Characterizing wetland change at landscape scale in Jiangsu Province, China

Human activities produced great impacts on wetlands worldwide. Taking Jiangsu Province, China, as a representative wetland region subject to extensive human activities, the aim of this study is to understand the conversion trajectory and spatial differentiation in wetland change from a multi-scale perspective. Based on multi-temporal Landsat images, it was found that the natural wetlands decreased by 11.2% from 1990 to 2006 in Jiangsu Province. Transition matrices showed that the conversion of natural wetlands to human-made wetlands (mostly aquaculture ponds) was the major form of natural wetland reduction, accounting for over 60% of the reduction. Percentage reduction and area reduc tion of natural wetlands were respectively quantified within different wetland cover zones using a moving window analysis. Average percentage reduction showed a decreasing tendency with increasing wetland cover. The high-cover and mid-cover zone presented the largest area reduction at the scales of 1-2 km and 4-8 km, respectively. Local hotspots of natural wetland reduction were mapped using the equal-interval and quantile classification schemes. The hotspots were mostly concentrated in the Lixiahe marshes and the coastal wetland areas. For the area reduction hotspots, the quantile classification presented larger area and more patches than the equal-interval classification; while an opposite result was shown for the percentage reduction hotspots. With respect to the discontinuous distribution of the natural wetlands, area reduction could be more appropriate to represent reduction hotspots than percentage reduction in the study area. These findings could have useful implications to wetland conservation.     

Severity models of cross-median and rollover crashes on rural divided highways in Pennsylvania

Introduction

Crossover and rollover crashes in earth-divided, traversable medians on rural divided highways can lead to severe injury outcomes. This study estimated severity models of these two crash types. Vehicle, driver, roadway, and median cross-section design data were factors considered in the models. A unique aspect of the data used to estimate the models were the availability of median cross-slope data, which are not commonly included in roadway inventory data files.

Methods

A binary logit model of cross-median crash severity and a multinomial logit model of rollover crash severity were estimated using five years of data from rural divided highways in Pennsylvania.

Results

The highest probability of a fatal or major injury in cross-median and rollover crashes was found to occur in cases when a driver was not wearing a seatbelt. While flatter cross-slopes and narrower medians were associated with more severe cross-median crash outcomes, steeper cross-slopes and narrower medians significantly increased rollover crash severity outcomes. The presence of horizontal curves was associated with increased probabilities of high-severity outcomes in a median rollover crash.

Impact on Industry

Modeling results in this study confirmed that cross-median and median rollover crash severity outcomes are associated with median cross-section design characteristics. Based on the estimated models, it appears that flatter and narrower medians lead to more severe injury outcomes in cross-median crashes. Steeper median cross-slopes and narrower medians were associated with higher probabilities of more severe outcomes in median rollover crashes. The results presented in this study suggest that there is a trade-off between median cross-section design and cross-median and rollover crashes in earth-divided, traversable medians on rural divided highways. While the severity models can be included in a framework to develop design guidance in relation to this trade-off, models of crash frequency should also be considered.     

Markov reliability model research of monitoring process in digital main control room of nuclear power plant

Monitoring process is an important part in a high safety digital main control room of nuclear power plant (NPP), it is the source extracted information and found abnormal information in time. As the human factors events arisen from monitoring process recently take place more and more frequent, the authors propose a reliability Markov model to effectively decrease these abnormal events. The model mainly analyzes next monitoring object probability in terms of current information and plant state. The authors divide digital human–machine interface into two parts that are referred as logical homogeneous Markov and logical heterogeneous Markov. For the former, a series of methods of probability evaluation are proposed, such as, Markov transition probability with condition, probability distributed function with human factors, system state and alarm; for the latter, the authors propose the calculation of probability of correlation degree between last time and next time and probability calculation methods with multi-father nodes. The methods can effectively estimate the transition probability from a monitoring component to next monitoring component at time t, can effectively analyze which information is more important in next monitoring process and effectively find more useful information in time t + 1, so that the human factors events in monitoring process can greatly be decreased.     

