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Spatial heterogeneity of urban soils:the case of the Beijing metropolitan region,China

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Ecological Processes 2014年第1期3卷 20-30页

作者： Qizheng Mao ganlin Huang Alexander Buyantuev Jianguo Wu Shanghua Luo Keming Ma Center for Human-Environment System Sustainability(CHESS) State Key Laboratory of Earth Surface Processes and Resource Ecology(ESPRE)Beijing Normal UniversityBeijing 100875China Geography and Planning University at AlbanyState University of New YorkAlbanyNY 12222USA School of Life Sciences and Global Institute of Sustainability Arizona State UniversityTempeAZ 85287USA Chinese Research Academy of Environmental Sciences Beijing 100012China State Key Laboratory of Urban&Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085P.R.China

Introduction:Urban soils are large pools of carbon,nitrogen,and other elements,supporting plant growth,sustaining biogeochemical cycles,and serving as the foundation for maintaining ecosystem function and services of urban green spaces(UGS).Quantifying urban soil properties is essential for assessing urban ecosystem services and detecting *** spatial heterogeneity of urban soil properties,which may change with land use or urbanization,is crucial for understanding urban ecosystem ***:We collected 466 soil composite samples across the Beijing metropolitan region and then analyzed the heterogeneity of soil properties in UGS of Beijing metropolitan region by ANOVA along the urbanization gradient spanning different land ***:Our results show that soil properties vary considerably among land-use types and along the urban-rural *** moisture content,soil organic carbon(SOC),available phosphorus,available potassium,total nitrogen(TN),the ratio of SOC:TN(C/N),Pb,and Cu increased notably from suburbs to the urban core,while soil pH,bulk density,TN,Cr,Ni,and Mn were not significantly different across urbanization *** soil properties,except soil TN,Cu,Cr,Ni,exhibited significant differences between different land *** highest levels of soil nutrients and heavy metals were found in roadsides and residential areas among all the land ***:The spatial heterogeneity of urban soils in the Beijing metropolitan region is mainly attributable to the different land *** nutrient content has increased in UGS due to fertilization and *** of urban soils by heavy metals is due largely to traffic emissions and pollution by industrial and household *** human activities tend to augment urban soil nutrient pools to maximize certain ecosystem services,they may inadvertently compromise these and other services by increasing *** of urban soil spatial heterogeneity in UGS i

关键词： Urbanization Urban green spaces Soil properties Land use Urban ecology Beijing

A multi-sensor-system cooperative scheduling method for ground area detection and target tracking

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Frontiers of Information Technology & Electronic Engineering 2023年第2期24卷 245-258页

作者： Yunpu ZHANG Qiang FU ganlin SHAN Department of Electronic and Optical Engineering Shijiazhuang CampusArmy Engineering UniversityShijiazhuang050003China

A multi-sensor-system cooperative scheduling method for multi-task collaboration is proposed in this *** studied the method for application in ground area detection and target *** aim of sensor scheduling is to select the optimal sensors to complete the assigned combat tasks and obtain the best combat ***,an area detection model was built,and the method of calculating the detection risk was proposed to quantify the detection benefits in ***,combining the information on road constraints and the Doppler blind zone,a ground target tracking model was established,in which the posterior Carmér-Rao lower bound was applied to evaluate future tracking ***,an objective function was developed which considers the requirements of detection,tracking,and energy consumption *** solving the objective function,the optimal sensor-scheduling scheme can be *** results showed that the proposed sensor-scheduling method can select suitable sensors to complete the required combat tasks,and provide good performance in terms of area detection,target tracking,and energy consumption control.

关键词： Sensor scheduling Area detection Target tracking Road constraints Doppler blind zone

Mapping Soil Organic Carbon Stocks of Northeastern China Using Expert Knowledge and GIS-based Methods

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Chinese Geographical Science 2017年第4期27卷 516-528页

作者： SONG Xiaodong LIU Feng JU Bing ZHI Junjun LI Decheng ZHAO Yuguo ZHANG ganlin State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China

