NUTRIENT CONCENTRATION CRITERIA AND CHARACTERIZATION OF PATTERNS IN TROPHIC STATE FOR RIVERS IN HETEROGENEOUS LANDSCAPES1

ABSTRACT: A method is demonstrated for the development of nutrient concentration criteria and large scale assessment of trophic state in environmentally heterogeneous landscapes. The method uses the River Environment Classification (REC) as a spatial framework to partition rivers according to differences in processes that control the accrual and loss of algae biomass. The method is then applied to gravel bed rivers with natural flow regimes that drain hilly watersheds in New Zealand's South Island. An existing model is used to characterize trophic state (in terms of chlorophyll a as a measure of maximum biomass) using nutrient concentration, which controls the rate of biomass accrual, and flood frequency, which controls biomass loss. Variation in flood frequency was partitioned into three classes, and flow data measured at 68 sites was used to show that the classes differ with respect to flood frequency. Variation in nutrient concentration was partitioned at smaller spatial scales by subdivision of higher level classes into seven classes. The median of flood frequency in each of the three higher level classes was used as a control variable in the model to provide spatially explicit nutrient concentration criteria by setting maximum chlorophyll a to reflect a desired trophic state. The median of mean monthly soluble reactive phosphorus and soluble inorganic nitrogen measured at 68 water quality monitoring sites were then used to characterize the trophic state of each of the seven lower level classes. The method models biomass and therefore allows variation in this response variable to provide options for trophic state and the associated nutrient concentrations to achieve these. Thus it is less deterministic than using reference site water quality. The choice from among these options is a sociopolitical decision, which reflects the management objectives rather than purely technical considerations.     

Quantifying and Evaluating Ecosystem Health: A Case Study from Moreton Bay, Australia

As part of the program monitoring the ecosystem health of Moreton Bay, Queensland, Australia, we developed a means for assessing ecosystem health that allows quantitative evaluation and spatial representations of the assessments. The management objectives for achieving ecosystem health were grouped into ecosystem objectives, water quality objectives, and human health objectives. For the first two groups, aspects of the ecosystem (e.g., trophic status) were identified, and an indicator was chosen for each aspect. Reference values for each indicator were derived from management objectives and compared with the mapped survey values. Subregions for which the indicator statistic was equal to or better than the assigned reference value are referred to as “compliant zones.” High-resolution surface maps were created from spatial predictions on a fine hexagonal grid for each of the indicators. Eight reporting subregions were established based on the depth and predicted residence times of the water. Within each reporting subregion, the proportion that was compliant was calculated. These results then were averaged to create an integrated ecosystem health index. The ratings by a team of ecosystem experts and the calculated ecosystem health indices had good correspondence, providing assurance that the approach was internally consistent, and that the management objectives covered the relevant biologic issues for the region. This method of calculating and mapping ecosystem health, relating it directly to management objectives, may have widespread applicability for ecosystem assessment.     

A multi-objective optimisation approach to water management

The management of river basins is complex especially when decisions about environmental flows are considered in addition to those concerning urban and agricultural water demand. The solution to these complex decision problems requires the use of mathematical techniques that are formulated to take into account conflicting objectives. Many optimization models exist for water management systems but there is a knowledge gap in linking bio-economic objectives with the optimum use of all water resources under conflicting demands. The efficient operation and management of a network of nodes comprising storages, canals, river reaches and irrigation districts under environmental flow constraints is challenging. Minimization of risks associated with agricultural production requires accounting for uncertainty involved with climate, environmental policy and markets. Markets and economic criteria determine what crops farmers would like to grow with subsequent effect on water resources and the environment. Due to conflicts between multiple goal requirements and the competing water demands of different sectors, a multi-criteria decision-making (MCDM) framework was developed to analyze production targets under physical, biological, economic and environmental constraints. This approach is described by analyzing the conflicts that may arise between profitability, variable costs of production and pumping of groundwater for a hypothetical irrigation area.     

自然资源资产审计制度的供给侧改革

自然资源是可持续发展的基础。完善自然资源资产审计制度,是保护自然资源、践行生态文明的要求。自然资源资产审计的前提是自然资源的确权和量化,是自然资源与自然资源资产在审计上的“融合”。作为自然资源资产审计的依据,相关制度应该对自然资源的确权、计量和有效利用作出合理安排,才能有效抑制资源滥用冲动。但立足于自然资源资产审计实践,综合运用文献研究、个案调查、跨学科研究等方法,分析现行的自然资源制度,没有发现可操作性的自然资源产权制度、计量制度和评价制度,已有制度存在权责不匹配、责任界定不清晰、公众参与有困难、审计指标不健全;制度系统呈现存量不足、增量困难、实践不力,不能适应新时代要求和自然资源合理利用需要。因此,可以从制度存量、增量和协同三条路径实施制度供给侧改革;在完善制度存量方面,可以在经济责任审计规定中嵌入自然资源资产审计内容,完善自然资源资产评价标准、责任制度和审计结果运用办法等;在提高制度增量方面,完善自然资源资产的权利制度、计量制度、信息公开制度和公众参与制度等;同时,通过适时修订审计法、制定自然资源资产法,强化制度协调,以突破自然资源资产的制度瓶颈,方便审计算好“生态账”、把好“生态关”。在自然资源资产制度改革过程中,需要借助决策层和专家力量,摆脱部门立法局限,强化制度协调;同时,制度改革也是一个不断优化的过程,要兼顾公众、个人、政府及其职能部门等多方利益,才能有效满足资源节约型和环境友好型社会的需要。     

