A new generic sub-model for radionuclide fixation in large catchments from continuous and single-pulse fallouts, as used in a river model

This paper presents a new general sub-model for fixation in catchment areas to be used within the framework of a river model for substances such as radionuclides and metals from continuous and single-pulse fallouts. The model has been critically tested using data from 27 European river sites covering a very wide geographical area and contaminated by radiocesium and radiostrontium from the Chernobyl accident and from the nuclear weapons tests (NWT fallout). This modelling approach gives radionuclide concentrations in water (total, dissolved and particulate phases) at defined sites on a monthly basis. The overall river model is based on processes in the upstream river stretch and in the catchment area. The catchment area is differentiated into inflow (approximately dry land) areas and outflow (approximately wetland) areas. The model has a general structure, which can be used for all radionuclides or substances. It is simple to apply in practice since all driving variables may be readily accessed from maps and standard monitoring programs. The driving variables are: latitude, altitude, catchment area, mean annual precipitation and fallout. Note that for large catchments, this model does not require data on the characteristic soil type or the percentage of outflow areas (wet lands) in the catchment, as in most previous models, since in practice it is very difficult to obtain reliable data on characteristic soil type or percentage of outflow areas, especially in large and topographically complex catchments. Modelled values have been compared to empirical data from rivers sites covering a wide domain (catchment areas from 3000 to 3,000,000 km2, precipitation from 400 to 1700 mm/year; fallouts from 1600 to 280,000 Bq/m2; altitudes from 0 to 1000 m.a.s.l. and latitudes from 41 degrees to 72 degrees N). The river model with its sub-model for fixation predicts close to the uncertainty factors given by the empirical data, which have been shown to be about a factor of 1.6 for 137Cs and a factor of 2.2 for 90Sr in river water. The obtained characteristic uncertainty factors for 137Cs from the Chernobyl fallout is 2.4, for 137Cs from the NWT fallout it is 1.3 and for the 90Sr results from the NWT fallout it is 3 using the new model.     

A new general mechanistic river model for radionuclides from single pulse fallouts which can be run by readily accessible driving variables

This paper presents a new general, process-based river model for substances such as radionuclides from single pulse fallouts. The new model has been critically tested using data from 13 European rivers contaminated by radiocesium from the Chernobyl accident. This modelling approach gives radionuclide concentrations in water (total, dissolved and particulate phases; and also concentrations in sediments and fish, but the latter aspects are not discussed in this paper) at defined river sites. The model is based on processes in the upstream river stretch and in the upstream catchment area. The catchment area is differentiated into inflow ( approximately dry land) areas and outflow ( approximately wetland) areas. The model also accounts for time-dependent fixation of substances in the catchment. The catchment area sub-model is based on a previous catchment model, which has been tested with very good results for radiocesium, radiostrontium and Ca-concentrations (from liming operations). The new river model is simple to apply in practice since all driving variables may be readily accessed from maps and standard monitoring programs. The driving variables are: latitude, altitude, continentality, catchment area, mean annual precipitation, soil type (percentages or organic and sandy soils), fallout and month of fallout. Modelled values have been compared to independent empirical data from 10 rivers sites (91 data on radiocesium in water) covering a wide domain (catchment areas from 4000 to 180 000 km(2), precipitation from 500 to 960 mm/yr and fallout from 1700 to 660 000 Bq/m(2)). The new model predicts very well--when modelled values are compared to empirical data, the slope is perfect (1.0) and the r(2)-value is 0.90. This is good giving the fact that there are also uncertainties in the empirical data, which set a limit to the achieved predictive power, as expressed by the r(2)-value.     

