Air-Sea Gas Transfer Velocity in Stormy Winter Estimated from Radon Deficiency

Thirteen vertical profiles of ²²⁶Ra and ²²²Rn in the near-surface water were obtained in the western North Pacific in winter, and the gas transfer velocities across the air-sea interface were estimated. The transfer velocities found by applying a steady state model varied widely from 2.1 to 30.2 m day⁻¹ with a mean of 9.4 m day⁻¹. The mean value is almost 5 times higher than that in summer in other oceans, and the maximum value is a record high for world oceans. This is partly due to the inadequacy of the steady state model, which overestimates when stronger winds blow in more recent days than the ²²²Rn half-life of about 4 days. In fact, a strong low pressure zone passed through the station about 2 days earlier, which was one of the low pressure zones that with a period of develop once a week or so in the northwestern North Pacific in winter. Instead of steady-state removal, if half of the radon removal occurred sporadically every 7 days, and the last removal took place two days before the observation, the transfer velocity would be 26 m day⁻¹. Our mean transfer velocity, which is less than 20% different from the steady state value including both overestimated and underestimated values, 9.4 ± 4.8 m day⁻¹, seems to represent the mean state of this region in winter. This suggests that the gas exchange fluxes under extremely rough conditions in the open ocean are larger than those estimated by using a transfer velocity equation with a linear or quadratic relationship with wind speed. This revised version was published online in July 2006 with corrections to the Cover Date.     

Mesozooplankton spatial distribution and community structure in the South Adriatic Sea during two winters (2015, 2016)

Whereas the data on mesozooplankton in the epipelagic offshore Mediterranean Sea are extensive, less information is available about plankton in the deeper layers. The present study aims to describe the vertical and horizontal structure and distribution of mesozooplankton species and their associations down to 1,200 m in the water of the Southern Adriatic Sea. Zooplankton were sampled using a Nansen net of 200‐μm mesh size during two cruises in the winters of 2015 and 2016, extending from the coast to the open sea. In total, 203 zooplankton taxa were identified. The community was dominated by copepods, representing between 67% and 91% of the total abundance. The highest total densities were recorded in the upper layers where a high proportion (up to 36%) of appendicularians was also observed in the first sampled year. Five groups of samples were determined based on their community structure. In 2015 communities were distinct between the 0 and 50 m layer and the underlying one (50–100 m), whereas in 2016 epipelagic waters were inhabited by a more uniform mesozooplankton community. The mesopelagic and deep‐water fauna, especially copepods, showed a relatively stable composition in both sampling years Overall, our study confirms the oligotrophic character of the Southern Adriatic, with occasional density outbreaks of appendicularians under favourable conditions.     

舟山冬季暴雨的特征

文章分析了冬季暴雨发生时的环流形势和物理量场分布特征,揭示了冬季暴雨的发生与厄尔尼诺现象有着一定的相关。同时,分析了单站要素的变化,为以后的冬季暴雨预报提供参考。     

冬至初春黄海暖流的路径和起源

主要根据近几年来中韩黄海水循环动力学合作调查结果,结合有关观测资料,进一步分析了冬至初春黄海暖流的路径和起源.与以往类似研究不同的主要有两点:(1)初步探讨了黄海暖流路径的季节和年际变异,并指出这种变异与北向风的强弱密切相关;(2)通过分析济州岛西侧海域混合水的去向,进一步确认了部分混合水绕济州岛运行,并进入济州海峡这一事实.同时,初步揭示进入黄海的混合水,即黄海暖流水,含有更多的东海陆架水成分.     

基于卫星遥感的临沂市冬小麦种植时空变化特征分析

以临沂地区为研究区,基于Terra/MOD13Q1遥感植被数据产品,通过分析冬小麦的遥感光谱特征、物候历特征及其生物学特性,提取2009—2019年临沂地区冬小麦种植信息,利用GIS空间分析方法和统计分析方法分析了临沂冬小麦种植的时空分布变化规律。结果显示:1)空间上,近10年来临沂地区冬小麦种植面积在2 800～3 000 km~2之间浮动,占整个地区土地面积的17%左右,总体变化较小,种植区域呈南多北少的分布格局,主要集中在兰陵、临沭和郯城; 2)从冬小麦种植稳定度上看,连续种植冬小麦10 a及以上的区域,主要集中在兰陵和郯城,面积为1 638 km~2,稳定度高,连续种植小于4 a的区域有1 914 km~2,主要分布在莒南和费县,种植不稳定; 3)时间上,冬小麦面积由2009年的2 838 km~2增加到2019年的2 985 km~2,变化幅度和年均变化率分别为5.5%和0.5%,呈缓慢增加趋势。本研究为临沂地区冬小麦种植的深入了解以及农业结构调整提供了较为准确、科学的参考依据。     

