Regional differentiation of ecological conservation and its zonal suitability at the county level in China

China’s investments, financial incentives and deductions in terms of ecological conservation are based at the county level. Therefore, the monitoring and assessment of the effects of ecological conservation at the county level is important to provide a scientific basis for the assessment of the ecological and environmental quality at the county scale. This paper quantitatively estimated the dynamics of high-quality ecosystems and vegetation coverage over the past 15 years, and their relationships with the number of ecological conservation programs at the county level were analyzed. Then, the effects of ecological conservation measures on ecological changes at the county level and their regional suitability were assessed and discussed. The results showed that counties with a percentage of high-quality ecosystems greater than 50% were primarily distributed in northeastern China, southern subtropical China and the southeastern Qinghai-Tibet Plateau, and those with a percentage lower than 20% were mostly distributed in northwestern China, the southwestern karst region and the North China Plain. In recent decades, ecological conservation has focused on ecologically fragile regions; more than five ecological conservation programs have been implemented in most counties of the Three River Source Region in Qinghai Province, southeastern Tibet, western Sichuan, the Qilian Mountains, southern Xinjiang and other western regions, while only one or zero have been implemented in the eastern coastal area of China. Over the past 15 years, the proportional area of high-quality ecosystems has increased in approximately 53% of counties. The vegetation coverage of counties in the Loess Plateau, Huang-Huai-Hai Plain, Beijing-Tianjin-Hebei (Jing-Jin-Ji), Sichuan-Guizhou-Chongqing, and Guangdong-Guangxi provincial-level areas has increased significantly. However, it decreased in northern Xinjiang, central Tibet, central and eastern Inner Mongolia, the Yangtze River Delta and other regions. The relationships between the numbers of ecological conservation programs and the indicators of ecosystem restoration response, such as high-quality ecosystem and vegetation coverage, do not show positive correlations. These results suggest that ecological conservation programs should be planned and implemented according to the distribution patterns of high-quality ecosystems and that restoration measures such as afforestation should follow natural principles and regional differentiation under the background of climate change.     

Characterizing mixed-use buildings based on multi-source big data

To-date few research has successfully integrated big data from multiple sources to characterize urban mixed-use buildings. In this paper, we introduce a probabilistic model to integrate multi-source and geospatial big data (social network data, taxi trajectories, Points of Interest and remote sensing images) to characterize urban mixed-use buildings. The usefulness of our model is demonstrated with a case study of the Tianhe District in megacity Guangzhou, China. The model predicted building functions at 85% accuracy based on ground truth data from field surveys. We further explored the spatial patterns of the identified building functions. Most mixed-use buildings are located along major streets. Our proposed model can identify mixed-use buildings in a city; information is useful for planning evaluation and urban policymaking.     

CMPA降水资料在中国地区不同地形下的精度评价研究

以2001—2010年中国地面自动站降水资料为基准,对中国大陆范围内CMPA(CMPA_Daily)降水资料进行精度评价研究,并与CMORPH1.0(CPC MORPHing technique gauge-satellite)、TRMM3B43V7(Tropical Rainfall Measuring Mission 3B43)降水资料精度进行对比,并进一步结合高程、坡度、坡向、坡向修正因子分析地形因子对数据质量的影响并探讨不同地貌类型下数据的精度。结果显示:CMPA在年、月尺度上均能较好地反映降水的多寡,与站点实测数据具有较高的相关性,误差波动较为平稳,数据质量及稳定性优于CMORPH与TRMM;从时间序列曲线显示CMPA的精度呈现较为明显的季节性差异,均方根误差夏季高于冬季,相关系数、百分比偏差、平均相对误差冬季高于夏季,总体而言CMPA夏季的误差高于冬季,由于夏季降水的基数大而导致了百分比偏差以及平均相对误差较低;分析地形的影响表明,高程、坡度对数据质量的影响大于坡向与坡向修正因子;在复杂地形下,高海拔与高坡度地区CMPA精度均有所降低,但降水资料的精度仍然优于CMORPH与TRMM。     

