【目的】比较新一代高通量测序与传统的变性梯度凝胶电泳(Denaturing Gradient Gel Electrophoresis,DGGE)指纹图谱技术,评价两种技术研究土壤微生物群落结构的优缺点。【方法】针对新西兰典型草地和森林土壤,以16S rRNA基因为标靶,通...【目的】比较新一代高通量测序与传统的变性梯度凝胶电泳(Denaturing Gradient Gel Electrophoresis,DGGE)指纹图谱技术,评价两种技术研究土壤微生物群落结构的优缺点。【方法】针对新西兰典型草地和森林土壤,以16S rRNA基因为标靶,通过高通量测序和DGGE技术分析土壤微生物群落的组成、丰度和多样性,比较两种方法在土壤微生物研究中的适用性。【结果】在不同的微生物分类水平,高通量测序草地土壤检测到22门,54纲,60目,131科,350属;而DGGE仅检测到6门,9纲,8目,10科,10属,表明DGGE显著低估了土壤微生物的群落组成。森林土壤也得到了类似规律,高通量测序的检测灵敏度是DGGE的3.8、6.7、6.4、19.2及39.4倍。进一步分析土壤中主要微生物类群的相对丰度,发现分类水平越低,高通量测序与DGGE的结果差异越大,尤其在科和属的水平上差异最大。以高通量测序结果为标准,DGGE明显高估了土壤中大多数微生物类群的相对丰度,最高可达2000倍。两种方法都表明草地土壤的多样性指数高于森林土壤,但DGGE多样性指数的绝对值远低于高通量测序结果。【结论】高通量测序能够较为全面和准确的反映土壤微生物群落结构,而DGGE仅能够反映有限的优势微生物类群,在很大程度上极可能低估土壤微生物的物种组成并高估其丰度。展开更多
利用数学形态学滤波器结合传统的时差法,实现了一种适用于差动保护的电流互感器饱和闭锁方案。由于数学形态学滤波器具有极佳的奇异点识别能力和噪声抑制能力,使得故障的发生和产生差流浪涌之间的时间差能通过多分辨率形态梯度进行实时...利用数学形态学滤波器结合传统的时差法,实现了一种适用于差动保护的电流互感器饱和闭锁方案。由于数学形态学滤波器具有极佳的奇异点识别能力和噪声抑制能力,使得故障的发生和产生差流浪涌之间的时间差能通过多分辨率形态梯度进行实时、高精度的提取。因此,在 TA 饱和的情况下,通过合理设定该时间差的门槛值,外部故障和任何内部故障均可做到明显的区分。RTDS 仿真结果表明,该方案可有效地防止因大穿越电流引起的电流互感器饱和而造成的差动保护误动,同时可保证对于内部故障的快速反应。展开更多
Human activity and urbanization result in urban-rural environmental gradients. Understanding effect of the gradients on soil properties is necessary for management of the soils around urban areas. In this study, soil ...Human activity and urbanization result in urban-rural environmental gradients. Understanding effect of the gradients on soil properties is necessary for management of the soils around urban areas. In this study, soil quality of some vegetable fields was characterized along an urban-rural gradient in Shaoxing County, Zhejiang Province. Fifteen soil physical and chemical properties were evaluated by using principal component analysis.Results showed that there was a great variation in the soil quality along the gradient. From rural to urban zones, soil organic matter, water-stable aggregates, cation exchangeable capacity (CEC), total N and P, and available K increased, whereas soil pH value decreased. In addition, Pb, Cu, Ni, Co, Zn and Cr in the soils tended to be accumulated toward the urban zone. Sequential chemical extraction showed that mobility of all the heavy metals in the soils tended to increase from the rural to the urban zones. The variation of soil properties accounted for by the first principal component was significantly explained by the difference in application rates of municipal wastes.展开更多
Accurate assessment of undrained shear strength(USS)for soft sensitive clays is a great concern in geotechnical engineering practice.This study applies novel data-driven extreme gradient boosting(XGBoost)and random fo...Accurate assessment of undrained shear strength(USS)for soft sensitive clays is a great concern in geotechnical engineering practice.This study applies novel data-driven extreme gradient boosting(XGBoost)and random forest(RF)ensemble learning methods for capturing the relationships between the USS and various basic soil parameters.Based on the soil data sets from TC304 database,a general approach is developed to predict the USS of soft clays using the two machine learning methods above,where five feature variables including the preconsolidation stress(PS),vertical effective stress(VES),liquid limit(LL),plastic limit(PL)and natural water content(W)are adopted.To reduce the dependence on the rule of thumb and inefficient brute-force search,the Bayesian optimization method is applied to determine the appropriate model hyper-parameters of both XGBoost and RF.The developed models are comprehensively compared with three comparison machine learning methods and two transformation models with respect to predictive accuracy and robustness under 5-fold cross-validation(CV).It is shown that XGBoost-based and RF-based methods outperform these approaches.Besides,the XGBoostbased model provides feature importance ranks,which makes it a promising tool in the prediction of geotechnical parameters and enhances the interpretability of model.展开更多
The analyzing data on stratigraphic temperature measurement , thermal conductivity of the strata and radioactive heat production rate show that the present average geothermal gradient in the Ordos Basin is 2.93℃/100 ...The analyzing data on stratigraphic temperature measurement , thermal conductivity of the strata and radioactive heat production rate show that the present average geothermal gradient in the Ordos Basin is 2.93℃/100 m, and the average heat flow value is 61.78 mW/m2, which belongs to the mesothermal basin, and the value of the present geothermal gradient and heat flow in the east is higher than that in the west. The sandstone radioactive heat production rate of Zhiluo Group in Dongsheng Uranium deposits of Yimeng uplift is obviously higher in the mudstone, indicating that there exists a uranium anomaly. Based on studies of the present thermal field of the basin, the late-Mesozoic paleotemperature and paleogeothermal gradient are determined by using different kinds of paleotemperature methods. According to the anomaly of the late-Mesozoic paleotemperature gradient and magmatic event age, there was a tectonic thermal event in the early Cretaceous epoch of late-Mesozoic. This article rebuilds tectonic thermal history of different tectonic units by thermal history simulation using basin simulating software. The evolution of oil-gas and coal, and accumulation (mineralization) of mineral uranium are all controlled by the tectonic thermal history in the Ordos basin, especially by the tectonic thermal event that happened in the late Mesozoic. For both the gas source rocks of upper Paleozoic group and lower paleozoic group, the gas was largely generated in the early Cretaceous epoch of the late Mesozoic. The main petroleum generation period for Yanchang Group in Triassic system is the early Cretaceous epoch too, and the highest thermal maturity of the coal of Permo-Carboniferous, Triassic, and Jurassic reaches is the early Cretaceous epoch also. Early Cretaceous epoch is still one of the most important mineralizing periods of uranium.展开更多
文摘【目的】比较新一代高通量测序与传统的变性梯度凝胶电泳(Denaturing Gradient Gel Electrophoresis,DGGE)指纹图谱技术,评价两种技术研究土壤微生物群落结构的优缺点。【方法】针对新西兰典型草地和森林土壤,以16S rRNA基因为标靶,通过高通量测序和DGGE技术分析土壤微生物群落的组成、丰度和多样性,比较两种方法在土壤微生物研究中的适用性。【结果】在不同的微生物分类水平,高通量测序草地土壤检测到22门,54纲,60目,131科,350属;而DGGE仅检测到6门,9纲,8目,10科,10属,表明DGGE显著低估了土壤微生物的群落组成。森林土壤也得到了类似规律,高通量测序的检测灵敏度是DGGE的3.8、6.7、6.4、19.2及39.4倍。进一步分析土壤中主要微生物类群的相对丰度,发现分类水平越低,高通量测序与DGGE的结果差异越大,尤其在科和属的水平上差异最大。以高通量测序结果为标准,DGGE明显高估了土壤中大多数微生物类群的相对丰度,最高可达2000倍。两种方法都表明草地土壤的多样性指数高于森林土壤,但DGGE多样性指数的绝对值远低于高通量测序结果。【结论】高通量测序能够较为全面和准确的反映土壤微生物群落结构,而DGGE仅能够反映有限的优势微生物类群,在很大程度上极可能低估土壤微生物的物种组成并高估其丰度。
文摘利用数学形态学滤波器结合传统的时差法,实现了一种适用于差动保护的电流互感器饱和闭锁方案。由于数学形态学滤波器具有极佳的奇异点识别能力和噪声抑制能力,使得故障的发生和产生差流浪涌之间的时间差能通过多分辨率形态梯度进行实时、高精度的提取。因此,在 TA 饱和的情况下,通过合理设定该时间差的门槛值,外部故障和任何内部故障均可做到明显的区分。RTDS 仿真结果表明,该方案可有效地防止因大穿越电流引起的电流互感器饱和而造成的差动保护误动,同时可保证对于内部故障的快速反应。
基金Project supported by the National Key Basic Research Support Foundation (NKBRSF) of China (No. 1999011809).
