area. The quality of sandstone reservoir is of high porosity and high permeability with a high oil saturation of 89.84 %. It is indicated that the main controlling factors of the reservoir in the study area include deposition, diagenesis, and tectonism. Deposition laid a foundation to porosity evolution, and channel sand is the most favorable depositional facies for the reservoir. Diagenetic alterations are the keys to reservoir evolution; dissolution and chlorite coatings cementation play an effective role in the generation and preservation of pores. Compaction, carbonate cementation, and quartz overgrowth cause many damages to the reservoir porosity. Fractures caused by structural breakages can improve the reservoir permeability and they also can provide fluid migration pathways to the late corrosion, which formed a lot of corroded fissures as reservoir and percolation spaces.     

Regional frequency analysis of extreme precipitation and its spatio-temporal characteristics in the Huai River Basin, China

With the increasing exposure of populations and economy to natural hazards, the spatio-temporal characteristics of extreme rainfall remain a key subject of study. Based on annual maximum rainfall (AM) and peaks over threshold rainfall series at 30 meteorological stations during 1960–2011 in the Huai River Basin (HRB), spatio-temporal characteristics of extreme rainfall are analyzed through regional frequency analysis method using L-moments. The accuracy and uncertainty analysis of quantile estimations are also carried out, and the regional and at-site frequency analyses are compared. Results indicate the following: (1) During 1960–2011, AM precipitation at 20 stations in the HRB shows an increasing trend, while at the other 10 stations, it shows a decreasing trend. And both the increased and decreased trends are not significant. (2) The HRB can be categorized into three homogeneous regions via cluster analysis. For both at-site and regional frequency analyses, the root mean square error values increase with the increase in return periods. The estimations are reliable enough for the return periods of less than 100 years. The quantile estimates of large return period from regional frequency analysis are more accurate and have smaller uncertainty than those from at-site frequency analysis. (3) Extreme precipitation in the HRB concentrates in the upstream of the Huai River and YiShuSi water system in the east of the HRB. Generally, the area with extreme precipitation, especially the upper reaches of the Huai River and Yimeng Mountain areas, also has large standard variations of extreme precipitation, which will increase the risk of natural hazards.     

对流层大气温度"蝴蝶形"震前异常

利用美国国家和海洋大气管理局(NOAA)的大气温度数据, 分析陆地地震和海洋地震震前震中上空的大气温度变化, 研究其作为地震短临前兆的可能性.地震样本包括2014年2月12日于田M_s7.3地震、2008年5月12日汶川M_s8.0地震、2011年3月11日日本M_s9.0地震、2014年4月1日智利M_s8.1海洋地震、2013年3月27日台湾南投县M_s6.1地震和2014年5月30日云南盈江M_s6.1地震.结果表明: (1)震前, 震中位置300~1 000 hPa大气温度有较为一致的变化趋势; (2)200 hPa与400 hPa处(根据不同地点可选择其他, 诸如350 hPa、300 hPa等高度数据)温度折线图在震前趋近或者相交, 出现类似蝴蝶翅膀的"蝴蝶形"特殊曲线形状; (3)200 hPa与400 hPa温度差等值线图在(震前数月、数周或数天不等)震中附近区域的数值减小, 温度差等值线图的塌陷最低点对应震中位置.以上规律有望应用于地震短临预测的时间与震中的确定.      

太阳活动周与全球大震

为研究太阳活动与全球大震的关系, 引入一个无量纲的"地震能量函数√G", 并分析研究了1681—2011故年间全球M≥7.0大震的能量释放的时间序列.由此发现全球大震在太阳活动周4个阶段的分布和活动度, 随震级的强度而异.提出地壳对太阳风暴加卸载响应模式, 用于解释此现象: 通过考察最近331 a, 得出全球共发生了10个M≥9.0超级巨震的时空分布特征, 特别是太阳活动峰年期间没有发生过超级巨震.该研究结果可为判断全球大震提供参考.      

中国城市流动人口心理融入的地区差异与影响因素

基于2017年流动人口动态监测调查数据,分析了中国城市流动人口心理融入的区域差异和影响因素。结果表明：① 流动人口心理融入处于较高水平;② 流动人口心理融入区域差异显著。东南沿海及少数西部城市心理融入低于全国平均水平,东北、山东和川渝等地区心理融入高于全国平均水平;③ 流动人口心理融入存在空间集聚效应。除川渝地区外,热点区集中于北方地区,冷点区集中于东南地区。④ 拥有房产、雇主身份和较高受教育水平加快流动人口的心理融入;工资收入的增加不利于心理融入,这与相对剥夺感有关;参与“新农合”对流动人口心理融入具有约束效应;暂住证/居住证及基本公共服务均等化是实现心理融入的重要途径。城市经济快速发展利于流动人口心理融入。跨省流动存在抑制作用,经济发展水平、家庭规模和本地居留时间的作用不显著。     

基于地理实践力的初中研学旅行课程设计与实践--以“北部湾海岸带野外考察”为例

本文以《义务教育地理课程标准(2011年版)》的要求为基础,聚焦初中生地理实践力的培养,依托北部湾丰富的海洋资源,以“北部湾海岸带野外考察”为例,从研学旅行课程设计、实施、评价与反思等方面进行阐述,以期为优化研学旅行课程的设计与实践提供指导与借鉴。     

UbD理论指导下的高中地理逆向教学设计——以"中国的能源安全"为例

高中地理课程改革要求重视学科大概念。UbD理论提出的逆向教学设计是在教学中落实学科大概念的重要途径。UbD理论指导下的逆向教学设计以学科大概念为核心、以学习结果为起点、评价优先,能够在教学中凸显学科大概念的价值和作用,符合新课程改革的理念。本文以人教版高中地理选择性必修3中的“中国的能源安全”为例进行逆向教学设计,提出在地理课堂中应用UbD理论进行逆向教学设计的策略。