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智能预选抛废在铅锌金银多金属矿中的应用及生产实践 被引量:1
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作者 黄安平 罗远波 《湖南有色金属》 CAS 2022年第4期11-13,20,共4页
为了节能降耗,减少尾矿量,水口山选厂通过智能预选抛废,提前抛出一部分废石作为建材骨料销售,节约后续工序的生产成本,减少了尾矿库矿量,延长了尾矿库的服务年限。智能预选抛废技术在水口山铅锌金银多金属矿选矿中的成功应用,是该技术... 为了节能降耗,减少尾矿量,水口山选厂通过智能预选抛废,提前抛出一部分废石作为建材骨料销售,节约后续工序的生产成本,减少了尾矿库矿量,延长了尾矿库的服务年限。智能预选抛废技术在水口山铅锌金银多金属矿选矿中的成功应用,是该技术首次应用于国内铅锌矿山的实际生产中,将成为水口山新建80万t选矿厂的技术支撑,也为国内同类矿山应用预选抛废技术提供了重要参考。 展开更多
关键词 铅锌金银矿 多金属矿 预选抛废 节能降耗 生产实践
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Spatio-temporal patterns of temperature extremes and their response to atmospheric circulation factors in China from 1961 to 2020
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作者 LUO Yuanbo ZHOU Yuke ZHOU Chenghu 《Journal of Geographical Sciences》 SCIE 2024年第10期1883-1903,共21页
Changes in surface temperature extremes have become a global concern.Based on the daily lowest temperature(TN)and daily highest temperature(TX)data from 2138weather stations in China from 1961 to 2020,we calculated 14... Changes in surface temperature extremes have become a global concern.Based on the daily lowest temperature(TN)and daily highest temperature(TX)data from 2138weather stations in China from 1961 to 2020,we calculated 14 extreme temperature indices to analyze the characteristics of extreme temperature events.The widespread changes observed in all extreme temperature indices suggest that China experienced significant warming during this period.Specifically,the cold extreme indices,such as cold nights,cold days,frost days,icing days,and the cold spell duration index,decreased significantly by-6.64,-2.67,-2.96,-0.97,and-1.01 days/decade,respectively.In contrast,we observed significant increases in warm extreme indices.The number of warm nights,warm days,summer days,tropical nights,and warm spell duration index increased by 8.44,5.18,2.81,2.50,and 1.66d/decade,respectively.In addition,the lowest TN,highest TN,lowest TX,and highest TX over the entire period rose by 0.47,0.22,0.26,and 0.16℃/decade,respectively.Furthermore,using Pearson's correlation and wavelet coherence analyses,this study identified a strong association between extreme temperature indices and atmospheric circulation factors,with varying correlation strengths and resonance periods across different time-frequency domains. 展开更多
关键词 temperature changes global warming atmospheric circulation wavelet coherence analysis China
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