Use of Inverse Spatial Conservation Prioritization to Avoid Biological Diversity Loss Outside Protected Areas

Globally expanding human land use sets constantly increasing pressure for maintenance of biological diversity and functioning ecosystems. To fight the decline of biological diversity, conservation science has broken ground with methods such as the operational model of systematic conservation planning (SCP), which focuses on design and on‐the‐ground implementation of conservation areas. The most commonly used method in SCP is reserve selection that focuses on the spatial design of reserve networks and their expansion. We expanded these methods by introducing another form of spatial allocation of conservation effort relevant for land‐use zoning at the landscape scale that avoids negative ecological effects of human land use outside protected areas. We call our method inverse spatial conservation prioritization. It can be used to identify areas suitable for economic development while simultaneously limiting total ecological and environmental effects of that development at the landscape level by identifying areas with highest economic but lowest ecological value. Our method is not based on a priori targets, and as such it is applicable to cases where the effects of land use on, for example, individual species or ecosystem types are relatively small and would not lead to violation of regional or national conservation targets. We applied our method to land‐use allocation to peat mining. Our method identified a combination of profitable production areas that provides the needed area for peat production while retaining most of the landscape‐level ecological value of the ecosystem. The results of this inverse spatial conservation prioritization are being used in land‐use zoning in the province of Central Finland.     

基于矿井通风三维仿真系统的多级机站通风系统优化与应用

为分析总结多级机站通风方式实际应用中存在的影响通风效果的共性问题,以某大型机械化铁矿通风系统为研究对象,应用能适用多台风机串并联运行的"矿井通风三维仿真系统(简称3DVS)"软件进行应用研究。结果表明,3DVS软件可以快速地实现多级机站通风系统中不同型号多台风机联合作业下的风机选型。采用安装在运输巷道两侧的硐室型风机机站技术能有效解决大压差、大断面运输巷道不安装风门、不掘绕道设置风机机站的关键问题,实现风流有效分配,且具有较好的灵活性,其成功应用,不但为多级机站通风方式的应用提供了技术和经验支持,而且增强了多级机站通风方式的适应性和稳定性,可以减少风机机站维护工作量,不影响行人和运输,促进多级机站技术发展与推广。     

城市夜功能空间优化——以开封市为例

城市夜功能是城市功能的重要组成部分,城市夜功能不同于城市昼功能。在分析了城市夜功能与昼功能差别的基础上,论述了城市夜功能空间优化的范畴和原则,详细阐述了城市夜功能空间＂点＂空间、＂轴＂空间、＂网络＂空间的优化模型和技术路线。最后以开封市为例,根据开封市的实际情况,具体详细地论述了开封市城市夜功能空间点—轴—网络空间的优化过程,为开封市城市夜功能空间优化提供了理论依据。     

Exergoeconomic Environmental Optimization of Piston-Prop Aircraft Engines

In this study, exergy, exergoeconomic, exergoenvironmental analyses, and exergoeconomic environmental optimization are applied to a four-cylinder, spark ignition, naturally aspirated and air-cooled piston-prop aircraft engine in the cruise phase of flight for the first time to the best of the authors` knowledge. Here, three piston-prop aircraft engine parameters (altitude, air–fuel ratio (AF), and rated power setting (PS)) are selected for optimization purposes. All exergy, exergoeconomic, and exergoenvironmental values are calculated first. These values are then optimized to find the best results of all analyses. The best altitude, AF ratio, and PS values are finally found while the maximum exergy efficiency, the minimum product specific environmental impact, and the minimum average unit fuel exergy cost are obtained. The best results of optimization indicated that the maximum exergy efficiency varied between 19.54% and 19.80%, the minimum unit fuel exergy cost ranged from 126.30 $/GJ to 127.23 $/GJ, and the minimum specific environmental impact of production was in the range of 8.70–9.59 mPts/MJ. Based on the results obtained, for ensuring the optimum conditions, the low AF ratios and the low-altitude flight at high rated power settings have to be selected.     

