Modelling forest management within a global vegetation model—Part 1: Model structure and general behaviour

This article describes a new forest management module (FMM) that explicitly simulates forest stand growth and management within a process-based global vegetation model (GVM) called ORCHIDEE. The net primary productivity simulated by ORCHIDEE is used as an input to the FMM. The FMM then calculates stand and management characteristics such as stand density, tree size distribution, tree growth, the timing and intensity of thinnings and clear-cuts, wood extraction and litter generated after thinning. Some of these variables are then fed back to ORCHIDEE. These computations are made possible with a distribution-based modelling of individual tree size. The model derives natural mortality from the relative density index (rdi), a competition index based on tree size and stand density. Based on the common forestry management principle of avoiding natural mortality, a set of rules is defined to calculate the recurrent intensity and frequency of forestry operations during the stand lifetime. The new-coupled model is called ORCHIDEE-FM (forest management).The general behaviour of ORCHIDEE-FM is analysed for a broadleaf forest in north-eastern France. Flux simulation throughout a forest rotation compare well with the literature values, both in absolute values and dynamics.Results from ORCHIDEE-FM highlight the impact of forest management on ecosystem C-cycling, both in terms of carbon fluxes and stocks. In particular, the average net ecosystem productivity (NEP) of 225 gC m⁻² year⁻¹ is close to the biome average of 311 gC m⁻² year⁻¹. The NEP of the “unmanaged” case is 40% lower, leading us to conclude that management explains 40% of the cumulated carbon sink over 150 years. A sensitivity analysis reveals 4 major avenues for improvement: a better determination of initial conditions, an improved allocation scheme to explain age-related decline in productivity, and an increased specificity of both the self-thinning curve and the biomass-diameter allometry.     

Biogeochemical model (BGC-ES) and its basin-level application for evaluating ecosystem services under forest management practices

It is important for humans to live in harmony with ecosystems. Evaluation of ecosystem services (ES) may be helpful in achieving this objective. In Japan, forest ecosystems need to be re-evaluated to prevent their degradation due to lack of forest management.In order to evaluate the effects of forest management on forest ES, we developed a process-based biogeochemical model to estimate water, carbon, and nitrogen cycles in forest ecosystems (BGC-ES). This model consists of four submodels: biomass, water cycle, carbon-nitrogen (CN) cycles, and forest management. The biomass submodel can calculate growth of forest biomass under forest managements.Several parameters of the model were calibrated using data from observations of evapotranspiration flux and quality of stream flow in forests. The model results were compared with observations of runoff water from a dam catchment site and with carbon flux observations.Our model was coupled with a basin-level GIS database of forests. Evaluations under various forest management scenarios were carried out for forests in a basin contained in the Ise Bay basin (Chubu region, Japan), where plantations (artificial forests) seemed to have degraded from poor forest management.Comparing our simulation results with those of forests without management in the basin, we found that the amounts of absorbed carbon and runoff were larger in managed forests. In addition, the volume of harvested timber was larger and its quality (diameter) was better in managed forests. Changes of ES within the various scenarios were estimated for their economic value and were compared with the cost of forest management.     

Life cycle assessment of food waste home composting in Greece

Home composting is a waste prevention measure related to the management of the household's food waste, garden trimmings, and other smaller organic household waste streams. Thus, home composting is an alternative way of exploitation of the “biomass” generated from the households. It is an alternative to centralized composting. Biomass utilization is explicitly stated as a principle of green chemistry. The aim of this paper is presentation of the results of a case study dealing with the life cycle environmental assessment of home composting of food waste in households in Greece. The results of the study indicate that home composting is environmentally preferable over the current organic waste management situation in Greece.     

湘江流域岳麓山周边地区不同水体中氢氧稳定同位素特征及相互关系

不同水体中稳定同位素的差异性组成对认识区域水文过程,如水体的补给机制、不同水体间的相互作用具有重要意义。论文基于2010—2013年湘江流域岳麓山周边地区降水、地表水、浅层土壤水和地下水中δD和δ¹⁸O的逐日数据及相关气象资料,分析了不同水体中稳定同位素的组成,揭示了不同水稳定同位素间的相互作用关系。结果表明：地表水、浅层土壤水和地下水中δD和δ¹⁸O对日降水中δD和δ¹⁸O的响应存在时滞,地表水和浅层土壤水的滞后时间较短,地下水的滞后时间较长;在天气尺度下,降水中δD和δ¹⁸O存在很好的线性关系,二者的相关系数达0.98;地表水、浅层土壤水和地下水中δD和δ¹⁸O的线性相关系数分别为0.95、0.90和0.90,均超过0.001的信度;在δD-δ¹⁸O关系中,地表水水线（SWL）、浅层土壤水水线（SSWL）和地下水水线（GWL）的斜率及截距都小于长沙大气水线（LMWL）,表明降水是区域地表水、浅层土壤水和地下水的主要补给水源,且在补给过程中,存在一定程度的蒸发,同时与其他水体存在混合交换作用;在季节尺度下,同一水体的水线斜率与截距具有正比关系,即斜率越大,截距越大;但LMWL斜率和截距的关系存在季节和年际的差异;对比同一类水线旱雨季的斜率,仅有LMWL的斜率旱季小于雨季,反映出旱季干燥的大气条件下,降落雨滴云下二次蒸发强烈的特点。     

中国化石能源生命周期清单分析

利用生命周期评价方法,建立了我国化石能源的生命周期清单模型,详述了模型相关因子的确定方法,计算了原煤、原油、天然气等初级能源及汽油、焦炭等几类主要次级能源的生命周期清单,揭示了我国能源生产的环境负荷,为工业系统分析和材料、产品的生命周期评价提供基础数据.清单分析表明我国化石能源清单的主要特点为能源消耗的97%以上主要来自生产过程,运输占到3%左右的比例;通过与2002年清单相比,我国化石能源生产的总能耗和排放出现不同程度变化;通过与国外能源清单相比,我国能源投入及排放整体处于较高水平.     

