大克泊湖床垂向渗透系数试验研究

湖床渗透系数是地下水与湖水关系研究中的重要参数之一,是评价湖水与地下水定量转化关系的基础。以鄂尔多斯盆地大克泊湖为例,首先分析了湖床沉积物的颗粒组成,然后利用现场渗透试验技术进行了野外试验,计算了湖床的垂向渗透系数。计算结果表明,各测点的平均垂向渗透系数介于2.02×10-1～1.103 cm/d,最大值是最小值的4倍,表明大克泊湖床的垂向渗透性能在空间具有非均质性。湖床沉积物垂向渗透系数的数量级表明,湖水很难和地下水直接发生交换,地下水主要以溢流的形式补给湖水。因此,在枯水季节,地下水无法补给湖水,导致大克泊湖的面积在蒸发作用下萎缩迅速。颗粒分析结果表明,湖床沉积物以粘土为主,根据湖区的地层岩性分析,其主要来自环河组中泥岩的风化。     

海岸风沙流中不同粒径组沙粒的垂向分布模式

通过对河北昌黎黄金海岸沙丘风沙流的野外实地观测与室内风洞模拟实验数据的数值模拟,探讨了我国典型海岸沙丘风沙流中不同粒径组沙粒输沙量的垂向分布模式。结果表明,河北昌黎黄金海岸沙丘表面风沙流中不同粒径组沙粒输沙量的垂向分布特征并不一致,其中细沙和中沙符合典型的指数递减分布规律,但粗沙则为负幂函数分布。究其原因,主要与不同粒径组沙粒输沙量的分布高度及运动方式差异有关。在实际非均匀沙床面上,粗沙主要集中分布于沙丘表面4cm高度内湍流发育的近地表层,运动方式以蠕移为主,沙丘表面湍流的主导作用使其输沙量随高度的变化满足负幂律关系,但中沙和细沙则以跃移运动为主,跃移沙粒输沙量的垂向分布呈现指数递减特征。     

基于GEE的中国湖泊浮游植物生物量时空动态分析

随着全球变暖和社会经济发展,中国湖泊富营养化情况时有发生,迫切需要对中国湖泊的浮游植物生物量进行有效监测.本文选择了中国756个面积超过10km2的湖泊进行研究,基于Google Earth Engine(GEE)云端运算平台,反演2003-2018年间叶绿素a(chl-a)浓度数据,以此来分析研究各个湖泊的营养状态及...     

珠江虎门河口水体有机氯农药的垂向分布及二次污染初步研究

采用5点法对珠江广州河段白鹅潭水域进行垂线采样,并采取表层沉积物的界面水。水样采用GF/F玻璃滤膜过滤分离出颗粒相和溶解相,据美国EPA标准对有机氯农药进行定量分析,结果显示有机氯农药浓度范围是23.89~61.69ng/L;据有机氯农药浓度的垂向分布特征、颗粒相为主要输运方式的DDTs的中下层高浓度跃层的形成、以及有机氯农药在颗粒相和溶解相浓度分布和分配系数表明,水柱上层和下层水体的有机氯农药的输入方式有较大的差异,结合主成分分析结果,在流速增加的动力条件下,表层沉积物存在二次污染的风险。     

乞盖淖湖湖床垂向渗透系数试验研究

地下水与湖水的转化必须要通过湖床沉积物,因此湖床渗透系数是评价湖水与地下水定量转化关系的基础。以内蒙古伊金霍洛旗乞盖淖湖为例,首先分析了湖床沉积物的颗粒组成,然后利用现场渗透试验方法进行了野外试验,计算了湖床的垂向渗透系数。湖床沉积物粒径分析结果表明,湖床沉积物以粉细沙为主。湖床垂向渗透系数计算结果表明,各测点的平均垂向渗透系数介于0．83～13．59cm／d,表明乞盖淖湖床垂向渗透性能在空间上具有非均质性。该研究为定量计算地下水与湖水的转化关系提供了基础参数。     

