Ecological processes and sustainability

SUMMARY

Ecology has developed from its position as an obscure science to being at the interface of science and public policy. The impact of mankind can be described in ecological terms relating to population size, energy use and non-renewability. Sustainable development needs to be addressed on the basis of knowledge of ecological processes which maintain the environment in a state of change; the processes need to be conserved, not maintained in any particular state. Recent advances in the understanding of ecological processes are reviewed to highlight the potential contribution of this knowledge to the development of a sustainable policy. At the level of the population the significance of considering the extinction risks in the framework of spatio-temporal dynamics is now established indicating opportunities for planning land use more precisely to sustain biodiversity. Whilst the maintenance of habitats is generally the key to the persistence of biodiversity, they must be viewed as ever-changing mosaics within which cycles of succession, best described by Markovian sets of probabilities, are occurring continually. The extent to which these probabilities are distorted will determine whether the ecosystem returns to the same system or moves to a novel one. At the global level, biogeochemical cycles have a certain flexibility in relation to fluxes and stocks, hence pollution must be defined by relating the flow rate of the substance to this flexibility, which often permits the accommodation of anthropogenic perturbations. Non-sustainable processes can be defined in ecological terms, thus providing functional definitions of a sustainable policy and of sustainable development.     

Incorporating health outcomes into environmental justice research: The case of children's asthma and air pollution in Phoenix,Arizona

Asthma is a health condition that is also an environmental justice issue. Using an environmental justice frame, this paper explores socio-demographic, indoor hazard, and air quality factors that contribute to disparities in asthma hospitalizations. Multivariate Poisson regression models predicting asthma hospitalizations at the zip code level are employed to examine the case of metropolitan Phoenix, Arizona (AZ). Controlling for socio-demographics, indoor hazards, and toxic releases from industry, ozone was the strongest predictor of asthma hospitalizations. This paper contributes to the project of inserting health measures into quantitative environmental justice studies.     

Disaster vulnerability of businesses in the 2001 Nisqually earthquake

Abstract

This paper examines the impacts of the February, 2001, Nisqually earthquake on businesses. Focusing on two hard-hit business districts in Seattle, the study investigates the extent of losses, patterns of disparities, and underlying loss factors. A conceptual framework is proposed of how business vulnerability dimensions contribute to disaster loss. Interviews were conducted with owners and managers of 107 businesses. Data were gathered on impacts, methods of finance, and disaster preparedness. Results showed that business losses were much greater than what standard statistical data would imply. Analysis found that a composite index of vulnerability—based on business sector, size, and building occupancy tenure—provides a very powerful predictor of business loss. Physical damage was a much weaker predictor of loss. Moreover, business recovery was influenced not only by characteristics of the business itself, but also by conditions in the neighborhood.     

Environmental federalism and environmental liability

Environmental federalism considers what level of government should optimally regulate pollution. This paper addresses this question for accidental pollution, which government regulates through the ex post liability regimes of either negligence or strict liability. We find that decentralizing the choice between these regimes does not, in general, induce the socially optimal outcome. When firms can pay all damages, all regions may choose negligence and impose an overly strict standard of due care. When firms may be bankrupted by damages, all regions may choose strict liability, which induces too little care. In addition, asymmetric equilibria are possible in which some regions choose negligence, others strict liability. Combining negligence with a Pigovian tax, or strict liability with a bonding requirement can align regional authorities' incentives with those of a central government.     

Multiple receptor ambient monitoring and firm compliance with environmental taxes under budget and target driven regulatory missions

We analyze the potential for an environmental monitoring agency under different regulatory missions to use multiple measures of ambient pollution levels to induce firm compliance via endogenously determined probabilistic firm-level inspections of polluting activities. Departing from previous analyses, we consider a framework where the regulator has multiple, rather than a single, measures of ambient pollution in a setting where many firms are subject to a self-reported emissions tax that is not perfectly enforceable. Under a budget-driven mission, we show that a regulator can fruitfully utilize the added information from multiple ambient monitoring receptors to induce improved environmental compliance through the creation of strategic interactions among firms. Additionally, our results provide new evidence on the relative efficiency of budget- vs. target-driven environmental enforcement missions.     

Investment in cleaner technology and signaling distortions in a market with green consumers

I analyze the pricing and investment behavior of a firm that signals the environmental attributes of its production technology through its price to uninformed environmentally conscious consumers. I then analyze the effect of change in environmental regulation on the signaling outcome and the firm's ex ante incentive to invest in cleaner technology. When regulation is weak, a firm signals cleaner technology through higher price; in this case, the firm earns lower profit when it has cleaner technology and thus, has no incentive to invest in cleaner technology. The price charged by the clean firm declines sharply beyond a critical level of regulation. When regulation is sufficiently stringent, the firm with cleaner technology charges lower price but earns higher signaling profit, and ex ante the firm has positive incentive to invest in cleaner technology. With weak regulation, the incentive of the firm to directly disclose its environmental performance rather than signal it through price is increasing in the level of regulation; the opposite holds when regulation is sufficiently stringent.     

An approach to calculating allowable watershed pollutant loads

To improve the management of discharge pollutants loads in the reservoirs’ watershed, an approach of the allowable pollutants loads calculation and its allocation, based on the water environment model, was proposed. Establishment of the approach framework was described at first. Under the guidance of this framework, two major steps were as follows: modeling and scenario analysis were involved and should be applied to support the decision of discharge loads management; Environmental Fluid Dynamic Code (EFDC) model was selected as the kernel model in this framework. In modeling step, spatial discretization for establishing cell map in model, data preprocessing, parameter calibration and uncertainty analysis (which is considered as the significantly relevant factor of the margin of safety (MOS)), were conducted. As a result of the research, the model-based approach presented as a combination of estimation and precise calculation, which contributed to scenario analysis step. Some integrated modules, such as scenario simulation, result analysis and plan optimization were implemented as cycles in the scenario analysis. Finally, allowable pollutant loads under various conditions were calculated. The Chaihe Reservoir in Liaoning Province, China was used as a case study for an application of the approach described above. Results of the Chaihe reservoir water quality simulation, show good agreement with field data and demonstrated that the approach used in the present study provide an efficient and appropriate methodology for pollutant load allocation.     

公路路网建设项目声环境影响评价研究

以甘肃省某市新区基础设施建设中的路网建设为例,根据公路路网的交通参数、道路地形地貌条件、路面设施等,利用导则推荐模式预测路网噪声贡献值。该新区路网中道路距离多在500m以上,不论道路平行还是相交,噪声影响以主干道为主,以次干道为辅,相互影响;根据路网噪声环境影响的特点,提出切实可行的声环境影响减缓措施。     

硝化污泥低温冲击强化试验

采用完全好氧式膜生物反应器富集耐低温硝化污泥,通过低温冲击强化试验研究硝化污泥的耐低温特性。结果表明,低温对硝化污泥中微生物的群落多样性影响较大,温度越低,微生物多样性越低。低温强化组投加了耐低温高硝化菌含量硝化污泥,使得硝化菌在反应器内生长趋势良好,对低温冲击的恢复更有效果,且低温硝化污泥比中温硝化污泥具有更好的氨氮及亚硝氮去除效果。