黑河流域中下游全境地表-地下水耦合模型与应用

耦合概念性水资源评价与规划模型WEAP和分布式地下水模型MODFLOW,建立需求驱动的黑河流域中下游全境地表-地下水耦合模型,并利用地表水文站点和地下水观测点数据进行模型率定.结果表明,率定期和验证期地表水模拟的纳氏系数>0.7,地下水位模拟的均方根残差<0.80m.应用模型对流域历史水循环反演模拟表明,黑河干流(黑河东枝)2002~2012年水量统一调度使正义峡年均来流较原管理方式增加1.63亿m3(约18%);讨赖河(黑河西枝)因人类活动改变了西部子水系河流水文情势,基本切断了与黑河干流下游尾闾水系的水力联系;黑河东西两枝人类活动和出山口径流变化共同影响着下游狼心山断面径流量,直接导致了居延海之前消失和现在的恢复.     

郑州市公交车队电动化减污降碳环境效益

公交车队电动化是道路交通部门实现减污降碳的重要手段,评估当前公交车队电动化减排成效,对推进大中型城市公交全面电动化具有重要参考意义.基于燃料生命周期法分析了郑州市公交车队电动化前后CO₂和污染物排放特征,并评估了不同电动化情景下的车队排放.结果表明,本轮电动化使公交车队燃料生命周期内CO₂和PM_2.5排放量分别增长32.6%和42.6%,CO、NO_x和VOC排放量下降了28%,34%和25%.优化发电结构对于电动化过程中的CO₂及PM_2.5减排尤为重要,在全面电动化和发电结构优化的最佳情景下,CO₂、CO、NO_x、VOC和PM_2.5减排可达38.7%、80.1%、84.4%、92.2%、30.2%.在全面电动化进程中,应优先对中长里程线路车辆进行电动化替换,此外,插电混动天然气车型的纯电动化替换对减排利弊兼有,同步推进车队替换和电力结构调整进程才能实现减污降碳协同增效.     

Optimization of HSE in maintenance activities by integration of continuous improvement cycle and fuzzy multivariate approach: A gas refinery

Gas refineries have been continuously focusing on Health, Safety and Environment programs to improve maintenance activities. Several researches have studied on this area with different analysis methods. This study presents an integrated approach for optimization of factors contributing to the implementation of Health, Safety and Environment (HSE) in maintenance activities. HSE managers in each sector answered standard questionnaire whit respect to HES. The methodology is based on fuzzy data envelopment analysis (FDEA) and Deming's continuous improvement cycle. Also, this method is used to rank the relevant performance efficiencies in certain and uncertain conditions of each HSE sectors whit considering HSE in maintenance activities. It corresponds and integrates its registered HSE-MS with OHSAS 18001:2007 and ISO 14001:2004 to evaluate multiple inputs and outputs of over 36 subsidiary HSE divisions with parallel mission and objectives simultaneously. Also, it determines efficient target indices and could assure continuous improvement in the organization. This is the first study that introduces an integrated approach to improve HSE management programs in a gas refinery by a robust and continuous improvement approach.     

Simulation-based fault propagation analysis—Application on hydrogen production plant

Recently production of hydrogen from water through the Cu–Cl thermochemical cycle is developed as a new technology. The main advantages of this technology over existing ones are higher efficiency, lower costs, lower environmental impact and reduced greenhouse gas emissions. Considering these advantages, the usage of this technology in new industries such as nuclear and oil is increasingly developed. Due to hazards involved in hydrogen production, design and implementation of hydrogen plants require provisions for safety, reliability and risk assessment. However, very little research is done from safety point of view. This paper introduces fault semantic network (FSN) as a novel method for fault diagnosis and fault propagation analysis by using evolutionary techniques like genetic programming (GP) and neural networks (NN), to uncover process variables’ interactions. The effectiveness, feasibility and robustness of the proposed method are demonstrated on simulated data obtained from the simulation of hydrogen production process in Aspen HYSYS^®. The proposed method has successfully achieved reasonable detection and prediction of non-linear interaction patterns among process variables.     

锂离子电池正极材料环境友好性与充放电性能耦合优选

本文通过生命周期评价方法,设定在相同的外界容量需求下,结合电池循环性能数据,研究了LiCo1／3Ni1／3Mn1／3O2、LiCo1／3Ni1／3Mn1／3O2＋1％ Fe3O4和 LiMn0．2 Fe0．8 PO43种不同的锂离子正极材料的环境影响,并耦合环境影响和放电比容量进行量化处理,得到相应的性能优选指数。结果表明：锂离子电池的正极材料普遍具有较大的综合环境影响值,3大类环境影响分类中影响较大的是人体健康和资源消耗。在3种正极材料中,LiCo1／3Ni1／3Mn1／3O2的综合性能最好,环境友好性和充放电性能都具有较大的优选指数。在 LCA 处理正极材料的基础上,结合电池充放电数据实现了对材料的比较和优选。