不同辐射参数化方案对南京地区大雾过程数值模拟的影响

为了比较不同长、短波辐射参数化方案对江苏省大雾过程的模拟效果,本文利用WRF模式,通过设计不同长、短波辐射参数化方案,对江苏省2015年5月18—21日和12月20—21日2次典型大雾过程进行了数值模拟,讨论了模式中不同长、短波辐射参数化方案对江苏省大雾过程的模拟影响。采用平均绝对误差(MAR)、均方根误差(RMSE)、皮尔逊相关系数(r)及中国气象局颁布的雾区预报规定,评价得到不同条件的最优模拟方案。结果表明:(1)热力条件与水汽条件,模拟最优方案为长波GFDL方案与短波RRTMG方案组合。(2)动力条件,最优辐射参数化方案组合为CAM方案与FLG方案组合。(3)雾区的模拟,效果最好的方案为长波GFDL方案与短波RRTMG方案的组合。     

颈动脉粥样硬化与血浆肾素-血管紧张素水平的相关性

目的 探讨高血压病患者颈动脉粥样硬化与血浆肾素-血管紧张素水平的关系。方法 对2015年1月~2016年3月在心血管内科住院的原发性高血压患者的临床资料进行回顾性研究。结果 颈动脉粥样硬化与年龄、血糖、总胆固醇、低密度脂蛋白、尿酸相关。血浆立卧位肾素-血管紧张素水平与颈动脉粥样硬化：随着立卧位血管紧张素Ⅱ水平、立位肾素水平的增高,颈动脉粥样硬化的发生率增高（P<0.05）。Logistic回归分析显示,年龄、卧位血管紧张素Ⅱ、总胆固醇、尿酸与颈动脉粥样硬化呈正相关,高密度胆固醇与颈动脉粥样硬化呈负相关（P<0.05）。结论 血浆血管紧张素Ⅱ水平与颈动脉粥样硬化呈独立相关关系。     

高脂饮食大鼠肾脏HMGCS2表达及调控研究

目的 探讨高脂饮食大鼠肾脏3-羟基-3甲基戊二酰辅酶A合成酶2（HMGCS2）表达及可能调控机制。方法 断乳Wistar 雄性大鼠27只分为3组：正常对照组（CON）、高脂组（HFG）、绿茶多酚（green tea polyphenols,GTPs）组（G）。CON组大鼠喂养普通饲料,HFG组及GTPs组给予高脂饲料,GTPs组同时自由摄食绿茶多酚浓度为1.6g/L水溶液。26周后测定空腹血糖（FPG）、血清胆固醇（TC）、甘油三酯（TG）、低密度脂蛋白（LDL）、高密度脂蛋白（HDL）。免疫印迹法测定肾脏HMGCS2和Sirt3蛋白表达水平。结果 与CON组比较,HFG组大鼠体重和脂肪系数升高,血清FPG、TC、TG、LDL-C/HDLC均升高,差异有统计学意义（P<0.05）;与HFG组比较,GTPs降低大鼠体重和脂肪系数,差异有统计学意义（P<0.05）,GTPs组血清FPG、TC、TG、LDL-C/HDLC均不同程度降低,差异有统计学意义（P<0.05）。与CON组比较,肾脏组织HMGCS2的表达降低,差异有统计学意义（P<0.05）;与HFG组比较,GTPs组增加肾脏HMGCS2的表达,差异有统计学意义（P<0.05）。高脂饮食、正常饮食和GTPs干预后,大鼠肾脏组织Sirt3蛋白表达差异无统计学意义。结论 高脂饮食可降低肾脏组织HMGCS2表达,绿茶多酚可逆转此效应;高脂饮食及绿茶多酚对肾脏组织HMGCS2表达的调控不经Sirt3途径。     