Effects of model complexity on uncertainty estimates

In the Model Complexity working group of BIOMOVS II, models of varying complexity have been applied to a theoretical problem concerning downward transport of radionuclides in soils. The purpose was to study how uncertainty in model predictions varies with model complexity and how model simplifications can suitably be made. A scenario describing a case of surface contamination of a pasture soil was defined. Three different radionuclides with different environmental behavior and radioactive half-lives were considered: ¹³⁷Cs, ⁹⁰Sr and ¹²⁹I. A detailed specification of the parameters required by different kinds of models was given, together with reasonable values for the parameter uncertainty. A total of seven modelling teams participated in the study using 13 different models. Four of the modelling groups performed uncertainty calculations using nine different modelling approaches. The models ranged in complexity from analytical solutions of a 2-box model using annual average data to numerical models coupling hydrology and transport using data varying on a daily basis.     

湖泊流域系统水文水动力联合模拟研究进展综述

湖泊流域水文水动力联合模拟对综合管理湖泊流域水资源具有重要的理论和实践意义。通过水文水动力联合模拟研究进展的综述,可深入了解湖泊流域联合模型发展和演变过程,把握国际研究主流趋势和前沿手段。传统湖泊流域联合模拟方法主要通过流域水文模型结合湖泊水量平衡模型来计算湖泊流域水均衡组分,但水量平衡方法仅是对湖泊过程的一般性描述,难以切实反映水位空间差异显著的湖泊系统有着显著的水动力特性。基于流域水文模型与湖泊水动力模型的联合系统克服了大尺度湖泊流域系统难以切实描述和完整模拟的难点,在湖泊流域系统水资源管理与调控中发挥了重要作用。系统概述了国内外不同尺度湖泊流域系统水文水动力联合模拟研究,归纳总结了基于外部耦合、内部耦合与全耦合技术的联合模型的优势和不足。从学科发展趋势和应用需求的角度出发,概述了湖泊流域系统联合模拟的难点和今后发展趋势     

Modelling the transport of radionuclides from land to water

This paper addresses some fundamental problems related to the structure and function of catchment areas in general and for seasonal (weekly, monthly) mass balance calculations of radionuclides (and metals, organics and nutrients) in particular. A new catchment area model has been developed and critically tested. This modelling approach is based on mechanistic principles. The catchment area is differentiated into inflow ( approximately dry land) areas and outflow (=wetland) areas. The model also accounts for time-dependent fixation of substances in the catchment related to single-pulse fallouts. The model has a general structure. It is simple to use since there are only two soil type classes and three categories for the outflow areas. In critical tests, the model was put within a framework where it is intended, i.e., within a more comprehensive lake model. Radiocesium was used as a tracer in these tests. Modelled values were compared to empirical data from 23 lakes (351 data on (137)Cs in water, as well as in sediments, small fish and on suspended particles) covering a very wide limnological domain (latitudes from 42 to 61 degrees V, altitudes from 0 to 1090 m ASL, catchment areas from 0.17 to 114,700 km(2), precipitation from 430 to 1840 mm/year, lake areas from 0.042 to 1147 km(2), mean depths from 1.1 to 90 m, pH from 5.1 to 9 units, potassium concentrations from 0.23 to 27.5 mg/l, total P concentrations from 8.3 to 100 microg/l and theoretical water retention times from 0.02 to 137 years). When modelled values were compared to empirical data, the slope was almost perfect (0.99) as well as the coefficient of determination (r2 = 0.96).     

Modelling treated waste disposal in Port Phillip Bay and Bass Strait biogeochemical and physical removal.

Large cities, such as Melbourne, generate substantial quantities of sewage, which, after treatment, must be disposed. Melbourne's sewage is disposed via two routes, that treated at the Western Treatment Plant (WTP) is discharged in enclosed Port Phillip Bay, while the Boags Rock outfall empties into the exposed Bass Strait. In Port Phillip Bay biogeochemical processes control the fate of waste, while in the Bass Strait physical mixing rapidly disperses the waste. These different processes require very different ecosystem models. Port Phillip Bay requires detailed modelling of water-column and in-sediment processes, in particular detailed models of recycling processes, and also modelling of benthos-water-column interactions. Interaction of these components gives the model a nonlinear response to change in load. The Bass Strait ecosystem model is simple with no modelling of the sediment and limited modelling of water-column recycling. This model's behaviour is largely controlled by the physical environment.     

