Cleaner production solution selection for paper making – a case study of Latif paper products Co. Iran

Abstract

The objective of this research is to design an approach for selecting appropriate solutions to efficiently and productively reduce environmental pollution and water, energy and raw material consumption in a recycled paper manufacturing facility, the paper mill in Latif, Iran. To reach this goal, we develop a decision-making model using the Analytic Hierarchy Process (AHP). The proposed model provides a framework for cleaner production implementation specific to the paper industry. Pairwise comparisons of the results of designed questionnaires resulted in the hierarchy model being divided into five major groups: production modification; process change; preventive maintenance; renewal; and manpower resources.These five groups include 31 sub-criteria and seven alternatives. The results showed that process change yields the highest priority among the main criteria and that industrial automation and its technology level gives the highest priority among sub-criteria. Regarding the alternatives, reduction of environmental pollution is the most important solution for cleaner production in the industry. Also, product modification is the most sensitive criterion affecting the alternatives priority.     

A multiple criteria evaluation of sustainable agricultural development models using AHP

Selection of the appropriate agricultural development model has become an important issue in Iran. Using data from Fars province of Iran, the purpose of this paper is to use analytic hierarchy process (AHP) for selecting between the two competing sustainable agricultural development models, which have been developed based on the general tenets of Ecological Modernization (EM) and De-Modernization (DM) theories. Farmers, environmentalists, board members of rural cooperative, rural women and experts from Fars Agricultural (Jehad-e-Keshavarzi) Organization participated in application of AHP to this study. They applied AHP to determine the priority of DM and EM based sustainable agricultural development models. Each group determined the priority of the two models for sustainable agricultural development. The findings indicated that ecological criteria i.e. wise use of resources, environmental protection and product quality are the most important criteria for sustainable agriculture of Iran, followed by economic criterion employment and social criterion participation. A sensitivity analysis was carried out to determine the critical factors that affected the priority of alternatives. The results indicated that EM-based sustainable agricultural development model has a higher priority as the theoretical base of agricultural development of Iran. Readers should send their comments on this paper to BhaskarNath@aol.com within 3 months of publication of this issue     

Whale watch or no watch: the Australian whale watching tourism industry and climate change

Whale watching is a billion dollar industry worldwide. One of the most popular species for whale watching is the humpback whale (Megaptera novaeangliae). The migratory corridors, feeding, resting and calving sites which are used for whale watching may be influenced by changing ocean currents and water temperatures. Here, we used an innovative approach addressing the emerging issue of climate change on the whale watch industry. This involved participatory modelling using key stakeholders for the whale watching industry to develop a systems conceptualisation model for evaluating the potential effects of climate change based on a case study from the east coast of Australia. This participatory approach allowed us to identify the causal linkages (including feedback pathways) between different “Elements” of the system within which the whale watching industry operates. It also allowed us to integrate multiple drivers covering socio-economic and environmental aspects including climate change (e.g. temperature), policy (e.g. number of boats), ecology (e.g. number of whales) and socio-economics (e.g. number of tourists) to evaluate the changes in the overall system. We then developed a Bayesian belief network model from the systems conceptualisation on which stakeholders identified a priority issue (Profitability). Stakeholders provided the structure and the quantification of this model, and a sensitivity analysis was carried out to help identify important intervention points for the industry. Overall, our research illustrates how such a modelling process can assist local tourism operators and authorities in making rational management decisions within a holistic or systems-based framework and its approach is applicable to other regions.     

The influence of uncertainty and location-specific conditions on the environmental prioritisation of human pharmaceuticals in Europe

The selection of priority APIs (Active Pharmaceutical Ingredients) can benefit from a spatially explicit approach, since an API might exceed the threshold of environmental concern in one location, while staying below that same threshold in another. However, such a spatially explicit approach is relatively data intensive and subject to parameter uncertainty due to limited data. This raises the question to what extent a spatially explicit approach for the environmental prioritisation of APIs remains worthwhile when accounting for uncertainty in parameter settings. We show here that the inclusion of spatially explicit information enables a more efficient environmental prioritisation of APIs in Europe, compared with a non-spatial EU-wide approach, also under uncertain conditions. In a case study with nine antibiotics, uncertainty distributions of the PAF (Potentially Affected Fraction) of aquatic species were calculated in 100 1 100 km² environmental grid cells throughout Europe, and used for the selection of priority APIs. Two APIs have median PAF values that exceed a threshold PAF of 1% in at least one environmental grid cell in Europe, i.e., oxytetracycline and erythromycin. At a tenfold lower threshold PAF (i.e., 0.1%), two additional APIs would be selected, i.e., cefuroxime and ciprofloxacin. However, in 94% of the environmental grid cells in Europe, no APIs exceed either of the thresholds. This illustrates the advantage of following a location-specific approach in the prioritisation of APIs. This added value remains when accounting for uncertainty in parameter settings, i.e., if the 95th percentile of the PAF instead of its median value is compared with the threshold. In 96% of the environmental grid cells, the location-specific approach still enables a reduction of the selection of priority APIs of at least 50%, compared with a EU-wide prioritisation.     

