A comparative study of fuzzy weights of evidence and random forests for mapping mineral prospectivity for skarn-type Fe deposits in the southwestern Fujian metallogenic belt,China

Recent studies have pointed out that the widespread iron deposits in southwestern Fujian metallogenic belt (SFMB) (China) are skarn-type deposits associated with the Yanshanian granites. There is still excellent potential for mineral exploration because large areas in this belt are covered by forest. A new predictive model for mapping skarn-type Fe deposit prospectivity in this belt was developed and focused on in this study, using five criteria as evidence: (1) the contact zones of Yanshanian granites (GRANITE); (2) the contact zones within the late Paleozoic marine sedimentary rocks and the carbonate formations (FORMATION); (3) the NE-NNE-trending faults (FAULT); (4) the zones of skarn alterations (SKARN); and (5) the aeromagnetic anomaly (AEROMAGNETIC). The fuzzy weights of evidence (FWofE) method, developed from the classical weights of evidence (WofE) and based on fuzzy sets and fuzzy probabilities, could provide smaller variances and more accurate posterior probabilities and could effectively minimize the uncertainty caused by omitted or wrongly assigned data and be more flexible than the WofE. It is an efficient and widely used method for mineral potential mapping. Random forests (RF) is a new and useful method for data-driven predictive mapping of mineral prospectivity method, and needs further scrutiny. Both prospectivity results respectively using the FWofE and RF methods reveal that the prediction model for the skarn-type Fe deposits in the SFMB is successful and efficient. Both methods suggested that the GRANITE and FORMATION are the most valuable evidence maps, followed by SKARN, AEROMAGNETIC, and FAULT. This is coincident with the skarn-type Fe deposit mineral model in the SFMB. The unstable performance experienced when FORMATION was omitted might indicate that the highest uncertainty and risk in follow-up exploration is related to the sequences. In addition, the performance of the RF method for the skarn-type Fe deposits prospectivity in the SFMB is better than the FWofE; therefore, it could be used to guide further exploration of skarn-type Fe prospects in the SFMB.     

科尔沁沙地中南部34种植物叶功能性状及其相互关系

以科尔沁沙地中南部34种主要植物为研究对象,分别测定叶片鲜重(FW)、干重(DW)、干物质含量(LDMC)、面积(LA)和比叶面积(SLA),比较不同生活型(一二年生草本、多年生草本、灌木)和功能型(C₃、C₄植物)的叶片性状的差异性,探讨沙地植物叶片性状相互之间的内在联系及其对环境的适应性。结果表明:一二年生草本的LDMC(0.23 g·g^-1)显著小于多年生草本(0.31 g·g^-1)和灌木(0.32 g·g^-1);而一二年生草本的SLA(22.14 m²·kg^-1)显著大于多年生草本(17.18 m²·kg^-1)和灌木(13.41 m²·kg^-1)。一二年生和多年生C₄植物的LDMC显著大于C₃植物;多年生C₄植物SLA显著大于C₃植物;C₃植物的LDMC表现为一二年生草本<多年生<灌木。沙地植物的叶鲜重、叶干重和叶面积三者间极显著正相关,植物叶干重与SLA显著负相关;C₄植物和多年生植物叶干重与SLA显著负相关。沙地不同生活型、功能型植物叶片的功能性状差异明显,沙地灌木和多年生植物能够较强的适应干旱环境,一二年生草本则具有较强的保持体内营养和获取土壤资源的能力。     