Wheat straw burning and its associated impacts on Beijing air quality

Based on MODIS images, large-scale flow field charts and environmental monitoring data, we thor- oughly analyzed the spatial distribution of wheat straw burning in North China, with focus on its envi- ronmental impacts on the air quality of Beijing and pollution transport paths. And we anatomized changes of air quality in Beijing under the impacts of pollution generated by wheat straw burning around. The results indicate that: (1) The North China Plain, a winter-wheat growing area, is the main source of pollutants induced by wheat straw burning in Beijing. The direction of south-west is the dominant heavy pollution transport path. (2) Impacts of wheat straw burning on air quality are mainly manifested by significantly increasing CO concentration. (3) Precursors of O3 generated by wheat straw burning, combining with favorable meteorological conditions, can induce increasing O3 concentration greatly. NO concentration will be greatly increased due to decreasing O3 concentration at night. (4) Atmospheric particles, especially the fine ones, from wheat straw burning exert considerable influ- ence on Beijing air quality. (5) Different contributions of wheat straw burning to pollutants are identified. Ratios of PM10/SO2, CO/SO2, etc., can be applied to indicate pollution extent of wheat straw burning. High ratios of PM10/SO2 and CO/SO2 show that the air quality was heavily impacted by wheat straw burning and these ratios can be employed as indicators of contribution of wheat straw burning to the degradation of Beijing air quality. (6) Randomness of wheat straw burning activities renders random outbreak of air pollution of this type. Regional and extensive wheat straw burning activities can cause serious air pollution event.     

Modelling blue and green water resources availability in Iran

Knowledge of the internal renewable water resources of a country is strategic information which is needed for long‐term planning of a nation's water and food security, among many other needs. New modelling tools allow this quantification with high spatial and temporal resolution. In this study we used the program Soil and Water Assessment Tool (SWAT) in combination with the Sequential Uncertainty Fitting program (SUFI‐2) to calibrate and validate a hydrologic model of Iran based on river discharges and wheat yield, taking into consideration dam operations and irrigation practices. Uncertainty analyses were also performed to assess the model performance. The results were quite satisfactory for most of the rivers across the country. We quantified all components of the water balance including blue water flow (water yield plus deep aquifer recharge), green water flow (actual and potential evapotranspiration) and green water storage (soil moisture) at sub‐basin level with monthly time‐steps. The spatially aggregated water resources and simulated yield compared well with the existing data. The study period was 1990–2002 for calibration and 1980–1989 for validation. The results show that irrigation practices have a significant impact on the water balances of the provinces with irrigated agriculture. Concerning the staple food crop in the country, 55% of irrigated wheat and 57% of rain‐fed wheat are produced every year in water‐scarce regions. The vulnerable situation of water resources availability has serious implications for the country's food security, and the looming impact of climate change could only worsen the situation. This study provides a strong basis for further studies concerning the water and food security and the water resources management strategies in the country and a unified approach for the analysis of blue and green water in other arid and semi‐arid countries. Copyright © 2008 John Wiley & Sons, Ltd.     

青藏高原强降水日数的时空分布特征

 根据青海和西藏48个气象台站近48 a（1961-2008年）的逐日降水和气温资料,分别以日降水量超过5 mm和25 mm作为冬半年（11月～翌年3月）和夏半年（5～9月）强降水的临界值,分析了青藏高原冬、夏半年强降水日数的时空分布特征。结果表明：（1）高原强降水日数与总降水量的空间分布型非常相似,夏半年均表现为由东南向西北递减,而冬半年则为由高原腹地向四周递减。（2）夏（冬）半年强降水主要集中在7月上旬～8月中旬（11月上旬和3月中下旬）。（3）夏（冬）半年强降水存在准6 a（5～6 a）的年际振荡以及准10～11 a（15 a）的年代际振荡。（4）强降水日数变化趋势的空间差异较大,夏半年高原北（南）部强降水日数普遍以增加（减少）趋势为主,而冬半年除雅鲁藏布江流域呈减少趋势外,高原大多数地区均表现出显著增加趋势。     

欧亚大陆冬季雪深的时空演变特征及其影响因子分析

利用美国冰雪资料中心(National Snow and Ice Data Center)提供的前苏联1948~1994年逐日积雪深度资料,定义了冬季雪深增量的概念,探讨了欧亚大陆秋末雪深、冬季雪深、冬季雪深增量的时空演变规律,通过比较分析三者的异常变化特征,揭示了三者之间可能存在的联系。经验正交函数分解(EOF)结果表明:欧亚大陆冬季雪深、冬季雪深增量的第一模态的空间分布特征均为大致以50°N为界的南北反相变化,欧亚大陆北部的积雪深度和冬季雪深增量都呈现出一致性的变化趋势;两者对应的时间序列均反映了显著的年代际变化特征,且年代际转变均发生在20世纪70年代中期前后。第二模态则呈现出欧亚大陆东、西部反相的偶极型空间分布特征。进一步分析表明,欧亚大陆秋末雪深无论从空间分布还是时间演变来看与冬季雪深几乎不存在相关性。欧亚大陆冬季雪深变化主要是冬季雪深增量影响所致,与秋末雪深无关。     

塔里木河下游漫溢区土壤种子库及幼苗库特征

结合土壤种子库萌发实验和幼苗库野外调查,研究塔里木河下游漫溢区土壤种子库和幼苗库特征及两者之间的差异,同时对不同微地形条件下两者多个生态指标进行分析比较。结果显示:（1）土壤种子库和幼苗库共发现有11科21属22种植物。土壤种子库有效种子密度为681±166个\5m-2,而幼苗库的密度为74±30株·m-2。土壤种子库和幼苗库均以多年生草本植物为主。（2）土壤种子库的Margalef指数值显著大于幼苗库,Simpson指数和Shannon-Wiener指数的值则略大于幼苗库。土壤种子库和幼苗库之间的物种相似度为0.553。（3）在不同微地形条件下,土壤种子库和幼苗库的密度和多样性指数变化趋势有所不同,但总体上均表现为土壤种子库大于幼苗库。