资源开发项目投资方案评价优选模型及应用

在分析某煤田“十一五”规划投资方案的基础上，在一般层次分析法中引入模糊数学理论，运用模糊层次分析法（FAHP），首先建立投资方案优选模型，对相关经济指标进行统一量化，建立评价指标体系，用于建立资源开发项目投资方案评价优选模型。使资源开发项目投资方案评价优选更加简便易行，具有良好的理论和实践意义。     

生态示范区内生态工业建设模式探讨

生态工业建设为生态示范区建设的重要内容之一 ,是一项涉及到地区经济发展、人地关系协调的重大举措。从生态示范区建设中生态工业的基本定义出发 ,对生态工业建设层次进行详尽分析 ;并结合代表江苏省苏南、苏中和苏北不同社会经济发展水平的三个地区——吴县市、邗江县和邳州市的具体案例 ,通过对其产业构成、主导产业、消费结构以及经济发展总量与人均水平的对比分析 ,指出经济发展水平较低的地区要立足当地农业资源 ,实施末端治理并逐步推广清洁生产这种较低层次的生态工业建设模式 ;而经济发展较好的地区其生态工业的建设则要采用生态企业以及生态工业园区这种较高层次的建设模式。为确保生态工业建设的顺利实施 ,最后从政府、企业、市场和公众四方面提出了生态工业建设的驱动机制     

Computing sustainable manufacturing index with fuzzy analytic hierarchy process

The growing industrial interest in adopting sustainability programmes has ushered in studies regarding sustainability indicators which have continually flourished in current literature. However, limited attention is given to the development of priority ranking, which is an important input for any adopting firm. This paper presents a hybrid multi-criteria approach in determining priority areas in sustainable manufacturing (SM). Using fuzzy analytic hierarchy process to address uncertainty in hierarchical decision-making, this paper determines SM priority strategies and eventually identifies even lower level strategies. The computed sustainable manufacturing index is presented at both the organizational and operational levels for a real case study of an industrial plastic manufacturing firm. This work provides a detailed and transparent hierarchical decision-making approach based on SM framework, the use of which could be valuable to practicing managers across industries in their pursuit of greater sustainability.     

洞庭湖区血吸虫病疫水人水相互作用关系及防控方案研究

研究洞庭湖区血吸虫病人水相互作用关系及传染防控,是推进湖区社会经济稳定健康发展的重要保障。从水文情势、产业发展、居民行为、城乡建设四方面探讨了洞庭湖区血吸虫病疫水人水相互作用关系,并运用系统动力学模型,设置教育优先方案、生态保护优先方案和城镇化推进方案对其防控方案进行系统仿真模拟和对比分析,研究结果表明:(1)水文等生态因素对于人水接触的影响逐步减少,而社会经济因素则显得越来越重要。(2)系统动力学模型能有效展示血吸虫病各影响因素之间的关系,是研究血吸虫病防控的有效方法之一。(3)依据仿真模拟结果,城镇化推进方案是经济增长、城乡协调、环境友好的最优血防方案。     

Integrated Water and CGE Model of the Impacts of Water Policy on the Beijing's Economy and Output

The article used general equilibrium model to analyze the change of gross domestic product and industry output affected by water resources policies in Beijing City by using GEMPACK soft tool.The article researches on rules of water supply and demand,evaluating water resources,building water resources input and output table,establishing water computable general equilibrium model and stimulating water policy.The stimulation gives a scenario that increases water price by 10%.The result shows the following aspects.First,water resources policy infects gross domestic product and industry output in different ways.There are different behaviors in different industries as to the water policy.Agriculture industry has the same tendency as water price change and it has more sensitive to water quantity than to water price.For basic energy industries such as oil and chemistry and gas,they show diversity tendency.As to some high water consumer industry such as paper and textile etc.,water resource economic policy can infect them greatly and can promote them to accomplish more water-saving technology.Waste water and construction and service industries show the same tendency as to water policy.Second,government should pay more attention to water resource policy by macro economic administration.The simulation also shows that the output and supply and consumer price change more than expect as to water policy in a free market economic in water industry.So as to a government policy maker,one should be more carefully and prepare suitable forecast and plan to water policy and its negative impact.     

