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61.
某硫矿重金属分级及土柱淋溶 总被引:4,自引:0,他引:4
Fractions of various heavy metals in a sulfidic minespoil were investigated.Column leachine experiment was also conducted to simulate “acid mine drainage“(AMD) from the minespoil.The results show that leaching of heavy metals from the minespoil was extremely significant during the initial water flushing.The amounts of heavy metals leached out dramatically reduced after leaching twice.It is worthwhile to note that in this study,Zn,Mn,Fe,As and Ni in the first leachate exceeded the total amount of each corresponding water-extractable(1:5,soil:water)metal contained in the minespoil sample.This appears to suggest that 1:5 water extraction did not allow accurate estimation of water-leachable concentrations of the above heavy metals.This work has implications for the management of sulfidic minespolis.Acid drainage of great environmental concerns is likely to occur only during heavy rainfall events after substantial soluble and readily exchangeable acid and metals are accumulated in the minespoils.The slow-reacting fractions other than water-soulble and readily exchangeable fractions may pose little environmental hazards.This is particularly true for Pb,As and Ni. 相似文献
62.
Long-term monitoring of physical and biological parameters is essential for understanding the effects of El Niño on bird populations, particularly for small or declining populations. We examined the biological effects of El Niño activity from 1965 to 2004 using instrumental sea-surface temperatures from the Galápagos Islands and 20 years of census counts of the Galápagos penguin. Between 1965 and 2004, nine El Niño events were recorded of which two were strong and seven were weak. The two strong El Niño events of 1982-1983 and 1997-1998 were followed by crashes of 77% and 65% of the penguin population, respectively. The evidence suggests that the increased frequency of weak El Niño events limits population recovery. The 2004 penguin population is estimated to be at less than 50% of that prior to the strong 1982-1983 El Niño event. We discuss the biological effects of increased El Niño intensity and frequency within the context of a 6000-year record of El Niño influence and in the light of increasing anthropogenic threats operating after 1535, when the Archipelago was discovered by Europeans. 相似文献
63.
[目的]研究生物腐植酸对露天矿排土场土壤改良效果的影响,为进一步提高露天矿排土场的土壤质量提供科学参考。[方法]通过盆栽试验,研究不同生物腐植酸含量(0~400kg/hm2)对露天矿排土场不同土地利用类型〔(刺槐(Robinia pseudoacacia)林、榆树(Ulmus pumila)林、荆条(Vitex negundo)林、农田、未复垦土地〕下黑麦草(Lolium multiflorum)生长状况的影响。[结果]刺槐土、榆树土、荆条土、农田土、未复垦土出苗率最大值分别出现在加入生物腐植酸量为200,200,300,300,200kg/hm2的试验盆;5种土壤黑麦草幼苗株高所需生物腐植酸最大量值分别为200,200,200,300,300kg/hm2;5种土壤黑麦草根系长度最大值分别出现在300,100,300,300,300kg/hm2的试验盆;而生物量最大值分别出现在加入生物腐植酸量为200,100,200,300,300kg/hm2的试验盆。随着生物腐植酸量的增加,各土地利用类型条件下种植的黑麦草出苗率、株高、根系长度、生物量均表现出先增加后减小的趋势。[结论]生物腐植酸对露天矿排土场不同土壤植物更新与生长具有剂量效应,表现为"单峰型"变化规律,体现出适量的生物腐植酸对露天矿排土场植被恢复具有促进作用。 相似文献
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65.
黑龙江省乌拉嘎金矿废弃地植被恢复情况研究 总被引:1,自引:0,他引:1
在结合黑龙江省实际情况,通过文献资料检索,对黑龙江省的矿区废弃地实地调查监测,对黑龙江乌拉嘎金矿矿区废弃地展开生态恢复现状的调查研究。利用先进的检测手段,采用科学的评价方法,系统分析和研究黑龙江省森工总局所管理的矿区废弃地对环境的影响,全面评估矿区废弃地复垦的成效,着眼于目前黑龙江省的矿区废弃地的生态恢复情况,研究矿区土地复垦技术并结合我省生态环境的应用,提炼总结黑龙江省的矿区废弃地复垦的经验和模式,为黑龙江省的矿区废弃地生态恢复提供基础资料与技术支持。 相似文献
66.
A novel coating technique was develped for controlling pyrite oxidation .The technique involved leaching pyrite particles with a solution containing low concentrations of phosphate and hydrogen peroxide.During the leaching rpocess,the iron released from pyrite by hydrogen proxide was precipitated by phosphate as a ferric phosphate coating .This coating was shown to be able to effectively prevent pyirte from oxidation and it could be established at the expense of only surface portions of pyrite.The emergence of this technique could provide a unique potential route for abating acid mine draingage and reclaiming sulfide-containing degraded mining land. 相似文献
67.
To solve the instability problem of established sample in the neural network evaluation method for mine ventilation system, a comprehensive evaluation of the ventilation system is carried out based on rough sets and BP neural networks. Taking the ventilation system of a mine as an example, the classification quality of raw data samples are tested by using rough set data analysis system. Then, based on artificial neural network theory, a rough sets-neural network evaluation model of a mine ventilation system is established and a new rough sets-neural network evaluation method of mine ventilation system is formed. The results show that, after the model validation of data and application, its theoretical evaluation results are in line with the actual situation, and the network total error is less than 0.004. It shows that the comprehensive evaluation method based on rough sets-neural networks has a good effect in evaluating mine ventilation system in practical application. 相似文献
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