Water saving effect on integrated water resource management

This study proposes an improved integrated water resource management (IWRM), in which water conservation was analyzed for the entire water use process. A multi-objective optimization method was applied to optimize the IWRM, which investigated the reduction of freshwater consumption and the total water supply cost. Customer's preference for saving water and an end use analysis (EUA) was applied in the water conservation analysis. Taking Tianjin as the study area, a reduction in customer's economic pressure (EP) was utilized to evaluate the degree of the customer's preference for saving water. The results revealed that agriculture had a greater preference for saving water than other sectors, where as the public had the weakest motivation for saving water. Improving the transportation method could contribute 62.1% of the total water savings in the agriculture sector. The optimization of the IWRM demonstrated that the local freshwater savings would be 21.5%, and the total cost for water supplies would decrease by 13%. However, a government subsidy of 87.5 million Yuan would be needed. Additionally, by analyzing the change in the amount of water savings affected by water price, the appropriate water price increase range was suggested to be 1.5–1.7 times the original price.     

Fine‐resolution conservation planning with limited climate‐change information

Climate‐change induced uncertainties in future spatial patterns of conservation‐related outcomes make it difficult to implement standard conservation‐planning paradigms. A recent study translates Markowitz's risk‐diversification strategy from finance to conservation settings, enabling conservation agents to use this diversification strategy for allocating conservation and restoration investments across space to minimize the risk associated with such uncertainty. However, this method is information intensive and requires a large number of forecasts of ecological outcomes associated with possible climate‐change scenarios for carrying out fine‐resolution conservation planning. We developed a technique for iterative, spatial portfolio analysis that can be used to allocate scarce conservation resources across a desired level of subregions in a planning landscape in the absence of a sufficient number of ecological forecasts. We applied our technique to the Prairie Pothole Region in central North America. A lack of sufficient future climate information prevented attainment of the most efficient risk‐return conservation outcomes in the Prairie Pothole Region. The difference in expected conservation returns between conservation planning with limited climate‐change information and full climate‐change information was as large as 30% for the Prairie Pothole Region even when the most efficient iterative approach was used. However, our iterative approach allowed finer resolution portfolio allocation with limited climate‐change forecasts such that the best possible risk‐return combinations were obtained. With our most efficient iterative approach, the expected loss in conservation outcomes owing to limited climate‐change information could be reduced by 17% relative to other iterative approaches.     

Can we take the pulse of environmental governance the way we take the pulse of nature? Applying the Freshwater Health Index in Latin America

Quantitative assessments have long been used to evaluate the condition of the natural environment, providing information for standard setting, adaptive management, and monitoring. Similar approaches have been developed to measure environmental governance, however, the end result (e.g., numeric indicators) belies the subjective and normative judgments that are involved in evaluating governance. We demonstrate a framework that makes this information transparent, through an application of the Freshwater Health Index in three different river basins in Latin America. Water Governance is measured on a 0–100 scale, using data derived from perception-based surveys administered to stakeholders. Results suggest that water governance is a primary area of concern in all three places, with low overall scores (Guandu-26, Alto Mayo-38, Bogotá-43). We conclude that this approach to measuring governance at the river basin scale provides valuable information to support monitoring and decision making, and we offer suggestions on how it can be improved.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01407-8) contains supplementary material, which is available to authorized users.     

煤制烯烃废水处理与回用技术解析

针对煤制烯烃项目废水的来源及水质特点,从生化处理技术与回用处理技术方面阐述了煤制烯烃废水处理现状及存在问题,展望了煤制烯烃废水处理与回用技术未来发展方向,指出了新型脱氮工艺、膜集成工艺及分质结晶技术在煤制烯烃废水处理中的可行性,为煤化工废水处理与资源化利用提供理论参考。     

中国经济发展产生的能源和环境效应研究

为揭示中国经济持续增长对能源依靠程度、能源利用效率提高程度及环境污染改善水平,统计了2006年-2014年GDP、工业增加值、能耗、SO2和NOx排放量数据,计算得到单位能耗GDP和单位能耗污染物排放量,对比分析单位能耗GDP和单位能耗污染物排放量,前者持续增长,后者呈波动时下降,表明能源利用效率逐步提高,污染物排放得到有效控制.主要城市NOx和PM10浓度出现升高趋势,SO2浓度明显下降.NOx和PM10成为中国未来大气主要污染物,应采取措施控制,同时应注重对非工业源的控制.     

海河流域水生态功能一级二级分区

水生态功能分区是实现流域水环境"分区、分级、分期和分类"管理的基础.通过分析海河流域的陆地和水生态系统特点,确定了一级二级分区的指标体系,一级分区指标包括地貌类型、径流深、年降水量、年蒸发量,反映水资源供给功能的空间格局特征,共划分了6个一级水生态功能区;二级分区利用植被类型和土壤类型的空间异质性,反映流域生态水文过程及水质净化功能的空间格局特征,共划分了16个二级水生态功能区.最后,通过野外调查各个分区的水生态系统结构和生境差异性(水量、水质、河流生境、水生动植物等),对一级和二级分区结果进行了评价.分区结果能够为海河流域的水质目标管理和区域生态环境建设提供支持,分区方法和指标体系也可以为国内其它类似流域的水生态功能分区提供参考.