外军皮肤防护器材化学防护性能测试与评价用标准物质研究进展

本文简迷了皮肤防护器材--化学防护服(衣)化学防护性能试验与评价用标准物质的重要性,系统地概述了外军化学防护服(衣)化学防护性能试验与评价用标准物质的研究现状,并提出了我国化学防护服(衣)防护性能试验与评价用标准物质研制过程中应注意的一些问题.     

Enantioselective ecotoxicity of the herbicide dichlorprop and complexes formed with chitosan in two fresh water green algae

To reduce the leaching potential, to prevent groundwater contamination and to maintain the efficacy of a pesticide, natural polysaccharides have received increasing attention due to their biocompatibility and useful biological reactivity for controlled release formulations (CRFs) of pesticides. In this paper, the toxicities of the chiral herbicide dichlorprop (DCPP) and its complexes with chitosan molecules (DCPP-CS) and chitosan nanoparticles (DCPP-NP) to two different green algae were determined and compared. The inhibition rates of DCPP, DCPP-CS and DCPP-NP were determined at 24, 48, 72, 96, 120, 144, 168 h, and the results show that (S)-DCPP was more toxic to Chlorella vulgaris than (R)-DCPP, while the (R)-DCPP was more toxic to Scenedesmus obliquus than (S)-DCPP. The study also found that the chiral selectivity of DCPP to Chlorella vulgaris and Scenedesmus obliquus could be changed when DCPP was complexed with chitosan molecules (CS) or chitosan nanoparticles (NP). For Chlorella vulgaris, the order of inhibition was (R)-DCPP-CS > (S)-DCPP-CS and (R)-DCPP-NP > (S)-DCPP-NP; for Scenedesmus obliquus, the order was (S)-DCPP-CS > (R)-DCPP-CS and (S)-DCPP-NP > (R)-DCPP-NP. This phenomenon suggests that the enantioselective behaviors of chiral compounds might shift when interactions with other chiral receptors coexist in different biological environments. Additionally, chitosan molecules and chitosan nanoparticles also showed different toxicities, which could be ascribed to the difference in the physicochemical properties between CS and NP or the differences in the cell walls of the two fresh water green algae.     

东北地区植被时空演变及影响因素分析

基于2000~2020年MODIS NDVI遥感数据,辅以气象数据和土地利用数据,通过小波分析、Sen+Mann-Kendall趋势分析、Hurst指数、偏相关分析及残差分析法,以不同地形地貌为单元,对不同周期阶段下东北地区植被时空演变特征及其对气候变化和人类活动的响应机制进行深入解析.结果表明:时间上,21a间东北地区植被NDVI呈速率为0.0308/10a(P<0.001)的上升趋势,以16a第一主周期下10a左右的周期变化最为稳定;空间上,东北地区植被NDVI整体处于较高水平,但空间分异明显,呈“西南低东北高”的格局.各周期阶段均为NDVI改善面积大于退化面积且改善范围不断扩增.NDVI未来变化趋势主旋律为持续改善,占总面积的63.56%;响应机制上,东北地区植被NDVI受气候变化与人类活动共同影响.2000~2020年NDVI与气温、降水和相对湿度呈正相关,与日照时数呈负相关,其中降水对NDVI的影响作用最强,且随周期演替以降水为主导气候因子的面积显著递增.各周期阶段人类活动对NDVI变化均以正向促进为主,林业工程实施是植被状况改善的关键,而建设用地扩张是植被减少的主要原因.     

