Ecological indicators can facilitate an adaptive management approach, but only if acceptable levels for those indicators have
been defined so that the data collected can be interpreted. Because acceptable levels are an expression of the desired state
of the ecosystem, the process of establishing acceptable levels should incorporate not just ecological understanding but also
societal values. The goal of this research was to explore an approach for defining acceptable levels of ecological indicators
that explicitly considers social perspectives and values. We used a set of eight indicators that were related to issues of
concern in the Lake Champlain Basin. Our approach was based on normative theory. Using a stakeholder survey, we measured respondent
normative evaluations of varying levels of our indicators. Aggregated social norm curves were used to determine the level
at which indicator values shifted from acceptable to unacceptable conditions. For seven of the eight indicators, clear preferences
were interpretable from these norm curves. For example, closures of public beaches because of bacterial contamination and
days of intense algae bloom went from acceptable to unacceptable at 7–10 days in a summer season. Survey respondents also
indicated that the number of fish caught from Lake Champlain that could be safely consumed each month was unacceptably low
and the number of streams draining into the lake that were impaired by storm water was unacceptably high. If indicators that
translate ecological conditions into social consequences are carefully selected, we believe the normative approach has considerable
merit for defining acceptable levels of valued ecological system components. 相似文献
ABSTRACT: Least squares regression and ARIMA models were developed from suspended sediment data for the Ausable River, Southern Ontario, Canada. A poor correlation between discharge and suspended sediment concentration results from the dynamics of the physical system, including seasonality, antecedent conditions, and hysteresis. Regression model results were significantly improved by the division of the data set into seasons and the addition of simple. but physically meaningful variables. Misleading improvements obtained from the regression of sediment load and discharge are discussed. ARIMA models provided accurate forecasts of sediment concentration on a real-time basis, but the rigorous data requirements limit their use in modeling suspended sediment concentrations in Canadian rivers. 相似文献
Objective: The probability of crash occurrence on horizontal curves is 1.5 to 4 times higher than that on tangent sections. A majority of these crashes are associated with human errors. Therefore, human behavior in curves needs to be corrected.
Methodology: In this study, 2 different road marking treatments, optical circles and herringbone patterns, were used to influence driver behavior while entering a curve on a 2-lane rural road section. A driving simulator was used to perform the experiment. The simulated road sections are replicas of 2 real road sections in Flanders.
Results: Both treatments were found to reduce speed before entering the curve. However, speed reduction was more gradual when optical circles were used. A herringbone pattern had more influence on lateral position than optical circles by forcing drivers to maintain a safe distance from opposing traffic in the adjacent lane.
Conclusion: The study concluded that among other low-cost speed reduction methods, optical circles are effective tools to reduce speed and increase drivers’ attention. Moreover, a herringbone pattern can be used to reduce crashes on curves, mainly for head-on crashes where the main problem is inappropriate lateral position. 相似文献
Introduction: An improper driving strategy is one of the causative factors for a high probability of runoff and overturning crashes along the horizontal curves of two-lane highways. The socio-demographic and driving experience factors of a driver do influence driving strategy. Hence, this paper explored the effect of these factors on the driver’s runoff risk along the horizontal curves. Method: The driving performance data of 48 drivers along 52 horizontal curves was recorded in a fixed-base driving simulator. The driving performance index was estimated from the weighted lateral acceleration profile of each driver along a horizontal curve. It was clustered and compared with the actual runoff events observed during the experiment. It yielded high, moderate, and low-risk clusters. Using cross-tabulation, each risk cluster was compared with the socio-demographic and experience factors. Further, generalized mixed logistic regression models were developed to predict the high-risk and high to moderate risk events. Results: The age and experience of drivers are the influencing factors for runoff crash. The high-risk event percentage for mid-age drivers decreases with an increase in driving experience. For younger drivers, it increases initially but decreases afterwards. The generalized mixed logistic regression models identified young drivers with mid and high experience and mid-age drivers with low-experience as the high-risk groups. Conclusions: The proposed index parameter is effective in identifying the risk associated with horizontal curves. Driver training program focusing on the horizontal curve negotiation skills and graduated driver licensing could help the high-risk groups. Practical applications: The proposed index parameter can evaluate driving behavior at the horizontal curves. Driving behavior of high-risk groups could be considered in highway geometric design. Motor-vehicle agencies, advanced driver assistance systems manufacturers, and insurance agencies can use proposed index parameter to identify the high-risk drivers for their perusal. 相似文献
From the history of human economic development, it is known that there is a close relationship between economic development and environment quality. Thus, in this study a factor decomposition model of carbon emission in China is built and the contributions that economic scale, industrial structure, and carbon emission intensity make to carbon emission quantitatively from 1990 to 2005 are analyzed, in other words—scale effect, structural effect, and technical effect—using the decomposition method of average distribution cushion which is based on the environmental Kuznets curves model is studied. The result suggests that the average of the effect changes of carbon emission in China is 19.55%, the effects brought by economic scale, industrial structure, and carbon emission intensity are 15.76%, −0.86%, and 4.65%, respectively. In general, the relation between carbon emission and China's economy was more like an “N” curve; Economy scale is a primary drive factor and has incremental effect to carbon emission. Since otherness of different industry is getting bigger, the industrial restructure has certain decremental effect to carbon emission, but the restrictive function is not obvious, the industrial structure still need to be further optimized; the technical effect is positive and its volatility is large. From the perspective of reducing carbon emission, the current technology has not played to its advantages. This study will promote the understanding of the theory about the relationship between carbon emission and economy development and provide reference value by all means to the adjustment of industrial development. 相似文献
ABSTRACT: Information is lacking on the watershed scale effects of mining and reclaiming originally undisturbed watersheds for coal on surface water chemical concentrations and load rates for a variety of constituents. These effects were evaluated on three small, geologically dissimilar watersheds subjected to surface mining in Ohio. Comparisons were made between phases of land disturbances using ratios of average concentrations and load rates: Phase 1 (natural), subphases of Phase 2 (mining and reclamation), and subphases of Phase 3 (partial reclamation and final condition) using 4,485 laboratory analyses of 34 constituents. Average concentration and load rate ratios were categorized into three classes—minor, moderate, and substantial. Mining and reclamation (M/R) affected flow duration curves in different ways‐baseflow changes were variable, but high flows generally increased. The average concentration ratios for all sites were classified as 15 percent “minor,” 36 percent “moderate,” and 49 percent “substantial” (average ratio of 2.4.) Generally load rate ratios increased due to mining and reclamation activities (average ratio of 3.3). Minor, moderate, and substantial impacts were found on average for 7 percent, 23 percent, and 70 percent, respectively, of load rate ratios. The impact of M/R on average load rates was not necessarily the same as on average concentrations due to changed hydrology and can be opposite in effect. The evaluation of the impacts of M/R requires knowledge of changing hydrologic conditions and changing supplies and rates of release of chemicals into streams. Median sediment concentration ratio is an indicator of average constituent load rate ratio of a wide variety of chemical constituents and is useful for development of best management practices to reduce chemical loads. The site at which diversion ditches were not removed during final reclamation sustained large chemical load rates, and removal of diversions at the other mined site reduced load rates. Revegetation of poorly reclaimed areas decreased chemical load rates. Chemical load rates were sensitive to geology, mining, and reclamation methods, diversions, and changing hydrology, concentration flow rate regressions, and watershed areas. 相似文献