基于BP神经网络的鄱阳湖水位模拟

考虑到鄱阳湖水位受流域五河与长江来水等多因素的共同作用而表现出高度非线性响应,采用典型的三层BPNN神经网络模型来模拟鄱阳湖水位与其主控因子之间的响应关系。分别将湖口、星子、都昌、棠荫和康山水位作为目标变量进行BPNN模型构建和适用性评估。结果显示：综合考虑流域五河及长江来水（汉口或九江）的BPNN水位模型,空间站点水位模拟精度（R2和Ens）可达090以上,各站点的均方根误差（RMSE）变化范围约050～10 m,若忽略长江来水的影响作用,仅将流域五河来水作为湖泊水位的主控影响因子,模型训练期与测试期的纳希效率系数（Ens）和确定性系数（R2）显著降低,且低于050,均方根误差（RMSE）也明显增大（124～288 m）,意味着综合考虑流域五河与长江来水是获取结构合理、精度保证的鄱阳湖水位模型的重要前提。同时建议针对鄱阳湖湖盆变化对水位的影响,尽可能选择一致性较好的长序列数据集来训练和测试BPNN模型。所构建的BPNN神经网络模型可进一步结合流域水文模型,用来预测气候变化与人类活动下流域径流变化对湖泊水位的潜在影响,也可作为一种有效的模型工具来回答当前鄱阳湖一些备受关注的热点问题,如定量区分流域五河与长江来水对湖泊洪枯水位的贡献分量,为湖泊洪涝灾害的防治和对策制定提供科学依据     

基于SCS-CN与MUSLE模型的三峡库区小流域侵蚀产沙模拟

传统土壤侵蚀模型模拟次降雨产沙时难以确定泥沙输移系数,分布式的侵蚀产沙模型对数据量需求量大。选择三峡库区宋家沟小流域为研究对象,基于2013年的降雨、植被盖度、地形、土壤等数据,利用SCS-CN和MUSLE模型耦合模拟流域的场降雨的产沙量。结果表明:该模型的模拟值的精确度在可接受范围内,整个流域2013年的泥沙流失量是3 923t,全年中5场较大的降雨贡献了泥沙流失量的80%以上;不同土地利用类型的泥沙输出量差异很大,耕地(面积44.63%)贡献了81.54%的泥沙,有林地(面积47.61%)贡献了17.63%的泥沙;坡度在0~8度的区域贡献的产沙量仅为1.75%,大于25度的区域占流域面积的比例是39.21%,产沙量占55.77%;泥沙模拟值相比实测值偏大,其原因可能是流域中分布的池塘改变了径流过程,发挥拦截泥沙功能。     

"Blind" testing of models for predicting the 90Sr activity concentration in river systems using post-Chernobyl monitoring data

Two different models for predicting the time-dependent mobility of (90)Sr in river systems have been evaluated using post-Chernobyl monitoring data for five large Belarusian rivers (Dnieper, Pripyat, Sozh, Besed and Iput) in the period between 1990 and 2004. The results of model predictions are shown to be in good agreement (within a factor of 5) with the measurements of (90)Sr activity concentration in river waters over a long period of time after the accident. This verifies the relatively good accuracy of the generalised input parameters of these models which were derived primarily from measurements of (90)Sr deposited after atmospheric nuclear weapons testing (NWT). For the cases studied here, the simpler AQUASCOPE model performed just as well as the more complex "Global" model which used GIS-based catchment data as an input. The reasons for this are discussed. Exponential decay equations were also curve-fitted to the data for each river to help assess the uncertainties in the predictive models.     

