Simulation of leaf area index and biomass at landscape scale

The method for simulating the temporal and spatial distribution patterns of leaf area index (LAI) and biomass at landscape scale using remote sensing images and surface data was discussed in this paper. The procedure was: (1) annual maximum normalized difference vegetation index (NDVI) over the landscape was calculated from TM images; (2) the relationship model between NDVI and LAI was built and annual maximum LAI over the landscape was simulated; (3) the relationship models between LAI and biomass were built and annual branch, stem, root and maximum leaf biomass over the landscape were simulated; (4) spatial distribution patterns of leaf biomass and LAI in different periods all the year round were obtained. The simulation was based on spatial analysis module GRID in ArcInfo software. The method is also a kind of scaling method from patch scale to landscape scale. A case study of Changbai Mountain Nature Reserve was dissertated. Analysis and primary validation were carried out to the simulated LAI and biomass for the major vegetation types in the Changbai Mountain in 1995.

Index-based assessment of agricultural drought in a semi-arid region of Inner Mongolia, China

Agricultural drought is a type of natural disaster that seriously impacts food security.Because the relationships among short-term rainfall,soil moisture,and crop growth are complex,accurate identification of a drought situation is difficult.In this study,using a conceptual model based on the relationship between water deficit and crop yield reduction,we evaluated the drought process in a typical rainfed agricultural region,Hailar county in Inner Mongolia autonomous region,China.To quantify drought,we used the precipitation-based Standardized Precipitation Index(SPI),the soil moisture-based Crop Moisture Index(CMI),as well as the Normalized Difference Vegetation Index(NDVI).Correlation analysis was conducted to examine the relationships between dekad-scale drought indices during the growing season(May–September)and final yield,according to data collection from 2000 to 2010.The results show that crop yield has positive relationships with CMI from mid-June to mid-July and with the NDVI anomaly throughout July,but no correlation with SPI.Further analysis of the relationship between the two drought indices shows that the NDVI anomaly responds to CMI with a lag of 1 dekad,particularly in July.To examine the feasibility of employing these indices for monitoring the drought process at a dekad time scale,a detailed drought assessment was carried out for selected drought years.The results confirm that the soil moisture-based vegetation indices in the late vegetative to early reproductive growth stages can be used to detect agricultural drought in the study area.Therefore,the framework of the conceptual model developed for drought monitoring can be employed to support drought mitigation in the rainfed agricultural region of Northern China.

Quantifying forest structural diversity based on large-scale inventory data:a new approach to support biodiversity monitoring

Background: The importance of structurally diverse forests for the conservation of biodiversity and provision of a wide range of ecosystem services has been widely recognised. However, tools to quantify structural diversity of forests in an objective and quantitative way across many forest types and sites are still needed, for example to support biodiversity monitoring. The existing approaches to quantify forest structural diversity are based on small geographical regions or single forest types, typically using only small data sets.Results: Here we developed an index of structural diversity based on National Forest Inventory(NFI) data of BadenWurttemberg, Germany, a state with 1.3 million ha of diverse forest types in different ownerships. Based on a literature review, 11 aspects of structural diversity were identified a priori as crucially important to describe structural diversity. An initial comprehensive list of 52 variables derived from National Forest Inventory(NFI) data related to structural diversity was reduced by applying five selection criteria to arrive at one variable for each aspect of structural diversity. These variables comprise 1) quadratic mean diameter at breast height(DBH), 2) standard deviation of DBH, 3) standard deviation of stand height, 4) number of decay classes, 5) bark-diversity index, 6) trees with DBH ≥ 40 cm, 7) diversity of flowering and fructification, 8) average mean diameter of downed deadwood, 9) mean DBH of standing deadwood, 10) tree species richness and 11) tree species richness in the regeneration layer. These variables were combined into a simple,additive index to quantify the level of structural diversity, which assumes values between 0 and 1. We applied this index in an exemplary way to broad forest categories and ownerships to assess its feasibility to analyse structural diversity in large-scale forest inventories.Conclusions: The forest structure index presented here can be derived in a similar way from standard inventory variables for most other large-scale forest inventories to provide important information about biodiversity relevant forest conditions and thus provide an evidence-base for forest management and planning as well as reporting.