A multicriteria-based methodology for site prioritisation in sediment management

Decision-making for sediment management is a complex task that incorporates the selections of areas for remediation and the assessment of options for any mitigation required. The application of Multicriteria Analysis (MCA) to rank different areas, according to their need for sediment management, provides a great opportunity for prioritisation, a first step in an integrated methodology that finally aims to assess and select suitable alternatives for managing the identified priority sites. This paper develops a methodology that starts with the delimitation of management units within areas of study, followed by the application of MCA methods that allows ranking of these management units, according to their need for remediation. This proposed process considers not only scientific evidence on sediment quality, but also other relevant aspects such as social and economic criteria associated with such decisions. This methodology is illustrated with its application to the case study area of the Bay of Santander, in northern Spain, highlighting some of the implications of utilising different MCA methods in the process. It also uses site-specific data to assess the subjectivity in the decision-making process, mainly reflected through the assignment of the criteria weights and uncertainties in the criteria scores. Analysis of the sensitivity of the results to these factors is used as a way to assess the stability and robustness of the ranking as a first step of the sediment management decision-making process.     

基于情景分析的区域洪涝灾害风险评价——以巢湖流域为例

洪涝灾害是制约区域粮食安全和社会可持续发展的主要因子之一。在风险识别的基础上,从致灾因子、孕灾环境、承灾体等方面选取评价指标,建立评价指标体系。运用层次分析法确定指标权重,通过情景分析技术从降水、土地利用、人口、GDP等方面构建复合情景;应用GIS空间分析技术构建洪涝灾害风险评价模型,对巢湖流域洪涝灾害风险进行评价。研究结果表明:2020年巢湖流域洪涝灾害危险性由东南部向西北部减小;合肥市区的洪涝灾害易损性最大,和县的易损性最小。巢湖流域东南部洪涝灾害风险最大,西南部的大别山区风险较小,随着重现期的增大,流域的洪涝灾害风险也逐渐增大。模拟灾害发生的情景,并分析不同情景下的洪涝灾害风险,更能体现洪涝灾害的不确定性和变化性,为流域防洪战略决策研究提供科学依据。     

Using biomass residues from oil palm industry as a raw material for pulp and paper industry: potential benefits and threat to the environment

Oil palm industries produce an enormous quantity of lignocellulosic biomass; in the form of large leaves of palm tree, pruned fronds (OPF) and oil palm trunks (OPT) at the plantations site. Besides this, the processing of fresh fruit bunches in the oil mills generates empty fruit bunches (EFB), shells, kernel cake and mesocarp fibers. The proper management of this burgeoning waste and its disposal is an ardent task and creates environmental hazards. In order to deal with the biomass residues, the urgent need is that it should be transformed into resources with industrial utility. As the economic development has resulted in the significant increased demand for paper, the industry is looking for eccentric sources to fulfill the requirement. The pulp and paper industry preferred use of coniferous and deciduous trees for papermaking because their cellulose fibers in the pulp make durable paper. With improvements in pulp processing technology, fibers of almost any non-wood of plants species like bamboo, cereal straw, sugarcane, flax, hemp and jute can be used for paper pulp. Substituting this lignocellulosic material can reduce the burden on forest while supporting the natural biodiversity. The present review deals with the possibilities of using oil palm biomass as a raw material for pulp and papermaking, as this would ameliorate its waste management problem. The potential of oil palm biomass and the challenges regarding its use in papermaking are discussed. The use of oil palm biomass will apparently prove that the oil palm industry is ecofriendly in every aspect of its activities and aid in sustainability of forest ecosystem.     

Empirical analysis of carbon tariff’s effect on the export structure of China’s manufacturing industry and social welfare based on the GTAP model

