Using raw regional climate model outputs for quantifying climate change impacts on hydrology

General circulation model outputs are rarely used directly for quantifying climate change impacts on hydrology, due to their coarse resolution and inherent bias. Bias correction methods are usually applied to correct the statistical deviations of climate model outputs from the observed data. However, the use of bias correction methods for impact studies is often disputable, due to the lack of physical basis and the bias nonstationarity of climate model outputs. With the improvement in model resolution and reliability, it is now possible to investigate the direct use of regional climate model (RCM) outputs for impact studies. This study proposes an approach to use RCM simulations directly for quantifying the hydrological impacts of climate change over North America. With this method, a hydrological model (HSAMI) is specifically calibrated using the RCM simulations at the recent past period. The change in hydrological regimes for a future period (2041–2065) over the reference (1971–1995), simulated using bias‐corrected and nonbias‐corrected simulations, is compared using mean flow, spring high flow, and summer–autumn low flow as indicators. Three RCMs driven by three different general circulation models are used to investigate the uncertainty of hydrological simulations associated with the choice of a bias‐corrected or nonbias‐corrected RCM simulation. The results indicate that the uncertainty envelope is generally watershed and indicator dependent. It is difficult to draw a firm conclusion about whether one method is better than the other. In other words, the bias correction method could bring further uncertainty to future hydrological simulations, in addition to uncertainty related to the choice of a bias correction method. This implies that the nonbias‐corrected results should be provided to end users along with the bias‐corrected ones, along with a detailed explanation of the bias correction procedure. This information would be especially helpful to assist end users in making the most informed decisions.     

The exponential decline in saturated hydraulic conductivity with depth: a novel method for exploring its effect on water flow paths and transit time distribution

The strong vertical gradient in soil and subsoil saturated hydraulic conductivity is characteristic feature of the hydrology of catchments. Despite the potential importance of these strong gradients, they have proven difficult to model using robust physically based schemes. This has hampered the testing of hypotheses about the implications of such vertical gradients for subsurface flow paths, residence times and transit time distribution. Here we present a general semi‐analytical solution for the simulation of 2D steady‐state saturated‐unsaturated flow in hillslopes with saturated hydraulic conductivity that declines exponentially with depth. The grid‐free solution satisfies mass balance exactly over the entire saturated and unsaturated zones. The new method provides continuous solutions for head, flow and velocity in both saturated and unsaturated zones without any interpolation process as is common in discrete numerical schemes. This solution efficiently generates flow pathlines and transit time distributions in hillslopes with the assumption of depth‐varying saturated hydraulic conductivity. The model outputs reveal the pronounced effect that changing the strength of the exponential decline in saturated hydraulic conductivity has on the flow pathlines, residence time and transit time distribution. This new steady‐state model may be useful to others for posing hypotheses about how different depth functions for hydraulic conductivity influence catchment hydrological response. Copyright © 2016 John Wiley & Sons, Ltd.     

Erodibility of low‐compaction steep‐sloped reclaimed surface mine lands in the southern Appalachian region,USA

The use of loose spoils on steep slopes for surface coal mining reclamation sites has been promoted by the US Department of Interior, Office of Surface Mining for the establishment of native forest, as prescribed by the Forest Reclamation Approach (FRA). Although low‐compaction spoils improve tree survival and growth, erodibility on steep slopes was suspected to increase. This study quantified a combined K_C factor (combining the effects of the soil erodibility K factor and cover management C) for low compaction, steep‐sloped (>20°) reclaimed mine lands in the Appalachian region, USA. The combined K_C factor was used because standard Unit Plot conditions required to separate these factors, per Revised Universal Soil Loss Equation (RUSLE) experimental protocols, were not followed explicitly. Three active coal mining sites in the Appalachian region of East Tennessee, each containing four replicate field plots, were monitored for rainfall and sediment yields during a 14‐month period beginning June 2009. Average cumulative erosivity for the study sites during the monitoring period was measured as 5248.9 MJ·mm·ha^?1·h^?1. The K_C ranged between 0.001 and 0.05 t·ha·h·ha^?1·MJ^?1·mm^?1, with the highest values occurring immediately following reclamation site construction as rills developed (June – August 2009). The K_C for two study sites with about an 18–20 mm spoil D₈₄ were above 0.01 t·ha·h·ha^?1·MJ^?1·mm^?1 during rill development, and below 0.003 t·ha·h·ha^?1·MJ^?1·mm^?1 after August 2009 for the post‐rill development period. The K_C values for one site with a 40 mm spoil D₈₄ were never above 0.008 t·ha·h·ha^?1·MJ^?1·mm^?1 and also on average were lower, being more similar to the other two sites after the rill development period. Based on an initial K_C factor (K_e) measured during the first few storm events, the average C factor (C_e) was estimated as 0.58 for the rill development period and 0.13 for the post‐rill development period. It appears that larger size fractions of spoils influence K_C and C_e factors on low‐compaction steep slopes reclamation sites. Copyright © 2013 John Wiley & Sons, Ltd.     

