中国东部高空颠簸时空分布特征及其与热带中东太平洋海温的关系

本文利用1979～2014年NCEP-DOE日平均再分析资料和中国区域2375份航空器空中颠簸报告资料,研究中国东部区域高空颠簸的时空分布特征及其与热带中东太平洋海温异常（简称“海温异常”;空间范围:5°S～5°N,120°～170°W）的关系以及产生这种关系的可能原因。结果表明:中国东部地区高空颠簸与东亚副热带西风急流之间存在显著时空相关关系,其原因是高空纬向风引起的垂直风切变是构成高空颠簸时空分布的主导因素。中国东部夏季高空颠簸与海温异常存在正相关关系;冬季呈现南北两个正负相关区:以30°N为界,北部区域存在显著的负相关,南部区存在显著的正相关,在30°N急流轴附近区域无显著相关关系。海温异常影响中国高空颠簸时空分布的可能原因是海温变化引起对流层高层温度出现异常,进而影响温度的经向梯度,导致东亚副热带西风急流强度和位置出现异常（夏季,急流轴南侧出现西风异常;冬季,急流轴北侧出现东风异常,南侧出现西风异常）。高空纬向风的变化导致纬向风的垂直梯度和经向梯度出现异常,最终影响高空颠簸的时空分布特征。对流层高层温度的异常变化可能是由与热带海温异常相关的平流层水汽变化所引起。     

Arsenic contamination caused by roxarsone transformation with spatiotemporal variation of microbial community structure in a column experiment

Arsenic contamination from roxarsone in livestock manure is common, and livestock manure continuously accumulates in the open environment. Evaluations of the environmental processes of As mobilization and transformation are critical for predicting the fate of As compounds after roxarsone degradation. In this study, spatiotemporal variations in As species and microbial community structure were characterized using laboratory column experiments with background soil collected from Yanggu County (northern Shandong Plain, China), a region of intense poultry production. Organic and inorganic arsenic were detected by high-performance liquid chromatography (HPLC) and HPLC with hydride generation atomic fluorescence spectrometry (HPLC-HG-AFS), respectively. High-throughput sequencing technology was used to describe microbial diversity. Results showed that roxarsone was transformed completely within 7 days, and As(Ⅲ) and As(Ⅴ) were the major degradation products. The concentration of As(Ⅲ) was much lower than that of As(Ⅴ). The As(Ⅲ) concentration increased significantly after Day 14, whereas the As(Ⅴ) concentration increased significantly after Day 84, indicating that As(Ⅲ) was initially produced. The microbial community structure changed significantly as roxarsone transformed into various As compounds. A critical and dominant bacterial strain, norank_f__Family_XVⅢ, was found to be related to the degradation of roxarsone into As(Ⅲ). This study improves our understanding of the fate of As species released from poultry litter to soil and groundwater, which is a threat to human health and environment.     

四川盆地低涡的月际变化及其日降水分布统计特征

利用ERA-interim再分析资料和全国824个气象基准站的日降水资料,统计分析了1983年1月1日~2012年12月31日发生在四川盆地的低涡天气过程及其降水特征,结果表明:盆地涡初生位置主要位于盆地的西南部和东北部,盆地涡夏季出现最多,冬季出现最少,其中初生位置位于盆地西南部的低涡7月出现最多,12月和1月出现最少;位于东北部的低涡6月出现最多,1月出现最少;盆地涡具有明显的日变化,西南型盆地涡3~10月夜晚发生概率均大于白天,其他月份低涡夜发性不明显,而东北型盆地涡只在5~9月期间夜晚发生概率大于白天,其他月份低涡夜发性不明显;盆地涡生命史与对流程度具有相关性,对流发展有利于盆地涡长时间维持,然而,夏季西南型盆地涡即使对流没向上发展也能长时间维持;盆地涡夏季移出最多,尤其以7、8月最明显,冬季移出最少,7月前以偏东路径为主,7月后以东北路径为主;盆地涡频数的月际变化与川西高原西南涡源地的风场扰动移出有密切联系,九龙地区夏季风场扰动移出活跃,冬季移出不活跃。小金地区春季风场扰动移出活跃,冬季移出不活跃。九龙地区风场扰动移出对盆地涡频数的月际变化贡献明显,小金地区风场扰动移出对盆地涡频数的月际变化贡献不明显;夏半年(5~10月)西南型盆地涡和东北型盆地涡引起的日降水区域分布的月际变化特征不同,前者的日降水最大值中心随月份先由盆地东北部向西南部移动,之后再由盆地西南部向东北部折回,后者的日降水最大值中心会一直稳定维持在盆地的东北部达州地区。东北型盆地涡虽然出现频次低,但各月的日降水强度要远大于西南型盆地涡。     