In recent years, carbon emissions have gradually evolved from an environment issue into a political and economic one. Carbon tariff has brought about new trade barriers of developed countries, and in order to enhance the industrial competitiveness of developed countries, it will produce unfavorable impact on developing countries. Concentrated on the manufacturing industry, which is the most intensive high-carbon industry in China’s export structure, this article studies the relationship between carbon tariff policy and industry structure of export trade and builds up a relation between climate change and international trade. First, by means of establishing a partial equilibrium model, it applies geometric analysis and mathematical analysis to compute the impact on China’s manufacturing export trade and the consequences of the introduction of the US carbon tariff to China’s manufacturing industry that has already imposed a domestic shipping carbon tax. Furthermore, with the application of the GTAP model, it estimates the overall economic and welfare effects on China’s manufacturing industry if the US and Europe introduce carbon tariff by means of four ways, and then analyzes the influence on China’s manufacturing industry export structure and social welfare as well. The result shows that the introduction of the US carbon import tariff lowers China’s export price and export volume, and the implementation of a domestic carbon tax justifies a higher export price and a lower export volume for China. However, the degree of export reduction is smaller than that under the effect of the US carbon tariff. In the case of developed countries imposing carbon tariff on China’s energy-intensive industries, such as chemical rubber products, oil and coal-processing industry and paper industry, whose export would be reduced, the negative impact on the paper industry is the severest, which will decrease the paper industry’s export ranging from 1.79% to 6.05%, whereas the other industries’ export will increase. Anyhow, it will promote China’s manufacturing industry to adjust the export structure to a certain extent. In addition, it will lead to a decrease in China’s welfare, with a decrease between $2.134 billion and $8.347 billion. Finally, this paper provides information on international coordination, export structure adjustment and green manufacturing adjustment as a reference for the development of China’s manufacturing industry.     

试论环境保护投资与环保产业的发展

本文针对国内学术界和政府部门在环境保护产业投资和环境保护投资方面的模糊认识,明确区分了环保投资与环保产业投资,阐释了狭义的环保投资概念和环保投资与环保产业市场化的关系,论述了环保投资对环保产业市场化的作用,并强调只有坚持以市场为导向,环保产业才能健康发展,本文还论述了在拓展市场业务的过程中,受需求牵引,环保产业必然会由以末端治理服务为主转向为企业生产全过程的服务为主,最终融于生产过程而转化为清洁生产行为或产品生命周期管理。     

基于Dyna-CLUE模型的太湖流域建设用地空间扩张模拟

从区域尺度模拟建设用地空间扩张是理解和解释区域土地利用变化过程与趋势的有效途径之一。基于Dyna-CLUE模型,通过1985年以来5个时段太湖流域遥感影像数据及自然与社会经济数据提取先验转换规则,模拟未来太湖流域在耕地保护、生态保护与综合保护3种不同情景模式下建设用地空间增长过程。结果显示：3种模拟情景下Kappa 系数均大于0.75,具有较高的一致性,表明Dyna-CLUE模型在太湖流域建设用地空间扩张模拟中有较强的适用性;3种情景下,综合保护情景下建设用地扩张模拟精度最高;2020与2030年流域建设用地扩张均以大城市周边为主导,其中2010～2020年扩张总量位居前列的城市依次为上海、嘉兴、无锡和湖州等,而2020～2030年依次为嘉兴、苏州、上海和无锡等。2020年、2030年建设用地空间扩张模拟结果基本符合太湖流域建设用地空间扩张的趋势。研究方法及模拟结果相对可靠,以期为未来太湖流域城市化进程中的土地利用规划实施,特别是土地利用宏观需求的空间配置提供一定的借鉴与参考     

Determination of the optimal land use allocation pattern in Nowshahr County,Northern Iran

Regional models of land use change are evaluated as a way of identifying land use pattern based on recent quantitative and probabilistic approaches. Differentiation between models in this area is the result of the approach to the concept of land use and type of indicators used in the modeling process. Since the determination of the optima land use pattern, due to the different uses of land based on the availability of regional capabilities and spatial difference in land use, depends on an integrated model, there must be a model that can assess the existing conditions of the region and present reasonable models of land use according to regional capacities and potentials. In this research, we developed a model to present the Optimal Land Use Allocation Pattern (OLUAP) for maximizing the advantages of change and determining the methods of influencing land use change priorities. This model uses spatial models and analysis, moderates the cost-benefit function, and calculates the allocation priorities of various areas based on regional conditions. The model results show that a wide scope of Nowshahr area is allocated to natural and agricultural uses. At the same time, a limited area has been assigned to urban and industrial uses. In addition, it shows that northern strip of the region due to higher accessibility of services and infrastructures is more suited than other regions to urban and industrial areas, and these two uses have first and second priority, respectively. Besides, according to the man-made environment and the special environmental conditions, the model allocates the central lowlands and southern parts sporadically to agricultural and natural areas as first and second priorities. Since the model is spatial optimization, the suggestions of the model show the OLUAP. Therefore, one can see the optimal condition for each plot and compare it with the existing land use.     

