浙江 江西两省矿业权流转情况与思考

矿产资源是国家的重要资源,探矿权、采矿权为国家所有。“两权”的流转应体现公平、竞争的原则,防止国有资产流失。     

不同保水处理下苏丹草光合特性研究

为了研究矿区生态修复过程中植物对不同保水措施的生理响应,以常用修复植物苏丹草为研究对象,利用CIRAS-2型(PP-Systems)光合仪测定苏丹草的光合指标,探讨高温下苏丹草对不同保水措施的生理响应,以期为矿区生态修复中的保水措施提供理论依据。结果表明：不同保水处理下苏丹草的光合速率Pn和瞬间水分利用效率WUE日变化均呈“W”型曲线,蒸腾速率Tr日变化呈“M”型曲线。苏丹草的Pn有“午休”现象存在,主要受非气孔因素的影响。影响苏丹草Pn、Tr的主要环境因子为大气CO₂浓度Ca、大气温度Tc、大气相对湿度RH。在土壤上覆盖火烧石和添加粉煤灰均显著增大了苏丹草的Pn和WUE,增强了苏丹草适应高温环境的能力。从Pn的指标来看,土壤表面覆盖火烧石处理比土壤中添加粉煤灰处理的效果好,但两者同时作用效果略低于单独用火烧石处理,原因有待进一步研究。     

山东省采煤塌陷地治理情况研究

为实现采煤塌陷地经济、社会和生态效益的最大化,通过实地调研,准确把握采煤塌陷地治理过程中遇到的突出问题,根据国家有关法律法规,结合实际情况,研究了治理采煤塌陷地的政策措施,其中也借鉴了外地的先进经验。研究结果表明,应建立土地复垦费用共管账户制度,政府负起历史遗留采煤塌陷地的治理责任,对部分塌陷地只能征不能转。同时提出了对山东省加快采煤塌陷地治理进程的若干对策建议。     

贵州锰矿废渣堆场重金属污染风险评价及草本植物重金属吸收特征

为明确锰矿废渣堆场重金属污染及优势草本植物重金属吸收特征,对贵州省典型锰矿废渣堆场的重金属污染风险进行了评价,并调查研究了锰矿废渣堆场草本植物的类群及重金属吸收特征。共采集优势草本植物18种,隶属11科18属,菊科和禾本科为优势科。对18种草本植物体地上部、地下部及其生长基质中Cr、Ni、Cu、Zn、Cd、Pb和Mn 7种重金属元素进行了测定,结果显示,锰矿废渣堆场重金属污染空间变异较大,Mn污染最严重,其次是Cd,属于Mn、Cd复合型污染。计算了草本植物对7种重金属元素的富集系数、转运系数,并对18种草本植物进行了聚类分析,综合分析了草本植物重金属吸收特征,结果显示,看麦娘对Cd富集系数达22.49,对Cd有较强的富集能力;五节芒、商陆对Cr、Ni具有较强的富集能力和转运能力;风毛菊和夏枯草对锰矿废渣区多种重金属均表现出较强的富集能力和转运能力。研究结果表明,锰矿废渣堆场主要为Mn和Cd污染,矿区本土自然生长的优势草本植物可作为生态修复的首选植物。     

Wavelet Application in Algorithms of Data Mining

Wavelets have been widely applied in such research areas as image processing, computer vision, network management and data mining. Wavelets have many favorable properties, which are hierarchical and multiresolution decomposition structure, linear time and space complexity of the transformations. The paper presents wavelet application on the algorithms of data mining, in cluding as clustering, classification, distributed data mining, similarity search, approximate query processing, visualization and so on. Finally, the paper concludes by discussing the impact of wavelets on data mining research and outlining potential future research directions and applications.     

Research on Mapping Method of Customer Need Information in Product Family Improvement

Aiming at ensuring that product family improvement is based on customer needs while taking full advantage of enterprise history database, firstly, customer needs in the product family improvement are expressed. Then a method of realizing the mapping of customer needs to functional requirements is presented, which is based on quality function development and association rule mining. Finally, an example illustrates the good application of the method.     

