Rainfall Runoff Relationships for a Cloud Forest Watershed in Central America: Implications for Water Resource Engineering1

Caballero, Luis A., Alon Rimmer, Zachary M. Easton, and Tammo S. Steenhuis, 2012. Rainfall Runoff Relationships for a Cloud Forest Watershed in Central America: Implications for Water Resource Engineering. Journal of the American Water Resources Association (JAWRA) 48(5): 1022‐1031. DOI: 10.1111/j.1752‐1688.2012.00668.x Abstract: Understanding the basic relationships between rainfall and runoff is vital for effective management and utilization of scarce water resources. Especially, this is important in Central America with widespread potable water shortage during the dry months of the monsoon. Potential good water sources are cloud forests, but little information concerning its potential is available to water supply engineers. Our objective is to define rainfall‐runoff‐base flow relationships for a cloud forest catchment. Flumes were installed for measuring river flow in four subwatersheds in La Tigra National Park, Honduras. One of the four watersheds was a 636‐ha subwatershed (WS1) with 60% cloud forest coverage. Precipitation averaged 1,130 mm/yr over the entire basin. About half of the total rainfall became runoff for the cloud forest watershed whereas, for the adjacent undisturbed forested watershed, the total discharge was <20% of the amount of precipitation. Infiltration rates were generally greater than rainfall rates. Therefore, most rainfall infiltrated into the soil, especially in the upper, steep, and well‐drained portions of the watershed. Direct runoff was generated from saturated areas near the river and exposed bedrock. This research provides compelling evidence that base flow is the primary contributor to streamflow during both wet and dry seasons in cloud forest catchments. Protecting these flow processes over time is critical for the sustained provision of potable water.     

面向国土空间规划实施监督的监测评估预警模型体系研究

国土空间规划监测评估预警是监督规划实施管理、保障规划实施成效的重要手段,也是实现“可感知、能学习、善治理、自适应”智慧规划转型的关键支撑。针对当前国土空间规划监测评估预警研究重机制、轻理论,以及缺乏一套科学可用的监测评估预警技术方法支撑的不足,在系统分析国土空间规划监测评估预警目标与内涵的基础上,构建以人工智能（Artificial Intelligence）、大数据（Big Data）、云计算（Cloud Computing）等新型信息技术(“ABC”技术）为支撑,覆盖国土空间规划“监测—评估—预警”业务全生命周期的应用模型体系,并结合信息系统建设案例,介绍了基于“ABC”技术的国土空间规划监测评估预警模型体系对实现各地国土空间规划“动态监测、精准评估、及时预警”的重要支撑作用。     

基于Visual Basic.NET的油气事故应急资源需求预测支持决策系统

针对油气事故后应急资源需求预测困难的问题,在对油气事故特性及应急资源需求类型分析的基础上,构建了基于案例推理(CBR)的油气事故应急资源需求预测模型,并使用Visual Basic.NET及SQL Server数据库开发了油气事故应急资源需求预测支持决策系统。将该系统应用于实际油气事故案例进行验证,结果表明系统中应急资源需求预测模型科学可靠,系统对油气事故应急资源需求预测结果与其实际用量基本吻合。该系统可为油气事故后快速有效开展应急救援活动提供相应的理论依据。     

青藏高原东北侧突发性暴雨特征综合分析

对1970-2007年发生在青藏高原东北侧陕西的突发性暴雨研究发现,其夜间降水特点明显,对流层中层较强的偏南气流是突发性暴雨水汽输送贡献最大者和低层辐合的主要动力来源。偏南气流北伸的位置决定突发性暴雨落区偏南或偏北,300hPa一致的纬向12～20m·s-1强风速带为突发性暴雨提供高层抽吸作用。上述两点对突发性暴雨落区有一定的预报指示意义。云图分析显示,突发性暴雨多有中尺度云团配合,上升运动最大值的高度层与突发性暴雨落区地域位置有关。     

基于云模型的灭火救援作战方案优选方法研究

为了解决灭火救援作战方案优选中存在的模糊性和随机性问题,提出基于云模型的优选方法。首先,根据消防部队灭火救援作战的目标和特点,确定作战方案优选指标集;其次,通过专家咨询建立优选指标的权重云,采用指标近似法确定优选指标的评价云;最后,依据云的算数运算规则对各灭火救援作战方案进行评价,从而确定最佳方案。实例表明:该方法实现作战方案优选中定性语言和定量评价之间的转化,优选结果客观可行、符合人的思维方式,便于灭火救援指挥人员进行决策指挥。     