Evaluation of Broadleaf Tree Diversity at the Basin Scale—In Case of Artificial <i>Chamaecyparis obtusa</i>Forests

In recent years, the various functions required of forests, especially the conservation of biodiversity, have been attracting increasing attention in Japan and worldwide. In Japan, 67% of national land is covered by forest, 41% of which is artificial forest (i.e., plantations). Therefore, forest biodiversity conservation efforts should also target artificial forests. In this paper, we seek to promote sustainable forest management that considers biodiversity conservation by examining indices that can be used by forest managers to evaluate the diversity of broadleaf trees. The result was that evaluation of broadleaf tree diversity in artificial forests at a basin scale was possible by combining several types of indicators.

MULTITASK SCHEDULING IN NETWORKED CONTROL SYSTEMS WITH APPLICATION TO LARGE SCALE VEHICLE CONTROL

Aiming at scheduling problems of networked control system （NCS） used to fulfill motion synthesis and cooperation control of the distributed multi-mechatronic systems, the differences of network scheduling and task scheduling are compared, and the mathematic description of task scheduling is presented. A performance index function of task scheduling of NCS according to task balance and traffic load matching principles is defined. According to this index, a static scheduling method is designed and implemented to controlling task set simulation of the DCY100 transportation vehicle. The simulation results are applied successfully to practical engineering in this case so as to validate the effectiveness of the proposed performance index and scheduling algorithm.

The Influence of Time Scale on the Quantitative Study of Soil and Water Conservation Effect of Grassland

Quantitative analysis of time scale effects is conducive to further understanding of vegetation water and soil conservation mechanism.Based on the observation data of the grass covered and bare soil( control) experimental plots located in Hetian Town,Changting County of Fujian Province from 2007 to 2010,the characteristics of 4 parameters( precipitation,vegetation,RE and SE) were analyzed at precipitation event,month,season,and annual scales,and then the linear regression models were established to describe the relationships between RE( SE)and its influencing factors of precipitation and vegetation. RE( SE) means the ratio of runoff depth( soil loss) of grass covered plot to that of the control plot. Results show that these 4 parameters presented different magnitude and variation on different time scales. RE and SE were relatively stable either within or among different time scales due to their ratios reducing the influence of other factors. The coupling of precipitation and vegetation led to better water conservation effect at lower RE( < 0. 3) at precipitation event scale as well as at season scale,while the water conservation effect was dominated by precipitation at slightly higher( 0. 3- 0. 4) and higher( > 0. 7) REs at precipitation event scale as well as at annual scale( R2> 0. 78). For the soil conservation effect,precipitation or / and vegetation was / were the dominated influence factor( s) at precipitation event and annual scales,and the grass LAI could basically describe the positive conservation effect( SE <1,R2> 0. 55),while the maximum 30 min intensity( I30) could describe the negative conservation effect more accurately( SE >1,R2> 0. 79). More uncertainties( R2≈0. 4) exist in the models of both RE and SE at two moderate time scales( month and season). Consequently,factors influencing water and soil conservation effect of grass present different variation and coupling characteristics on different time scales,indicating the importance of time scale at the study on water and soil conservation.