Urban Expansion in China Based on Remote Sensing Technology: A Review

Urban areas and its evolution are important anthropogenic indicators and human ecological footprints, and play decisive roles in environmental change analysis, global geo-conditional monitoring, and sustainable development. China has the highest rate of urban expansion and has emerged as an urban expansion hotspot worldwide. In this paper, the progress of studies on Chinese urban expansion based on remote sensing technology are summarized and analyzed from the aspects of urban area definition, remotely sensed imagery applied in urban expansion, monitoring methods of urban expansion, and urban expansion applications. Existing issues and future directions of Chinese urban expansion are discussed and proposed. Results indicate that: 1) The fusion of multi-source remotely sensed imagery is imperative to meet the needs of urban expansion with various monitoring terms and frequencies on different scales and dimensions. 2) To guarantee the classification accuracy and efficiency and describe urban expansion and its influences on local land use simultaneously, the combination of visual interpretation and automatic classification is the tendency of future monitoring methods of urban areas. 3) Urban expansion data have become the prerequisite for recognizing the urban development process, excavating its driving forces, simulating and predicting the future development directions, and also is conducive to revealing and explaining urban ecological and environmental issues. 4) In the past decades, Chinese scholars have promoted the application of remote sensing technology in the urban expansion field, with data construction, methods and models developing from the quotation stage to improvement and innovation stage; however, an independent and consistent urban expansion data on the national scale with long-term and high-frequency (such as annual monitoring) monitoring is still lacking.     

Analyzing Influencing Factors of Rural Poverty in Typical Poverty Areas of Hainan Province: A Case Study of Lingao County

Rural poverty and poverty reduction are not only the focal issues that have attracted worldwide attention, but also the vital issues on people’s livelihood that has attached great importance and aimed to be solved by the central and local governments of China. Based on the survey data of 354 farming households, this paper, taking the national poverty county of Lingao County, Hainan Province for an example, examined the characteristics of rural poverty of the county. Moreover, this paper established the spatial lag model (SLM) from five dimensions, namely, status of the household head, household structure, health status, income composition and traffic accessibility, to analyze the main influencing factors of rural poverty according to the values of Moran’s I and the diagnosis of spatial dependence of the OLS model. It is found that the poor farming households gathered mainly in five towns in the north and southwest of the county, and the rural poverty have the characteristics of low educational level of the heads, more minor children, high population of farming peasants, high incidence of disease and low proportion of household wage-equivalent income. The results also showed that the variables such as the number of minor children, the number of migrant worker, the number of farming peasants and the proportion of wage-equivalent income have significant effectiveness on rural poverty, while the status of the household head, health status and traffic accessibility have little influence. It is an important way to realize the goal of poverty alleviation by controlling the number of farmers’ fertility, strengthening the vocational skills training of farmers, vigorously developing specialization and large-scale agriculture and increasing the employment opportunities of farmers.     

Probability Analysis of the Wave-Slamming Pressure Values of the Horizontal Deck with Elastic Support

This paper presents the probability distribution of the slamming pressure from an experimental study of regular wave slamming on an elastically supported horizontal deck. The time series of the slamming pressure during the wave impact were first obtained through statistical analyses on experimental data. The exceeding probability distribution of the maximum slamming pressure peak and distribution parameters were analyzed, and the results show that the exceeding probability distribution of the maximum slamming pressure peak accords with the three-parameter Weibull distribution. Furthermore, the range and relationships of the distribution parameters were studied. The sum of the location parameter D and the scale parameter L was approximately equal to 1.0, and the exceeding probability was more than 36.79% when the random peak was equal to the sample average during the wave impact. The variation of the distribution parameters and slamming pressure under different model conditions were comprehensively presented, and the parameter values of the Weibull distribution of wave-slamming pressure peaks were different due to different test models. The parameter values were found to decrease due to the increased stiffness of the elastic support. The damage criterion of the structure model caused by the wave impact was initially discussed, and the structure model was destroyed when the average slamming time was greater than a certain value during the duration of the wave impact. The conclusions of the experimental study were then described.     

Morphodynamic responses to the deep water harbor development in the Caofeidian sea area,China's Bohai Bay

