Environmental protection motivation in coastal zone land‐use legislation

Abstract

Analysis of recent substantive coastal land use management laws shows that their main thrust is to provide for protection of the coastal environment from adverse impacts of uncontrolled development. The four purposes cited most frequently among laws of 17 states were: Protection of wildlife and fisheries, protection of ecosystems or the natural environment, control of development, and enhancement of esthetic values. Other purposes were to: Protect life and property, enhance public recreation, conserve soil, and protect water resources. Development and economic purposes were cited in relatively few laws.     

Turning Off the Heat: Impacts of Power Plant Decommissioning on Green Turtle Research in San Diego Bay

Green turtles (Chelonia mydas) are among the most high profile species in San Diego Bay, California, and understanding impacts of coastal development and industry is essential to the management and conservation of this local population. Here we describe power plant changing energy production and its impact on turtle habitat use and our ability to research and manage this population. For over 20 years, green sea turtles have been captured, assessed, and tagged near the South Bay Power Plant (SBPP) in the San Diego Bay; from 2002–2011, 104 turtles were captured on 212 occasions. As the 50-year-old SBPP generates less energy, effluent patterns change and water temperatures decrease, presumably to more natural conditions. There has been a concurrent decrease in turtle-capture success, perhaps due to lesser visitation to the effluent site where nets are tended. Seasonal catch-per-unit-effort declined from a high of 4.14 turtles per monitoring day, to a nine-year low of 1.33 during the 2010–2011 season. It is already apparent that management decisions related to energy policy are affecting the habitat and behavior of this stock of endangered turtles. Green turtles are expected to remain in the San Diego Bay after the SBPP becomes inoperative and continuing research will monitor future impacts and distribution shifts resulting from the expected changes in thermal pattern within south San Diego Bay. Research efforts to study this population (i.e., capture methods and locations) will require modification in response to these changes. Lessons learned here are applicable to the immediate coastal development of San Diego, as well as at similar interactions between marine turtles and industrial thermal effluent discharge throughout Southern California, the United States, and beyond.     

DBSCAN算法在通信电台关联上的应用

文章主要探讨DBSCAN算法用于通信侦察信息融合系统中的通信电台关联的方法,并给出典型的应用实例。实践表明DBSCAN算法在数据融合领域具有重要的应用价值。     

增量数据挖掘算法在区域交通管理中的应用

分析了基于关联规则的增量数据挖掘算法，指出其效率低下的原因，针对传统数据挖掘算法多次迭代扫描，每次迭代产生数目更大的频繁项集的不足，提出链表增量数据挖掘算法LIUA，并将该算法应用于区域性车辆自动识别管理系统中，有效地挖掘出系统中的关联规则，对挖掘出的关联规则进行了分析．通过测试结果表明该算法是合理有效的．     

对APriori算法的一个改进

介绍了关联规则挖掘的研究情况，并在分析关联规则的数据挖掘算法的基础上，针对Apriori算法进行深入研究，提出了Apriori—1算法，新算法在计算候选大项集支持度所涉及的记录数目将小于事务数据库中原始的记录数目，提高了原算法的效率，具有一定的实用性．     

一种杂波环境下的多传感器多目标数据关联算法

研究了多传感器多目标的数据关联问题，提出了杂波环境下多传感器多目标跟踪的极大似然关联算法．算法中考虑了传感器对目标的漏检情况，在各个观测站传感器的观测数据不完备的情况下，建立了传感器测量与目标的可行关联分配模型，并综合采用了假点的后验概率比模型，提高了多传感器对同一目标测量的互补性和对弱信号目标的跟踪精度．理论分析和仿真实验结果表明，所提出的算法可实现杂波环境下对弱目标的持续跟踪，并且在确保航迹关联性能和较好跟踪效果的基础上，降低了算法的运算量．     

A Class of Singularly Perturbed Problems for Nonlinear Two-Species Competitive Reaction-Diffusion System

Wang[1-4]studiedthesingularlyperturbedprob lemsofellipticequationsandnonlinearequations,Mo[5]discussedaclassofnonlinearpredator preysin gularlyperturbedRobinproblemsforreaction diffu sionsystems.Thesingularlyperturbedproblemfor nonlineartwo speciescompeti…     

江苏省高速公路绿化现状分析及改进建议

文章对江苏高速公路主要区域的绿化现状进行调查研究,统计出常用植物种类150种;归纳出江苏高速公路中央分隔带、道路两侧及边坡、枢纽及互通区、服务区及收费站区的绿化配置模式和绿化特点;分析绿化中存在的问题,并针对问题提出改进建议,以期为高速公路的绿化和养护管理工作提供参考。     

改进的K近邻非参数回归在短时交通流量预测中的应用

针对现有K近邻非参数回归方法的局限,为了进一步提高算法的精度和速度,做出了两方面的改进:利用相关性理论选择状态向量和采用基于聚类分析的变K近邻搜索算法.用仿真实验验证了该方法的有效性,给出了仿真试验结果.实例研究结果表明,预测效果优于传统的非参数回归方法.     

工程项目施工阶段投资风险灰色关联辩识模型

笔者应用灰色系统理论建立了投资风险灰色关联辨识模型,该模型能进行投资风险的识别,并确定其主要风险因素.