大尺度水循环模拟系统不确定性研究进展(英文)

The regional hydrological system is extremely complex because it is affected not only by physical factors but also by human dimensions.And the hydrological models play a very important role in simulating the complex system.However,there have not been effective methods for the model reliability and uncertainty analysis due to its complexity and difficulty.The uncertainties in hydrological modeling come from four important aspects:uncertainties in input data and parameters,uncertainties in model structure,uncertainties in analysis method and the initial and boundary conditions.This paper systematically reviewed the recent advances in the study of the uncertainty analysis approaches in the large-scale complex hydrological model on the basis of uncertainty sources.Also,the shortcomings and insufficiencies in the uncertainty analysis for complex hydrological models are pointed out.And then a new uncertainty quantification platform PSUADE and its uncertainty quantification methods were introduced,which will be a powerful tool and platform for uncertainty analysis of large-scale complex hydrological models.Finally,some future perspectives on uncertainty quantification are put forward.     

波浪扰动对太湖底泥磷释放影响模拟

为揭示波浪扰动对湖泊底泥磷释放的影响,在波浪水槽中模拟了不同波高情况下扰动对水体、水土界面、底泥间隙水的磷、溶解氧等的影响.结果显示,在大波扰动下,沉积物大量悬浮,水体总磷随之增加,溶解性磷增加却不显著;波浪扰动显著增加了水体和沉积物界面的溶解氧浓度,并增加了溶解氧在沉积物的侵蚀深度;波浪扰动降低了沉积物表层10 cm内间隙水中的磷浓度,而10 cm以下沉积物中间隙水中磷浓度基本保持不变.研究表明,波浪扰动可迅速增加水体中颗粒态的营养盐,但是对于溶解态营养盐,尤其是水体中活性磷浓度的影响,则受沉积物性质、水-沉积物间隙水磷浓度差,以及水-沉积物中氧含量等多方面因素的影响.     

多种地球物理场观测数据中亚失稳现象

20100124山西河津M4.8地震前,临汾地震台宽频倾斜仪记录到与实验室岩石破裂亚失稳过程类似图像,震源及附近地区也出现多项准同步性的短临异常。本文对这次地震前震源及附近地区多种地球物理场观测数据在发震断层黏滑失稳前不同阶段的变化特征进行了探讨。结果表明：1）震前记录到的亚失稳现象并非单点单测项,而是具有多点多物理场的群体性特征;2）这些异常出现的时间与临汾宽频倾斜仪记录的亚失稳事件时间基本同步,其形态上以大幅突变为主,时间上多集中在震前45 d左右,空间上主要集中在距震中100 km的范围内,且具有随时间从外围向震中区集中的特点;3）震前不仅在多种地球物理场观测数据中记录到类似亚失稳现象,而且在震前1~6 d一些地球物理场观测仪器还记录到与发震断层失稳前预滑有关的小事件;4）震前临汾宽频倾斜仪记录到的亚失稳现象、震源及附近地区出现多项准同步性的短临异常,是在震源及附近地区的区域应力场增强、介质特性发生改变的情况下出现的,可能与河津地震有关;5）震前多种地球物理场异常随时间推移显示出协同化的特点,即沿发震断裂方向有由外围向震中迁移和集中的特点。     

基于EMD组合模型的径流多尺度预测

受全球气候变化与人类活动影响,径流序列愈发呈现出非稳态与非线性特征,为降低由此而引发的预报误差,充分发挥不同模型对提高径流预测精度的优势,针对传统径流预报模型的单一性,以干旱区典型内陆河玛纳斯河为例,采用经验模态分解(EMD)提取径流序列中具有物理含义的信号,得到不同时间尺度的多个固有模态函数(IMF)及1个趋势项,利...     

