A quantitative water resource planning and management model for an industrial park level

This paper introduces an integrated water management model at the industrial park level. It suggests four approaches to water management: first, direct water reuse among users; second, water reuse among users by blending with freshwater; third, water reuse between users and a wastewater treatment plant; and fourth, groundwater recharge by reclaimed wastewater or other feasible applications in order to optimize the overall water efficiency. The model results in a comprehensive management methodology for optimizing water resources within an industrial park, seeking potential water reuse among industries, and incorporating the size and cost of reclaimed wastewater delivery systems. A case study is employed to test the model’s feasibility. An economic analysis of the optimized water use network is also carried out, showing the potential water and cost savings.     

The South Australian lobster fishery management model

Modelling the rock lobster (Jasus edwardsii) fishery in South Australia was the focus of a three-year data gathering program. In collaboration with fishers, a tool for assisting in the sustainable management of the resource was developed. The goal was to test management policies to allow increases in reproductive output while enhancing economic yield. The model's user interface was developed to an ease of use comparable to commercial software for use by fishers in comanagement of the resource. This paper describes the modelling framework, user interface, and results for management strategies under consideration. The framework is comprised of five principle submodels: catch, effort, growth, economics, and population reproduction, with the lobster population divided into 8 mm length classes by sex and spatial cell. The mortality of lobsters occurs by commercial harvest, natural mortality, incidental release mortality, predation inside pots before retrieval, illegal harvesting, and recreational catch. Five categories of management control scenario were simulated: catch quota, effort regulation (as total pot retrievals), size regulations (allowing minimum, maximum, and mid-range slice length protection), and seasonal and area closures. Model outputs imply that size strategies have limited potential compared with effort limitations and quota.     

A biomathematical model of hematotoxicity

Pharmacodynamic models representing interactions among chemicals and cells can help to clarify how time patterns of administered dose affect risks of adverse health outcomes. This paper summarizes a model that predicts the effects of the myelotoxic and immunosuppressive drug cyclophosphamide (CP) on the hematopoietic (blood-forming) system. It consists of a set of physiological compartments representing hematopoietic progenitor cell, granulocyte-macrophage (GM)-committed stem cells, and more mature blood cells. These compartments are linked by nonlinear feedback control loops and are susceptible to first-order cell-killing kinetics from cytotoxic metabolites. The model was validated by testing its predictions against experimental and clinical data for blood cell counts following administration of CP to mice, dogs, and humans. It successfully explains apparent anomalies and patterns in previously published data, including the fact that smaller cumulative doses can cause larger hematotoxic responses. An intriguing prediction from the model is that sustained exposures to sufficiently small concentrations of myelotoxic agents may tend to provoke a protective response, increasing rather than decreasing the numbers of GM colony-forming units (CFU-GM) and early hematopoietic stem cells available to sustain hematopoiesis.     

A cross-scale impact assessment of European nature protection policies under contrasting future socio-economic pathways

Regional Environmental Change - Protection of natural or semi-natural ecosystems is an important part of societal strategies for maintaining biodiversity, ecosystem services, and achieving overall...     

The origin and development of nature conservation: A view from the boundary between millennia

A concise but informative “Calendar of Events in Nature Conservation” is presented in order to illustrate the complex process of Man's realization of his place in Nature.     

The democratic and sacred nature of agriculture

‘Sustainable’ agriculture is a relative recent invention. It is a salvage operation designed to undo some of the harm of agribusiness, which nearly wiped out farming as a way of life. Sustainable agriculture tries to restore methods of farming and values that satisfy present needs for food without compromising the food for future generations. Sustainable farming, however, remains experimental and on the fringes of society and science. It includes all kinds of farming practiced by peasants, small-scale family farmers, organic farmers as well as large farmers. In what follows, I am showing, first, farming is or becomes sustainable when two things prevail: First, it is democratic, spread throughout the land in the form of family farming while the difference in size among farms is modest at best. Second, farming is sustainable when it draws its inspiration and methods not merely from the most advanced ecological science but from ancient agrarian cultures. I briefly highlight the case of ancient Greek farming as having the virtues of sustainability: that of equity and democracy. In our times, however, agribusiness and animal farming fail the criteria of sustainability.     

