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131.
Francis Pavanathara Augustine Jithin Abraham Kaduvathazham Chatterjee Abhisek Mukherjee Arnab Shankar Doraiswamy Vinayachandran Puthenveettil Narayanamenon Ramakrishna Surireddi Satya Venkata Siva 《Ocean Dynamics》2020,70(3):387-404
Ocean Dynamics - The structure and variability of undercurrents in the East India Coastal Current (EICC), which is the western boundary current system in the Bay of Bengal (BoB), and the mechanisms... 相似文献
132.
Flood modelling inputs used to create flood hazard maps are normally based on the assumption of data stationarity for flood frequency analysis. However, changes in the behaviour of climate systems can lead to nonstationarity in flood series. Here, we develop flood hazard maps for Ho Chi Minh City, Vietnam, under nonstationary conditions using extreme value analysis, a coupled 1D–2D model and high-resolution topographical data derived from LiDAR (Light Detection and Ranging) data. Our findings indicate that ENSO (El Niño Southern Oscillation) and PDO (Pacific Decadal Oscillation) influence the magnitude and frequency of extreme rainfall, while global sea-level rise causes nonstationarity in local sea levels, having an impact on flood risk. The detailed flood hazard maps show that areas of high flood potential are located along river banks, with 0.60 km2 of the study area being unsafe for people, vehicles and buildings (H5 zone) under a 100-year return period scenario. 相似文献
133.
采用粉末样品压片制样,利用Epsilon3能量色散X射线荧光光谱仪(EDXRF)对我国边缘海碎屑沉积物中28种主量元素和微量元素进行测定。使用33个海洋沉积物、深海沉积物、水系沉积物、三角洲沉积物和岩石标样等国内外标准物质建立标准曲线,采用仪器软件的数学模式校正基体效应和元素间的谱线重叠效应。经国家标准物质检验,分析结果与标样值吻合;元素的检出限为0.02~124.14μg·g-1;精密度(RSD)均小于9%。对我国边缘海碎屑沉积物样品进行分析,其测定值与重量法、电感耦合等离子体光谱法和电感耦合等离子体质谱法的测定值基本一致。鉴于Epsilon3 EDXRF具有体积小、多元素同时快速分析、准确度高和精密度好的优点,可考虑作为船载仪器,在科考现场测定海洋沉积物的元素含量,对于及时指导海上工作、撰写航次报告具有重要作用。 相似文献
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The forecast of solar cycle (SC) characteristics is crucial particularly for several space-based missions. In the present study, we propose a new model for predicting the length of the SC. The model uses the information of the width of an autocorrelation function that is derived from the daily sunspot data for each SC. We tested the model on Versions 1 and 2 of the daily international sunspot number data for SCs 10?–?24. We found that the autocorrelation width \(A_{\mathrm{w}} ^{n}\) of SC \(n\) during the second half of its ascending phase correlates well with the modified length that is defined as \(T_{\mathrm{cy}}^{n+2} - T_{\mathrm{a}}^{n}\). Here \(T_{\mathrm{cy}}^{n+2}\) and \(T_{ \mathrm{a}}^{n}\) are the length and ascent time of SCs \(n+2\) and \(n\), respectively. The estimated correlation coefficient between the model parameters is 0.93 (0.91) for Version 1 (Version 2) sunspot series. The standard errors in the observed and predicted lengths of the SCs for Version 1 and Version 2 data are 0.38 and 0.44 years, respectively. The advantage of the proposed model is that the predictions of the length of the upcoming two SCs (i.e., \(n+1\), \(n+2\)) are readily available at the time of the peak of SC \(n\). The present model gives a forecast of 11.01, 10.52, and 11.91 years (11.01, 12.20, and 11.68 years) for the length of SCs 24, 25, and 26, respectively, for Version 1 (Version 2). 相似文献
136.
以全鱼粉饲料做对照(D1),用豆粕替代10%、20%鱼粉(D2、D3),玉米蛋白替代10%鱼粉(D4),啤酒酵母替代10%鱼粉(D5),配制5组等氮等能饲料,进行56 d的养殖实验,研究3种替代蛋白源对褐点石斑鱼幼鱼(23.18±1.58g)生长性能、体成分及能量收支的影响。结果表明,实验条件下5组实验鱼的末体质量、增重率、特定生长率、肝体系数、脏体系数、肥满度和蛋白表观消化率差异不显著(p值>0.05)。饲料转化效率、蛋白质效率、干物质和能量表观消化率差异显著(p值<0.05),D2组最好而D5组最差。5组实验鱼全鱼和肌肉成分中粗蛋白含量无显著差异,全鱼水分含量也无显著差异(p值>0.05),其他指标则有显著差异(p值<0.05)。5组实验鱼的排泄能及呼吸能无显著差异(p值>0.05),摄食能、生长能和排粪能有显著差异(p值<0.05),D1、D2和D3组能量分配较好,而D4和D5组较差。与全鱼粉饲料相比,豆粕替代10%鱼粉显著提高了幼鱼的饲料转化效率和蛋白质效率,而豆粕替代20%鱼粉亦未对幼鱼产生不良影响,豆粕为褐点石斑鱼幼鱼饲料中鱼粉蛋白较好的替代品。 相似文献
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139.
Chitrini Mozumder K. Venkata Reddy Deva Pratap 《Journal of the Indian Society of Remote Sensing》2013,41(2):269-277
There is a need for timely information about changes in the air pollution levels in cities for adopting precautionary measures. Keeping this in view, an attempt has been made to develop a model which will be useful to obtain air quality information directly from remotely sensed data easily and quickly. For this study pixel values, vegetation indices and urbanization index from IRS P6 LISS IV and Landsat ETM+ images were used to develop regression based models with Air Pollution Index (API), which were calculated from in-situ air pollutant information. It was found that among the 12 parameters of IRS, highest correlation exists between pixel values in NIR (Near Infra-Red) band (Pearson correlation ?0.77) and Normalized Difference Vegetation Index (NDVI) (Pearson correlation ?0.68) and both have inverse relationship with API. In case of Landsat, the highest correlation was observed in SWIR (Short Wave Infra-Red) band (Pearson correlation ?0.83) and NIR (Pearson correlation ?0.78). Both single and multivariate regression models were calibrated from best correlated variables from IRS and Landsat. Among all the models, multivariate regression model from Landsat with four most correlated variables gave the most accurate air pollution image. On comparison between the API modeled and API interpolated images, 90.5 % accuracy was obtained. 相似文献
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