针刺联合艾灸治疗急性期周围性面瘫的疗效观察

目的 观察针刺联合艾灸治疗急性期周围性面瘫的临床疗效。方法 将60例急性期周围性面瘫患者随机分为治疗组和对照组,每组30例。对照组采用针刺联合药物治疗,治疗组在此基础上采用按摩灸治疗。观察两组治疗前后面部House-Brackmann(H-B)面神经功能分级、肌电图、面部残疾指数(facial disability index,FDI)量表评分变化,比较两组治疗前后炎性因子[超敏C反应蛋白(hypersensitive C-reactive protein,hs-CRP)、白细胞(white blood cell, WBC)计数、中性粒细胞与淋巴细胞的比值(neutrophil-to-lymphocyte ratio, NLR)和血小板与淋巴细胞的比值(platelet-to-lymphoccyte ratio, PLR)]变化,并比较两组临床疗效。结果 治疗组总有效率为96.7%,对照组总有效率为86.7%,两组比较差异有统计学意义(P<0.01)。两组治疗后H-B面神经功能分级优于治疗前(P<0.05),且治疗组的H-B面神经功能分级优于对照组(P<0.05)。两组治疗后口轮匝肌、眼轮匝肌、额肌肌电图潜伏期明显低于治疗前(P<0.05),治疗组低于对照组(P<0.01)。两组治疗后口轮匝肌、眼轮匝肌、额肌患健侧肌电图波幅比值高于治疗前(P<0.01),治疗组高于对照组(P<0.01)。两组治疗后FDI躯体功能评分(facial disability index physical function,FDIP)和社会功能评分(facial disability index social function, FDIS)评分优于治疗前(P<0.01),治疗组优于对照组(P<0.01)。两组治疗后炎性因子水平低于治疗前(P<0.05),治疗组低于对照组(P<0.05)。结论 在药物治疗的基础上,针刺联合艾灸可有效促进急性期周围性面瘫患者面神经功能和社会功能的恢复,疗效优于单纯针刺治疗,其机制可能与改善急性期面神经炎症反应有关。

Analysis of the Characteristics of City Scale Distribution and Evolutionary Trends in China

Based on the urban resident population statistics from 2005 to 2018, this paper analyzes the distribution and evolution of city scale in China by screening city samples according to the threshold criteria and using empirical research methods such as the City Primacy Index, the Rank-Scale Rule, the Gini coefficient of city scale, Kernel Density Estimation and Markov transfer matrix. The results show that: the most populous city in China has obvious advantages. The population distribution is concentrated in high order cities and in accordance with the law of order-scale;the economic scale of cities is in a concentrated state, the gap between the economic development levels of different types of cities is large, and the megacities are more attractive, which to a certain extent limit the development of the scale of the rest of the cities;the number of China’s city population is increasing, however, the gap between the population scale of other cities and the most populous city continues to be large, and the structure of city population scale is not reasonable enough;megacities and megalopolises keep their original scale levels unchanged to a large extent, and the scale transition between the two types of cities is rather difficult. Finally, based on the explanatory framework of the dynamics of city scale evolution, policy recommendations are proposed to promote a more balanced distribution of city scale.

融合尺度与信心指数的三维表面重建算法

针对包含细小结构场景的三维表面重建精度和完整度难以提高的问题,提出一种融合三维点云尺度与信心指数的三维表面重建算法。构建了一个表面隐函数,采用高斯函数为其基函数,三阶贝塞尔函数为其权重函数,并根据点云尺度与信心指数大小自适应调整基函数覆盖范围与权重函数取值。采用八叉树存储与处理数据,根据点云尺度大小自适应划分八叉树结构,从而自适应调整表面隐函数三维采样密度。通过无约束等值面提取方法,提取隐函数等值面,从而得到三维表面。与几种典型表面重建算法对比实验,结果表明所提算法重建三维表面细节清晰,整体重建精度与完整度均有提高。

An HC-PCF Fluorescence Spectrocopy for Detection of Microsphere Samples Based on Refractive Index Scaling Law

This paper illustrates an efficient fluorescence detection of micro particles using hollow-core photonic crystal fibers (HC-PCFs) by applying the refractive index (RI) scaling law. The variations in the central wavelength for different filling material indices are illustrated for most commonly available HC-PCFs that have cladding made of pure fused silica with array of air holes running along the entire length of the fiber. The proposed concept is verified by immobilizing fluorescent microsphere samples inside two HC-PCFs of different central wavelengths and the quantification of fluorescence inside the fibers is performed through spectroscopic analysis. The sensitivity has been compared for similar fiber with different dispersed media and different fibers with same dispersed medium.

