1980-2019年青藏高原积雪深度时空差异性分析北大核心CSCD

积雪是地表特征的重要参数,其对辐射收支、能量平衡及天气和气候变化有重要影响。利用1980-2019年被动微波遥感积雪深度资料对青藏高原积雪时空特征进行分析,在此基础上将高原划分为东部、南部、西部及中部4个区域,并分区域讨论了多时间尺度积雪的变化特征及其与气温、降水的相关关系。结果表明:不同区域积雪深度在不同时间尺度的变化特征存在差异,高原东部积雪深度累积和消融的速率比西部快,南部积雪深度累积和消融速率比中部快。季节尺度上,冬季积雪高原东部最大,中部最小;春季积雪高原东部消融速率最大,西部积雪消融较慢但积雪深度最大;夏季高原西部仍有积雪存在。年际尺度上,各区域积雪深度在1980-2019年均呈现缓慢下降趋势,但东部积雪减少不显著;高原东部积雪深度在1980-2019年呈现出增加-减少-增加-减少的变化,其余3区均呈现出减少-增加-减少-增加-减少的变化。不同区域积雪深度对气温、降水的响应不同,高原东部和中部积雪深度与气温相关性较好;各区域积雪深度与降水呈不显著的正相关关系。     

Temporal-spatial variations of euphotic depth of typical lake regions in Lake Taihu and its ecological environmental significance

Euphotic depth can be defined as the portion of wa- ter column that supports the net primary productivity. Its lower end is the critical depth, namely, the depth measured when the daily net primary productivity is zero[1]. In the ecosystems of oceans, lakes and rivers, phytoplankton live in the euphotic depth and euphotic depth is usually taken as the lower boundary, when studying the primary productivity and biomass of phytoplankton; therefore the corresponding depth is sometimes called the t…     

The light transmission and seiche depth of Izmir Bay,western Turkey

Izmir Bay is one of the most polluted estuaries in the whole Mediterranean Sea. The inner part of the Bay (Inner Bay) is heavily affected by domestic and industrial discharge. As a result of these loads, strong eutrophication occurs in the Inner Bay, which is temporally anaerobic. The ecologically sensitive approach of the local authorities during the last decade has given rise to a wide variety of monitoring and research studies on this bay. On the other hand, the municipality of Izmir started to operate wastewater treatment facilities since January 2000. The Institute of Marine Sciences and Technology — Izmir (IMST) with its research vessel R/V K Piri Reis has been conducting an intensive monitoring program since 1988 and especially during the recent few years. These investigations provide an opportunity for the evaluation of the performance of the wastewater treatment plant in terms of the change in the optical properties of Izmir Bay water in a positive manner. The turbidity values measured in these monitoring studies indicate that the values have changed drastically after January 2000. Their spatial variation indicates that the values decrease from the Inner Bay towards the Aegean Sea. The turbidity (light transmission) values are measured with an automatic CTD (conductivity, temperature and depth) system during each cruise. The seiche disc depth measurement is carried out only occasionally. The accuracy of the seiche disc depth is dependent on certain daylight conditions and depends on the operator. The seiche disc depth (D _s) is an important parameter to estimate primary production of organic matter (hereafter called production). A relation between light transmission (turbidity) value and seiche disc depth (D _s) is found with very good agreement. The correlations are very high (approximately 0.94) with slight seasonal variation.     

基于MODIS雪盖数据的北疆雪深多元非线性回归克里金插值

为了提高北疆地区雪深时空分布监测的准确性,以该区域48个气象站点2006年12月—2007年1月的月平均雪深观测数据为基础,通过分析月均雪深空间自相关性及其与经纬度、高程的相关性,结合MODIS雪盖数据构建了多元非线性回归克里金插值方法,插值获得了北疆地区较高精度的雪深空间分布数据。将插值雪深数据与普通克里金插值法、考虑高程为辅助变量的协同克里金插值法的预测结果进行比较,结果表明:1相对普通克里金和协同克里金方法,多元非线性回归克里金法的12月份雪深预测精度分别提高了15.14%和9.54%,1月份的提高了4.8%和6.7%;2由于充分利用了经纬度和地形信息,多元非线性回归克里金法的雪深预测结果可提供更多细节信息;3预测结果客观地表达了雪深随经纬度和地形变化的趋势,反映了积雪深度的空间变异性;4基于不显著相关的协变量高程的协同克里金插值法预测的雪深数据精度劣于普通克里金插值法的预测结果。     

Cross-calibration of brightness temperature obtained by FY-3B/MWRI using Aqua/AMSR-E data for snow depth retrieval in the Arctic

This study cross-calibrated the brightness temperatures observed in the Arctic by using the FY-3B/MWRI L1 and the Aqua/AMSR-E L2A. The monthly parameters of the cross-calibration were determined and evaluated using robust linear regression. The snow depth in case of seasonal ice was calculated by using parameters of the crosscalibration of data from the MWRI T_b. The correlation coefficients of the H/V polarization among all channels T_b of the two sensors were higher than 0.97. The parameters of the monthly cross-calibration were useful for the snow depth retrieval using the MWRI. Data from the MWRI T_b were cross-calibrated to the AMSR-E baseline.Biases in the data of the two sensors were optimized to approximately 0 K through the cross-calibration, the standard deviations decreased significantly in the range of 1.32 K to 2.57 K, and the correlation coefficients were as high as 99%. An analysis of the statistical distributions of the histograms before and after cross-calibration indicated that the FY-3B/MWRI T_b data had been well calibrated. Furthermore, the results of the cross-calibration were evaluated by data on the daily average T_b at 18.7 GHz, 23.8 GHz, and 36.5 GHz(V polarization), and at 89 GHz(H/V polarization), and were applied to the snow depths retrieval in the Arctic. The parameters of monthly cross-calibration were found to be effective in terms of correcting the daily average T_b. The results of the snow depths were compared with those of the calibrated MWRI and AMSR-E products. Biases of 0.18 cm to 0.38 cm were observed in the monthly snow depths, with the standard deviations ranging from 4.19 cm to 4.80 cm.     

