Fire Management,Managed Relocation,and Land Conservation Options for Long‐Lived Obligate Seeding Plants under Global Changes in Climate,Urbanization, and Fire Regime

Most species face multiple anthropogenic disruptions. Few studies have quantified the cumulative influence of multiple threats on species of conservation concern, and far fewer have quantified the potential relative value of multiple conservation interventions in light of these threats. We linked spatial distribution and population viability models to explore conservation interventions under projected climate change, urbanization, and changes in fire regime on a long‐lived obligate seeding plant species sensitive to high fire frequencies, a dominant plant functional type in many fire‐prone ecosystems, including the biodiversity hotspots of Mediterranean‐type ecosystems. First, we investigated the relative risk of population decline for plant populations in landscapes with and without land protection under an existing habitat conservation plan. Second, we modeled the effectiveness of relocating both seedlings and seeds from a large patch with predicted declines in habitat area to 2 unoccupied recipient patches with increasing habitat area under 2 projected climate change scenarios. Finally, we modeled 8 fire return intervals (FRIs) approximating the outcomes of different management strategies that effectively control fire frequency. Invariably, long‐lived obligate seeding populations remained viable only when FRIs were maintained at or above a minimum level. Land conservation and seedling relocation efforts lessened the impact of climate change and land‐use change on obligate seeding populations to differing degrees depending on the climate change scenario, but neither of these efforts was as generally effective as frequent translocation of seeds. While none of the modeled strategies fully compensated for the effects of land‐use and climate change, an integrative approach managing multiple threats may diminish population declines for species in complex landscapes. Conservation plans designed to mitigate the impacts of a single threat are likely to fail if additional threats are ignored. Manejo de Incendios, Reubicación Administrada y Opciones de Conservación de Suelo para Plantas de Vida Larga con Sembrado Obligado bajo los Cambios Globales en el Clima, la Urbanización y el Régimen de Incendios     

重庆主城区污水排放截流处理方案的比较

重庆市主城排水系统的污水处理方案从以自然汇水区为主的排水和处理方案转为集中截流处理。本文利用MIKE模型，对重庆市主城排水系统项目的各方案进行了比较，结合模型的解析结果，提出应结合三峡成库时间，采用分阶段逐步提高的最优方案。     

战略环境影响评价及其在我国实施的必要性

本文简要介绍了战略环境影响评价（SEA）的产生，涵义，特点及研究现状，分析了当前我国环境影响评价存在的主要问题，重点论述了SEA在我国实施的必要性，阐明了SEA是实现可持续发展和改善我国环境评价质量的重要手段。     

优化引射除尘器性能的研究

在采煤工作面,煤尘污染严重威胁煤矿生产和工作健康,本文介绍了用于放顶煤工作面降除尘的引射除尘器。从优化引射除尘器性能的角度出发,设计了实验系统。运用正交分析的方法,确定了引射除尘器的最佳结构。     

天津港的发展与环保规划设想

阐述了天津港的发展前景，对港区环境质量现状和环保设施作了全面的调研，根据可持续发展的思想，提出了与天津港发展相应的环保规划设想。     

板料冲压成形中坯料优化设计方法研究

较为系统地介绍了冲压件坯料的优化设计方法 ,并比较分析了其各自的优缺点。相比于其他方法 ,一步模拟方法效率高、适应面广、功能较强 ,可以在产品的设计之初提供较为丰富的信息。因此 ,对其作了较为详细的论述。实例证明 ,一步模拟法可用于板料成形工艺方案的快速评价及参数优化。     

搞好绿化设计提高环境质量

石油化工厂在生产过程中散发大量污染环境的有害物质和产生强烈的噪声．绿化设计能起到保护环境、美化环境的作用。     

ECO-design of reuse and recycling networks by multi-objective optimization

An ECO-optimized reuse of process liquors addresses the financial gain and the effective use of resources. In processes that have a potential for process liquor recovery, the minimization of both economic and environmental burdens can be realised by an ECO-optimal design of reuse and recycling network (RRN).In this paper, a procedure for synthesizing such an RRN for a metal finishing process is investigated. The simultaneous analysis of environmental impact sensitivity (SAEIS) based on a superstructure approach, combined with multi-objective optimization is performed by mixed-integer nonlinear programming (MINLP). This allows an “eco–eco” trade-off i.e. total annualized cost and environmental impacts are minimized simultaneously. By varying the weighting factor, different RRN alternatives were generated. A replacement of the standard and closed-loop system by these solutions, even for the environmentally friendliest case, yielded a reasonable cost saving on raw material's inputs.     

Environmentally conscious long-range planning and design of supply chain networks

In this paper, a mathematical programming-based methodology is presented for the explicit inclusion of life cycle assessment (LCA) criteria as part of the strategic investment decisions related to the design and planning of supply chain networks. By considering the multiple environmental concerns together with the traditional economic criteria, the planning task is formulated as a multi-objective optimization problem. Over a long-range planning horizon, the methodology utilizes mixed integer modelling techniques to address strategic decisions involving the selection, allocation and capacity expansion of processing technologies and assignment of transportation links required to satisfy the demands at the markets. At the operational level, optimal production profiles and flows of material between various components within the supply chain are determined. As such, the formulation presented here combines the elements of the classical plant location and capacity expansion problems with the principles of LCA to develop a quantitative decision-support tool for environmentally conscious strategic investment planning.     

Model-based direct search optimization of the broke recirculation system in a newsprint mill

This work is concerned with the dynamic modelling of the papermaking section of an integrated newsprint mill, and the subsequent application of two direct search methods in a proof-of-concept optimization study of broke recirculation strategies. The effect of the current broke recirculation policy on the mixed pulp properties at the paper machine headboxes was quantified using a dynamic simulation generating data for an objective function which reflected the rate of change in measurable (flow, consistency and temperature) and immeasurable (total dissolved solids and fibre length distribution) parameters. Genetic Algorithm and the Nelder–Mead simplex methods were then linked dynamically to the simulation and used to find improved ways of recirculating broke pulp. Specifically, the profile of the changes to the broke ratio was modelled using a quadratic function and a second-order transfer function, and the coefficients of these functions were optimized. The optimized broke recirculation resulted in a significant reduction in the value of the objective function, thus, suggesting that the fluctuations in the properties of the mixed pulp stream could be dampened and paper machine headbox stability improved. It is expected that this process enhancement strategy would contribute to an increase in production yield (via a reduction in the occurrence of paper machine breaks), and thus an overall reduction in the waste of materials and energy.