燃煤小锅炉替代方案论证及效益分析——以济南市为例

通过对燃煤小锅炉各可行替代方案的分析,从环境标准要求、政策要求、环境效益、经济效益和节能等方面,论证了燃煤小锅炉替代的必要性与可行性。结果表明天然气、电和生物质锅炉及集中供热均具有良好的环境效益和经济可行性,可作为燃煤小锅炉的替代方案。济南市通过实施燃煤小锅炉替代,预计将减少烟尘排放量182.61 t/a,减少SO_2排放量898.8 t/a,减少NO_x排放量2 710.7 t/a,与淘汰前燃煤小锅炉排放量相比,分别降低了87.7%、82.9%和86.2%,年可节约折标煤140 903.27 t。节能减排效益显著。可为同类燃煤小锅炉替代工程提供参考。     

格网尺度下延安市生态服务价值时空演变格局与分异特征——基于退耕还林工程的实施背景

在退耕还林工程背景下,以退耕还林实施后生态效果较显著的延安市为研究对象,基于解译的三期影像数据,通过土地利用转移矩阵,在2 km×2 km的格网尺度下测算延安市不同土地利用类型的生态服务价值（ESV）,并结合空间探索性数据分析,探讨ESV的不同土地利用类型转移的时间变化特征及空间转移的关联性和异质性。延安市的实证分析显示：（1）1990-2015年间,ESV的增减主要发生在耕地、林地和草地之间,林地和草地ESV合计转入21.29亿元,且转入量主要发生在退耕还林工程实施之后;（2）生态服务功能主要由林地和草地提供,ESV的时间变化经历了先下降后上升的过程,退耕还林工程的实施促进ESV的增长,2001-2015年间增长了5.34%;（3）空间探索性分析显示,ESV在格网尺度下呈现出显著的“南高北低”分布格局,并在空间上表现出正向的集聚性和依存性,ESV的高高集聚和低低集聚效果比较明显,并且高高集聚区与林地、草地的空间分布相吻合,低低集聚区与耕地、城乡建设用地的空间分布相吻合。整体而言,延安市土地利用类型转移和ESV的增减变化与推行退耕还林工程在时间上呼应、在空间上匹配,政府主导的退耕还林工程对生态环境恢复与保护起到显著的积极作用。因此,对于不同土地利用类型的生态服务功能,以耕地为主的北部地区应在基本农田保护制度基础上,注重农业生产与生态效益平衡,而林草资源丰富的南部地区则继续发挥生态屏障的调节作用。     

A framework for evaluating OSH program effectiveness using leading and trailing metrics

Introduction

Many employers and regulators today rely primarily on a few past injury/ illness metrics as criteria for rating the effectiveness of occupational safety and health (OSH) programs. Although such trailing data are necessary to assess program success, they may not be sufficient for developing proactive safety, ergonomic, and medical management plans.

Methods

The goals of this pilot study were to create leading metrics (company self-assessment ratings) and trailing metrics (past loss data) that could be used to evaluate the effectiveness of OSH program elements that range from primary to tertiary prevention. The main hypothesis was that the new metrics would be explanatory variables for three standard future workers compensation (WC) outcomes in 2003 (rates of total cases, lost time cases, and costs) and that the framework for evaluating OSH programs could be justifiably expanded. For leading metrics, surveys were developed to allow respondents to assess OSH exposures and program prevention elements (management leadership/ commitment, employee participation, hazard identification, hazard control, medical management, training, and program evaluation). After pre-testing, surveys were sent to companies covered by the same WC insurer in early 2003. A total of 33 completed surveys were used for final analysis. A series of trailing metrics were developed from 1999-2001 WC data for the surveyed companies. Data were analyzed using a method where each main 2003 WC outcome was dichotomized into high and low loss groups based on the median value of the variable. The mean and standard deviations of survey questions and 1999-2001 WC variables were compared between the dichotomized groups. Hypothesis testing was performed using F-test with a significance level 0.10.

Results/Discussion

Companies that exhibited higher musculoskeletal disorder (MSD) WC case rates from 1999-2001 had higher total WC case rates in 2003. Higher levels of several self-reported OSH program elements (tracking progress in controlling workplace safety hazards, identifying ergonomic hazards, using health promotion programs) were associated with lower rates of WC lost time cases in 2003. Higher reported exposures to noise and projectiles were also associated with higher rates of WC cases and costs in 2003.

Impact on Industry

This research adds to a growing body of preliminary evidence that valid leading and trailing metrics can be developed to evaluate OSH effectiveness. Both the rating of OSH efforts and the regular trending of past loss outcomes are likely useful in developing data-driven improvement plans that are reactive to past exposures and proactive in identifying system deficiencies that drive future losses.     