Catchment–coastal zone interaction based upon scenario and model analysis: Elbe and the German Bight case study

This paper presents a holistic strategy on the interaction of activities in the Elbe river basin and their effects on eutrophication in the coastal waters of the German Bight. This catchment–coastal zone interaction is the main target of the EUROCAT (EUROpean CATchments, catchment changes and their impact on the coast) research project, with the Elbe being one of eight case studies. The definition of socio-economic scenarios is linked with the application of models to evaluate measures in the catchment by estimation of nutrient emissions with MONERIS (MOdelling Nutrient Emissions in RIver Systems), and their effects on coastal waters with the ecosystem model ERSEM (European Regional Seas Ecosystem Model). The cost effectiveness of reduction measures will then be evaluated by application of the CENER model (Cost-Effective Nutrient Emission Reduction) and a multi-criteria analysis. Finally, the interpretation of ecological integrity is used as a measure to describe ecological impacts in an aggregated form.     

中国东南亚热带小流域混合农业区水文过程的实验研究(简报)

1ScopeIn the Sun Jia Catchment several gauging in-stallations are carefully put up to elucidate the hy-drology and the matter fluxes through the catch-ment.At present,it is already possible to quantifydistinct spatial differences in principal water flu-xes.The setup bears the potential to further deep-en the understanding of the small scale processesinvolved in lateral water fluxes and soil erosion.Multi-point monitoring of soil water potentials atvarious soil depths together with hydrograph…     

Modelling and experimental studies on the transfer of radionuclides to fruit

Although fruit is an important component of the diet, the extent to which it contributes to radiological exposure remains unclear, partially as a consequence of uncertainties in models and data used to assess transfer of radionuclides in the food chain. A Fruits Working Group operated as part of the IAEA BIOMASS (BIOsphere Modelling and ASSessment) programme from 1997 to 2000, with the aim of improving the robustness of the models that are used for radiological assessment. The Group completed a number of modelling and experimental activities including: (i) a review of experimental, field and modelling information on the transfer of radionuclides to fruit; (ii) discussion of recently completed or ongoing experimental studies; (iii) development of a database on the transfer of radionuclides to fruit; (iv) development of a conceptual model for fruit and (v) two model intercomparison studies and a model validation study. The Group achieved significant advances in understanding the processes involved in transfer of radionuclides to fruit. The work demonstrated that further experimental and modelling studies are required to ensure that the current generation of models can be applied to a wide range of scenarios.     

Linear and quadratic models of the southern Murray-Darling basin.

Linear programming (LP), a well-established technique for modelling agricultural and other systems, has been extensively used to model irrigation systems in Australia. The models constructed have been used to assess the effects of changing water charges on farm incomes, water use, and the effects of trade in water allocations. An LP model that reflects actual farm behaviour requires a large amount of data. Moreover, demand and supply functions estimated with LP models are necessarily stepped rather than smooth. Howitt has suggested a way of escaping from these problems of LP models. His positive programming approach replaces an LP model with a simpler quadratic programming model. In this paper, Howitt's approach is used to develop a quadratic programming model from an existing LP model of irrigated agriculture in the southern Murray-Darling basin of Australia. A comparison of the quadratic and linear models indicates that the quadratic programming model is smaller and simpler to specify and that it produces similar results to the linear model, in terms of cropping, trade, and demand for irrigation water. The choice of modelling technique depends on the problem and the available resources. Positive programming can be a valuable addition to the farm modellers' arsenal.     