基于5-scale模型人工针叶林叶面积指数反演

以内蒙古赤峰市旺业甸实验林场人工针叶林为研究对象,以哨兵2A(Sentinel-2A)多光谱遥感影像和外业测量的叶面积指数为数据基础,反演人工林叶面积指数。通过5-scale模型和Liberty模型耦合得到不同输入参数与冠层反射率相对应的查找表,利用编程读取查找表与遥感影像,通过对比遥感影像中红光波段和近红外波段反射率,与查找表中红光波段和近红外波段的反射率最接近的值所对应的叶面积指数值,进而实现叶面积指数反演。结果表明:基于5-scale模型反演的叶面积指数,R2=0.8222,RMSE=0.9414,其精度要高于一元线性模型的精度,利用5-scale模型反演人工针叶林叶面积指数是可行的。

“调督安神”针刺联合四逆散治疗老年顽固性失眠患者的临床观察

目的观察“调督安神”针刺联合四逆散治疗老年顽固性失眠患者的疗效,为其治疗提供方法。方法纳入2021年6月—2023年6月在遂宁市第三人民医院治疗的中医辨证为心脾两虚证的老年顽固性失眠患者102例,采用随机数字表法分为对照组和观察组,每组51例。对照组口服右佐匹克隆片,观察组在与对照组相同治疗的基础上加用“调督安神”针刺联合四逆散治疗,2组患者均持续治疗2周。比较2组临床疗效、中医证候评分和匹兹堡睡眠质量指数量表(PSQI)评分。结果观察组治疗有效率高于对照组(94.12%vs 78.43%,P<0.05)。治疗1周后,观察组患者神疲乏力、多梦易醒、头晕目眩、心悸易惊及注意力不集中评分均低于同组治疗前(P<0.05),而对照组上述各项评分与治疗前差异均无统计学意义(P>0.05);治疗2周后,两组的神疲乏力、多梦易醒、头晕目眩、心悸易惊及注意力不集中评分均低于同组治疗前,且观察组上述评分低于对照组(均P<0.05)。治疗1周后,观察组患者PSQI评分明显低于同组治疗前和对照组(均P<0.05);治疗2周后,观察组和对照组患者PSQI评分明显低于同组治疗前,且观察组PSQI评分低于对照组(均P<0.05)。结论西药右佐匹克隆片联合“调督安神”针刺与四逆散加味方治疗老年顽固性失眠患者,疗效确切,可显著改善患者的临床症状,具有一定的应用价值。

高能量激光联合体外冲击波治疗对足底筋膜炎患者视觉模拟评分和足部功能指数的影响

目的探讨高能量激光联合体外冲击波治疗对足底筋膜炎(PF)患者的视觉模拟评分法(VAS)、足部功能指数(FFI)的影响。方法选取2021年1月至2022年3月于江苏大学附属医院疼痛科就诊的59例PF患者作为研究对象,根据治疗方法分为A组(n=29)与B组(n=30)。A组行体外冲击波治疗,B组行高能量激光联合体外冲击波治疗。比较两组治疗前后VAS及FFI评分。结果治疗后1个月,两组VAS评分均低于治疗前,且B组低于A组,差异有统计学意义(P<0.05)。两组FFI评分组间、时间、交互比较差异有统计学意义(P<0.05);治疗3周、治疗后1个月,两组FFI评分均低于前一时间点,且B组低于A组,差异有统计学意义(P<0.05)。结论高能量激光联合体外冲击波治疗足底筋膜炎,可更好地缓解疼痛和改善患者的足部功能,值得临床推广应用。

技能领域深度学习评价核心指标构建与量表开发研究——以飞机维修虚拟仿真学习为例

学生主动、有深度的学习有利于促进职业技能提升。教学质量评价是职业技能教学的重要一环,深度学习理论可为技术支持下的专业技能教学与评价提供理论支持和实践指导。本研究以飞机维修虚拟仿真教学为例,采用专家访谈法和德尔菲专家咨询法,在“认知—行为—情感”维度下构建了飞机维修技能学习中指向深度学习的核心评价指标体系,包括迁移应用、分析判断、主动协作学习、批判反思、产生持久兴趣和内化职业价值观。在借鉴与深度学习相关的成熟量表基础上,结合飞机维修人员的能力要求,重新设计量表题项。信效度检验的结果显示,该量表具有较好的信度和效度,可用于后续教学实践。

