Incident investigation of mono-nitro toluene still explosion

At one of the nitro-toluene facilities, an o-nitro toluene still was in standby mode. During the standby mode feed to the still had been stopped, the column was not de-inventoried, steam flow to the reboiler was not shut off and the condenser was on total reflux. After 22 days of standby mode, steam was shut off for 5 days for annual plant maintenance. Eight days after the re-start of steam, the still exploded, hurling debris as far as one mile. The internal packing was expelled from the column and landed on the ground burning. The incident was investigated to establish the contributing factors leading to explosion. Accelerating Rate Calorimetery was extensively used to determine the onset temperature for exothermic activity in the presence/absence of a number of materials to establish the underlying cause of the accident. It was found that foulant collected in the column over a period of years accelerated the ’runaway reaction’.     

THREE‐DIMENSIONAL KRIGING ANALYSIS OF SEDIMENT MERCURY DISTRIBUTION: A CASE STUDY1

ABSTRACT: This study presents an application of a three‐dimensional kriging technique to estimate spatial distribution of total mercury (Hg) in the Cedar‐Ortega Rivers watershed located in the lower St. Johns River basin, Florida. The kriging procedures, including preliminary data analysis, structural data analysis and the log kriging estimation, are presented. Results show watershed wide Hg contamination of river sediment to a depth of 1.0 m. A three‐dimensional plot of Hg against the Florida Sediment Assessment Guidelines (i.e., the probable effect level or PEL) demonstrates that the Cedar River is more contaminated with Hg than the rest of the watershed. The maximum sediment depth with Hg concentrations above PEL value (0.696 mg/kg) is 1.5 m. Hg concentrations at or above this level could pose a significant hazard to aquatic organisms. Analysis of the spatial distribution of Hg in the watershed finds multiple input sources. This study suggests that there is a need to identify the major sources of Hg in the watershed, and to determine the pathways that allow Hg to enter the river.     

Dams and Flows: Immersing in Western Meaning Systems in Search of Ecocultural Reflexivity

In this unprecedented era of anthropogenic ecological destruction, this study illustrates inadequacies in conceptual language available in Western settings to think deeply and holistically about “nature.” At the same time, the study illustrates transformative potential of moments of ecocultural reflexivity. Using free write methodology, we examine ways participants in the United States, New Zealand, and Australia articulate what they mean when they say “nature.” We interpret participant streams of consciousness as representative of a wider Western river-way, a channel of dominant, multiple, and contradictory meanings in continuous movement. We identify conceptual obstructions that provide glimpses into ways Western ecological relations are bounded and dammed by binary, fragmented, and unconsidered meanings. Yet reflexivity in the face of such obstructions, and in potent ecocultural side streams of childhood remembering and ecocentric cosmology, provides some participants a lucid flow of regenerative narratives at a time such shared stories are urgently needed.     

长江源区草地植被退化对土壤持水能力影响

选择长江源区的格尔木市唐古拉山镇作为研究区,通过野外实地采样与室内测试分析相结合,在分析草地植被不同退化阶段和不同土层深度下土壤持水能力特征的基础上,探讨了草地植被退化对土壤持水能力影响。结果表明：（1）在相同草地植被退化阶段,毛管持水量、饱和含水量和田间持水量随土层深度变化的特征基本一致;在相同土层深度上,毛管持水量、饱和含水量和田间持水量随草地植被退化的特征也大体相同。（2）在相同草地植被退化阶段,土壤持水量总体上随土层深度增加而减少,特别是在未退化阶段,10~20 cm土层的毛管持水量、饱和含水量和田间持水量比0~10 cm土层分别减少了12.38%、33.73%和7.64%。（3）在相同土层深度上,土壤持水量总体上随草地植被退化而减少,特别是在0~10 cm土层,轻度退化阶段的毛管持水量、饱和含水量和田间持水量比未退化阶段分别减少了41.52%、59.95%和27.03%。（4）土壤持水量与土壤容重、总碳、有机质和总氮显著相关,它在草地植被不同退化阶段和不同土层深度下的变化可能与地表覆被状况、植物根系数量和分布特征所引起的土壤容重、有机质等变化有关。研究可深化对草地植被退化与土壤持水能力相互关系的理解和认识,并为长江源区生态环境和水资源状况研究提供参考依据。 关键词： 土壤持水能力;草地植被退化;长江源区;影响     