一个新的分布式水文模型在鄱阳湖赣江流域的验证

考虑同类模型在模拟大尺度流域时存在的一些弱点,开发了基于单元网格,并且结构较为简单、参数数量较少的分布式水文模型WATLAC。为了验证该模型在大尺度流域长时间序列的模拟效果,选取鄱阳湖流域的最大子流域--赣江流域（817万km2）为验证区域。流域的空间非均匀性由单元网格离散并模拟。根据下垫面数据精度,选取4 km×4 km的离散网格尺寸,并应用ArcGIS等软件建立流域网格信息,生成模型输入数据。采用1960~1989年外洲站和峡江站的实测资料对模型进行了验证。率定期（1960~1969年）两水文站日、月和年径流确定性系数在081~093,Ens系数在079~099,年径流统计量相对误差均低于8%;校核期（1970~1989年）两水文站日、月和年径流确定性系数在076~092,Ens系数在075~091,年径流统计量相对误差均低于2%。结果显示,模拟的径流量与实测值吻合良好,模型在赣江流域得到了很好的验证。模型对赣江流域具有较强的适用性,在流域水资源管理中具有较好的应用前景。     

一个新的分布式水文模型在鄱阳湖赣江流域的验证

考虑同类模型在模拟大尺度流域时存在的一些弱点，开发了基于单元网格，并且结构较为简单、参数数量较少的分布式水文模型WATLAC。为了验证该模型在大尺度流域长时间序列的模拟效果，选取鄱阳湖流域的最大子流域——赣江流域（817万km2）为验证区域。流域的空间非均匀性由单元网格离散并模拟。根据下垫面数据精度，选取4 km×4 km的离散网格尺寸，并应用ArcGIS等软件建立流域网格信息，生成模型输入数据。采用1960~1989年外洲站和峡江站的实测资料对模型进行了验证。率定期（1960~1969年）两水文站日、月和年径流确定性系数在081~093，Ens系数在079~099，年径流统计量相对误差均低于8%；校核期（1970~1989年）两水文站日、月和年径流确定性系数在076~092，Ens系数在075~091，年径流统计量相对误差均低于2%。结果显示，模拟的径流量与实测值吻合良好，模型在赣江流域得到了很好的验证。模型对赣江流域具有较强的适用性，在流域水资源管理中具有较好的应用前景。     

Adsorption studies on coir pith for heavy metal removal

Biosorption efficiency of coir pith, a waste product from coir industry, was investigated in this study for the removal of metallic pollutants such as Ni, Cu and Zn from aqueous solutions. The disposal of coir pith is a major problem associated with the coir industries, especially working in the small-scale sector. The present study explores the effectiveness of utilization of coir pith, an accumulating waste, as a biosorbent for heavy metal removal. Batch mode studies were done to evaluate the efficiency of removal of metals under varying adsorption conditions of pH, metal concentration and contact time. Characterization studies of the biosorbent and SEM analysis were done. Kinetic modelling studies were tried using Lagergren pseudo-first-order and second-order models. Equilibrium studies were done using well-known Freundlich, Langmuir and D–R isotherm models. It was found that all isotherms are fitting well indicating the efficiency of coir pith as an adsorbent of heavy metals. The applicability of all the three isotherms to the sorption processes shows that both monolayer adsorption and heterogeneous energetic distribution of active sites on the surface of the adsorbent are possible. Due to the abundance and low cost of these materials, adsorption technologies developed can act as good sustainable options for the future in heavy metal removal from industrial effluents.     

Stakeholder engagement in social learning to resolve controversies over land-use change to plantation forestry

Rapid land-use change arising from incentives for afforestation has created tensions in rural communities previously dominated by agricultural enterprises. This paper reports on an innovative experiment with social learning that incorporated participatory modelling to resolve community concerns in a case study of plantation forestry in the Upper Clarence catchment of north-eastern NSW Australia. The development of a diagnostic framework helped identify socioeconomic and environmental issues within the community for investigation by a self-selected participatory advisory committee (PAC) representing a diversity of views. Implementation of a social learning exercise offered empathetic and intellectual engagement among PAC members that maintained interest, built confidence, and improved problem-solving capacity while fostering group ownership over decision making. A shared understanding of dynamic landscape problems helped empower participants to collaboratively develop solutions for improved management and operational practices, and cooperate to explore further options for plantation industry development under existing policy guidelines which are presented in this paper. As a result of frank discussions between diverse stakeholders in a mutually respectful learning environment that combined local, scientific and expert knowledge, concerns dissipated and participants developed a more favourable view of plantation forestry activity.     