鄂西南岩溶地区表层岩溶带发育强度变化规律研究

鄂西南岩溶地区表层岩溶个体形态复杂多样,表层岩溶带发育与鄂西南地区岩溶地质环境条件及岩溶发育演变的历史过程密切相关.因此,通过野外地质调查与收集"沪蓉西"高速公路勘察资料.采用系统工程地质分析为主的方法,研究了表层岩溶带在不同的地质构造部位、地层岩性、地形地貌部位及深部岩溶水补径排区的发育强度及其变化规律.详细论述了表层岩溶带的空间发育强度.首次定量界定了该区表层岩溶带的最大发育深度为56.54m,最浅为4.5m,阐明了表层岩溶带从山顶、山脊到山脚、沟谷由弱到强的总体变化规律.     

南疆盆地沙尘气溶胶光学特性及我国沙尘天气强度划分标准的研究

依据气溶胶光学厚度测量原理,利用布设于塔里木盆地腹地塔中和盆地西南边缘和田气象站的2部CE318自动跟踪太阳光度计于2002年6月至2003年11月期间的探测结果,结合地面气象实测资料,分析了南疆盆地大气气溶胶的光学特性。同时结合我国已有的沙尘气溶胶光学特性的研究成果,初步提出了依据气溶胶光学厚度判断沙尘天气强度的标准。结果表明:塔中、和田气溶胶光学厚度随波长的增大多呈现减小趋势,塔中个别季节有些例外;2站气溶胶光学厚度的日变化基本保持对称的抛物线形,在春、夏季尤为明显;Angstrom浑浊度系数β的拟合曲线显示β随能见度增大而减小,波长指数α随能见度的变化趋势说明弱沙尘天气下,大气中主要弥漫着小粒径的气溶胶颗粒,而强沙尘天气则以大粒径为主;沙尘气溶胶光学厚度随晴空、浮尘、扬沙、沙尘暴依次增加;沙尘天气发生时,气溶胶光学厚度的临界值基本为晴空值的两倍,沙漠地区气溶胶光学厚度≥1.1206,北京≥0.3174。而发生沙尘暴的阈值则有很大不同,沙漠区气溶胶光学厚度至少 > 3.0,北京由于大气污染等因素,其判断沙尘暴发生的阈值为1.9982。另外笔者认为AOD与水平能见度之比值能够较全面地考虑水平和垂直两个方向的要素变化,衡量沙尘天气强度更具有合理意义,值得更深一步的探讨。     

东昆仑祁漫塔格矿带典型矿田构造背景与岩浆-热力构造特征

以矿田构造–岩相填图为主要方法,研究确定矿田构造和岩浆-热力构造类型及矿床类型,进行成矿富集中心的圈定及找矿预测,是矿田构造背景复杂地区的有效调研方法之一。东昆仑西段祁漫塔格矿带多期构造–岩浆活动强烈,断裂发育,以印支晚期岩浆侵入成矿与找矿进展较大。本次选择景忍–虎头崖、卡尔却卡B区、乌兰乌珠尔三个矿田区,进行1∶10000构造–岩相填图,填制了三个矿田区岩浆–热力构造类型分布图,认为晚三叠世岩浆侵入作用是该区多金属大规模成矿的主要内因,叠加其上的不同方向断裂控矿作用不同,近东西向和北西西向断裂控矿显著,明确了各矿田构造背景和印支期岩浆侵入形成的花岗斑岩+矽卡岩+断裂带热液成矿的模式,厘定了岩浆–热力构造的识别标志,即主要是印支晚期中酸性侵入岩、花岗斑岩、矽卡岩带、大理岩带、接触交代蚀变带、断裂破碎带叠加热液蚀变带等,圈定了成矿和找矿富集中心。     

含油玄武岩中绿泥石的形成温度

以苏北盆地高邮凹陷闵桥地区含油玄武岩中的绿泥石为研究对象，探讨了其成因和形成温度，认为玄武岩中绿泥石有两种形成方式、五条形成途径：其一为蚀变演化，包括：火山玻璃、斜长石、辉石的蚀变，交代橄榄石斑晶，以及皂石的进一步演化；其二为沉淀结晶，包括从热液中直接沉淀生长和胶体溶液充填后的结晶。计算结果显示，蚀变演化形成的绿泥石，其形成温度为128－271℃；沉淀结晶形成的绿泥石，其形成温度为31－63℃。玄武岩中绿泥石形成温度与埋藏深度间没有明显的线性相关。进一步研究表明，本区玄武岩作为储油层，其进油时的温度为62－118℃，不超出48－137℃。     

培矮64S冷灌繁种技术研究

通过对低温敏核不育系培矮６４Ｓ育性敏感期间冷水处理后温度场分布特征和自交结实率的资料分析，得出培矮６４Ｓ的灌水始期是冷灌后的见穗期往前推１８天，终止期为见穗期往前推３天，灌水深度前１０天为１５ｃｍ，，后５天为２０ｃｍ，，为“冷繁”技术在生产上应用提供了理论依据。