Development of Unsteady Windblown Sand Transport

The threshold condition and mass flux of aeolian sediment transport are the essential quantities for wind erosion prediction, dust storm modeling and geomorphological evolution, as well as the sand control engineering design. As a consequence, they have long been the key issues of windblown sand physics. Early researches on aeolian sediment transport focus mainly on steady transport process. While recently, synchronous, high frequency measurements show that wind field in atmospheric boundary layer is always unsteady, showing up as intense fluctuation of wind speed, which thus results in the intense spatial-temporal variability of aeolian sand transport. It has been proven that unsteady sand/dust transport is closely related with boundary layer turbulence and affects significantly the determination of threshold condition and the prediction of aeolian transport rate. The researches of experiment, theory analysis and numerical simulation on unsteady sand/dust transport in recent two decades are reviewed. Finally, open questions and future developments are suggested.     

Spatiotemporal patterns of tropical deforestation and forest degradation in response to the operation of the Tucuruí hydroelectric dam in the Amazon basin

The planned construction of hundreds of hydroelectric dams in the Amazon basin has the potential to provide invaluable ‘clean’ energy resources for aiding in securing future regional energy needs and continued economic growth. These mega-structures, however, directly and indirectly interfere with natural ecosystem dynamics, and can cause noticeable tree loss. To improve our understanding of how hydroelectric dams affect the surrounding spatiotemporal patterns of forest disturbances, this case study integrated remote sensing spectral mixture analysis, GIS proximity analysis and statistical hypothesis testing to extract and evaluate spatially-explicit patterns of deforestation (clearing of entire forest patch) and forest degradation (reduced tree density) in the 80,000 km² neighborhoods of the Brazil's Tucuruí Dam, the first large-scale hydroelectric project in the Amazon region, over a period of 25 years from 1988 to 2013. Results show that the average rates of deforestation were consistent during the first three time periods 1988–1995 (620 km² per year), 1995–2001 (591 km² per year), and 2001–2008 (660 km² per year). However, such rate dramatically fell to half of historical levels after 2008, possibly reflecting the 2008 global economic crisis and enforcement of the Brazilian Law of Environmental Crimes. The rate of forest degradation was relatively stable from 1988 to 2013 and, on average, was 17.8% of the rate of deforestation. Deforestation and forest degradation were found to follow similar spatial patterns across the dam neighborhoods, upstream reaches or downstream reaches at the distances of 5 km–80 km, suggesting that small and large-scale forest disturbances may have been influencing each other in the vicinity of the dam. We further found that the neighborhoods of the Tucuruí Dam and the upstream region experienced similar degrees of canopy loss. Such loss was mainly attributed to the fast expansion of the Tucuruí town, and the intensive logging activities alongside major roads in the upstream reservoir region. In contrast, a significantly lower level of forest disturbance was discovered in the downstream region.     

北京城市高温遥感指标初探与时空格局分析

利用北京高温天气下的NOAA18/AVHRR卫星资料与气象台站资料,分析了日最高气温与遥感反演的城市地表温度的关系,初步确定了地表高温阈值并建立了高温遥感指标,并利用1989~2008年(缺2002年)6~9月NOAA/AVHRR资料开展了北京地区高温时空格局分析研究。指标初步研究表明:北京气温高温值为35、37、40°C对应的遥感地表高温值分别为44、47、52°C,可以较好地适用于北京平原地区;利用该阈值建立的地表高温强度指标(LSHI)对北京平原高温的监测与气象台站高温监测基本一致,而高温比例指数指标(LSHP)能有效反映出城市高温空间强弱和时间差异。北京遥感地表高温空间格局分析显示:夏季(6~8月)旬平均遥感地表温度≥44°C年出现概率不超过50%,广泛分布于城区和平原区;旬平均遥感地表温度≥47°C年出现概率不超过40%,集中于北京五环内;旬平均遥感地表温度≥52°C年出现概率不超过15%,集中于城区;6~9月高温出现的概率高值区一般都集中于五环内,其中旬平均遥感地表温度≥44°C、≥47°C、≥52°C的出现概率分别为80%~100%、60%~80%、10%~40%。     