A model for positive environmental control

In the control of pollution, two apparently important facts are often negelected: (1) removal of a particular pollutant from a particular source and location may merely result in transforming it into a pollutant, or pollutants of different forms, in other locations; (2) the activity of pollution control itself requires inputs, the production of which may generate additional pollutants. In order to achieve positive environmental control, these two facts must be considered in selecting control processes and in determining optimum control standards. It is necessary that an integrated approach to pollution control be taken, making allowances for ecological inter-relations. As practiced today, pollution control is handled as separate problems of disposing gas, liquid and solid wastes. This paper proposes a model for evaluating the total environmental impact of a pollution control process or method. Theoretical criteria for determining an optimum control level with or without resource constraint are also derived.     

A model of ozone production in urban plumes

A model of rural smogs and urban plumes introduced into rural smog is developed. The single day variation of level of reactive species including ozone in rural smog in the eastern United States is simulated by mathematical modelling. Rural air masses are modelled as though they were outdoor smog chamber systems of low inital contaminant concentration to which small additional injections of contaminants, representing rural emissions, are made throughout the day. Rural smogs containing urban plumes are modelled as though they were outdoor inflatable smog chambers to which relatively large amounts of pollution material are added in the early minutes after sunrise and which are continuously diluted with material from chambers simulating rural smog. The urban plume model is specifically intended to simulate the photochemistry of parcels of air which sweep over relatively isolated cities in the eastern United States.The model runs suggest that the observed lack of urban plumes downwind of small cities is due to dilution. Additionally, the model suggests that the concentrations of both ozone and ozone precursors in rural smog have a significant effect on ozone production in urban plumes.     

On the nature of barriers to climate change adaptation

Considerable barriers can emerge in developing and implementing climate change adaptation strategies. Understanding the nature of barriers to adaptation is important so as to find strategic ways of dealing with them. However, our current understanding is limited and highly fragmented across the academic community. This paper aims to bring some conceptual convergence in these debates by applying a systematic review method to assess the current state of knowledge on barriers to adaptation in the peer-reviewed literature. The review results show that: (1) Barriers to adaptation have hardly been defined in the literature and no clear indicators exist so as to identify and assess them systematically. (2) An impressive number of barriers have been reported, but the list of possible barriers is seemingly endless. (3) The most frequently reported barriers relate to the institutional and social dimensions of adaptation. (4) Barriers are identified as configurations of climate and non-climate factors and conditions that emerge from the actor, the governance system, or the system of concern. (5) Barriers are mainly studied in developed countries with a strong focus on water-related domains. (6) The majority of studies on barriers use small-n inductive case approaches while comparative studies across different contexts are limited. (7) Although interventions to overcome barriers are recommended by most studies, empirical studies on interventions are scarce. We present further conceptual clarification and a more precise definition of barriers to adaptation. We conclude that future research should go beyond asking the questions ‘if’ and ‘which’ barriers to adaptation exist and begin asking ‘how’ and ‘why’ barriers emerge.     

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.     

Grassland dynamics of radioiodine: A filtration model simulation

The importance of certain air-pasture-herbivore-foodstuff pathways in a radiological impact assessment of airborne radioiodine necessitates a reliable quantitative simulation of the dynamics along each step of those pathways. Iodine's transport to and dynamics within a grass canopy are investigated, using a previously formulated filtration model as a contending simulator. The model's prediction is severally fitted (with high quality) to experimental data on the grassland retention of intercepted iodine, providing consistent model parameterisations, namely, that of the surface-lodged iodine, ≈20% is dislodged and ≈4% is assimilated per day. However, the model is not severely tested by the short experimental durations (up to one month) and shallow grassland canopies (up to 0·2 kg m^?2 dry herbage density) for which predictions of retention depart insubstantially from exponentiality. The model is potentially a strong candidate for estimating the necessity for, and duration of, interdiction of radioiodine-contaminated grazing land — in respect of either actual contamination or a postulated contaminating scenario.     

Multi-objective optimization model for water resource management: a case study for Riyadh,Saudi Arabia

A multi-objective goal programming model was developed for water distribution from multiple sources to multiple users. The model was applied in Riyadh, Saudi Arabia, for the period of 2015–2050. In Riyadh, water sources are groundwater (GW), desalinated water (DW) and treated wastewater (TWW), while the users are domestic, agricultural and industrial sectors. The model was applied to: (1) satisfy water demands and quality; (2) maximize TWW reuse and GW conservation; and (3) minimize overproduction of DW and overall cost. In 2015, the required allocations of GW, DW and TWW are 3286, 662 and 609 MCM, respectively, which are projected to be 4345, 1554 and 1305 MCM in 2050, respectively. GW source is likely to satisfy the predicted withdrawal of GW till 2035, while probabilities of non-satisfaction of full demands of GW in 2040, 2045 and 2050 were 0.04, 0.23 and 0.51, respectively. Supply of DW and reuse of TWW are needed to be increased to satisfy the predicted quantities during 2015–2050.     