The main aim of this paper was to calculate soil organic carbon stock(SOCS) with consideration of the pedogenetic horizons using expert knowledge and GIS-based methods in northeastern China.A novel prediction process was presented and was referred to as model-then-calculate with respect to the variable thicknesses of soil horizons(MCV).The model-then-calculate with fixed-thickness(MCF),soil profile statistics(SPS),pedological professional knowledge-based(PKB) and vegetation type-based(Veg) methods were carried out for *** respect to the similar pedological information,nine common layers from topsoil to bedrock were grouped in the *** results suggested that the MCV method generated better performance than the other methods *** the comparison of polygon based approaches,the Veg method generated better accuracy than both SPS and PKB,as limited soil data were *** prediction of the pedogenetic horizons within MCV benefitted the regional SOCS estimation and provided information for future soil classification and understanding of soil *** intermediate product,that is,horizon thickness maps were fluctuant enough and reflected many details in *** linear mixed model indicated that mean annual air temperature(MAAT) was the most important predictor for the SOCS *** minimal residual of the linear mixed models was achieved in the vegetation type-based model,whereas the maximal residual was fitted in the soil type-based *** 95% of SOCS could be found in Argosols,Cambosols and *** largest SOCS was found in the croplands with vegetation of Triticum aestivum L.,Sorghum bicolor(L.) Moench,Glycine max(L.) Merr.,Zea mays *** Setaria italica(L.) ***.

关键词： soil organic carbon stock model-then-calculate random forest linear mixed model northeastern China

45份糯高粱种质资源主要农艺性状和SSR标记的遗传多样性分析

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作物杂志 2024年第1期 57-64页

作者：孙远涛龙文靖李元刘天朋赵甘霖丁国祥倪先林四川省农业科学院水稻高粱研究所四川德阳618000 国家高粱改良中心四川分中心四川泸州646000

糯高粱是酿造优质白酒的重要原料,为挖掘优异糯高粱资源材料,对45份不同来源的糯高粱种质资源10个主要农艺性状进行了分析,并用40对SSR引物解析糯高粱的遗传变异。结果表明,10个农艺性状的变化幅度、变异系数和遗传多样性指数均较大,42... 详细信息

糯高粱是酿造优质白酒的重要原料,为挖掘优异糯高粱资源材料,对45份不同来源的糯高粱种质资源10个主要农艺性状进行了分析,并用40对SSR引物解析糯高粱的遗传变异。结果表明,10个农艺性状的变化幅度、变异系数和遗传多样性指数均较大,42.2%的农艺性状间呈极显著相关性;40对SSR引物共检测到98个等位基因,多态信息含量变幅为0.044~0.690,其Shannon指数分布范围为0.1105~1.3626,遗传相似系数范围为0.235~0.980。结果表明本研究的45份糯高粱资源具有较为丰富的遗传多样性。基于主要农艺性状和SSR分子标记的UPGMA聚类分析分别将45份糯高粱资源划分为6大类和4大类。2种方法的聚类结果一致性较差,但可互为补充。研究结果为糯高粱种质资源的创新和新品种培育提供了理论参考,同时筛选出了一批优异的糯高粱资源材料。

关键词：糯高粱种质资源主要农艺性状 SSR分子标记遗传多样性分析

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中医药临床优势病种探讨——肺结节

中国实验方剂学杂志 2024年第6期30卷 238-245页

作者：于明薇张怀锐张兴涵李肖王仁贵龙志强王臻庞博霍健伟陈薇祝勇刘宝利娄彦妮张甘霖念家云莫美张霄潇杨国旺首都医科大学附属北京中医医院北京100010 北京中医药大学北京100029 中国医学科学院肿瘤医院北京100021 首都医科大学附属北京世纪坛医院北京100038 北京大学第一医院北京100034 首都医科大学附属北京朝阳医院北京100027 中国中医科学院广安门医院北京100053 中日友好医院北京100029 创新中药关键技术国家重点实验室天津300410 中华中医药学会北京100029

近年来,肺结节的发病率逐年上升,为充分发挥中医药在肺结节领域的疗效优势,明确中西医结合切入点,进一步规范肺结节临床诊疗,中华中医药学会组织中、西医专家围绕肺结节的现代医学认识进展、中医病因病机治法各家学说、中医药参与肺结... 详细信息

近年来,肺结节的发病率逐年上升,为充分发挥中医药在肺结节领域的疗效优势,明确中西医结合切入点,进一步规范肺结节临床诊疗,中华中医药学会组织中、西医专家围绕肺结节的现代医学认识进展、中医病因病机治法各家学说、中医药参与肺结节全程管理的作用与优势、肺结节科学研究的内容与方法及肺结节科普工作等进行深入探讨,为临床诊疗实践和科学研究提供参考依据和有益借鉴。与会专家讨论后认为,肺结节的病因多考虑为虚实夹杂,虚证责之肺脾,实证多为痰湿、血瘀、气滞。中医药治疗肺结节作用包括对部分患者局部结节的控制、缩小;对体质的改善;对多系统结节性疾病的改善;减少焦虑情绪及过度诊断治疗;作为不愿意、不适合接受手术治疗患者的替代方案。目前,肺结节最佳诊疗策略尚未形成,需要从临床流行病学、生物学和循证医学等不同角度深入探讨研究。找到中医药干预肺结节的优势环节、有效方药、明确目标人群和确定有效结局是目前研究的首要任务,同时应积极开展基础研究,对肺结节病因、生物学行为进行深入探讨。中西医结合肺癌诊疗专家共识需不断修订完善,指导临床医生规范、科学、精准地进行有效诊疗管理。

