Seasonal variations of dimethylsulfide (DMS) and dimethylsulfoniopropionate (DMSP) in the sea-surface microlayer and subsurface water of Jiaozhou Bay and its adjacent area

The distributions of DMS and its precursor dimethylsulfoniopropionate, in both dissolved (DMSP_d) and particulate fractions (DMSP_p) were determined in the seasurface microlayer and corresponding subsurface water of the Jiaozhou Bay, China and its adjacent area in May and August 2006. The concentrations of all these components showed a clear seasonal variation, with higher concentrations occurring in summer. This can be mainly attributed to the higher phytoplankton biomass observed in summer. Simultaneously, the enrichment extents of DMSP_d and DMSP_p in the microlayer also exhibited seasonal changes, with higher values in spring and lower ones in summer. Higher water temperature and stronger radiant intensity in summer can enhance their solubility and photochemical reaction in the microlayer water, reducing their enrichment factors (the ratio of concentration in the microlayer to that in the corresponding subsurface water). A statistically significant relationship was found between the microlayer and subsurface water concentrations of DMS, DMSP and chlorophyll a, demonstrating that the biogenic materials in the microlayer come primarily from the underlying water. Moreover, our data show that the concentrations of DMSP_p and DMS were significantly correlated with the levels of chlorophyll a, indicating that phytoplankton biomass might play an important role in controlling the distributions of biogenic sulfurs in the study area. The ratios of DMS/chlorophyll a and DMSP_p/chlorophyll a varied little from spring to summer, suggesting that there was no obvious change in the proportion of DMSP producers in the phytoplankton community. The mean sea-to-air flux of DMS from the study area was estimated to be 5.70 μmol/(m²·d), which highlights the effects of human impacts on DMS emission.     

A Multilayer Study of pCO2 in the Surface Waters of the Yellow and South China Seas in Spring and the Sea-Air Carbon Dioxide Flux

A multilayer study of pCO2 for the Yellow and South China Seas in the surface waters was conducted based on data from four cruises sponsored by the China SOLAS Project in 2005 and 2006, including data for the surface microlayer (SML), sub- surface layer (SSL) and surface layer (SL). The carbon fluxes across the air-sea interface were calculated. The results showed that the pCO2 values in the surface waters of the study area decreased in the following order: pCO2 SML pCO2 SSL pCO2 SL. The highest val- ues were found in March for all SML, SSL and SL, followed by those in April, and the lowest were in May. The pCO2 values had a significant positive correlation with temperature or salinity. While there was no relationship between pCO2 and longitude, there was a significant negative correlation between it and latitude, i.e., 'high latitude low pCO2'. By using four calculation models, the carbon dioxide fluxes ( FCO2 ) in spring in the Yellow and South China Seas, which were found to act as a 'sink' of atmospheric CO2, were preliminarily estimated on the basis of the pCO2 data in the SML to be -7.00×106t C and -22.35×106t C, respectively. It is suggested that the FCO2 calculated on the basis of pCO2 data in the SML is more reliable than that calculated on the basis of those in the SL.     

2005年8月13日抚顺地区大暴雨天气过程诊断分析

利用天气图等实况资料,针对2005年8月13日抚顺大暴雨天气过程,从环流形势特征、不稳定能量、水汽和动力条件等方面入手,寻找形成强降水的物理背景,并对云团演变过程、数值预报产品应用和特殊地形对降水的影响进行分析,探讨降水过程的天气系统演变特征及发生、发展的物理机制,以提高对此类型暴雨天气的认识和预报能力。结果表明:西风槽东移、热带风暴北移,促使副热带高压北上,建立了低空急流;低空急流为大暴雨输送大量水汽和不稳定能量;切变线东南移,携带冷空气与副热带高压边缘不稳定能量在抚顺交汇,对流云团得到强烈发展,触发了副热带高压边缘不稳定能量的释放,因此形成了大暴雨天气;地形辐合抬升,对降水起到了增强作用。     

Spatiotemporal Dynamics of Coastal Wetlands and Reclamation in the Yangtze Estuary During Past 50 Years(1960s–2015)