基于TM数据的太湖叶绿素A浓度定量反演

利用TM(ETM)数据与准实时地面采样数据,建立太湖叶绿素浓度反演模型。结果表明,TM3/(TM1+TM4)与叶绿素A浓度的相关性最好,并以此建立了太湖叶绿素A浓度线性反演模型,但反演精度并不高,因此,建立了一个两层BP神经网络模型反演太湖的叶绿素A浓度,结果表明,神经网络模型的反演精度远高于线性反演模型,16个测试样本表明,神经网络模型反演的相对误差小于30%的有15个点,占总测试样本93.75%,而线性反演模型反演相对误差在30%以下的仅有3个点,这表明对于太湖这样一个光谱特征复杂的二类水体,可以利用神经网络模型反演水质参数。     

云南高原典型湖泊现代过程及环境演变研究进展

对云南省境内从南到北、由低至高分布的7个典型湖泊进行钻探取样,共钻取岩芯140m,同时对部分湖泊采集了表泥样品。对湖区古湖岸阶地、层状地貌和相关地层考察研究表明:主要存在着2～3次明显的高湖岸,高湖岸已受构造作用的强烈影响发生变形;杞麓湖、拉市海、文海等分布着高于落水洞时代很新的多层贝壳层,蛇山组沉积结束于末次冰期晚期及其它相关证据说明,该区现代水系可能是最近几万年才最终形成。     

格陵兰努普·康格鲁阿峡湾叶绿素a浓度时空变化分析

努普·康格鲁阿(Nuup Kangerlua)峡湾的叶绿素a(Chl a)浓度的时空分布对于气候变化有一定的指示作用。基于此,结合通过C2RCC算法对Sentinel-3 OLCI反演得到的Chl a数据、OSTIA海表面温度(SST)数据以及Nuuk气象站数据,对2016—2020年该区域的Chl a浓度分布进行时空分析。结果表明,在峡湾入口端, Chl a的分布主要受风力和海温的影响,在9月风力最强盛时达到最大;而在冰川出水口端,除风力和水温外,在冰川融水的作用下,浮游植物在春季爆发后,还伴随有秋季二次爆发。     

阿蒙森海夏季南极磷虾资源空间分布及其与叶绿素浓度的关系

南极磷虾(Euphausia superba)广泛分布于南大洋海域,环境因子对南极磷虾资源密度及分布具有重要影响。基于我国第36次南极科学考察声学评估结果和调查数据,利用单因素方差分析和双变量相关分析对2020年1月9日—2020年2月5日期间阿蒙森海南极磷虾资源空间分布特征及与叶绿素浓度之间的关系展开研究。结果表明,调查期间阿蒙森海南极磷虾平均资源密度为6.36 g·m^–2,0～5 g·m^–2密度区间比例最高(68.18%);南极磷虾资源密度存在显著的空间差异(P<0.05),集中分布在阿蒙森海近岸(72.75°S—76.25°S)和西侧(150°W—158°W)海域。调查海域平均叶绿素浓度为3.54 mg·m^–3,2～3 mg·m^–3浓度区间比例最高(38.31%);叶绿素浓度存在显著的空间差异(P<0.05),在阿蒙森海近岸海域(72.75°S—76.25°S)和东西两侧(114°W—119°W和140°W—158°W)海域较高。叶绿素浓度与南极磷虾资源密度分布具有显著的正相关关系...     

流域干旱对淡水湖泊湿地生态系统的影响机制

在气候变化和人类活动的双重影响下,一些湿地严重退化。其中,流域干旱问题是导致湿地退化的重要原因之一。干旱严重制约着湿地的生态水文过程。一方面,干旱通过造成湿地水量亏缺和水分条件改变,来影响湿地生物和生境条件;另一方面,湿地中的生物对干旱具有一定的适应性,通过个体的形态、生理和行为适应等来避免干旱造成的伤害;同时,这一过程还伴随着生物种群的数量、密度、生物量、分布以及群落的组成、数量、生物量、分布等特征的变化;最终干旱对湿地的影响将体现在湿地规模、构成、格局和功能的变化上。在理论上,干旱作为一种扰动对提高湿地生态系统的耐旱性有一定积极影响,但由于缺少长期的湿地恢复过程研究,这一学术观点并未被广泛认知;长时间的严重干旱则会对湿地生态系统产生不可逆转的影响,导致其退化、消失。     