关键词：肺结节优势病种中西医结合中医药创新专家指导建议

Mapping Soil Texture Based on Field Soil Moisture Observations at a High Temporal Resolution in an Oasis Agricultural Area

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Pedosphere 2016年第5期26卷 699-708页

作者： YANG Renmin LIU Feng ZHANG ganlin ZHAO Yuguo LI Decheng YANG Jinling YANG Fei YANG Fan State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008(China) University of Chinese Academy of Sciences Beijing 100049(China)

Due to the almost homogeneous topography in low relief areas, it is usually difficult to make accurate predictions of soil properties using topographic covariates. In this study, we examined how time series of field soil moisture observations can be used to estimate soil texture in an oasis agricultural area with low relief in the semi-arid region of northwest China. Time series of field-observed soil moisture variations were recorded for 132 h beginning at the end of an irrigation event during which the surface soil was *** correlation between two time-adjacent soil moisture conditions was used to select the factors for fuzzy c-means clustering. In each of the ten generated clusters, soil texture of the soil sample with the maximum fuzzy membership value was taken as the cluster centroid. Finally, a linearly weighted average was used to predict soil texture from the centroids. The results showed that soil moisture increased with the increase of clay and silt contents, but decreased with the increase of sand content. The spatial patterns of soil moisture changed during the entire soil drying phase. We assumed that these changes were mainly caused by spatial heterogeneity of soil texture. A total of 64 independent samples were used to evaluate the prediction accuracy. The root mean square error(RMSE)values of clay, silt and sand were 1.63, 2.81 and 3.71, respectively. The mean relative error(RE) values were 9.57% for clay, 3.77% for silt and 12.83% for sand. It could be concluded that the method used in this study was effective for soil texture mapping in the low-relief oasis agricultural area and could be applicable in other similar irrigation agricultural areas.

关键词： digital soil mapping fuzzy c-means clustering low relief particle-size distribution semi-arid region water content

新疆吐鲁番发现的传统纺织品上树纹99装饰艺术源流考论

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上海视觉 2024年第1期 41-47页

作者：李晓单海兰马金辉程甘霖张潇娟西安美术学院西安710000 敦煌研究院美术研究所甘肃736200

新疆吐鲁番阿斯塔那墓发现的北朝至初唐时期的几面“树纹”纺织品织锦,其上复杂的纹样装饰渊源,学界至今没有厘清。文章以考古遗存和图像为主,结合文献资料,对“树纹”造型特征进行分析,尝试解释其纹饰含义,对其艺术源流进行考证。发现... 详细信息

新疆吐鲁番阿斯塔那墓发现的北朝至初唐时期的几面“树纹”纺织品织锦,其上复杂的纹样装饰渊源,学界至今没有厘清。文章以考古遗存和图像为主,结合文献资料,对“树纹”造型特征进行分析,尝试解释其纹饰含义,对其艺术源流进行考证。发现,在两河流域,生命树纹装饰对帝国意识形态的重要性,主要体现在皇家服装、珠宝、官方印章以及壁画、宫殿雕塑上,而吐鲁番“树纹”结以动物或人物造型装饰,与其有着莫大的渊源。本文研究表明,此种艺术母题源于两河流域,之后传播到北方斯基泰艺术中,经斯基泰民族吸收与再造后,又受波斯文化影响、传递,最终融入中国艺术中,并在初唐时期,此种艺术风格样式发展到顶峰。而吐鲁番出土的织锦联珠花树对兽纹佐证了这一观点,其中“三”瓣与“七”瓣树纹装饰,一方面保持着传统神秘数的象征意义,一方面蕴含着原始宗教观念和后出的宗教思想,其内涵颇为丰富。

关键词：吐鲁番 “树纹”织锦艺术源流两河流域宗教哲理

2019—2022年苏州市高新区学校结核病流行病学特征分析及基于ARIMA模型的趋势预测

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职业与健康 2024年第13期40卷 1810-1814页