后疫情时代全球石油供需格局研究

2017年以来,全球石油消费持续疲软,消费增速呈逐渐下降的趋势,新冠肺炎疫情对石油需求的打击更是"雪上加霜".本文回顾了疫情发生以来国际原油价格及大型油气公司股票价格的走势,探讨了疫情对全球石油需求和供应市场的影响,研判了短期及中长期全球石油供需格局,得出了三点结论:(1)疫情对全球石油需求产生重大冲击,预计2020年...     

流域防洪效益计算宏观模型

针对现有防洪效益计算模型所需资料多、计算复杂等问题,本文在符合防洪效益特点的宏观假定基础上,提出了防洪效益计算的洪水频率面积系数和洪水频率严重系数,并用水文学和数理统计的有关原理导出了流域防洪系统效益计算的宏观模型。算例研究的结果表明:模型理论上合理,实际应用简单,可操作性强。     

Mid-Late Neoproterozoic rift-related volcanic rocks in China: Geological records of rifting and break-up of Rodinia

Early Cambrian and Mid-Late Neoproterozoic volcanic rocks in China are widespread on several Precambrian continental blocks,which had aggregated to form part of the Rodinia supercontinent by ca.900 Ma....     

松花湖富营养化现状及其影响因素分析

通过2002年和2003年对东北地区松花湖水体富营养化状况进行调查和采样分析，对大量数据的多元相关分析和多元逐步回归分析、AGP试验和利用综合营养状态指数法进行评价。结果表明：松花湖处在中营养和轻度富营养状态；总磷是限制水体富营养化的主要因子之一。水体中变温层的形成，限制了上、下层湖水的混合，对下层水体中的溶解氧、无机氮和可溶性磷酸盐产生影响，随着变温层的消失，下层内的营养物质转移到湖上层，为藻类的繁殖提供条件。     

Characteristics of dry-wet abrupt alternation events in the middle and lower reaches of the Yangtze River Basin and the relationship with ENSO

During recent decades, more frequent flood-drought alternations have been seen in China as a result of global climate change and intensive human activities, which have significant implications on water and food security. To better identify the characteristics of flood-drought alternations, we proposed a modified dry-wet abrupt alternation index (DWAAI) and applied the new method in the middle and lower reaches of the Yangtze River Basin (YRB-ML) to analyze the long-term spatio-temporal characteristics of dry-wet abrupt alternation (DWAA) events based on the daily precipitation observations at 75 rainfall stations in summer from 1960 to 2015. We found that the DWAA events have been spreading in the study area with higher frequency and intensity since 1960. In particular, the DWAA events mainly occurred in May and June in the northwest of the YRB-ML, including Hanjiang River Basin, the middle reaches of the YRB, north of Dongting Lake and northwest of Poyang Lake. In addition, we also analyzed the impact of El Niño Southern Oscillation (ENSO) on DWAA events in the YRB-ML. The results showed that around 41.04% of DWAA events occurred during the declining stages of La Niña or within the subsequent 8 months after La Niña, which implies that La Niña events could be predictive signals of DWAA events. Besides, significant negative correlations have been found between the modified DWAAI values of all the rainfall stations and the sea surface temperature anomalies in the Nino3.4 region within the 6 months prior to the DWAA events, particularly for the Poyang Lake watershed and the middle reaches of the YRB. This study has significant implications on the flood and drought control and water resources management in the YRB-ML under the challenge of future climate change.     

基于GA-SVM封装算法的高光谱数据特征选择

封装型的特征选择算法相对于过滤算法而言更有助于提高分类精度,因此在当前计算技术及效率快速发展的背景下必将成为未来之趋势。本文以支持向量机(SVM)为分类器,遗传算法(GA)为特征子集的搜索算法,构建了封装型的特征选择算法GA-SVM,并用ENVI/IDL语言编程实现,最后以HYPERION高光谱数据为例对算法予以应用。结果表明,GA-SVM算法可从196个波段中选择出13个波段,同时分类精度较不做特征选择时提高了约4%。由此可见,GA-SVM封装型特征选择算法具有较好的同时优化特征子集和SVM核函数的性能,可为当前高光谱数据的特征选择提供一个较好的算法。