A decision model for environmental R&D

In this paper, a simple decision model is formulated to investigate the optimal funding level for an environmental R&D activity. The Bayesian approach is extended to research in situations where the researchers have prior beliefs different from the ultimate decision makers. Sensitivity analysis demonstrated how the optimal level of R&D varies with assumptions about: 1) the shadow price of R&D resources, which is a measure of the scarcity of funds; 2) the technical difficulty of the research area; 3) the potential payoffs involved in the decision that may be influenced by the research outcome; and 4) the prior knowledge of the key decision makers. Among other insights, analysis of the model demonstrated that the optimal research expenditure jumped from zero to a significant amount or conversely with small changes in parameters. The jump occurred when the expected cost of an uninformed decision equals the cost of research plus the expected cost of the contingent decision. In addition, the optimal research expenditure was sensitive to the technical difficulty of the research area.     

A model of vegetation pattern at the Verkhneussuriysky Biogeocenotic Station

A model of relationships between forest communities and basic parameters of environmental conditions, which is suitable for making prognostic maps of forest types, has been developed and tested on the territory of Verkhneussuriysky Biogeocenotic Station of the Institute of Biology and Soil Science. A comparative analysis of the spatial distribution of forest communities has been performed according to this model and to the large-scale map of recent forest vegetation on the territory of the station.     

人口长期均衡发展及其评价监测模型的构建与应用

在借鉴已有理论的基础上,界定了人口长期均衡发展的内涵,提出人口长期均衡包含人口内部均衡和人口外部均衡两个方面,人口内部均衡包括人口数量、人口质量和人口结构三个维度,人口外部均衡包括人口与经济、人口与社会、人口与资源、人口与环境四个维度;在此基础上构建了人口长期均衡发展的指标体系和评价模型,指标体系设定为三级,第一级包括人口内部均衡和人口外部均衡两个方面,第二级由人口数量、人口质量、人口结构等七个部分构成;第三级指标包括反映内部均衡的7个指标以及反映外部均衡的13个指标.并使用层次分析法确定了指标的权重;采用2000-2007年31个省级单位的数据对人口长期均衡发展评价模型进行了验证,并对人口总体均衡水平以及影响人口均衡发展的关键要素进行了实证分析.结果表明.北京、上海和浙江分列前三,人口均衡发展程度最高.从影响均衡程度的关键因素看.人口质量和人口结构是制约人口自身均衡的主要因素,人口与社会的均衡状况对人口与外部系统均衡制约最大,其次是人口与经济的均衡状况.     

The role of learning in transdisciplinary research: moving from a normative concept to an analytical tool through a practice-based approach

Transdisciplinary (TD) research is an example of a participatory research approach that has been developed to address the complexity of societal problems through the exchange of knowledge and expertise across diverse groups of societal actors. The concept of knowledge exchange is central to the ability of TD research to produce usable knowledge. There is, however, limited theoretical attention to the processes that enable knowledge exchange, namely learning. In this article, we analyze the “transferability” of knowledge generated in TD research settings from a practice-based approach. In this approach, learning and knowing are seen as situated in social practices, in meaning making processes where the involved participants make sense of what they do and why they do it. We describe and analyze three TD projects, and discuss the role of practitioners’ perspectives in the interpretation of the tasks and realization of TD, and in the consequences this has for the organization of the research process and the usability of its results. The analysis shows that while the project teams were given the same task and framework, they did not understand or enact TD in a similar fashion. The three projects created different goals and organizations. They also resulted in different challenges, which could be identified and analyzed by the use of a practice-based approach to learning. In the conclusions, we identify aspects for both practice and research that are important for creating sufficient conditions for learning in TD research processes so that they can better promote contributions to societal change.     

An integrative negotiation model to deal with conflicts toward water resources management: a case study in Brazil

Environment, Development and Sustainability - An integrative negotiation model is proposed so that watershed committees (WSC) can deal better with conflicts over alternatives for protecting water...