作者：朱干霖徐青郭锋胡燕红李金方苏州高新区疾病预防控制中心传染病防制科江苏苏州215000

目的探讨苏州市高新区学校结核病流行病学特征,构建ARIMA模型预测短期发病风险,完善学校疫情监测布局及控制策略。方法基于中国疾病预防控制信息系统收集2019—2022年苏州市高新区学校结核病疫情资料,进行回顾性分析及趋势预测。结果201... 详细信息

目的探讨苏州市高新区学校结核病流行病学特征,构建ARIMA模型预测短期发病风险,完善学校疫情监测布局及控制策略。方法基于中国疾病预防控制信息系统收集2019—2022年苏州市高新区学校结核病疫情资料,进行回顾性分析及趋势预测。结果2019—2022年苏州市高新区报告学生肺结核病例95例,聚集性疫情2起、散发疫情79起,年报告发病率为8.88/10万~27.91/10万;病例高发学段为大专院校、大学,高发时间集中于第3季度,占39.00%,男女患病比例为1.64∶1,因症就诊来源居多,占42.11%。筛查密接者3803名,结核菌素皮肤(purified protein derivatives,PPD)试验强阳率为10.70%,聚集性疫情病例班级PPD强阳率高于扩大筛查班级及散发疫情(χ^(2)=30.553,P<0.05);潜伏感染者预防性服药率逐年上升。ARIMA模型预测2023年大专院校、大学类学校季度发病率依次为1.42/10万、2.98/10万、6.10/10万、3.74/10万。结论学生肺结核潜伏感染及发病风险较高,应准确识别密接者及一般接触者,逐级扩大筛查对象,对潜伏感染者采取有效预防措施,科学预警,遏制学校结核病的蔓延。

关键词：学生结核肺流行特征 ARIMA模型

Regional Soil Mapping Using Multi-Grade Representative Sampling and a Fuzzy Membership-Based Mapping Approach

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Pedosphere 2017年第2期27卷 344-357页

作者： YANG Lin A-Xing ZHU ZHAO Yuguo LI Decheng ZHANG ganlin ZHANG Shujie Lawrence E. BAND State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences Nanjing 210008 (China) State Key Laboratory of Resources and Environment Information System Institute of Geographical Sciences and Resources Research Chinese Academy of Sciences Beijing 100101 (China) Key Laboratory of Virtual Geographic Environment (Nanjing Normal University) Ministry of Education Nanjing 210023 (China) Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application School of Geography Nanjing Normal University Nanjing 210023 (China) State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province) Nanjing 210023 (China) Department of Geography University of Wisconsin-Madison Madison WI 53706 (USA) China Academy of Urban Planning & Design Beijing 100037 (China) Institute for the Environment University of North Carolina Chapel Hill Chapel Hill NC 27599 (USA)

High-resolution and detailed regional soil spatial distribution information is increasingly needed for ecological modeling and land resource management. For areas with no point data, regional soil mapping includes two steps： soil sampling and soil mapping. Because sampling over a large area is costly, efficient sampling strategies are required. A multi-grade representative sampling strategy, which designs a small number of representative samples with different representative grades to depict soil spatial variations at different scales, could be a potentially efficient sampling strategy for regional soil mapping. Additionally, a suitable soil mapping approach is needed to map regional soil variations based on a small number of samples. In this study, the multi-grade representative sampling strategy was applied and a fuzzy membership-weighted soil mapping approach was developed to map soil sand percentage and soil organic carbon （SOC） at 0-20 and 20-40 cm depths in a study area of 5 900 km2 in Anhui Province of China. First, geographical sub-areas were delineated using a parent lithology data layer. Next, fuzzy c-means clustering was applied to two climate and four terrain variables in each stratum. The clustering results （environmental cluster chains） were used to locate representative samples. Evaluations based on an independent validation sample set showed that the addition of samples with lower representativeness generally led to a decrease of root mean square error （RMSE）. The declining rates of RMSE with the addition of samples slowed down for 20-40 cm depth, but fluctuated for 0-20 cm depth. The predicted SOC maps based on the representative samples exhibited higher accuracy, especially for soil depth 20-40 cm, as compared to those based on legacy soil data. Multi-grade representative sampling could be an effective sampling strategy at a regional scale. This sampling strategy, combined with the fuzzy membership-based mapping approach, could be an optional effec

关键词： fuzzy clustering parent lithology representative grade samphng strategy soil spatial variations