基于DPSIR模型的县域生物多样性综合评估——以江苏省生物多样性本底调查试点县域为例

目前考虑生物多样性的多维评估及其变化的多驱动因素和长期动态模拟预测等研究相对缺乏。鉴于系统性和多层次分析等优点,“驱动力—压力—状态—影响—响应”(DPSIR)框架模型是当前国际上重要的生物多样性综合评估方法。然而,由于数据不足,县域层面的指标构建及赋权仍面临挑战。以2017—2019年江苏省21个生物多样性本底调查试点县域的生物、社会、经济发展、环境等数据为研究对象,探讨适合县域生物多样性评估的DPSIR模型的指标构建和赋权。研究记录了4324个物种(不包括浮游植物和浮游动物),其中陆生维管植物最多(1817种),两栖动物最少(17种)。宜溧山区、滨海湿地和宁镇山脉的6个区县的DPSIR综合指数值要高于其他县域。模型5个因子的权重值依次为:影响、状态、响应、驱动力和压力。模型识别出的5个高权重指标依次为自然保护区面积比、底栖动物物种数、森林面积比、湿地面积比、城镇化率。上述结果表明,保护森林与湿地生境、控制外来入侵物种和减轻城镇化影响是江苏省生物多样性保护未来工作的重点。研究结果为我国县域生物多样性科学评估、保护和管理工作提供了方法参考。

声刺激联合认知行为治疗慢性耳鸣的初步探讨

目的 探讨声刺激联合认知行为治疗(CBT)对慢性耳鸣的临床疗效。方法 本研究将49例慢性耳鸣患者按照随机数字表法分为干预组(25例)和对照组(24例),所有患者均行声音刺激1个月。干预组患者同时接受持续1个月的个体化的CBT,对照组患者不接受个体化CBT。所有患者在治疗前和治疗后30 d均需填写问卷,包括耳鸣残疾评估量表(THI)、焦虑自评量表(SAS)及匹兹堡睡眠质量指数(PSQI)。结果 两组患者均完成临床试验。治疗1个月后观察,对照组患者THI、SAS、PSQI的平均值分别下降15.58、15.46、4.96,干预组患者THI、SAS、PSQI的平均值分别下降40.52、41.76、7.72,差异具有统计学意义(P<0.05);且干预组患者THI、SAS、PSQI的得分均明显低于对照组。结论 声音刺激和CBT可以预测治疗效果,声音刺激联合CBT的治疗效果优于单独的声音刺激。性别、年龄和听力障碍是耳鸣最相关的危险因素。

TVDI与土壤湿度关系的多时间尺度分析与旱情监测

[目的]揭示不同时间尺度的TVDI与土壤湿度的关联关系,确定反映土壤湿度的最佳时间尺度,以更为准确地获取土壤湿度信息,精准监测旱情。[方法]以3种不同时间尺度(8 d,16 d和月)的遥感地表温度、反射率数据以及山东省31个地面观测站土壤湿度数据为基础,分析不同时间尺度下植被指数-温度空间特征,建立不同时段不同时间尺度温度植被干旱指数(TVDI)的热边和冷边函数,研究TVDI与土壤湿度之间的关联性随时间尺度的变化规律,确定了区域土壤墒情监测的时间尺度,反演了区域土壤湿度,监测旱情。[结果]植被指数-温度二维空间形状呈三角形,但随时间发生改变;二维空间中植被指数与最大、最小温度之间有明显的线性关系,湿边并非理想的与坐标轴平行的直线;TVDI与土壤湿度线性相关,但两者之间的紧密程度随时间尺度而变,8 d尺度的TVDI与土壤湿度有更高的相关系数;山东省冬小麦旱情与降水高度一致。[结论]短时间尺度的TVDI更适于区域的旱情监测,尽管人工灌溉有效降低了对降水的需求,但降水的多寡仍是影响区域小麦旱情的主要因素。