Evaluating weather effects on interannual variation in net ecosystem productivity of a coastal temperate forest landscape: A model intercomparison

Forest productivity is strongly affected by seasonal weather patterns and by natural or anthropogenic disturbances. However weather effects on forest productivity are not currently represented in inventory-based models such as CBM-CFS3 used in national forest C accounting programs. To evaluate different approaches to modelling these effects, a model intercomparison was conducted among CBM-CFS3 and four process models (ecosys, CN-CLASS, Can-IBIS and 3PG) over a 2500 ha landscape in the Oyster River (OR) area of British Columbia, Canada. The process models used local weather data to simulate net primary productivity (NPP), net ecosystem productivity (NEP) and net biome productivity (NBP) from 1920 to 2005. Other inputs used by the process and inventory models were generated from soil, land cover and disturbance records. During a period of intense disturbance from 1928 to 1943, simulated NBP diverged considerably among the models. This divergence was attributed to differences among models in the sizes of detrital and humus C stocks in different soil layers to which a uniform set of soil C transformation coefficients was applied during disturbances. After the disturbance period, divergence in modelled NBP among models was much smaller, and attributed mainly to differences in simulated NPP caused by different approaches to modelling weather effects on productivity. In spite of these differences, age-detrended variation in annual NPP and NEP of closed canopy forest stands was negatively correlated with mean daily maximum air temperature during July-September (T_amax) in all process models (R² = 0.4-0.6), indicating that these correlations were robust. The negative correlation between T_amax and NEP was attributed to different processes in different models, which were tested by comparing CO₂ fluxes from these models with those measured by eddy covariance (EC) under contrasting air temperatures (T_a). The general agreement in sensitivity of annual NPP to T_amax among the process models led to the development of a generalized algorithm for weather effects on NPP of coastal temperate coniferous forests for use in inventory-based models such as CBM-CFS3: NPP′ = NPP − 57.1 (T_amax − 18.6), where NPP and NPP′ are the current and temperature-adjusted annual NPP estimates from the inventory-based model, 18.6 is the long-term mean daily maximum air temperature during July-September, and T_amax is the mean value for the current year. Our analysis indicated that the sensitivity of NPP to T_amax was nonlinear, so that this algorithm should not be extrapolated beyond the conditions of this study. However the process-based methodology to estimate weather effects on NPP and NEP developed in this study is widely applicable to other forest types and may be adopted for other inventory based forest carbon cycle models.     

Effect of Flow Depth and Velocity on Nitrate Loss Rates in Natural Channels1

Carleton, James N. and Yusuf M. Mohamoud, 2012. Effect of Flow Depth and Velocity on Nitrate Loss Rates in Natural Channels. Journal of the American Water Resources Association (JAWRA) 1‐12. DOI: 10.1111/jawr.12007 Abstract: Loss rates of nitrate from streams and rivers are governed by movement of the ion from water column to anoxic bed sediments. Quantitative representations of nitrate in streams and rivers have often treated such losses as governed by first‐order mechanisms that are invariant with respect to potential modulating factors other than temperature. Results of studies in recent years, however, suggest that rates of water column‐sediment mass transfer are influenced by stream geometry and associated hydraulics. We develop expressions for the instream nitrate loss rate coefficient, k, as a function of water velocity and depth, using hydraulic geometry to empirically relate velocity to depth for two cases: (1) variability in mean conditions among reaches; and (2) temporal variability in conditions at a single reach, under changing flow. The result is expressions for k as functions of water column depth. Measured stream k values reported in the literature are shown to be well represented by expressions developed for the first case, and the potential for application to probabilistic analysis is briefly examined. We explore the latter case using the Hydrologic Simulation Program – FORTRAN (HSPF) model, modified to incorporate the dependence of k on instantaneous stream depth. In example simulations of two nitrate‐exporting watersheds, the incorporation of depth‐dependence of k produces improvement in the model’s ability to match observed stream nitrate concentrations.     

Flood Forecasting Using Neural Computing Techniques and Conceptual Class Segregation

Various neural networks models are developed and applied for flood forecasting at Sangye station (no. 1) of the Bocheong Stream catchment, which is one of the International Hydrological Program's representative catchments, Republic of Korea. The neural networks models (NNMs) are multilayer perceptron‐neural networks model (MLP‐NNM), generalized regression neural networks model (GRNNM), and Kohonen self‐organizing feature maps neural networks model (KSOFM‐NNM). Data used for model training and testing are divided into two groups: such as floods and typhoon events. Single conventional application and class segregation implementation are applied to evaluate the neural networks models. KSOFM‐NNM forecasts flood discharge more accurately than do MLP‐NNM and GRNNM for the testing data of Methods I and II for single conventional application and class segregation implementation. This study shows that class segregation can capture the dynamics of different physical processes and overcome the difficulties using single conventional application of neural networks models.     

