我国水资源学术交流十年总结与展望

水资源是基础性的自然资源和战略性的经济资源,是一个国家综合国力的有机组成部分。目前,国家已将水资源列为与粮食、石油资源并列的三大战略资源之一。随着经济社会快速发展,水资源供需矛盾越来越突出,水资源已成为制约国民经济发展的重大"瓶颈"。因此,水资源研究已成为支撑我国可持续发展的重要学科领域。论文在大量文献分析的基础上,阐述了水资源研究发展过程;介绍了近十年来中国自然资源学会水资源专业委员会主办的主要学术交流情况,总结了近期我国水资源研究进展;在以上分析的基础上,对水资源学科发展趋势进行了分析,并对近期水资源研究进行展望,提出未来十年我国水资源学术交流发展方向。     

Prioritization of applicable drivers for green supply chain management implementation toward sustainability in Thailand

ABSTRACT

It is essential that the green supply chain management (GSCM) implementation is effectively supported by several strategic drivers for successful implementation and sustainability, especially for the ‘green’ start-ups with a sustainability-driven organizational strategy. This study aims to determine and prioritize the applicable drivers for GSCM implementation of sustainable development strategies in the electronics industry in Thailand. The applicable drivers and their priorities are obtained by applying the fuzzy group decision-making approaches including fuzzy Delphi and fuzzy Analytic Hierarchy Process, based on Thai experts’ perspectives. In this study, three prominent organizational theories, resource-based view, relational view, and institutional theory, are needed to explain the drivers of sustainability and to develop a hierarchical model for prioritization of the drivers. Finally, based on the findings of this study, several recommendations are made that may help to improve the sustainable development in Thailand through more effective implementation of GSCM.     

Characterizing vulnerability to water scarcity: The case of a groundwater-dependent,rapidly urbanizing region

Groundwater overdraft is a resource management issue that poses a threat for the security of communities. Impacts of groundwater overdraft are influenced by the biophysical and social contexts of water management. This paper presents a method for assessing vulnerability to water scarcity in spatial terms using biophysical and social indicators. A geographic information system was used to establish areas of vulnerability based upon hydrologic variability in water resource availability within a groundwater basin, three types of water management systems, and 10 sociodemographic characteristics. Our study area is in the rapidly urbanizing Arizona Central Highlands, located ~150km north of the Phoenix metropolitan region, USA. Results indicate that the most biophysically vulnerable places do not necessarily intersect with the most vulnerable populations and that local differences in vulnerability are interrelated, rather than independent, outcomes in a process of socioenvironmental transformation. Vulnerability is influenced by laws that deny access to local surface waters and lead to dependence on fossil groundwater, and by economic reliance on urbanization. Localities attempt to reduce vulnerability through the development of community water systems and the expansion of water frontiers. While such strategies may reduce local vulnerability, they are not sustainable solutions because they transfer risks to other places, and thus contribute to vulnerability elsewhere.     

再生水补给城市河湖水生态系统构建及管护技术体系研究应用—以圆明园为例

提出了"再生水水源补给城市河湖水生态系统构建及管护技术体系",并在圆明园开展了推广应用,设计建设了近70 hm2再生水水源补给城市河湖水生态系统构建及管护示范区.结果表明,该技术可有效改善水体景观、水质及水生态状况:浊度明显降低,示范区浊度大多小于3NTU(饮用水浊度国家标准1NTU),感官效果明显优于修复前;总磷平均...     

长山河水质评价及变化趋势分析

以2015 ～2019年长山河4个水质监测站的监测数据为基础,采用综合水质标识指数法对其历年水质进行评价,利用季节性kendall检验法对各监测断面的高锰酸盐指数,氨氮,总磷等3个监测指标变化趋势进行分析.结果 表明:长山河各断面的综合水质均达到或优于水功能区目标要求,水质污染总体呈下降趋势,其中长山河大桥和长山闸一号...     

国际标准产业分类体系的供水、污水处理、废物管理和补救活动的分类演化及启示

国际标准产业分类体系是目前国际上最有影响、最有权威的产业分类体系。深入了解国际标准产业分类体系中供水、污水处理、废物管理和补救活动分类演化,对正确收集、处理和测算供水、污水处理、废物管理和补救活动的指标以及国际间数据比较至关重要。论文首先详细地剖析了国际标准产业分类体系的供水、污水处理、废物管理和补救活动的分类演化,然后依据国际标准产业分类体系的最新变化,结合我国供水、污水处理、废物管理和补救活动现状,为我国国民经济行业分类中供水、污水处理、废物管理和补救活动的修改和调整提供改进建议。     

Emergy analysis applied to the estimation of the recovery of costs for water services under the European Water Framework Directive