基于Copula函数的汉江中上游流域极端降雨洪水联合分布特征

选取汉江中上游流域作为研究对象,根据流域九个气象站点1969~2008年逐日降雨资料以及丹江口水库同时期日入库流量资料,采用年最大值法(AM)和百分位法两种选样方式选取1 d、3 d降雨和1 d、3 d洪量极值样本,分别运用广义极值分布(GEV)、广义帕累托分布(GPD)、伽玛分布(Gamma)3种极值统计模型对样本进行单变量边缘分布拟合,运用Gumbel、Clayton以及Frank Copula函数模型对样本进行多变量联合分布拟合,遴选出描述流域降雨和洪水联合分布规律的最优概率模型。结果显示:对于AM选样样本,边缘分布为GEV时降雨洪量的二维和三维联合分布Frank Copula函数拟合效果最优;对于百分位选样样本,边缘分布为GPD时降雨洪量的二维联合分布Gumbel Copula函数拟合效果最优,三维联合分布则是Frank Copula函数拟合效果最优;比较二维和三维Copula函数模拟结果,三维联合Copula函数推求的设计值更大,说明三维联合分布考虑了更多的变量和极值信息,能更全面地反映极端降雨洪水事件的真实特征,对工程设计更显安全。     

国外学术界对《巴黎协定》的评价及履约前景分析

2016年《巴黎协定》的正式生效是全球环境治理的重要里程碑,是国际社会在应对气候变化的艰难进程中迈出的重要一步,标志着全球环境治理从此进入履约阶段。本文基于宾夕法尼亚大学智库与公民社会项目(TTCSP)公布的《2015年全球智库指数报告》,选取其中排名前十位的国际环境智库的研究报告和环境领域中代表性学者的相关论文,对国外学术界有关《巴黎协定》履约前景的分析进行了系统梳理,并对此做出简要评述。文章在肯定《巴黎协定》有力推进国际气候治理进程的同时,也指出在新的国际形势之下,尤其是在英国正式启动脱欧进程和特朗普新任美国总统后,其履约过程中更是存在着协定之内和协定之外的众多挑战和不确定性,本文的基本结论如下:首先,协定之内面临着协定缔约方国内批准程序上的挑战;国家自主贡献的实现与发展中国家能力建设;2℃温升目标的实现前景;审评和盘点的效力评估;碳市场机制能否有效运行。其次,协定之外面临着英国脱欧的潜在气候政策变化及影响;美国气候政策的可能变化及其影响。基于对以上智库报告和相关研究论文的分析,笔者对《巴黎协定》的履约前景得出几点看法:(1)正视国际气候合作的机遇与挑战;(2)对具体议题的落实需充满信心;(3)理性冷静看待英美气候政策的可能变化;(4)鼓励环境类国际组织之外的非国家行为体展开通力合作。对此,我们应正视履约中的挑战与不确定性,做好充分的应对之策,确保履约进程的顺利完成。总之,《巴黎协定》的履约前景不容乐观,国际社会任重道远。     

区域规划实施结果评估——以《江苏省沿江开发总体规划》为例

规划评估是确保区域规划有效实施的必要环节,实施结果评估是区域规划实施评估中不可回避的重要一环,对区域规划的有效推进无疑具有现实意义,但是相关研究却极为不足。从区域规划的特征对结果评估的影响出发,试图以完成规划战略意图作为实施结果评估标准为切入点,以《江苏省沿江开发总体规划》为例,构建区域规划实施结果评估的指标体系,进行了实证研究。研究发现,规划在引导产业定位与布局、基础设施建设等方面发挥了积极作用,从而提高了区域竞争力、减小了区域内部差异,总体实施结果良好。但在资源集约利用与生态保护方面却作用较弱,较弱的规划协调利益冲突能力以及实施保障机制是影响规划作用发挥的重要因素。最后,分析了结果评估的局限性并指出下一步研究的方向     

气候变化对鄱阳湖流域干旱灾害影响及其对策

以我国历史气候变化的事实与过程重建的成果为基础,以历史文献为依据,分析了两宋以来鄱阳湖流域气候变化与洪水干旱灾害发生的关系,结果表明,不管气候处于温湿期还是冷干期,发生洪水灾害的频率没有显著区别;但是当气候处于冷干时期,发生干旱灾害的频率增大,特大干旱年和连续干旱年组频频出现。利用气象、水文资料统计分析表明,最近60 a来,气温呈现增高趋势,逐年的日降水强度明显增加,洪水干旱等极端事件发生更加频繁。为了更好地应对干旱灾害,必须加强水需求管理、坚持节约用水为先;加强病险水库的治理,使其充分发挥作用;对现有水利工程进行再评估,实施适应性管理,充分挖掘工程潜力;加大力度,新建与自然和谐相处的水利工程