圆柱形无约束气云爆炸高温效应研究

为了分析无约束可燃气云爆炸产生的高温伤害效应,建立了相应的数学模型,利用有限体积的离散方法,对无约束空间内甲烷浓度10％、高径比为1的圆柱形可燃气云爆炸的瞬态温度场进行了数值研究。研究结果表明,圆柱形可燃气云爆炸的温度场呈不对称性分布,靠近地面处足最危险区域,高温可能达到的最大怪直高度和最大水平距离分别约为圆柱体高的2倍和半径的3．2倍。对数值模拟结果的数据进行多项式拟合,得到了圆柱形可燃气云爆炸场最高温度随水平距离、初温及参与爆炸气云质量的函数关系式,给可燃气云爆炸灾害的预测及防护提供了科学依据。     

"05728"小兴安岭致洪暴雨中尺度分析

为了加强对黑龙江省暴雨中尺度系统的认识，有利于暴雨灾害的预报和防御，对2005年7月28-29日发生在小兴安岭的暴洪中尺度系统，从大尺度环流形势、环流演变特征、云图和雷达回波上观测到的中尺度云团的发生发展、水汽来源、产生的热力和动力条件等几方面进行了比较深入的分析。分析表明：暴雨中尺度系统是在高空槽和新生东北低涡的环境中诱发出来的；卫星和雷达图像也观测到了中-β尺度和中-α尺度的中尺度对流复合体（Mesoscale Convective complex，MCC）的发生发展；中尺度系统的水汽通道主要有两支：西南气流和偏东气流；中层冷空气的推动、风场垂直和水平切变及地形强迫抬升是这次暴洪过程中尺度系统的动力因子和触发条件。     

GIS-based assessment of the threat to world forests by patterns of non-sustainable civilisation nature interaction

The paper presents a novel transdisciplinary approach to investigate non-sustainable civilisation–nature interactions in the context of global change. The approach rests on the decomposition of intricate dynamics of Global Change into problematic patterns civilisation nature interactions (‘syndromes’) this is done by an iterative process of observations, data and theoretical system analysis and GIS-based modelling attempts. These syndromes of global change characterise endangering and risky developments of civilisation nature interaction and represent a baseline for measuring and indicating ‘non-sustainability’; in order to have a sustainable development it is necessary to have a far-reaching absence of syndromes. They encompass the core problems of global change, e.g. soil degradation, climate change, threats to biodiversity or global deforestation. Patterns are defined as characteristic constellations of global change trends (‘symptoms’). Cause–effect schemes of symptoms and their interrelations are constituted as complex phenomena resulting from interactions over the different spheres of the Earth system (biosphere, atmosphere, hydrosphere, population, pedosphere, economy, psychosocial sphere, social organisation, science and technology). The approach is illustrated by an analysis of civilisation–nature interaction patterns relevant for global deforestation. Global forest ecosystems have been chosen for this investigation because of their important role in the global carbon cycle and their importance for biological diversity. The resulting geographical patchwork of the combined dispositions and intensities of the different syndromes describes current and future regional threats to forests by their underlying global cause–effect patterns of civilisation–nature interaction.     

Oxidation of SO2 in Clouds at Whiteface Mountain

In-cloud oxidation of SO₂ byH₂O₂ was investigated using a tracertechnique based on SO^2– ₄/Se ratios atWhiteface Mountain, New York during summer months from1990 to 1998. Cloud water samples collected at themountain's summit (1.5 km above mean sea level) andaerosols at a below cloud site (Lodge) located at 0.6km amsl and in cloud interstitial air at the summitwere analyzed for SO^2– ₄ and selectedtrace elements. Gaseous SO₂ andH₂O₂were measured in realtime. Cloud water pH wasgenerally below 5.0 with a mean value of 3.6. Theresults show that significant in cloud oxidation occursin clouds during summer months varying from belowdetection to 62% with on average approximately 24% ofthe cloud water SO^2– ₄ produced from in-situ SO₂ oxidation. During summer the clouds wereoxidant limited for approximately one third of thetime.     

Collision of convex objects for calculation of porous mesh in gas explosion simulation

We investigate the coupling of the flamelet combustion model with the collision distance algorithm based on Minkowski addition. The collision algorithm is coded to calculate the porosity of the geometry based on the PDR (Porosity Distributed Resistance) approach for modelling of complex geometries. The turbulent field generated by the interaction of the flow with the porous objects is used to calculate the wrinkling length scale of the flame via the fluctuating velocities. The turbulent fluxes are amended in accordance with assigned porosities at the cell faces. The combustion and porosity models are implemented in the framework of an in house Fortran code that solves the full set of Navier-Stokes equations. The code was named STOKES - Shock Towards Kinetic Explosion Simulator). Results are presented for non-reacting flows and reacting flows over different geometries. Numerical findings are compared with standard commercial CFD tools.