Forecasting the consequences of accidental releases of radionuclides in the atmosphere from ensemble dispersion modelling.

The RTMOD system is presented as a tool for the intercomparison of long-range dispersion models as well as a system for support of decision making. RTMOD is an internet-based procedure that collects the results of more than 20 models used around the world to predict the transport and deposition of radioactive releases in the atmosphere. It allows the real-time acquisition of model results and their intercomparison. Taking advantage of the availability of several model results, the system can also be used as a tool to support decision making in case of emergency. The new concept of ensemble dispersion modelling is introduced which is the basis for the decision-making application of RTMOD. New statistical parameters are presented that allow gathering the results of several models to produce a single dispersion forecast. The devised parameters are presented and tested on the results of RTMOD exercises.     

The significance of agricultural vs. natural ecosystem pathways in temperate climates in assessments of long-term radiological impact

Recent developments in performance assessment biosphere models have begun to emphasise the importance of natural accumulation pathways. In contrast to the agricultural pathways, the database for natural ecosystem pathways is less well developed, leading to a mismatch in quality of representations of the two types of system. At issue is the lack of reliable soil-plant and animal ingestion transfer factors for key radionuclides in natural ecosystems. The relative importance of the agricultural vs. natural ecosystem pathways is investigated here, in the context of a temperate site in present day, Eastern France. The BIOMASS Candidate Critical Group (CCG) methodology has been applied to map a set of eight candidate critical groups derived from the present-day societal context onto physical locations within a simple model of a river catchment system. The overall assessment model has been implemented using the Aquabios code. Annual individual dose to each of the CCGs has been calculated for each of the key radionuclides (79Se, 94Nb, 99Tc, 129I, 135Cs and 237Np) released to the valley aquifer and river. In addition to the traditional agricultural pathways, lifestyle groups exploiting natural habitats are explicitly addressed. Results show the susceptibility of different candidate critical groups to different radionuclides. A reference database typical of those employed in long-term performance assessment models is employed. Doses from external exposure (94Nb) and dust inhalation (237Np) are shown to dominate agricultural food consumption by factors of more than six, but, with the reference data set, foodstuffs obtained from natural ecosystems do not contribute significantly to critical group dose and, at most, show similar exposures to the agricultural pathways. This may lead to the conclusion that natural food can be ruled out of consideration in performance assessment models. However, systematic parametric sensitivity studies carried out on soil-plant and animal ingestion transfer factors restrict the validity of this observation and demonstrate the limitations of existing databases. Remaining uncertainties can be reduced by improving structural models for performance assessment and by better characterisation of sources of locally obtained foods. Improved characterisation of radionuclide accumulation in natural ecosystems in temperate as well as alternative future climate states should complement the modelling approach.     

Integrated models for environmental management: Issues of process and design

Integration has become an important element of natural resource management over recent decades, and managers are now required to consider the social, economic, ecological, and bio-physical effects of alternative management interventions. The problem of managing across many issues is sometimes tackled by putting together a number of individual models. For this approach to work effectively, attention must be paid to both the technical details of the interactions between system components and also to the processes through which these integrated models are developed. This paper explores technical and social aspects of the development of integrated models for environmental management, and discusses two cases within which open modelling and interface prototyping processes were undertaken. The results of this exploration suggest that, for models to be used and accepted widely in integrated environmental management, developers must undertake a process that involves stakeholders and potential users, that exploits the current knowledge, and that illustrates the influence of uncertainty in the technical knowledge. This requires strict attention to the social and technical process of modelling, as well as additional skills in group facilitation and shared vision exploration, so that user expectations can be developed and met in such a way that the best information available is used by decision makers.