Vertical distribution characteristics of dust aerosol mass concentration in the Taklimakan Desert hinterland

The different height mass concentrations of dust aerosol data from the atmosphere environment observation station （Ta- zhong Station） was continuously observed by instruments of Grimm 1.108, Thermo RP 1400a and TSP from January of 2009 to February of 2010 in the Taklimakan Desert hinterland. Results show that： （1） The mass concentration value of 80 m PMl0 was higher, but PM2.5 and PM1.0 concentrations at 80 m was obviously lower than 4 m PMl0, and the value of 80 m PM1.0 mass concentration was the lowest. （2） The PM mass concentrations gradually decreased from night to sunrise, with the lowest concentration at 08：00, with the mass concentration gradually increased, up to the highest concentration around 18：00, and then decreased again. It was exactly the same with the changes of wind speed. （3） The high monthly average mass concentration of TSP mainly appeared from March to September, and the highest concentration was in April and May, subsequently gradually decreased. Also, March-September was a period with high value area of PM monthly average mass concentration, with the highest monthly average mass concentration of 846.0 p.g/m3 for 4 m PM~0 appeared in May. The concentration of PM10 was much higher than those of PM2.5 and PM1.0 at 80 m. There is a small difference between the concentration of PM2.5 and PM~ 0. Dust weather was the main factor which influenced the concentration content of the different diameter dust aerosol, and the more dust weather days, the higher content of coarse particle, conversely, fine particle was more. （4） The mass concentration of different diameter aerosols had the following sequence during dust weather： clear day 〈 blowing dust 〈 floating and blowing dust 〈 sandstorm. In different dust weather, the value of PM~o/TSP in fine weather was higher than that in floating weather, and much higher than those in blowing dust and sandstorm weather. （5） During the dust weather process, dust aerosol concentration gradually decreased with particle size decreasing. The dust aerosol mass concentration at different heights and diameter would have a peak value area every 3-4 days according to the strengthening process of dust weather.     

东海初级生产力遥感反演及其时空演化机制

According to calculation results of ocean chlorophyll concentration based on SeaWiFS data by SeaBAM model and synchronous ship-measured data, this research set up an improved model for Case I and Case Ⅱ water bodies respectively. The monthly chlorophyll distribution in the East China Sea in 1998 was obtained from this improved model on calculation results of SeaBAM. The euphotic depth distribution in 1998 in the East China Sea is calculated by using remote sensing data of K490 from SeaWiFS according to the relation between the euphotic depth and the oceanic diffuse attenuation coefficient. With data of ocean chlorophyll concentration, euphotic depth, ocean surface photosynthetic available radiation (PAR), daily photoperiod and optimal rate of daily carbon fixation within a water column, the monthly and annual primary productivity spatio-temporal distributions in the East China Sea in 1998 were obtained based on VGPM model. Based on analysis of those distributions, the conclusion can be drawn that there is a clear bimodality character of primary productivity in the monthly distribution in the East China Sea. In detail, the monthly distribution of primary productivity stays the lowest level in winter and rises rapidly to the peak in spring. It gets down a little in summer, and gets up a little in autumn. The daily average of primary productivity in the whole East China Sea is 560.03 mg/m^2/d, which is far higher than the average of subtropical ocean areas. The annual average of primary productivity is 236.95 g/m^2/a. The research on the seasonal variety mechanism of primary productivity shows that several factors that affect the spatio-temporal distribution may include the chlorophyll concentration distribution, temperature condition, the Yangtze River diluted water variety, the euphotic depth, ocean current variety, etc. But the main influencing factors may be different in each local sea area.     