中国典型海滩垃圾组成和时空变化特征

21世纪被称为"海洋世纪",但由于人类复杂的生产活动,大量的垃圾正有意或无意的被投放入海洋环境中,这将导致全球范围内近岸污染,包括生态环境恶化,生物资源锐减等问题。本研究以天津高沙岭、上海南汇嘴和深圳大铲湾三地的海滩为研究区域,通过对三个海滩垃圾的种类、时空特征及相关性进行统计分析,以期了解中国近海不同海滩的海滩垃圾分布特征,为我国海洋垃圾监测和调查、监督和管理等起到一定的指导作用。结果显示,海滩垃圾不同种类间数量差异较大,三年间垃圾数量大体呈逐年增加的趋势,且不同的海滩,垃圾数量和种类都存在明显差异。     

Optimal rural land use allocation in central China: Linking the effect of spatiotemporal patterns and policy interventions

Rural land use development is experiencing a transition stage of socioeconomic and land use development in China. Historic land use transition process and policy interventions have key influence on the applicability of land use allocation solutions in future land use management. Strategic land use allocation is therefore required to possess a good adjustment capability to the transition process. Although heuristic optimization methods have been promising to solve land use allocation problems, most of them ignored the spatially explicit effect of historic land use transition and policies. To help resolve this issue, this study aims to optimize future land use pattern in the context of rural land use development. We took Yunmeng County, one of the typical major grain producing and rapidly urbanizing areas in central China, as a case study and solved the sustainable land use allocation problem by using an improved heuristic optimization model. The model was constructed based on the integration of a spatial discrete particle swarm optimization and cellular automata-Markov simulation approach. The spatiotemporal land use patterns and policy interventions were represented by the CA-Markov as in spatially explicit transition rules, and then incorporated into the discrete PSO for optimal land use solutions. We examined the influence of the joint effect of spatiotemporal land use patterns and policy interventions on the land use allocation outcome. Our results demonstrate the robustness and potential of the proposed model, and, more importantly, indicate the significance of incorporating the spatiotemporal land use patterns and policy interventions into rural land use allocation.     

Mapping cropping intensity trends in China during 1982–2013

Long range continuous monitoring information of cropping intensity is useful for sustainable agricultural management but still limited. This study filled this information gap through delivering spatiotemporal continuous datasets of cropping intensity in China during the past 30 years. Cropping intensity data were derived by a wavelet features-based method based on the long-term weekly global EVI2 (Enhance Vegetation Index with two bands) at 0.05° spatial resolution (5 km) from 1982 to 1999 and 8-day composite 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance products from 2001 to 2013. The remote-sensing estimated images in 2013 agreed well with field survey data (overall accuracy = 91.63%) and the national agricultural census data (r² = 0.89). Results revealed that the cropping intensity remarkably increased during 1982–1999 but slightly declined during 2001–2013. The overall cropping intensity increased from 1.34 in the 1980s to 1.41 in the 1990s, and then dropped to an average of 1.36 after 2000. From 1982 to 1999, approximately 93,225 km² single-cropped areas changed to double-cropping, primarily those located in the North China plain. However, 39,883 km² double-cropped areas were turned back into single-cropping areas from 2001 to 2013, principally located in the North China plain, the Middle-lower Yangtze River plain, and the hill regions of the southern Yangtze River. This reverse trend of cropping intensity was due to combined effects from the corresponding reverse variations in agricultural population, increasing agricultural mechanical power, positive agricultural policy. The agricultural duty free policy has only immediate effects on stabilizing cropping intensity in croplands with more favorable biophysical conditions.