大型危岩体崩塌灾害早期监测预警技术研究综述

作为中国常见的一种地质灾害,大型危岩崩塌成因复杂、分布范围广、隐蔽性和突发性强、危害性大,其早期预警一直难以实现。通过总结岩体崩塌灾害失稳机理与预警模型可知,开展岩桥结构面损伤识别及静力学-动力学-环境量参量(SDEI)的综合性监测技术研究是实现大型危岩体崩塌灾害早期监测预警的关键所在,而基于分离破坏前兆识别的早期预警机制研究是提高崩塌灾害预警时效性的有效手段之一。随着微机电系统与云边融合技术的发展,在未来有望形成一套稳定性动态评价、失稳工况预测与失稳时间预测模型实时联动的多元预警新范式。与此同时,还需通过不断丰富大型危岩崩塌等脆性破坏灾害预警技术体系,实现危岩体预警等级、稳定性状态、失稳工况、失稳时间的实时分析,进而有效解决大型危岩体崩塌灾害科学精准防控与智慧化应急决策的双重难题。最后,针对目前崩塌灾害早期监测预警研究中存在的技术瓶颈问题,提出具体的发展策略与应对措施,以期为中国地质灾害高风险区更好地应对大型危岩体崩塌灾害提供一些参考。

闭环式管理模式对门诊癌痛患者的护理效果评价

目的探索闭环式管理模式对门诊癌痛患者的镇痛效果及可行性。方法收集2019年12月—2020年6月在江苏省肿瘤医院镇痛门诊首诊并使用阿片类药物(羟考酮缓释片)进行镇痛治疗的癌痛患者112例为研究对象。按照组间基本特征具有可比性的原则将患者分为对照组和观察组,每组56例,对照组给予常规管理;观察组接受闭环式管理模式,包括对患者首诊、复诊、定期随访、宣教、用药记录、指导等,同期疼痛门诊专科医师、药师、护士对患者制订个体化规范、合理、有效的镇痛方案及随诊计划,重点解决患者镇痛用药依从性,随诊反馈中存在的问题。两组患者均接受持续1个月的管理,记录并比较两组患者管理前后的服药依从率、数字评分量表(NRS)、爆发痛次数、疼痛控制满意程度,外周血β-内啡肽(β-EP)、前列腺素E-2(PGE-2)、内皮素-1(ET-1)、体质状况(KPS)评分,记录两组患者管理后对护理满意程度及管理期间发生的不良反应。结果管理前,两组患者的服药依从率、NRS、爆发痛次数、β-EP、PGE-2、ET-1、KPS评分比较差异均无统计学意义(P>0.05);管理后,观察组患者的服药依从率、镇痛满意程度、β-EP、护理满意程度和KPS评分高于对照组,差异均有统计学意义(P<0.05)。观察组患者的NRS、PGE-2、ET-1和不良反应发生程度均低于对照组,爆发痛次数少于对照组,差异均有统计学意义(P<0.05)。结论闭环式管理模式可有效提升门诊癌痛患者服药依从,有效控制疼痛,改善患者体质。

衰弱量表评分及衰弱指数与老年患者髋关节置换术后康复效果的相关性分析

目的:探讨衰弱量表(the frail scale)评分及衰弱指数(frailty index,FI)与老年患者髋关节置换术后康复效果的相关性。方法:选取2020年1月—2022年1月在本院行髋关节置换术并进行术后康复训练的老年患者69例为研究对象,采用衰弱量表和FI评估所有患者入院时的衰弱状态。并采用Harris评分量表对患者术后1周、6周以及3个月时关节功能康复情况进行评估,按照术后3个月的Harris评分将患者分为康复效果优良组(50例)和不良组(19例),比较两组衰弱量表和FI差异,ROC曲线及Logistic回归评估衰弱量表和FI对康复效果的预测价值。结果:69例老年患者术后3个月的总体康复效果优良(Harris评分78.72±5.56)。康复效果优良组衰弱量表和FI评估的衰弱比例均低于不良组,且两种衰弱评估结果均与术后3个月康复效果呈负相关(r=-0.393,P=0.001;r=-0.378,P=0.001);ROC曲线分析结果显示衰弱量表和FI预测康复效果的ROC曲线下面积(AUC)分别为0.818、0.706;Logistic回归结果显示衰弱量表评分是术后康复效果的独立影响因素[OR(95%CI)=7.712(1.362—43.655),P=0.021]。结论:衰弱评估量表和衰弱指数均与老年患者髋关节置换术后康复效果相关,其中衰弱量表预测性能相对更高。