Estimating Air Quality in a Traffic Tunnel Using a Forecasting Combination Model

This study performs a field analysis of the diffusion collection rate coefficients of radial geometry passive samplers to measure NO₂ in a Mediterranean coastal area. The study shows that the collection rate coefficients are not constant and depend on certain environmental parameters as well as on the levels of some co-pollutants. A mathematical model, which explains the variation of the collection rate coefficient, has been established.     

Application of Ecological Classification and Predictive Vegetation Modeling to Broad-Level Assessments of Ecosystem Health

The Little Missouri National Grasslands (LMNG) of western North Dakota support the largest permitted cattle grazing use within all lands administered by the USDA, Forest Service, as well as critical habitat for many wildlife species. This fact, coupled with the need to revise current planning direction for range allotments of the LMNG, necessitated that a broad-level characterization of ecosystem integrity and resource conditions be conducted across all lands within the study area (approximately 800,000 hectares) in a rapid and cost-effective manner. The approach taken in this study was based on ecological classifications, which effectively utilized existing field plot data collected for a variety of previous inventory objectives, and their continuous spatial projection across the LMNG by maps of both existing and potential vegetation. These two map themes represent current and reference conditions (existing vs. potential vegetation); their intersection allowed us to assign various ecological status ratings (i.e., ecosystem integrity and resource condition) based on the degree of departure between current and reference conditions. In this paper, we present a brief review of methodologies used in the development of ecological classifications, and also illustrate their application to assessments of rangeland health through selected maps of ecological status ratings for the LMNG.     

Valuing the benefits of the urban forest: a spatial hedonic approach

This paper measures the benefits of the urban forest by examining its effect on housing prices. A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. Planners and urban foresters can use these findings to inform public and policy debates over urban forestry programs and proposals.     

Lake eutrophication management modeling using dynamic programming

Lake eutrophication problems have received considerable attention in Taiwan, especially because they relate to the quality of drinking water. In this study, steady-state river water quality and lake eutrophication models are solved using dynamic programming algorithms to find the nutrient removal rates for eutrophication control during dry season. The kinetic cycle of chlorophyll-a, phosphorus and nitrogen for a complete-mixed lake is considered in the optimization framework. The Newton-iterative technique is adopted to solve the nonlinear equations for the steady-state lake eutrophication model. The optimization framework is applied to Cheng-Ching Lake in southern Taiwan. Several nutrient loading scenarios for eutrophication control are studied. Optimization results for nutrient removal rates and corresponding wastewater treatment capacities of each reach of the Kao-Ping River define the least cost approach to lake eutrophication control. A natural purification method, structural free water surface wetland, is also suggested to save more investment and improve river water quality at the same time.     

Factors affecting the concentrations of PM10 in central Taiwan

In this study, the synoptic weather types that have high probability and low probability of producing PM10 episode are referred to as HPE and LPE, respectively. Multiple linear regressions analysis showed that NO2 was the most important contributor (35.61%) to the concentrations of PM10 for HPE weather. For LPE weather, the season factor had the greatest contribution (48.11%) to the concentrations of PM10. Using the correlation coefficients between the concentrations of PM10 and SO2 or NO2 on HPE and LPE to calculate the increase of PM10 from LPE to HPE, we found that the increase of PM10 owing to the increase of SO2 and NO2 from LPE to HPE was 12.93microg/m3 which was about 51% of the total amount of PM10 increased from LPE to HPE. Results of factor analysis showed that the first component could be attributed to the result of local pollution especially for the weather patterns of types P3 and P6, while the secondary component for the weather patterns of types P1 and P4 can be attributed to the long-range transport of SO2 pollutants from China.