Estimation of ocean primary productivity and its spatio-temporal variation mechanism for East China Sea based on VGPM model

According to calculation results of ocean chlorophyll concentration based on SeaWiFS data by SeaBAM model and synchronous ship-measured data, this research set up an improved model for CaseⅠand CaseⅡwater bodies respectively. The monthly chlorophyll distribution in the East China Sea in 1998 was obtained from this improved model on calculation results of SeaBAM. The euphotic depth distribution in 1998 in the East China Sea is calculated by using remote sensing data of K490 from SeaWiFS according to the relation between the euphotic depth and the oceanic diffuse attenuation coefficient. With data of ocean chlorophyll concentration, euphotic depth, ocean surface photosynthetic available radiation (PAR), daily photoperiod and optimal rate of daily carbon fixation within a water column, the monthly and annual primary productivity spatio-temporal distributions in the East China Sea in 1998 were obtained based on VGPM model. Based on analysis of those distributions, the conclusion can be drawn that there is a clear bimodality character of primary productivity in the monthly distribution in the East China Sea. In detail, the monthly distribution of primary productivity stays the lowest level in winter and rises rapidly to the peak in spring. It gets down a little in summer, and gets up a little in autumn. The daily average of primary productivity in the whole East China Sea is 560.03 mg/m2/d, which is far higher than the average of subtropical ocean areas. The annual average of primary productivity is 236.95 g/m2/a. The research on the seasonal variety mechanism of primary productivity shows that several factors that affect the spatio-temporal distribution may include the chlorophyll concentration distribution, temperature condition, the Yangtze River diluted water variety, the euphotic depth, ocean current variety, etc. But the main influencing factors may be different in each local sea area.     

1972-2012年青藏高原中南部内陆湖泊的水位变化

青藏高原的湖泊水位变化能够清晰的记录湖泊波动,分析近几十年来气候变暖背景下青藏高原典型湖泊水位的动态变化,对理解全球变化的区域响应特征和规律有重要意义。本文利用多源遥感数据,获取1972-2012年青藏高原南部地区5个典型湖泊的面积与水位序列,并分析了40年来湖泊水位的变化特征。研究结果表明,1972-2012年,普莫雍错,塔若错,扎日南木错水位呈上升趋势,分别上升了0.89 m、0.70 m、0.40 m;同期,佩枯错与玛旁雍错的水位呈下降趋势,分别下降了1.70 m、0.70 m。总体来看,五个湖泊在1990s-2012年的变化比1970s-1990s的变化更剧烈,从空间变化看,处于青藏高原边缘地带的佩枯错与玛旁雍错发生的变化呈现一致性,而位于中部地带的塔若错与扎日南木错的变化也呈现一致性。     

层状云微物理属性垂直分布的季节变化——以新疆地区为例

利用CloudSat卫星资料2B-CLDCLASS和2B-CWC-RVOD数据集,分别揭示了层云与层积云的云粒子等效半径、数浓度及含水量等微物理属性的垂直分布特征及其季节变化规律。结果表明：层云所在的云层高度比层积云高,特别是春季,层云可以延伸到11.0 km处,而层积云云层所在高度最高出现在夏季,最高延伸到8.5 km处。层云中的冰水分布在1.0~11.0 km,液态水分布在0~9.0 km,而层积云的冰水和液态水均分布在0~9.0 km。层云与层积云的冰粒子等效半径、水云粒子数浓度、液态水含量呈现随云层高度的增加而减小的趋势,冰粒子数浓度随云层高度增加呈增大趋势,冰水含量呈峰值分布,峰值出现在6~10 km范围内。各季节层积云粒子等效半径、粒子数浓度及水含量的最大值均大于层云的对应值,从这方面看,层积云更适合作人工增水对象。     

Dynamic features and driving mechanism of coal consumption for Guangdong province in China

Journal of Geographical Sciences - Guangdong Province, as one of China’s fast-developing regions, an important manufacturing base, and one of the national first round low-carbon pilots, still...     