天地图·安徽综合服务系统的设计与实现

统计数据基于地理信息的集成,可以弥补传统的统计信息单一、不直观的表现形式,充分发挥其在政府管理决策中所起的重要作用以及对社会发展的导向作用。本文通过研究建立综合统计数据模型,阐述了数据来源、数据组织、空间数据模型建立及查询逻辑。以安徽省综合信息服务系统为例,在基于天地图·安徽的地图服务和Arc GIS API For Flex开发包的基础上,完成Flex框架下的客户端设计,采用Web Service数据通信技术来完成综合统计信息服务系统的设计与实现。     

基于“一张图”平台的国土资源执法监察系统设计与研究

从土地执法监察管理的实际需求出发,探讨了基于"一张图"平台的国土资源执法监察系统建设方案,设计了土地执法监察系统结构和功能模块,并进一步给出了土地执法监察数据库建设和数据交换的技术方法。该系统方案的应用将有利于快速、准确地监控国土资源违法行为,强化对国土资源违法行为的监控能力,有效地提高了国土部门执法监察工作效率和执法水平。     

浅析GIS的地下管线查询与管理系统

城镇地下管线就像是城镇的脉络,对于城镇的运转非常重要,肩负着为城镇运送物质能量、输出废弃物的重要使命。随着城镇的扩建,敷设于地下的管线不断向周围扩张,其规模不断膨胀,因此,也变得越来越复杂。传统的管线管理方式不仅数据的查询效率低,导致因管线错挖而造成的爆管事故频发,而且不能及时准确地进行应急处理。所以在告别传统落后的地下管线管理方式的同时,我们应思考如何能够更好的管理大量的地下管线数据,从而提高了数据的查询与应急管理的效率,为城镇规划和发展提供更好的支撑作用。     

自适应联邦滤波器在GPS-INS-Odometer组合导航的应用

针对多传感器观测信息较多、计算效率较低、对动力学模型误差稳键性不佳的问题,提出了一种自适应联邦滤波器并应用于GPS-INS-Odometer组合导航。首先介绍GPS-INS-Odometer组合导航的动力学模型和观测模型,比较分析了信息分配因子和自适应因子的共同特性,论证了联邦滤波器和自适应滤波器的等价性及其等价成立条件,提出了自适应联邦滤波器的信息分配因子构造方法。最后利用实测数据验证了算法的有效性。结果表明,相比于基于GPS和Odometer(里程计)初始方差构造信息分配因子的联邦滤波器,本文提出的自适应联邦滤波器兼容了联邦滤波器高效计算效率,且具有较好的抵抗动力学模型误差效果,能够有效削弱多传感器动力学模型误差对于导航解算的影响,对直接可测参数和间接可测参数的精度提高均起到了积极的作用。     

基于 ArcG IS 和 Python 集成开发可达性分析工具的研究

为降低可达性度量的实现难度,弥补现有GIS软件没有集成可达性分析模型或方法的不足,在详尽分析有关模型或方法与GIS集成研究现状的基础上,提出以改进潜能模型作度量模型,按GIS内部集成方式,使用面向ArcGIS 10的Python脚本编程技术集成开发可达性分析工具的设想,对可达性潜能模型分析原理、工具开发环境配置、使用数据的预处理要求、工具的具体设计流程和实现方法等作了详细叙述。最后以评价某市小学教育资源空间布局合理性为例,阐述工具在实际应用中应采取的使用方法和流程,实例评价结果验证工具开发的有效性。     

激电测量在苏吉泉东金矿勘查中的应用

对苏吉泉东金矿进行激电测量,获得激电异常数据(电阻率ρ_s和视极化率η_s)。把不同测线上性质相同的电阻率ρ_s和视极化率η_s的反交点按对应关系联接起来,分别作为相应的破碎带和极化体位置,同时结合地质资料多次反馈,逐步逼近真实地质体。圈定了PSD1,PSD2两个破碎带和Jht1,Jht2,Jht3三个极化体,通过ρ_s和η_s的一维反演及二维反演,拟合出破碎带和极化体的形态特征及相对深度,为矿产勘探提供了较为明确的地球物理依据。     

Anthropogenic factors and habitat complexity influence biodiversity but wave exposure drives species turnover of a subtropical rocky inter‐tidal metacommunity

Coastal ecosystems are complex and species rich, but are vulnerable to degradation from a variety of anthropogenic activities. Nevertheless, information on inter‐tidal community composition in the Caribbean Basin and at other oceanic sites is lacking. Such information is essential to developing a more comprehensive understanding of rocky inter‐tidal systems and their responses to global change. The goals of this study were to determine the relative importance of environmental (wave power density, wave height), habitat (e.g. algal cover, slope, complexity of rock surfaces) and anthropogenic (distance to roads, population density) factors associated with the structure of local assemblages at multiple shore heights and the regional metacommunity of mobile invertebrates on oceanic rocky inter‐tidal habitats. Environmental characteristics associated with habitat complexity (algal cover, rock surface complexity) and human population density were most strongly associated with abundance and biodiversity of invertebrates. Species richness was positively correlated with surface complexity, but abundance was negatively correlated with both surface complexity and per cent algal cover. By contrast, abundance of invertebrates was positively correlated with human population density, and diversity was negatively correlated with human population density. Abundance of invertebrates was greatest in the mid inter‐tidal zone, whereas diversity was greatest in the lower inter‐tidal zone. Metacommunity structure was Gleasonian, but the gradient along which species turnover occurred was correlated with measures of wave exposure, rather than anthropogenic activity. Unlike in previous studies, mostly at mainland sites, human activity primarily altered dominance patterns of communities, while having relatively little effect on species richness or composition.