Vast bay-type tidal inlets can be found along the coastal zones of China. They are generally suitable for deep water channels and large harbors because of the presence of large water depth and good mooring conditions. The deep channel, in front of the head of Caofeidian Island in Bohai Bay, China, is a typical bay-type tidal inlet system. The tidal current, a type of reverse flow, makes the key contribution to maintain the deep water depth. The co-action of waves and tidal currents is the main dynamic force for sediment motion. Waves have significant influence on the sediment concentration. Based on the characteristics of waves, tidal currents, sediment and seabed evolution in Caofeidian sea area, a 2D mathematical model for sediment transport under influence of waves and tidal currents is developed to study the development schemes of the Caofeidian Harbor. The model has been verified for spring and neap tides, in winter as well as in summer of 2006. The calculated tidal stages, flow velocities, flow directions and sediment concentrations at 15 stations are in good agreement with the observations. Furthermore, the calculated data on pattern and magnitude of sedimentation and erosion in the related area agree well with the observations. This model has been used to study the effects of the reclamation scheme for Caofeidian Harbor on the hydrodynamic environment, sediment transport and morphological changes. Attentions are paid to the project inducing changes of flow velocities and morphology in the deep channel at the south side of Caofeidian foreland, in the Laolonggou channel and in various harbor basins. The conclusions can provide the important foundation for the protection and use of bay-type tidal inlets and the development of harbor industry.     

俄乌海战对我国海军建设的启示

俄乌战争引人关注,尤其是海战领域双方的实战对抗对世界各国海军建设有重要的参考价值。简述了俄乌海战概况,重点剖析了蛇岛攻防战、“莫斯科”号巡洋舰被击沉、塞瓦斯托波尔港遇袭等典型战例的作战过程及关键致胜因素。分析了俄海军作战不利的经验教训及乌海军在体系支撑下获得的局部战场优势,并由此得到我海军装备发展的启示。     

南海海平面对两类El Ni?o的不同响应

利用ECMWF ORAS4重构数据,分析了南海海平面异常(SLA)对东部型(EP)El Ni?o和中部型(CP)El Ni?o的不同响应特征。南海SLA在两类El Ni?o期间表现出不同的时空演变规律。对于东部型El Ni?o,南海空间平均的SLA在发展年的秋、冬季显著下降,最低可达?2 cm,并在次年开始上升,至次年冬季可达2 cm。空间分布上,在发展年秋、冬季,除越南东南部海域存在一个正异常中心外,在南海绝大部分海域,SLA均表现为显著的负异常;从次年春季开始,SLA负异常减弱,而越南东南部的正异常开始发展,直至冬季南海大部分海域以正异常为主。对于中部型El Ni?o,南海SLA在整个El Ni?o发展和衰退期间均表现为显著负异常,异常值始终维持在?2 cm左右,并且在空间上表现为全海盆一致的负异常模态。相比于传统的经验正交分解(EOF),季节EOF(S-EOF)能够更好地刻画南海SLA在两类El Ni?o期间的时空演变特征,S-EOF的第一模态表现为中部型El Ni?o模态,而第二模态更多地表现为南海SLA在东部型El Ni?o期间的演变特征。南海海平面在两类El Ni?o期间的不同变化主要是由于海峡通道处的热量平流输运异常所产生的热比容效应导致的,但是比容海平面的贡献主要集中在南海内区和南海东部等深水海域,对于南海西部等近岸海域,海平面的变化机制还有待进一步深入研究。     

Effects of Random Negative Training Samples on Mineral Prospectivity Mapping

Natural Resources Research - Supervised data-driven mineral prospectivity mapping (MPM) usually employs both positive and negative training datasets. Positive training datasets are typically...     

东海陆架泥质区沉积有机质的物源分析

色谱和色谱／质谱分析表明，济州鸟西南泥质区正构烷烃、姥鲛烷、植烷、藿烷和甾烷等生物标志物的特征与现代长江口、老黄河口和新黄河口的河流沉积物均区别很大，该泥质区的沉积有机质主要来源于海洋低等生物（如细菌和藻类等）以及陆源高等植物的输入，表现为不同来源和成熟度的生物标志物的混合，同时该泥质区沉积有机质与矿物碎屑沉积物来源不尽相同。长江口泥质区正构烷烃高相对分子质量部分与长江口沉积物相似，正构烷烃和藿烷所反映的有机质成熟度高于现代长江和老黄河口沉积物，甾烷的成熟度与长江相仿而明显高于老黄河口沉积物。长江口泥质区的沉积有机质主要来源于长江输入的陆源高等植物碎片和海洋源的低等生物。东海陆架近岸与远端泥质区沉积有机质的物源很不相同。