从河流网系整体出发开发整治长江流域

长江是我国最大的河流,干流长6300km,流域面积180万 km~2,占全国国土面积的1/5。整个流域大部分位于湿润亚热带地区,具有丰富的自然资源,工农业产值占全国的45%,是我国最发达的地区。但流域内地区发展很不平衡,下游地区的发展超过中游和上游,干流沿岸城市的发展超过丘陵山区。因此,从河流网系整体出发,均衡开发长江流域很有必要。     

江苏台网尾波持续时间震级的初步研究

利用江苏台网15个地震台的84个地震DD-1短周期记录资料,通过m_(Lg)震级与持续时间τ和震中距Δ相关,得出该区持续时间震级M_D公式:M_D=a_0+0.44(lgτ)~2+0.00036Δ+DM这里,a_0为与记录分向和尾波截止水平有关的常数;DM为台站校正值。M_D标度内部单台标准差为0.09～0.10震级单位,M_D相对m_(Lg)的单台标准差为0.16～0.17震级单位。     

我国国土资源安全面临的挑战及对策

本文简要论述了国土资源安全的基本内涵及其在国家经济安全中的重要地位，分析了我国国土资源安全面临的种种挑战，提出了保障国土资源安全的基本对策。     

中国国家资源环境安全问题初探

作为世界上最大的发展中国家 ,中国资源环境的现实基础表现出明显脆弱的特征。更严重的问题是 ,未来人口的增长和生活水平的提高对现已十分脆弱的国家资源环境安全基础产生着巨大的压力。若在此问题上出现认识和发展政策上的失误 ,便会产生巨大负面效应 ,严重影响中国国家现代化的进程。为此 ,建议 2 1世纪中国可持续发展战略的首要任务应是确保国家资源环境安全的稳定性。     

基于BP神经网络的儿童卧室内灰尘PAEs浓度预测

在实测数据的基础上,以邻苯二甲酸酯(PAEs)的各类影响因素为自变量,PAEs浓度为因变量,采用Back-propagation(BP)神经网络建立儿童卧室内PAEs浓度预测模型.结果表明,该模型的预测效果较理想,其中,STD比值均＞0.5,NMB均接近0,EMR均＜19％.以室内环境与儿童健康(CCHH)课题组天津地...     

江苏省环境与人口、经济的协调发展分析——基于环境安全视角

协调发展既是国民经济乐观发展的客观要求,同时也是人类可持续发展不可或缺的组成部分。江苏省协调发展问题的研究有利于解决环境问题的定位,发现环境发展中的薄弱点与发展潜力,促进环境与人口、经济的协调发展。以环境安全理论为依托,以强调协调发展为出发点,建立江苏省环境与人口、经济系统的协调发展指标体系,应用改进的层次分析法（AHP）及变异系数法权重均值赋权,借鉴模糊数学中隶属度函数来计算协调系数。结果表明：2001~2010年江苏省环境与人口、经济系统的平均协调水平处于基本协调状态,并且有稳中上升的趋势,协调发展前景乐观;同时分析并提出了建立健全江苏省协调发展机制、探讨环境安全维护体系建设、制订缓解人口压力政策等建议     

公路网规划环境影响评价中的困难和不确定性分析

首先分析了公路网规划环境影响评价中的困难,即评价方法的不成熟和获取资料的困难;然后重点分析了评价中的公路网规划方案的不确定、环境信息的不确定、空间信息的不确定和环境影响程度的不确定;最后提出了 4种解决困难和降低不确定的方法,即制定公路网规划环境影响评价技术导则,使用基于情景分析的预测方法,广泛开展公众参与以及通过多方协作的方式开展环境影响评价工作.     

基于生态市建设的生态可持续发展研究——以常州市为例

以常州市为例,探讨了基于生态市建设的生态可持续发展的内涵,提出“生态保育区-生态提升区-生态新建区”的生态建设分区模式和市域生态防护网架是构建区域生态安全格局的基本框架和促进区域生态可持续发展的调控途径。     

Scenario derivation and consequence evaluation of dust explosion accident based on dynamic Bayesian network

In order to clarify the correlation between the evolution path of dust explosion accidents and emergency decision-making, and to accurately predict the disaster damage levels of various disaster bearing bodies. This paper extracts 56 key scenario elements from four aspects, namely state, answer, goal and environment, based on the analysis of typical dust explosion accident cases. At the same time, a general scenario evolution path of dust explosion accident is constructed. Using fuzzy number set theory and dynamic Bayes joint probability model, the accurate solution of scenario state probability was realized. With the help of accident cases and dynamic Bayes approach, the dust explosion consequence prediction index system and evaluation criteria were constructed, covering factors such as dust explosion intensity, casualties, direct economic losses, equipment damage, building damage, environmental damage and other factors. A polyethylene wax dust explosion accident in a city of China was used to verify the dust explosion accident scenario evolution model and consequences prediction model. The predicted results were in good agreement with the actual damage of various carriers of the accident, which indicated that the model could be used for dust explosion accident prediction and disaster loss prediction. The research results provided reference and technical support for the prediction of dust explosion accident evolution direction, emergency aid measures decision and deployment, disaster damage prediction and evaluation.     

Pipeline leakage detection and isolation: An integrated approach of statistical and wavelet feature extraction with multi-layer perceptron neural network (MLPNN)

Leakage diagnosis of hydrocarbon pipelines can prevent environmental and financial losses. This work proposes a novel method that not only detects the occurrence of a leakage fault, but also suggests its location and severity. The OLGA software is employed to provide the pipeline inlet pressure and outlet flow rates as the training data for the Fault Detection and Isolation (FDI) system. The FDI system is comprised of a Multi-Layer Perceptron Neural Network (MLPNN) classifier with various feature extraction methods including the statistical techniques, wavelet transform, and a fusion of both methods. Once different leakage scenarios are considered and the preprocessing methods are done, the proposed FDI system is applied to a 20-km pipeline in southern Iran (Goldkari-Binak pipeline) and a promising severity and location detectability (a correct classification rate of 92%) and a low False Alarm Rate (FAR) were achieved.