Diatom transfer-functions for quantifying past air temperature, pH and total organic carbon concentration from lakes in northern Sweden

The relationships between diatoms (Bacillariophyceae) in surface sediments of lakes and summer air temperature, pH and total organic carbon concentration (TOC) were explored along a steep climatic gradient in northern Sweden to provide a tool to infer past climate conditions from sediment cores. The study sites are in an area with low human impact and range from boreal forest to alpine tundra. Canonical correspondence analysis (CCA) constrained to mean July air temperature and pH clearly showed that diatom community composition was different between lakes situated in conifer-, mountain birch- and alpine-vegetation zones. As a consequence, diatoms and multivariate ordination methods can be used to infer past changes in treeline position and dominant forest type. Quantitative inference models were developed to estimate mean July air temperature, pH and TOC from sedimentary diatom assemblages using weighted averaging (WA) and weighted averaging partial least squares (WA-PLS) regression. Relationships between diatoms and mean July air temperature were independent of lake-water pH, TOC, alkalinity and maximum depth. The results demonstrated that diatoms in lake sediments can provide useful and independent quantitative information for estimating past changes in mean July air temperature (R² _jack = 0.62, RMSEP = 0.86 °C; R² and root mean squared error of prediction (RMSEP) based on jack-knifing), pH (R² _jack = 0.61, RMSEP = 0.30) and TOC (R² _jack = 0.49, RMSEP = 1.33 mg l^-1). The paper focuses mainly on the relationship between diatom community composition and mean July air temperature, but the relationships to pH and TOC are also discussed.     

沉积物记录的亚高山湖泊环境变化——以鄂东南云中湖为例

根据云中湖27 cm长沉积岩芯进行元素、粒度和硅藻多指标分析以及²¹⁰Pb测年,结合流域气候和人类活动等历史资料,反演1958年以来云中湖在气候变化和人类活动影响下的环境变化。冗余分析结果显示云中湖沉积硅藻组合变化与Al、Fe、Pb和温度四个变量显著相关。硅藻属种聚类分析的结果表明云中湖环境变化经历了两个阶段：1958-1993年间喜碱性水体的Achnanthes minutissima和Fragilaria nanana属种大量出现与较高CIA指数响应于气候调控下的流域侵蚀过程;1993年以来气候变暖与旅游发展引起入湖营养盐增加是Cyclotella pseudostelligera和Aulacoseira alpigena等中—富营养硅藻种增殖的主要诱因。重建亚高山湖泊在气候变化以及人类活动影响下湖泊生态系统的演化,为保护亚高山湖泊生态环境和改善流域水质提供参考。     

塔克拉玛干沙漠腹地沙尘气溶胶质量浓度垂直分布特征

 利用Grimm 1.108、Thermo RP 1 400 a以及TSP等仪器于2009年1月至2010年2月对塔克拉玛干沙漠腹地塔中不同高度沙尘气溶胶质量浓度进行连续观测,结合天气资料进行分析。结果表明:①80 m高度PM10质量浓度最高,80 m高度PM2.5和PM1.0质量浓度明显低于4 m高度PM10,80 m高度PM1.0质量浓度最低。频繁的沙尘天气是影响不同粒径的沙尘气溶胶浓度含量的主要因素。②夜间至日出,PM质量浓度逐渐降低,最低基本上出现在08:00,随后质量浓度逐渐增大,18:00前后浓度达到最高值,然后又逐步降低。其规律与风速的昼夜变化完全一致。③TSP月平均质量浓度高值主要集中在3—9月,其中4月和5月浓度最高,随后逐渐减低。3—9月也是PM月平均质量浓度的高值区域,4 m高度PM10月平均质量浓度最高发生在5月,其浓度为846.0 μg·m-3。80 m高度PM10浓度远高于PM2.5和PM1.0浓度,PM2.5和PM1.0浓度相差较小。风沙天气对大气中的不同粒径粒子的浓度含量影响较大,风沙天气越多,粗颗粒含量越高,反之则细颗粒越多。④沙尘天气过程中不同粒径沙尘气溶胶质量浓度变化具有晴天<浮尘天气<扬沙天气<沙尘暴天气的规律。各种沙尘天气中,PM10/TSP表现为晴好天气高于浮尘天气,浮尘天气远高于扬沙和沙尘暴天气。⑤沙尘天气过程中,沙尘气溶胶浓度随着粒径的减小,浓度逐渐降低。不同高度、不同粒径的沙尘气溶胶质量浓度每隔3~4 d形成一个峰值区,与每隔3~4 d出现沙尘天气强度增强过程直接相关。