文摘Human activity and urbanization result in urban-rural environmental gradients. Understanding effect of the gradients on soil properties is necessary for management of the soils around urban areas. In this study, soil quality of some vegetable fields was characterized along an urban-rural gradient in Shaoxing County, Zhejiang Province. Fifteen soil physical and chemical properties were evaluated by using principal component analysis.Results showed that there was a great variation in the soil quality along the gradient. From rural to urban zones, soil organic matter, water-stable aggregates, cation exchangeable capacity (CEC), total N and P, and available K increased, whereas soil pH value decreased. In addition, Pb, Cu, Ni, Co, Zn and Cr in the soils tended to be accumulated toward the urban zone. Sequential chemical extraction showed that mobility of all the heavy metals in the soils tended to increase from the rural to the urban zones. The variation of soil properties accounted for by the first principal component was significantly explained by the difference in application rates of municipal wastes.
基金financial support from High-end Foreign Expert Introduction program(No.G20190022002)Chongqing Construction Science and Technology Plan Project(2019-0045)as well as Chongqing Engineering Research Center of Disaster Prevention&Control for Banks and Structures in Three Gorges Reservoir Area(Nos.SXAPGC18ZD01 and SXAPGC18YB03)。
文摘Accurate assessment of undrained shear strength(USS)for soft sensitive clays is a great concern in geotechnical engineering practice.This study applies novel data-driven extreme gradient boosting(XGBoost)and random forest(RF)ensemble learning methods for capturing the relationships between the USS and various basic soil parameters.Based on the soil data sets from TC304 database,a general approach is developed to predict the USS of soft clays using the two machine learning methods above,where five feature variables including the preconsolidation stress(PS),vertical effective stress(VES),liquid limit(LL),plastic limit(PL)and natural water content(W)are adopted.To reduce the dependence on the rule of thumb and inefficient brute-force search,the Bayesian optimization method is applied to determine the appropriate model hyper-parameters of both XGBoost and RF.The developed models are comprehensively compared with three comparison machine learning methods and two transformation models with respect to predictive accuracy and robustness under 5-fold cross-validation(CV).It is shown that XGBoost-based and RF-based methods outperform these approaches.Besides,the XGBoostbased model provides feature importance ranks,which makes it a promising tool in the prediction of geotechnical parameters and enhances the interpretability of model.
文摘The analyzing data on stratigraphic temperature measurement , thermal conductivity of the strata and radioactive heat production rate show that the present average geothermal gradient in the Ordos Basin is 2.93℃/100 m, and the average heat flow value is 61.78 mW/m2, which belongs to the mesothermal basin, and the value of the present geothermal gradient and heat flow in the east is higher than that in the west. The sandstone radioactive heat production rate of Zhiluo Group in Dongsheng Uranium deposits of Yimeng uplift is obviously higher in the mudstone, indicating that there exists a uranium anomaly. Based on studies of the present thermal field of the basin, the late-Mesozoic paleotemperature and paleogeothermal gradient are determined by using different kinds of paleotemperature methods. According to the anomaly of the late-Mesozoic paleotemperature gradient and magmatic event age, there was a tectonic thermal event in the early Cretaceous epoch of late-Mesozoic. This article rebuilds tectonic thermal history of different tectonic units by thermal history simulation using basin simulating software. The evolution of oil-gas and coal, and accumulation (mineralization) of mineral uranium are all controlled by the tectonic thermal history in the Ordos basin, especially by the tectonic thermal event that happened in the late Mesozoic. For both the gas source rocks of upper Paleozoic group and lower paleozoic group, the gas was largely generated in the early Cretaceous epoch of the late Mesozoic. The main petroleum generation period for Yanchang Group in Triassic system is the early Cretaceous epoch too, and the highest thermal maturity of the coal of Permo-Carboniferous, Triassic, and Jurassic reaches is the early Cretaceous epoch also. Early Cretaceous epoch is still one of the most important mineralizing periods of uranium.