Regression Applied in Continuous Mathematical Forecast

Data Mining can distill the connotative, unknown and potential value information or pattern from many data. It is a problem that must be settled during the developing of Decision Support System how to discover knowledge from Data Warehouse. In order to realize the continuous mathematical forecast that will be used in the Marketing Decision Support System for Industrial Enterprise, the authors use the method of regression to discuss how to design the algorithm for Data Mining, how to design the model for Data Mining, and so on. When the algorithm applied to the sales forecast, the result processing to simulation data indicates it can realize the expected effect.     

Adaptive Intrusion Detection System Based on Agent and Data Mining

Intrusion detection system is an essential component of network security protection mechanisms. Most intrusion detection system can not adapt the variation of network environment. Aiming at this problem, an adaptive strategy that composed of condition space and strategy space is proposed. The condition space describes the network environment and the strategy space describes the strategy. There is an exclusive strategy corresponds to a certain environment state in condition space. On the base of the adaptive strategy, an adaptive intrusion detection system based on agent and data mining is designed. The simulation experiments indicate that the adaptive strategy is effective.     

干旱区矿区不同立地类型土壤种子库特征

矿区的自然或人工植被恢复是维持生物多样性及生态系统稳定的重要途径。通过室外萌发法对金昌镍铜矿区7种不同立地生境土壤种子库的研究表明:该区域土壤中物种丰富度较高,包括16科47属,共56种植物,分别为:藜科(Chenopodiaceae)、禾本科(Gramineae)、菊科(Compositae)、柽柳科(Tamaricaceae)、苋科(Amaranthaceae)、马齿苋科(Portulacaceae)、豆科(Leguminosae)、十字花科(Cruciferae)、车前科(Plantaginaceae)、胡颓子科(Elaeagnaceae)、蒺藜科(Zygophyllaceae)、莎草科(Cyperaceae)、大戟科(Euphorbiaceae)、紫草科(Boraginaceae)、蔷薇科(Rosaceae)、茄科(Solanaceae);植物组成以一年生草本植物占绝对优势(89.3%),多年生草本植物次之(7.54%),灌木种最少(2.59%)。土壤种子平均储量412粒·m~(-2),不同立地类型土壤种子库储量差异显著,与其他荒漠地区比较,土壤种子库储量偏低;土壤种子库物种Simpson多样性指数为:新尾矿周边自然植被区龙首矿自然植被区龙首矿开采废弃地供暖公司柽柳林地。     

Real-time PCR detection systems for Flavescence dorée and Bois noir phytoplasmas in grapevine: comparison with conventional PCR detection and application in diagnostics

A new real-time PCR detection system was developed for grapevine yellows (GY) using TaqMan minor groove binder probes and including two amplicons for group-specific detection of Flavescence dorée (FD) and Bois noir (BN) phytoplasmas, plus a universal phytoplasma amplicon. FD and BN amplicons were designed to amplify species-specific genomic DNA fragments and the universal amplicon to amplify the 16S ribosomal DNA region. Efficiency of PCR amplification, limit of detection, range of linearity and dynamic range were assessed for all three amplicons. The specificity of detection systems was tested on several other isolates of phytoplasmas and bacteria and on healthy field grapevine and insect samples. No cross-reactivity with other phytoplasma strains, plant or insect DNA was detected. The assay was compared with conventional PCR on more than 150 field grapevine, insect and field bindweed samples. Real-time PCR showed higher sensitivity as phytoplasmas were detected in several PCR-negative and in all PCR-positive samples. A data-mining analysis of results from both detection approaches also favoured real-time PCR over conventional PCR diagnostics. The developed procedure for detection of phytoplasmas in grapevine also included amplification of plant DNA co-extracted with phytoplasmic DNA, providing additional quality control for the DNA extraction and PCR amplification for each sample. The newly developed assay is a reliable, specific and sensitive method easily applicable to high-throughput diagnosis of GY.