In this paper, the European Union's Water Framework Directive 2000/60/EC (WFD) that is intended to foster protection of water resources is examined, focusing on the improvement of ecological and chemical quality of surface and groundwater. The WFD includes the concept of full cost recovery (FCR) in accordance with the Polluter-Pays Principle, as one of the tools of an adequate and sustainable water resource management system. The WFD defines three different costs associated with water: resource costs (RC), financial costs (FC), and environmental costs (ECs).The FCR of water is examined from a biophysical perspective using emergy evaluation to: (1) establish resource values of water from different sources, (2) establish the full economic costs associated with supplying water, and (3) the societal costs of water that is used incorrectly; from which the resource costs, financial costs, and environmental costs, respectively, can be computed. Financial costs are the costs associated with providing water including energy, materials, labor and infrastructure. The emergy based monetary values vary between 0.15 and 1.73 €/m³ depending on technology. The emergy based, global average resource value (from which resource costs can be computed) is derived from two aspects of water: its chemical potential and its geopotential. The chemical potential monetary value of different sources such as rain, groundwater, and surface water derived from global averages of emergy inputs varies from 0.03 to 0.18 €/m³, depending on source, and the geopotential values vary from 0.03 to 2.40 €/m³, depending on location in the watershed. The environmental costs of water were averaged for the county of Spain and were 1.42 €/m³.Time of year and spatial location within the watershed ultimately influence the resource costs (computed from emergy value of chemical potential and geopotential energy) of water. To demonstrate this spatial and temporal variability, a case study is presented using the Foix watershed in northeastern Spain. Throughout the year, the resource value of water varies from 0.21 to 3.17 €/m³, depending on location within the watershed. It is concluded that FCR would benefit from the evaluation of resource costs using spatially and temporally explicit emergy accounting.     

An Integrated Monte Carlo Methodology for the calibration of water quality models

This paper proposes an Integrated Monte Carlo Methodology (IMCM) to solve the parameter estimation problem in water quality models. The methodology is based on Bayesian approach and Markov Chain Monte Carlo techniques and it operates by means of four modules: Markov Chain Monte Carlo (MCMC), Moving Feasible Ranges (MFR), Statistical Analysis of the Joint Posterior Distribution (SAD) and Uncertainty Propagation Analysis (UPA). The main innovation of the new proposal lies in the combination of MCMC and MFR modules which provides the joint posterior distribution of the calibrated parameters following the classical Bayesian approach. While MCMC module, based on Shuffled Complex Evolution Metropolis (SCEM-UA) algorithm, is specially designed to sample complex joint posterior shapes within certain parameter ranges, the MFR readjusts these ranges until the coverage of the feasible parameter space is guaranteed. Once the joint posterior distribution is properly defined, the SAD provides the parameter statistics and the UPA performs an analysis of the uncertainty propagation through the model. The possibilities of the new proposal have been tested on the basis of a simple model featuring different activated sludge batch experiments. IMCM has been implemented in Matlab and it is prepared to be easily connected to any software package.     

Biogeochemical model (BGC-ES) and its basin-level application for evaluating ecosystem services under forest management practices

It is important for humans to live in harmony with ecosystems. Evaluation of ecosystem services (ES) may be helpful in achieving this objective. In Japan, forest ecosystems need to be re-evaluated to prevent their degradation due to lack of forest management.In order to evaluate the effects of forest management on forest ES, we developed a process-based biogeochemical model to estimate water, carbon, and nitrogen cycles in forest ecosystems (BGC-ES). This model consists of four submodels: biomass, water cycle, carbon-nitrogen (CN) cycles, and forest management. The biomass submodel can calculate growth of forest biomass under forest managements.Several parameters of the model were calibrated using data from observations of evapotranspiration flux and quality of stream flow in forests. The model results were compared with observations of runoff water from a dam catchment site and with carbon flux observations.Our model was coupled with a basin-level GIS database of forests. Evaluations under various forest management scenarios were carried out for forests in a basin contained in the Ise Bay basin (Chubu region, Japan), where plantations (artificial forests) seemed to have degraded from poor forest management.Comparing our simulation results with those of forests without management in the basin, we found that the amounts of absorbed carbon and runoff were larger in managed forests. In addition, the volume of harvested timber was larger and its quality (diameter) was better in managed forests. Changes of ES within the various scenarios were estimated for their economic value and were compared with the cost of forest management.     

Integration of a fish bioenergetics model into a spatially explicit water quality model: Application to menhaden in Chesapeake Bay

Although fish are usually thought of as victims of water quality degradation, it has been proposed that some planktivorous species may improve water quality through consumption of algae and sequestering of nutrients via growth. Within most numerical water quality models, the highest trophic level modeled explicitly is zooplankton, prohibiting an investigation of the effect a fish species may be having on its environment. Conversely, numerical models of fish consumption do not typically include feedback mechanisms to capture the effects of fish on primary production and nutrient recycling. In the present study, a fish bioenergetics model is incorporated into CE-QUAL-ICM, a spatially explicit eutrophication model. In addition to fish consumption of algae, zooplankton, and detritus, fish biomass accumulation and nutrient recycling to the water column are explicitly accounted for. These developments advance prior modeling efforts of the impact of fish on water quality, many of which are based on integrated estimates over an entire system and which omit the feedback the fish have through nutrient recycling and excretion. To validate the developments, a pilot application was undertaken for Atlantic menhaden (Brevoortia tyrannus) in Chesapeake Bay. The model indicates menhaden may reduce the algal biomass while simultaneously increasing primary productivity.