三北防护林工程区植被覆盖变化与影响因子分析

利用1982~2006年间GIMMS AVHRR NDVI植被覆盖数据和气象站点气候数据,分析了三北防护林工程区25a来植被覆盖的时空变化特征及其与气温、降水变化的相关性,并在此基础上通过采用残差分析法探讨了人类活动对研究区植被覆盖变化影响的空间格局.结果表明:研究区25a的年植被变化量增加幅度略大于减少幅度,植被覆盖整体呈缓慢上升趋势,其中Ⅰ区和Ⅳ区NDVI值上升最明显(P<0.001),Ⅱ区则呈微弱下降趋势,而四大建设区植被覆盖度有不同程度提高;研究区植被和气温、降水整体呈正相关关系,17.74%的地区植被与气温呈负相关,而6.84%的地区呈正相关,10.60%的地区植被与降水呈负相关,19.53%的地区则呈正相关,植被与降水正相关面积明显大于植被与气温正相关面积,说明降水是研究区植被生长的关键因子;研究区植被残差年际变化显著正相关面积大于显著负相关面积,人类活动对植被建设作用要强于破坏作用,三北防护林建设工程带来的生态效益正在呈现.     

Scaling up private land conservation to meet recovery goals for grassland birds

Long-term population declines have elevated recovery of grassland avifauna to among the highest conservation priorities in North America. Because most of the Great Plains is privately owned, recovery of grassland bird populations depends on voluntary conservation with strong partnerships between private landowners and resource professionals. Despite large areas enrolled in voluntary practices through U.S. Department of Agriculture's Lesser Prairie-chicken (Tympanuchus pallidicinctus) Initiative (LPCI), the effectiveness of Farm Bill investments for meeting wildlife conservation goals remains an open question. Our objectives were to evaluate extents to which Conservation Reserve Program (CRP) and LPCI-grazing practices influence population densities of grassland birds; estimate relative contributions of practices to regional bird populations; and evaluate percentages of populations conserved relative to vulnerability of species. We designed a large-scale impact-reference study and used the Integrated Monitoring in Bird Conservation Regions program to evaluate bird population targets of the Playa Lakes Joint Venture. We used point transect distance sampling to estimate density and population size for 35 species of grassland birds on private lands enrolled in native or introduced CRP plantings and LPCI-prescribed grazing. Treatment effects indicated CRP plantings increased densities of three grassland obligates vulnerable to habitat loss, and LPCI grazing increased densities of four species requiring heterogeneity in dense, tall-grass structure (α = 0.1). Population estimates in 2016 indicated the practices conserved breeding habitat for 4.5 million birds (90% CI: 4.0–5.1), and increased population sizes of 16 species , totaling 1.8 million birds (CI: 1.4–2.4). Conservation practices on private land benefited the most vulnerable grassland obligate species (AIC_c weight = 0.53). By addressing habitat loss and degradation in agricultural landscapes, conservation on private land provides a solution to declining avifauna of North America and scales up to meet population recovery goals for the most imperiled grassland birds.     

科技支撑美丽中国建设的进展和展望

自党的十八大提出美丽中国建设目标以来,为发挥好科技支撑作用,国家组织开展了一系列关于资源、生态和环境等领域的科技计划,有效支撑了美丽中国建设的理论探索、生态环境保护修复和生态文明体制建设决策支持等方面的科技需求。本文在梳理过去十年国际及发达国家生态环境领域科技研发布局情况,以及我国相关领域科技研发计划和推进情况的基础上,重点介绍了中国科学院“美丽中国生态文明建设科技工程”战略性先导科技专项（A类）的主要研发内容及取得的阶段进展,并基于现状与期望分析,辨识有关领域科技前沿动态与发展趋势,提出关于下一步科技发展方向的建议,以期为党的二十大之后科技推进美丽中国建设的方向提供参考。     

Impacts of Variable Climate and Effluent Flows on the Transboundary Santa Cruz Aquifer

Assessing groundwater resources in the arid and semiarid borderlands of the United States and Mexico represents a challenge for land and water managers, particularly in the Transboundary Santa Cruz Aquifer (TSCA). Population growth, residential construction, and industrial activities have increased groundwater demand in the TSCA, in addition to wastewater treatment and sanitation demands. These activities, coupled with climate variability, influence the hydrology of the TSCA and emphasize the need for groundwater assessment tools for decision‐making purposes. This study assesses the impacts of changes in groundwater demand, effluent discharge, and climate uncertainties within the TSCA from downstream of the Nogales International Wastewater Treatment Plant to the northern boundary of the Santa Cruz Active Management Area. We use a conceptual water budget model to analyze the long‐term impact of the different components of potential recharge and water losses within the aquifer. Modeling results project a future that ranges from severe long‐term drying to positive wetting. This research improves the understanding of the impact of natural and anthropogenic variables on water sustainability, with an accessible methodology that can be globally applied.