实施排污许可证制度的经济手段──环境补偿在太原市的实行

具备了实行环境补偿的法律依据和技术支持体系之后,在搞了三个大气环境补偿试点实践的基础上,结合太原市实施排放大气污染物许可证制度试点工作的需要,又进行了一段时间和一定范围的大气环境补偿试点工作,证明了大气环境补偿是实施大气排污许可证制度的一项有效的经济手段。      

Approaching the upper boundary of driver-response relationships: identifying factors using a novel framework integrating quantile regression with interpretable machine learning

● A novel framework integrating quantile regression with machine learning is proposed. ● It aims to identify factors driving observations to upper boundary of relationship. ● Increasing N:P and TN concentration help fulfill the effect of TP on CHL. ● Wetter and warmer decrease potential and increase eutrophication control difficulty. ● The framework advances applications of quantile regression and machine learning. The identification of factors that may be forcing ecological observations to approach the upper boundary provides insight into potential mechanisms affecting driver-response relationships, and can help inform ecosystem management, but has rarely been explored. In this study, we propose a novel framework integrating quantile regression with interpretable machine learning. In the first stage of the framework, we estimate the upper boundary of a driver-response relationship using quantile regression. Next, we calculate “potentials” of the response variable depending on the driver, which are defined as vertical distances from the estimated upper boundary of the relationship to observations in the driver-response variable scatter plot. Finally, we identify key factors impacting the potential using a machine learning model. We illustrate the necessary steps to implement the framework using the total phosphorus (TP)-Chlorophyll a (CHL) relationship in lakes across the continental US. We found that the nitrogen to phosphorus ratio (N׃P), annual average precipitation, total nitrogen (TN), and summer average air temperature were key factors impacting the potential of CHL depending on TP. We further revealed important implications of our findings for lake eutrophication management. The important role of N׃P and TN on the potential highlights the co-limitation of phosphorus and nitrogen and indicates the need for dual nutrient criteria. Future wetter and/or warmer climate scenarios can decrease the potential which may reduce the efficacy of lake eutrophication management. The novel framework advances the application of quantile regression to identify factors driving observations to approach the upper boundary of driver-response relationships.     

A mathematical approach for retrofit and optimization of total site steam distribution networks

This paper presents a generic mathematical model for retrofitting the steam power plants in an industrial site. The industrial sector under review consists of one steel mill, one oil refinery, and several petrochemical plants, where only small-scale steam integration has been implemented before this study. The relevant unit models in a typical steam power plant are established, and the steam plant retrofit problem is formulated as a mixed-integer nonlinear program (MINLP). Feasible retrofit alternatives suggested by experienced field engineers are investigated in sequence to examine the revenue of those possible modifications. The first scenario examines operational optimization of existent plants; the second option allows installation of one new turbine and replacement of several boilers and turbines with lower efficiency; the third scenario considers using a steam ejector to upgrade the disqualified import steam in the oil refinery. The significant merits from these three retrofit alternatives show that the proposed MINLP formulation has been a great help to enhance the inter-plant steam integration in an industrial sector.     

Enhancing generic ecological model for short-term prediction of Southern North Sea algal dynamics with remote sensing images

Physically based numerical modelling follows from the basic understanding of the underlying mechanisms and is often represented by a set of (partial differential) equations. It is one of the main approaches in population dynamics modelling. The emphasis of the model introduced in this paper is on the simulation of short-term spatial and temporal dynamics of harmful algal bloom (HAB) events. Total suspended matter (TSM) concentration is one of the dominant factors for harmful algal bloom (HAB) prediction in North Sea. However, the modelling of suspended matter contains a high degree of uncertainty in this area. Therefore, this research aims to achieve a better estimation for the short-term prediction of harmful algal bloom development in both space and time by using spatially distributed TSM retrieved from remotely sensed images as physically based model inputs. In order to supply complete spatially covered datasets for the physically based model instrument: generic ecological model (GEM), this research retrieves TSM information from MERIS images by means of proper estimation techniques including biharmonic splines and self-learning cellular automata. A better estimation of HAB spatial pattern development is achieved by adding spatially distributed TSM data as inputs to original GEM model, and it proved that chlorophyll-a concentration in this area is very sensitive to TSM concentration.     

总磷排放标准的讨论

总磷是评价水质的重要指标,磷以多种形式存在,随着污水排放标准的不断更新．总磷标准的尺度不相一致。根据国家相关标准和规范,给出了能让已有标准内在联系更加完整和协调的建议．期待环境行政管理部门对废水中总磷排放标准作出更加明确合理的相关规定．     

总量控制目标分解计算有关问题的探讨

对总量控制目标分析计算的有关问题进行了讨论，如预留发展量，预留改善量的概念及规划方法，点源总量控制指标的分析计算方法等。分解计算分“一步到位法”和“两步到位法 ”两种方式，诸地有所区别。     

沈阳市浑南新区二氧化硫总量控制研究

为了实现浑南新区的规划目标,必须对新区SO2 进行总量控制。本文利用A—P值法对浑南新区SO2 的总量控制进行研究,给出了整个新区SO2 的总量控制目标及规划中的各个高架点源污染源的总量控制目标,为新区总量控制的实施提供了决策依据。     

常见沉水植物对草海水体(含底泥)总氮去除速率的研究

利用狐尾藻?菹草?苦草?伊乐藻?金鱼藻?篦齿眼子菜?轮藻等7种沉水植物对受污染的草海水体(含底泥)总氮去除速率进行了试验研究?结果表明:每种沉水植物对水体总氮?总磷均有显著去除作用,在试验的27d内,对总氮?总磷的去除百分率分别为80.31%,89.82%;重点对7种沉水植物引起水体总氮浓度下降与时间的关系作回归分析,所得结果是随着时间的延长,水体中总氮浓度呈负指数形式衰减?该文还研究了水体总氮浓度与去除速率之间的关系?每种沉水植物在试验的总氮浓度范围内(2.628～16.667mg/L)去除速率随总氮浓度的增加而增加?对TN_{_t}曲线和V-TN曲线在大型水生植物系统恢复中的应用进行了讨论?      

上海市大气细菌污染研究

采用平皿沉降法对上海市６个采用点的大气细菌，进行了为期一年的监测，并进行了菌株鉴定和影响因素的研究分析，结果表明，上海市全年大气细菌数量变化曲线呈双峰型；空气中优势菌群为：微球菌属，葡萄球菌属，奈瑟氏菌属，干燥棒状杆菌属和芽孢杆菌属等。     

太滆运河总氮污染物排放限值研究

以太滆运河为研究对象,根据总氮污染物入河特点,对入河支浜进行概化,采用一维河流水质模型,将运河分为5段计算总氮污染物的排放限值。结果表明:太滆运河计算段的总氮污染物排放限值为10.4t/a,而目前排入太滆运河计算段的总氮约为40t/a。建议对太滆运河两岸总氮污染物实行严格的减排措施以提高入湖河流的水质,确保太湖水环境质量。