Reclamation is one of the fastest-growing land use type developed in coastal areas and has caused degradation and loss of coastal wetlands as well as serious environmental problems. This paper was aimed at monitoring the spatiotemporal patterns of coastal wetlands and reclamation in the Yangtze Estuary during the 1960s and 2015. Satellite images obtained from 1980 to 2015 and topography maps of the 1960 s were employed to extract changes of reclamation and coastal wetlands. Area-weight centroids were calculated to identify the movement trend of reclamation and coastal wetlands. The results show that from the 1960 s to 2015, the net area of natural wetlands declined by 574.3 km~2, while man-made wetlands and reclamation increased by 553.6 and 543.9 km~2, respectively. During the five study phases, the fastest areal change rate natural wetlands was –13.3 km~2/yr in the period of 1990–2000, and that of man-made areas was 24.7 km~2/yr in the same period, and the areal change rate of reclamation was 27.6 km~2/yr in the period of 2000–2010. Conversion of coastal wetlands mainly occurred in the Chongming Island, Changshu City and the east coast of Shanghai Municipality. Reclamation was common across coastal areas, and was mainly attributed to settlement and man-made wetlands in the Chongming Island, Lianyungang City and the east coast of Shanghai Municipality. Natural wetlands turned into farmlands and settlement, and man-made wetlands gained from reclamation of farmlands. The centroid of natural wetlands generally moved towards the sea, man-made wetlands expanded equally in all directions and inland, and the centroid of reclamation migrated toward Shanghai Municipality. Sea level rise, erosion-deposition changes, and reclamation activities together determine the dynamics of the Yangtze Estuary wetlands. However, reclamation activities for construction of ports, industries and aquaculture are the key causes for the dynamics. The results from this study on the dynamics of coastal wetlands and reclamation are valuable for local government to put forward sustainable land use and land development plans.     

基于MODIS数据的陕西地表温度监测

根据8年来跟踪调研成果,果树辨证管理技术就是一种能够适应恶劣气候变化的果树管理新学科和新技术系统,这种技术已经在苹果、桃、枣、梨、杏、李子、葡萄等果树进行实践,证明它是具有普遍意义的管理方法。特别是它控制营养生长、促进生殖生长的机制,改变了“桃三杏四梨五年”的概念,表现出生态、早产、高产、低投入、管理简化、劳动强度大大降低等诸多优势。     

赤道印度洋海温异常与偶极子季节变化特征

利用Scripps海温再分析资料,对赤道印度洋0～400m深度范围内海温变化和偶极子异常变化特征进行了初步分析。结果显示,赤道印度洋上层海温呈现西低东高,而次表层以下海温则为西高东低。同时发现,温跃层是赤道印度洋上、下层很好的分界面。温跃层之上海温变化受海气相互作用明显,之下海温变化主要受海洋自身的运动影响。赤道印度洋偶极子现象存在于各个深度,其偶极子指数变化存在半年周期,季节变化表现为双峰双谷型,并从深层（400m）向表层传递。分析发现,海气相互作用不是表层赤道印度洋偶极子变化的决定因素。较深层偶极子变化决定于海洋自身的运动变化特征（如洋流）,并向上层传输,进而影响上层偶极子的异常变化。赤道印度洋偶极子指数由西印度洋和东印度洋海温变化共同制约,但西印度洋海温变化起主导作用,东印度洋仅起到加强或减弱偶极子强度变化的作用。     

Shrinkage and fragmentation of marshes in the West Songnen Plain,China, from 1954 to 2008 and its possible causes

Agricultural development under climatic variations has resulted in substantial loss of marshes in the West Songnen Plain in the past decades. In this paper, the shrinkage and fragmentation process of marshes and its possible causes in the West Songnen Plain from 1954 to 2008 were explored using historical topographic maps and remote sensing data. Results indicated that the West Songnen Plain underwent considerable shrinkage and fragmentation of marshes in that same period. Marshes occupied 6404 km² in 1954, but this area has decreased by 74% in the past 54 years. The average annual decrease rate of marshes was 88 km² per year. Meanwhile, the number of marsh patches decreased from 1411 to 514, and the mean patch size decreased from 454 to 320 ha. Cropland and salinized wasteland were the two main land use types into which marshes were converted. During the same period, grassland decreased by 54%, cropland increased by 22%, and salinized wasteland expanded by 612%. A significant increase in air temperature and index of dryness was found in the study region, along with decreased precipitation, thereby affecting the marsh systems through the changing hydrological regimes. On the other hand, population, gross domestic product, and livestock number increased considerably as marshes shrank and became fragmented. Governmental policy changes played a key role in land use transformations in the study region.     

Examining Forest Net Primary Productivity Dynamics and Driving Forces in Northeastern China During 1982–2010

Forest net primary productivity （NPP） is a key parameter for forest monitoring and management. In this study, monthly and annual forest NPP in the northeastern China from 1982 to 2010 were simulated by using Carnegie-Ames-Stanford Approach （CASA） model with normalized difference vegetation index （NDVI） sequences derived from Advanced Very High Resolution Radiometer （AVHRR） Global Invento y Modeling and Mapping Studies （GIMMS） and Terra Moderate Resolution Imaging Spectroradiometer （MODIS） products. To address the problem of data inconsistency between AVHRR and MODIS data, a per-pixel unary linear regres- sion model based on least ~;quares method was developed to derive the monthly NDVI sequences. Results suggest that estimated forest NPP has mean relative error of 18.97% compared to observed NPP from forest inventory. Forest NPP in the northeastern China in- creased significantly during the twenty-nine years. The results of seasonal dynamic show that more clear increasing trend of forest NPP occurred in spring and awmnn. This study also examined the relationship between forest NPP and its driving forces including the climatic and anthropogenic factors. In spring and winter, temperature played the most pivotal role in forest NPR In autumn, precipitation acted as the most importanl factor affecting forest NPP, while solar radiation played the most important role in the summer. Evaportran- spiration had a close correlation with NPP for coniferous forest, mixed coniferous broadleaved forest, and broadleaved deciduous forest. Spatially, forest NPP in the Da Hinggan Mountains was more sensitive to climatic changes than in the other ecological functional re- gions. In addition to climalie change, the degradation and improvement of forests had important effects on forest NPP. Results in this study are helpful for understanding the regional carbon sequestration and can enrich the cases for the monitoring of vegetation during long time series.     

鄂尔多斯地块南缘构造演化及其对盆地腹部的构造—沉积分异的效应

鄂尔多斯地块南缘处在盆地与秦岭造山带之间这一盆—山结合的过渡部位,由于构造位置的特殊性,自古生代以来其构造及沉积面貌与盆地腹部地区存在较大差异,具体表现在：1）早古生代沉积开始早、结束晚;2）晚古生代沉积开始晚;3）印支期西南部发生局部坳陷沉降;4）燕山晚期盆地南部强烈抬升（远高于盆地东部的同期抬升）;5）喜马拉雅期渭河地区快速沉陷与渭北隆升。盆地南部经历了3次大的构造格局转换：一是晚古生代末—印支期西南部“由隆到坳”的构造转换;二是印支期末—燕山期主体构造走向由北西—南东向到南北向的转换（构造转向）;三是燕山期末—喜马拉雅期渭河地区由强烈隆升到快速沉降的转换（构造反转）。盆地南部在不同时期所表现出的与盆地本部的不同耦合特征均根源于区域大地构造背景的差异：1）早古生代处于活动大陆边缘构造环境;2）海西期—印支期受古特提斯洋开裂—闭合的影响;3）燕山期受古太平洋板块俯冲的影响;4）喜马拉雅期受印度板块俯冲与太平洋板块俯冲的共同制约。鄂尔多斯地块南缘经历强烈伸展与造山过程,引起了其与盆地腹部的构造—沉积分异。     

晋城市冬、春季PM2.5和PM10污染水平时空分布及其与气象因子的关系

为深入了解晋城市颗粒物浓度时空分布特征,对晋城市2017年12月至2018年5月国控点、小型站和微型站PM2.5及PM10小时浓度数据进行收集整理,并进行空间插值分析和时间变化趋势分析及与气象监测数据的相关分析。结果表明:颗粒物浓度在冬、春季节具有明显差异,冬季PM10与PM2.5高值区主要位于东北部及东南小部分区域,春季PM10高值区位于城区南部区域,PM2.5高值区主要集中于城区。晋城市城区和郊区PM10与PM2.5月均浓度整体呈单峰型变化,PM10在4月份最高(157.54±5.67μg·m^-3),PM2.5在1月份最高(94.08±2.25μg·m^-3)。冬季PM2.5/PM10平均为0.57,春季平均为0.45。颗粒物小时浓度的变化呈现单峰单谷的型式,冬季PM10与PM2.5小时平均浓度最高值均出现在10时,春季均出现在09时。监测期间晋城市PM10与PM2.5的小时浓度值与相对湿度有较高的正相关性(p<0.01),与风速、风向有较高的负相关性(p<0.01),与温度和气压的相关性较低。冬季,东北至正南风向时,PM10与PM2.5的浓度普遍高于西北风向时的浓度,对晋城冬、春季国控点颗粒物浓度贡献率最高的风向风速为东南偏南风向,风速在1 m/s以内。