Modelling the impact of flooding stress on the growth performance of woody species using fuzzy logic

Among the driving processes responsible for riparian forest dynamics the species-specific impact of flooding on the development of woody plants plays a key role—particularly for lowland rivers. Only a few of the forest succession models currently in use incorporate the flooding stress response of trees. This situation is mainly due to the incomplete investigation of the flooding tolerance processes and the related abiotic and biotic factors. In an attempt to use the wide-ranging but still rather vague knowledge available on flooding stress, the research presented in this paper proposes an approach to model tree response to flooding using the fuzzy set theory. The model is illustrated for the case of central European species. Flooding stress response to the abiotic factors of duration, depth and frequency of flooding differs according to five flooding tolerance classes and is expressed by means of a growth factor that limits optimal tree growth. We show that existing fuzzy set theory is able to generate and calibrate a flood stress response model which in turn can be incorporated into more complex forest succession models adapted to riparian areas.     

Systematic inherent safety and its implementation in chlorine liquefaction process

As a proactive safeguard, inherent safety has been regarded as the top hierarchy for loss prevention and risk management due to its salient features in eliminating or significantly reducing risks at source rather than mitigating them by add-on protections. Simultaneously, various assessment tools have been developed for ranking and selecting inherently safer designs or modifications. However, there still lacks a metric that can systematically incorporate various hazardous factors, which may hinder most industries from utilizing it to a full extent. To address this limitation, this work developed a Systematic Inherent Safety Metric (SISM) for measuring the inherently safer modifications. Firstly, the conceptual framework of SIS was proposed based on 5M1E (man, machine, material, method, measurement, and environment). Subsequently, analytic hierarchy process and fuzzy comprehensive evaluation were adapted to conduct risk identification and assessment. Finally, taking chlorine liquefaction process as a case study, the applicability and efficacy of SIS were validated based on PDCA (plan-do-check-action) cycle. The results show that the SISM value has improved from the relatively dangerous (RD) to the relatively safe (RS) after implementing SIS, thus demonstrating that the revised design is inherently safer than the base design.     

Modeling and application of risk assessment considering veto factors using fuzzy Petri nets

Risk assessment is important for plant safety, and fuzzy set theory is useful for such assessment because many risk factors have fuzzy characteristics. In this study, veto factors for risk assessment are taken into account. Weighted fuzzy Petri nets (WFPN) with inhibitor arcs are proposed to model relationships between risk factors and establish the risk assessment structure considering veto factors. Definitions of WFPNs as well as the enabling rule and execution rule are provided. The modeling approach for the assessment combining normal factors with veto items is discussed. The proposed fuzzy risk assessment approach is illustrated by an example of the assessment of production installations and process technology of plants that deal with hazardous chemicals. Veto factors and non-veto factors are presented and the assessment structure based on WFPNs is established. Using the factor data of a plant, an assessment value is obtained through the operation of WFPNs and the verification of the approach is discussed.     

An inexact optimization approach for river water-quality management

A previously developed fuzzy waste load allocation model (FWLAM) for a river system is extended to address uncertainty involved in fixing the membership functions for the fuzzy goals of the pollution control agency (PCA) and the dischargers using the concept of grey systems. The model provides flexibility for the PCA and the dischargers to specify their goals independently, as the parameters for membership functions are considered as interval grey numbers instead of deterministic real numbers. An inexact or a grey fuzzy optimization model is developed in a multiobjective framework, to maximize the width of the interval valued fractional removal levels for providing latitude in decision-making and to minimize the width of the goal fulfillment level for reducing the system uncertainty. The concept of an acceptability index for order relation between two partially or fully overlapping intervals is used to get a deterministic equivalent of the grey fuzzy optimization model developed. The improvement of the optimal solutions over a previously developed grey fuzzy waste load allocation model (GFWLAM) is shown through an application to a hypothetical river system. The fuzzy multiobjective optimization and fuzzy goal programming techniques are used to solve the deterministic equivalent of the GFWLAM.     

广州市流溪河水库监测布点优化研究

运用方差分析及模糊聚类分析,对流溪河水库监测布点进行优化研究,结果表明：水库水质良好,各监测点间及垂向采样点间均无显著性差异;4个库区监测点可分为3类,其余监测点可分为4类。综合考虑确定流溪河水库监测布点方案,应设置对照、控制、出水3类断面,共7个监测点,分别为玉溪河、吕田河、汇水区、库区3个和大坝监测点,每年6月进行垂向分层采样,其余月份进行表层采样。     

小秦岭金矿区矿山地质环境研究

为了了解小秦岭金矿区的地质环境,选用目前应用广泛的物元评价法、模糊数学评价法、灰色聚类评价法建立了地质环境评价模型,对小秦岭金矿区的地质环境进行了综合评价,结果表明,该地区的地质环境整体较好,局部地区已经严重恶化,同时,结合该地区的实际情况,提出了改善该地区地质环境质量的具体意见。     

模糊聚类分析法在声环境功能区划分中的应用

基于聚类分析和模糊数学的基本原理,运用模糊聚类分析的方法在南通市声环境功能区调整中对难以确定功能区的部分单元进行模糊聚类分析。通过分类,将具有共性的单元划归一类。结果表明,类别的划分突出了特性,反映了不同类别功能区的差异,对难以确定功能类别的单元归属起了科学、客观的辅助作用。     

脉冲式SBR法深度脱氮及在线控制的中试实验研究

通过考察脉冲式SBR法处理城镇生活污水时有机物降解、硝化和反硝化反应中DO、氧化还原电位(ORP)及pH的变化规律,建立了这些控制参数与有机物去除、硝化与反硝化反应过程中主要污染物指标间的相关关系.在此基础上,建立脉冲式SBR法深度脱氮的模糊控制系统,更加有效地控制脉冲式SBR法多段进水的运行方式,达到深度脱氮的目的,并尽可能降低运行成本.当进水COD在130.0～243.6 mg/L、NH 4-N在55.98～76.40 mg/L时,在原水中反硝化碳源充足情况下,脉冲式SBR法反硝化结束时最终出水COD低于40 mg/L,NH 4-N低于1.0 mg/L,TN低于3·0 mg/L.     

AHP与模糊评价法在高速公路人文景观评价中的应用

高速公路人文景观评价的难点在于人文景观影响因素的确定和指标的量化,由于其不确定性而且受到主观因素的影响很大,将其尽量量化是较好的办法.本文结合高速公路人文景观特点提出了其评价指标体系,并通过层次分析法和模糊综合评价对各指标进行了具体分析.     

灰色聚类——模糊综合评价在空气质量分析中的应用

根据营口市2005年4个自动监测点位的监测数据,应用灰色系统理论,建立了环境空气质量聚类指标体系,确定了不同环境灰类的灰数,给出了不同灰类的白化函数,标定了灰色聚类权重,并计算出了灰色聚类系数及模糊综合评价级数。针对各监测点位进行了灰色聚类分析,又对全市环境空气质量进行了模糊综合评价,确定了营口市环境空气质量状况。