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。     

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.     

Metal contamination from open-cast copper and sulphur mining in southeast Ireland

The metal content was determined in soil and vegetation around the eastern zone of the disused sulphur and copper mines at Avoca (southeast Ireland). A 250 m × 250 m grid survey was conducted covering a total area of 4 km². The mining belt was in the centre of the investigated site and was sampled separately. Iron, Zn, Cu and Cd concentrations in soil and plant material were determined, in addition to soil organic matter content and soil pH. Soil samples taken from the spoil showed elevated Cu and Cd concentrations, and low soil pH and organic matter content. At least 50 per cent of the agricultural sites examined around the East Avoca Mine showed elevated soil Cu and Cd concentrations, whereas Zn and Fe soil concentrations were within the range for unpolluted soils. None of the vegetation analysed had elevated Zn, Cd, Fe or Cu concentrations. Overall there was no indication of serious metal contamination in either soils or vegetation surrounding the mine in spite of extensive dust deposition during open-pit mining activity 15–30 years ago. However, a plume of elevated Cu in the soil was identified, which originated from a large spoil heap and had been spread for some 2·0 km by the prevailing wind.     

杨庄煤矿区农田塌陷水域多介质OCPs污染特征及生态风险研究

为研究采煤活动影响下农田塌陷水域有机氯农药(OCPs)的污染特征及潜在生态风险,使用GC-MS对淮南潘一矿的杨庄农田塌陷区水体和底泥中的OCPs特征污染物六六六(HCHs)及滴滴涕(DDTs)进行质量浓度测定,利用ArcGIS进行OCPs分布特征及来源研究,并选择共识沉积物质量基准法(CB-SQGs)对潜在生态风险进行分析。结果表明:杨庄沉陷区溶解态ΣOCPs质量浓度范围为72.06～218.89 ng·L~(-1),均值为167.32 ng·L~(-1);悬浮态和沉积态ΣOCPs范围为199.35～405.04 ng·g~(-1)dw和24.34～1 247.32ng·g~(-1)dw,均值为277.07 ng·g~(-1)dw和238.78 ng·g~(-1)dw;悬浮态和沉积态OCPs质量浓度自上游向下游方向随水流呈削减趋势;杨庄塌陷水体中HCHs主要来自于林丹,DDTs主要来自于农业三氯杀螨醇;溶解态OCPs低于国家Ⅲ类水质标准限额,处于低生态风险水平;悬浮态和沉积态OCPs处于中高生态风险水平,其中沉积态OCPs毒性发生率略低于悬浮态OCPs毒性发生率。     

南方某矿区土壤镉污染及作物健康风险研究

为了评估南方某县土壤镉污染情况、量化当地不同作物镉含量并对不同人群健康风险进行评估,从该县3个镇采集135份土壤样本,入户采集128份自产大米样本,种植区采集7份脐橙样本,对其中镉含量进行测定。结果表明,3镇采集土壤样品镉超标率分别为41.67%、28.81%和21.62%,地累积指数计算得到该县68.9%的土壤样本受到不同程度的镉污染,大米镉含量超标率分别为48.57%、34.48%、8.82%。而脐橙果肉样品中镉含量较低,远低于0.05 mg·kg^-1。计算不同作物的危害商数（HQ）可得,食用自产大米的危害商数（HQ）值普遍大于1,风险较高,而食用脐橙果肉产生的健康风险低。种植脐橙具有一定的经济效益,且当地具有脐橙适宜的生长条件,故考虑在重污染区种植脐橙取代种植水稻。