Re-emphasizing sustainable development — The concept of ‘Evolutionability’ On living chances, equity, and good heritage

The principle of sustainable development is now 15-year-old. There are a lot of definitions and models for its explanation — ranging from triangles and prisms to eggs — but still its sense is diffuse. Moreover, important aspects like equity are not sufficiently taken into account.The following article takes a critical look on sustainable development. It shows logical, systemic, philosophic and ethic reasons for the re-development of substantial parts of the principle of sustainability. Based on the proposed Principle of Good Heritage it provides a rough outline of a future Concept of Evolutionability, comprising a first tentative for a definition of evolutionable development, aiming at achieving a more appropriate and more workable mainstream view of sustainability.Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.     

试论改善发展的质量

本文结合中国国情，从经济发展的目标、边界、途径等方面论述了改善发展质量的基本内涵，提出经济发展应以满足社会基本需要为目标，经济发展必须与环境和资源的承载力相适应，依靠科技进步是提高发展质量的根本途径，同时须不断改善经济的内部结构，走资源节。     

区域生态环境评价的灰色关联投影模型

区域生态环境评价是实现全面环境管理，协调区域经济发展与生态环境保护．实现区域可持续发展的重要手段。由于评价所涉及的地域复杂性和因素多样性，许多评价方法和体系都处于不断探索和发展之中。区域生态环境系统是一个灰色系统，包括了自然、经济和社会等方面具有信息不确知性和不完全性的因素。基于灰色系统理论和矢量投影原理，建立了区域生态环境评价的灰色关联投影模型。该模型将评价样本及各级质量标准视为矢量．分别向同一矢量(理想样本)进行投影。根据投影值的大小，确定样本所属的生态环境质量级别及样本间的优劣排序。以巢湖流域为个案，在建立生态环境评价指标体系和标准的基础上，运用所建模型对其生态环境质量现状进行了评价，结果与实际情况相吻合。即巢湖流域总体以及分区合肥市、六安市的生态环境质量为4级，分区巢湖市为5级。研究表明，灰色关联投影模型对于多指标的区域生态环境质量评价是科学的、有效的，具有一定的推广和实用价值。     

云南不同类别基本农田土壤环境质量的时空差异

按照《农田土壤环境质量监测技术规范》（NY／T395--2000）,连续3年定点定位监测了云南亚热带干热河谷旱（缓）坡农耕地、中海拔旱（陡）坡农耕地和平坝区蔬菜地土壤环境质量。统计分析了监测结果的时间差异和空间差异。空间差异：旱（陡）坡农耕地〉旱（缓）玻农耕地〉平坝区蔬菜地;时间差异：旱（缓）坡农耕地〉平坝区蔬菜地〉旱（陡）坡农耕地。     

润滑油基础油在储运过程中可能产生的危害和对策

分析了润滑油基础油在储运过程中,油品质量可能产生的不良变化和对周围环境造成的危害.针对这些危害提出了解决的对策.     

基于可靠性理论的区域大气环境质量风险评价模型探讨

为了用可靠性理论进行区域大气环境质量风险评价．从理论上研究了几个需要解决的基本问题。包括：明确区域环境质量风险评价的研究对象．确定区域环境质量可靠性的内涵,提出区域环境系统的“应力-强度-失效”假说．分析环境系统净化环节闻的串、并联关系。因此．从可靠性的视角,对区域环境质量的复杂性和不确定性进行新的探讨．构建环境科学与可靠性理论联系的桥梁。在理论分析的基础上．对福建省泉港区石化工业基地大气环境质量风险评价问题进行研究。从大气环境污染的主要问题出发。研究区域环境系统对大气污染物的净化环节及其串并联关系。在此基础上．构建区域大气环境污染的故障树,并以区域环境质量的可靠性作为评价指标对区域环境风险问题进行具体评价。这是一种以概率为基础的、新的区域环境质量风险评价模型．对于研究污染型工业系统的环境质量风险具有重要意义。     

EFFECTS OF ADVANCED WASTEWATER TREATMENT ON THE QUALITY OF WHITE RIVER,INDIANA1

ABSTRACT: In 1983, the City of Indianapolis, Indiana, completed construction of advanced wastewater treatment (AWT) systems to enlarge and upgrade its existing Belmont Road and South port Road secondary treatment plants. A nonparametric statistical procedure, a modified form of the Wilcoxon-Mann-Whitney rank-sum test, was used to test for trends in water quality at two upstream and two downstream sites on White River and at the two treatment plants. Results comparing the pre- (1978–1980) and post- (1983–1986) AWT periods show statistically significant improvements in the quality of the treated effluent and of the White River downstream from the plants. Water quality at sites upstream from the city was relatively constant during the period of study. Total ammonia (as N) decreased 14.6 mg/L and BOD₅ (five-day biochemical oxygen demand) decreased 10 to 19 mg/L in the two effluents. Total ammonia in the river downstream from the plants decreased 0.8 to 1.9 mg/L and BOD₅ decreased 2.3 to 2.5 mg/L. Nitrate (as N) increased 14.5 mg/L in the plant effluents and 2.0 to 2.4 mg/L in the river because of in-plant nitrification. Dissolved oxygen concentration in the river increased about 3 mg/L because of reduced oxygen demand for nitrification and biochemical oxidation processes.     

基于PSO优化BP神经网络的水质预测研究

为快速准确地预测河流水质,结合汾河监测数据,使用粒子群算法(PSO)优化BP神经网络模型(PSO-BP)进行水质预测.通过灰色关联度分析确定输入变量,利用PSO算法修正BP网络的初始权值、阈值,优化神经网络结构及算法全局收敛性.采用该模型对汾河主要污染物指标COD、BOD5、氨氮、挥发酚等进行预测和验证.结果表明,与传统的BP神经网络模型相比,PSO-BP模型使最大相对误差从15.43％减小到1.46％,其平均误差由4.00％减小到1.01％,预测均方根误差从5.956×10-3减小到1.605×10-4.因此,基于PSO-BP神经网络模型的预测更加精确,可用于水质预测.     

油层注水过程中水质不合要求的危害及保护措施

分析了油田在二次采油注水过程中,对水质的要求,讨论了水质不合格带来的危害并提出了保护措施.