Identification of two novel MYH3 variants causing different phenotypes in prenatal diagnosis

The MYH3 gene encodes the embryonic myosin heavy chain, which is crucial for the skeletal and muscular development. The MYH3 variants are associated with distal arthrogryposis type 2A (Freeman-Sheldon syndrome), distal arthrogryposis type 2B3 (Sheldon-Hall syndrome), CPSFS1A (Contractures, pterygia, and spondylocarpostarsal fusion syndrome 1A) and CPSFS1B, which have some shared characteristics and great variability of clinical phenotypes. In this study, we report two novel MYH3 missense variants c.1024T>G (p.Phe342Val) and c.3872A>C (p.Gln1291Pro), demonstrating different phenotypes in the prenatal setting. This study expands the spectrum of MYH3 variants and supports the domain-specific genotype-phenotype correlation of MYH3.     

大通湖湖区水质时空分布特征及其影响因子解析

运用主成分分析和聚类分析对2019年7-11月大通湖湖区33个采样点的8个水质指标进行了数据分析,采用单因子指数法和综合水质标识法对水质进行了综合评价,分析了大通湖湖区水质的时空特征,识别了主要影响因子和污染源.以单因子指数法为评价方法,2019年7月大通湖水质为Ⅴ类,8月为劣Ⅴ类,9-11月大通湖湖区水质有所改善,为...     

零价铁去除水中硒的研究进展

硒（Se）在水中主要以SeO₃^2-和SeO₄^2-离子形式存在,具有溶解度高、迁移能力强、毒性高等特点,过量摄入会对生命健康造成严重危害.零价铁（ZVI）是一种绿色、安全、高效且廉价的环境修复材料,通过表面氧化层的吸附作用,以及ZVI、吸附态Fe（Ⅱ）以及绿锈等活性次生矿物的还原作用,将Se（Ⅳ）和Se（Ⅵ）主要还原为低毒性、低溶解度的Se（0）,从而去除水中高毒性的SeO₃^2-和SeO₄^2-.纳米零价铁（nZVI）比表面积大、活性更高,去除Se的速率更快、效率更高,可以将SeO₃^2-和SeO₄^2-更多地还原为Se（-Ⅱ）.利用无机粘土、生物炭等材料负载nZVI,不仅可以解决nZVI易团聚、易迁移、潜在毒性风险高等问题,还可以通过载体材料的吸附、pH稳定、电子传递等作用,进一步增强nZVI对水体中Se的去除效果.实际环境中的缓冲...     

An antibiotic composite electrode for improving the sensitivity of electrochemically active biofilm biosensor

• Antibiotic azithromycin employed in graphite electrode for EAB biosensor. • Azithromycin at 0.5% dosage increased the sensitivity for toxic formaldehyde. • Azithromycin increased the relative abundance of Geobacter. • Azithromycin regulated thickness of electroactive biofilm. Extensive research has been carried out for improved sensitivity of electroactive biofilm-based sensor (EAB-sensor), which is recognized as a useful tool in water quality early-warning. Antibiotic that is employed widely to treat infection has been proved feasible in this study to regulate the EAB and to increase the EAB-biosensor’s sensitivity. A novel composite electrode was prepared using azithromycin (AZM) and graphite powder (GP), namely AZM@GP electrode, and was employed as the anode in EAB-biosensor. Different dosages of AZM, i.e., 2 mg, 4 mg, and 8 mg, referred to as 0.25%, 0.5% and 1% AZM@GP were under examination. Results showed that EAB-biosensor was greatly benefited from appropriate dosage of AZM (0.5% AZM@GP) with reduced start-up time period, comparatively higher voltage output, more readable electrical signal and increased inhibition rate (30%-65% higher than control sensor with GP electrode) when exposing to toxic formaldehyde. This may be attributed to the fact that AZM inhibited the growth of non-EAM without much influence on the physiologic or metabolism activities of EAM under proper dosage. Further investigation of the biofilm morphology and microbial community analysis suggested that the biofilm formation was optimized with reduced thickness and enriched Geobacter with 0.5% AZM@GP dosage. This novel electrode is easily fabricated and equipped, and therefore would be a promising way to facilitate the practical application of EAB-sensors.