Predicting the visualization intensity for interactive spatio-temporal visual analytics: a data-driven view-dependent approach

The continually increasing size of geospatial data sets poses a computational challenge when conducting interactive visual analytics using conventional desktop-based visualization tools. In recent decades, improvements in parallel visualization using state-of-the-art computing techniques have significantly enhanced our capacity to analyse massive geospatial data sets. However, only a few strategies have been developed to maximize the utilization of parallel computing resources to support interactive visualization. In particular, an efficient visualization intensity prediction component is lacking from most existing parallel visualization frameworks. In this study, we propose a data-driven view-dependent visualization intensity prediction method, which can dynamically predict the visualization intensity based on the distribution patterns of spatio-temporal data. The predicted results are used to schedule the allocation of visualization tasks. We integrated this strategy with a parallel visualization system deployed in a compute unified device architecture (CUDA)-enabled graphical processing units (GPUs) cloud. To evaluate the flexibility of this strategy, we performed experiments using dust storm data sets produced from a regional climate model. The results of the experiments showed that the proposed method yields stable and accurate prediction results with acceptable computational overheads under different types of interactive visualization operations. The results also showed that our strategy improves the overall visualization efficiency by incorporating intensity-based scheduling.     

Regional Frequency Analysis of Observed Sub-Daily Rainfall Maxima over Eastern China

Based on hourly rainfall observational data from 442 stations during 1960–2014, a regional frequency analysis of the annual maxima(AM) sub-daily rainfall series(1-, 2-, 3-, 6-, 12-, and 24-h rainfall, using a moving window approach) for eastern China was conducted. Eastern China was divided into 13 homogeneous regions: Northeast(NE1, NE2), Central(C), Central North(CN1, CN2), Central East(CE1, CE2, CE3), Southeast(SE1, SE2, SE3, SE4), and Southwest(SW).The generalized extreme value performed best for the AM series in regions NE, C, CN2, CE1, CE2, SE2, and SW, and the generalized logistic distribution was appropriate in the other regions. Maximum return levels were in the SE4 region, with value ranges of 80–270 mm(1-h to 24-h rainfall) and 108–390 mm(1-h to 24-h rainfall) for 20- and 100 yr, respectively.Minimum return levels were in the CN1 and NE1 regions, with values of 37–104 mm and 53–140 mm for 20 and 100 yr,respectively. Comparing return levels using the optimal and commonly used Pearson-III distribution, the mean return-level differences in eastern China for 1–24-h rainfall varied from-3–4 mm to-23–11 mm(-10%–10%) for 20-yr events, reaching-6–26 mm(-10%–30%) and-10–133 mm(-10%–90%) for 100-yr events. In view of the large differences in estimated return levels, more attention should be given to frequency analysis of sub-daily rainfall over China, for improved water management and disaster reduction.     

Changes in wheat potential productivity and drought severity in Southwest China

Theoretical and Applied Climatology - Wheat production in Southwest China (SWC) plays a vital role in guaranteeing local grain security, but it is threatened by increasingly frequent seasonal...     

云粒子测量系统的定标方法研究

云粒子测测量系统是开展云降水物理和人工影响天气研究的关键测量仪器。目前我国使用的这类仪器主要是由国外进口。不仅仪器的定标依赖于厂家使得用户在时间和经济上的代价很大,而且传统的玻璃珠定标方法也存在易粘连等缺陷。针对这个现状,提出一种新的定标方法。利用成熟的喷墨打印技术和视觉测量技术,产生可控、稳定的5种直径(10~50μm)连续微水滴,来定标云粒子测量仪器。本文详细描述了实现此定标方法的系统原型结构,分析了影响系统工作性能的因素,通过对同一CDP(Cloud Droplet Probe)探头定标与传统方法进行对比。结果表明,此方法能够满足云粒子测量系统的定标需求,该定标方法较传统方法易于控制且性能良好。