Adaptive Targeting: Engaging Farmers to Improve Targeting and Adoption of Agricultural Conservation Practices

Targeting of agricultural conservation practices to cost‐effective locations has long been of interest to watershed managers, yet its implementation cannot succeed without meaningful engagement of agricultural producers who are decision makers on the lands they farm. In this study, we engaged 14 west‐central Indiana producers and landowners in an adaptive targeting experiment. Interviews carried out prior to targeting provided rich spatial information on existing conservation practices as well as producers' preferences for future conservation projects. We targeted six of the most accepted conservation practices using the Soil and Water Assessment Tool and spatial optimization using a genetic algorithm approach. Fairly optimal conservation scenarios were possible with even the most limiting constraints of farmer‐accepted practices. We presented in follow‐up interviews a total of 176 conservation practice recommendations on 103 farm fields to 10 farmers whose lands were targeted for conservation. Primary findings indicated producers were interested in the project, were open to hearing recommendations about their lands, and expressed a high likelihood of adopting 35% of targeted recommendations. Farmers generally viewed the interview process and presentation of results quite favorably, and the interviews were found to build trust and make the targeting process more acceptable to them.     

连续流好氧颗粒污泥系统处理低COD/N实际生活污水的工艺优化

在连续流合建式反应器中接种成熟好氧颗粒污泥处理低碳氮比(COD/N)的实际生活污水,研究了曝气量和水力停留时间(hydraulic retention time,HRT)对连续流好氧颗粒污泥系统脱氮除磷和颗粒污泥稳定性的影响.结果表明,当曝气量为300 m L·min-1(表观气速为1.2 cm·s-1)、HRT为7.5 h时,反应器对化学需氧量(chemical oxygen demand,COD)、总氮(total nitrogen,TN)和总磷(total phosphorus,TP)去除率达到最高,分别为76.34%、51.23%和53.70%.整个系统在此条件下能够稳定运行,污泥浓度(mixed liquor suspended solids,MLSS)为2 000 mg·L-1左右,污泥体积指数(sludge volume index,SVI)保持在50 m L·g-1以下,好氧颗粒污泥形态完整,沉降性能良好.低COD/N的实际生活污水促进了好氧颗粒污泥胞外多聚物(extracellular polymeric substance,EPS)的增长,蛋白质(protein,PN)和多聚糖(polysaccharide,PS)的比值高达17.9,相对于PS,PN对颗粒污泥的稳定性有更大的促进作用.     

The role of component arrangement in complex safety instrumented systems—A case study

The arrangement of components plays a key role in the performance of complex Safety Instrumented Systems (SIS), in which a SIS logic solver is interlocked with other logic solvers, to share a final element, for instance. The position of the components and the way they are utilized affects the reliability characteristics, such as the Probability of Failure on Demand (PFD), Spurious Trip Rate (STR), architectural sensitivity and model uncertainty. This case study uses quantitative and qualitative approaches to elaborate on various aspects of component arrangement in complex SIS. Numerous simplified models are analyzed; new classification is introduced for SIS components based on their response to demand; a set of guidelines are developed for SIS architecture design, with a focus on component arrangement; and the use of these guidelines is demonstrated in a real-life example, where an existing turbine SIS is modified to incorporate a new over-speed protection system. The simplified models and the turbine upgrade project are also used to explain the issue of unknowns and uncertainties in reliability analysis and how these issues can be addressed in SIS architecture by optimizing component arrangement.     

循环冷却水水垢中锌含量测定优化实验研究

对工业循环冷却水水垢中锌含量的测定方法进行了系统优化,主要考察了样品酸度、缓冲溶液添加量、试剂时效性、样品中铁离子量、掩蔽剂量和滴定剂浓度对锌含量检测效果的影响。结果表明:样品酸度控制在pH=4.9~5.1范围内,乙酸-乙酸钠缓冲溶液添加量为30 m L时,锌含量检出值最大,指示剂灵敏度最佳;试剂乙酸-乙酸钠在20 d内使用、二甲酚橙指示剂即配即用对滴定终点的判断效果较好;锌含量测定前应先检测样品中铁离子含量,若铁离子≥40%则应先沉淀过滤后方可进行测定;锌含量检出值随掩蔽剂添加量呈先升后降的趋势,并在3.2 g时滴定效果最佳;滴定剂浓度为0.010 mol/L时锌含量检出值最高;优化实验测定结果接近真实值,方法准确可靠。     

油类废水采样器的优化研究

一般说来,在水体中油的分布是很不均匀的,除少部分乳化状油较为均匀地存在于水体,大部分多分散浮于水面,若用普通采水器完全不能满足要求.因此,油类的环境监测采样要求必须单独使用采样器或专用采样器,并应定容或定面积采样,且不得在实验室再行分样.该研究根据永州市废水污染源的特点,设计制作出水中不均匀分布污染物油类的专用采样器,研究结果表明,其精密度和准确度方面明显优于普通采水器.     

Forecasting of dissolved oxygen in the Guanting reservoir using an optimized NGBM (1,1) model

An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guanting reservoir inlet and outlet (China). The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What's more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting.