夏季青藏高原大气热源与西南地区东部旱涝的关系

利用1959～2006年西南地区东部20个测站逐日降水量资料和NCEP/NCAR再分析月平均资料,分析了夏季青藏高原大气热源特征,指出了影响西南地区东部夏季旱涝的热源关键区域,并就关键区大气热源对该区域夏季旱涝的影响进行了诊断,得出了以下主要结论:西南地区东部夏季降水与高原主体东南部的热源变化关系密切,当该区域(该区域...     

光及补料条件对室内管道光反应器中三角褐指藻生长和岩藻黄素积累的影响

【目的】制备富含岩藻黄素的三角褐指藻(Phaeodactylum tricornutum)生物质。【方法】采用470 L室内管道光生物反应器系统,研究自养培养下光源、调光策略、补料培养操作条件对于细胞生长、生物量浓度和岩藻黄素积累的影响。【结果】在采用LED灯、梯度提升照度及重复补料半连续培养模式下,三角褐指藻细胞密度、生物量和岩藻黄素产率最高分别可达3.16×10⁷mL^-1、1.64 g/L和1.90 mg/(L·d),分别是日光灯为光源条件下的2.77倍、3.09倍和2.38倍(P<0.01)。【结论】在管道光生物反应器中获得的自养培养条件,可强化三角褐指藻生物量和岩藻黄素积累,为三角褐指藻积累岩藻黄素的室内可控规模化技术开发提供指导。     

POS数据的上下视差误差源检测及误差补偿回归模型

分析POS数据存在系统误差的主要原因,推导基于POS的立体像对相对定向模型,建立POS系统误差回归补偿模型。三个不同比例尺测区试验数据的结果表明：POS系统提供的外方位元素中角元素误差是引起模型上下视差的主要误差源;利用回归补偿模型对POS数据进行改正后模型上下视差明显减小;在无需区域网平差的情况下,直接通过相对定向消除POS系统误差,定位精度有较大提高,从而证明该补偿模型的正确性与可行性。     

大气点源扩散模型的GIS可视化研究

本文针对目前城市环境中大气污染扩散的可视化研究中存在的主要问题,利用大气点源扩散模型和GIS技术相集成的方法对点源污染扩散的可视化问题进行了探索。在研究中,首先在总体上介绍了点源扩散模型和GIS技术的集成框架,然后描述了大气点源扩散模型可视化实现的方法和过程,并给出了典型条件下的可视化结果图,它能够更加直观地表达大气点源扩散的动态可视化效果。     

基于开源平台构建WebGIS应用系统

本文介绍了开源GIS平台Geoserver及开源客户端OpenLayers,在此基础之上架构了一个三层B/S结构的WebGlS的应用系统,分析了各层的基本功能;对WebGIS系统的GIS服务器配置、空间数据库创建、客户端实现过程中涉及的部分关键技术及解决方法进行了详细的阐述.实验结果表明,基于开源GIS平台可以开发低成...     

遥感技术在数字地图更新中的应用

从遥感技术的发展现状出发,研究了数字地图制图的数据来源和数据更新途径,介绍了利用高分辨率遥感影像更新数字地图的流程,充分利用遥感影像有效、快速的完成数字地图更新的技术方法。     

Effects of Watershed Land Use and Lake Morphometry on the Trophic State of Chinese Lakes: Implications for Eutrophication Control

Water quality in lakes is influenced by a large number of watershed and lake characteristics. In this study, we examined the relative effects of watershed land use and lake morphology on the trophic state of 19 lakes in the Yunnan plateau and lower Yangtze floodplain, the two most eutrophic regions in China. Trophic state parameters consisted of total nitrogen, total phosphorus, chemical oxygen demand, chlorophyll‐a, Secchi depth, and trophic state index, while lake morphometric variables included area, maximum depth, mean depth, water residence time (WRT), volume, and length to width ratio. Percentages of forest, grassland, cropland, unused land, built‐up land, and water body in each lake's watershed were extracted from a land use map interpreted from Landsat TM images. A t‐test indicated that lower Yangtze floodplain lakes were shallower and had higher percentages of cropland and built‐up land in watersheds than Yunnan plateau lakes. Pearson's correlation analysis indicated that both watershed land use and lake morphometric variables were significantly related to most of the trophic state parameters. However, stepwise regression analyses demonstrated that the trophic state of the lower Yangtze floodplain lakes was mainly controlled by the percentages of cropland and built‐up land in watersheds, while that of Yunnan plateau lakes was mostly determined by the lake depth and WRT. These results suggest that the relative effects of watershed land use and lake morphology on lake trophic state are dependent on the lake's location. This study can provide some useful information in watershed land use management for controlling eutrophication in Chinese lakes.     

Uncertainty assessment for watershed water quality modeling: A Probabilistic Collocation Method based approach

Watershed water quality models are increasingly used in management. However, simulations by such complex models often involve significant uncertainty, especially those for non-conventional pollutants which are often poorly monitored. This study first proposed an integrated framework for watershed water quality modeling. Within this framework, Probabilistic Collocation Method (PCM) was then applied to a WARMF model of diazinon pollution to assess the modeling uncertainty. Based on PCM, a global sensitivity analysis method named PCM-VD (VD stands for variance decomposition) was also developed, which quantifies variance contribution of all uncertain parameters. The study results validated the applicability of PCM and PCM-VD to the WARMF model. The PCM-based approach is much more efficient, regarding computational time, than conventional Monte Carlo methods. It has also been demonstrated that analysis using the PCM-based approach could provide insights into data collection, model structure improvement and management practices. It was concluded that the PCM-based approach could play an important role in watershed water quality modeling, as an alternative to conventional Monte Carlo methods to account for parametric uncertainty and uncertainty propagation.     

DuMu: DUNE for multi-{phase, component, scale, physics, …} flow and transport in porous media

DuMu^x is a free and open-source simulator for flow and transport processes in porous media, based on the Distributed and Unified Numerics Environment (DUNE). Its main intention is to provide a sustainable and consistent framework for the implementation and application of model concepts, constitutive relations, discretizations, and solvers. The paper provides an overview of DuMu^x with the focus on software-related aspects. Selected examples highlight the multi-scale and the parallel capabilities.     

A fracture study by using bipole–bipole cross-well logging

Electrical Resistivity Tomography (ERT) can provide images of subsurface electrical structure between two boreholes. Data quality control is a key issue before ERT inversion. However, there is no effective data quality control method on an ERT survey. In this paper, a method called common current gather for a bipole–bipole array (CCGbb) was proposed to check ERT data quality in a rapid way. Synthetic models were conducted to compare the response difference between pole–pole array and bipole–bipole array. A field work at granite area was tested to verify the applicability of the proposed CCGbb method. From the results of this study, we suggested that conducting CCGbb before ERT inversion and a cross-borehole tracer test for both field data quality control and possible water conducting fractures (WCFs) delineation.