深圳湾流域面源与截排溢流污染特征及其对水环境的影响

随着点源污染逐步得到有效控制,面源与截排溢流污染对水环境的胁迫日益突出。基于土地遥感数据、城市排水管网等资料,构建流域—海湾一体化水环境模型,探讨深圳湾流域面源与截排溢流污染特征及其对水环境的影响,研究表明:(1)雨季COD、NH3-N和TP单位面积面源与截排溢流污染负荷分别为17.21 t/km2与10.21 t/km2、0.17 t/km2与0.69 t/km2、0.04 t/km2与0.07 t/km2;(2)面源与截排溢流污染时间上主要集中于大雨及以上等级降水较多的5月和8月,空间上主要分布在截排工程集中、下垫面面积较大且坡度较陡的深圳河、大沙河和新洲河流域;(3)面源与截排溢流水体COD、NH3-N和TP浓度可达地表水V类标准的3.7倍、18.2倍和8.5倍;(4)雨季COD、NH3-N和TP浓度高于旱季的区域分别超过深圳湾总面积的40%、60%和65%。     

农业经营规模化发展对环境效率的影响——基于地块层面的实证分析

为探析农业规模化经营与农业环境可持续性之间的关系,对农业经营规模对农业环境效率的影响进行理论分析,并在此基础上构建了物料平衡原则下农业环境效率测算模型和农业环境效率影响模型.基于2004~2016年浙江省农户水稻种植地块层面的面板数据,实证检验了土地面积、劳动投入、资本投入和农业产出等农业经营规模指标对农业环境效率的影响.结果显示,农业规模化发展将因投入和产出的扩张以多种方式影响其环境效率,其中土地面积规模与农业环境效率之间呈倒U型关系,劳动投入和资本投入对农业生产环境效率均有负向的影响,而农业产出规模的增加将促进农业环境效率的提升.     

华北地区沙尘天气垂直气溶胶直接辐射强迫

利用CALIOP数据和SBDART（Santa Barbara DISORT Atmospheric Radiative Transfer）辐射传输模式研究了2013~2016年华北地区8d沙尘天气气溶胶及其直接辐射强迫垂直分布特征,分析了气溶胶垂直分布和光学特性对直接辐射强迫的影响.结果表明,气溶胶集中分布在地表及以上3km范围,其中纯净沙尘型和污染沙尘型气溶胶位于上层,污染大陆型气溶胶和烟雾位于下层.大气层顶、地表和大气层的日均气溶胶直接辐射强迫分别是-38.41~-88.44,-74.03~-225.86,9.06~137.42W/m².0~8km高度范围气溶胶直接辐射强迫是负值,且随着高度的增加绝对值逐渐减小.气溶胶垂直分布对大气层顶、地表和大气层的直接辐射强迫影响较小,但对直接辐射强迫垂直分布影响较大,由气溶胶廓线差异造成的同一高度层气溶胶直接辐射强迫最大差值能达到31.18W/m².气溶胶光学厚度和单次散射反照率对直接辐射强迫影响明显.消光能力相同时,吸收性气溶胶对短波太阳光的衰减作用大于散射性气溶胶,后向散射比例大的气溶胶大于后向散射比例小的气溶胶.     

我国能源资源税改革对城乡居民的收入分配效应——基于CGE模型的分析

通过构建包含7个城镇居民组和5个农村居民组的多收入阶层CGE模型,并将劳动力要素分为农业劳动力、技术工人和生产工人3类,在低税率、实际税率和高税率三种情景下模拟了煤炭、石油和天然气资源税改革单独实施和同时实施对城镇和农村居民的收入分配效应,并对税收补偿措施的效果进行分析.结果表明：单独实施煤炭资源税或天然气资源税改革对城镇居民组收入差距有正向的缩小作用,有利于收入分配公平,但对农村居民组收入差距起到负向的扩大作用,不利于收入分配公平;单独实施石油资源税改革则同时缩小了城镇和居民组的收入差距,有利于收入分配公平;同时实施三类能源资源税改革的收入分配效应与税率组合方式有关;将能源资源税收入以补贴的方式返还给农村居民可以缩小其收入差距,有利于收入分配公平.     

pH值对亚硝酸盐氧化菌动力学及功能基因的影响

为探究pH值对亚硝酸盐氧化菌（NOB）活性动力学影响,本试验采用序批式活性污泥（SBR）反应器,以富含NOB的活性污泥为对象,基于Monod模型考察不同pH值对NOB活性动力学的影响并进行统计学分析.结果表明,Monod方程可较好地反映不同pH值条件下基质底物浓度对NOB比亚硝态氮氧化速率（SNiOR）的影响,且pH=7.0时动力学参数Ks为（6.167mg/L）,r_max为[1.134g/（g·d）],此时NOB活性最好.利用钟形经验模型进行非线性回归拟合,最大比降解速率（r_max）随pH值的增大呈钟形变化,本试验NOB的最佳pH值为（6.9±0.1）,其中r_max维持在r_opt一半以上的pH值范围（ω）为（3.26±0.4）.以亚硝酸盐氧化还原酶类基因（nxrA、nxrB）为引物,基于荧光定量PCR技术分析结果显示,在不同pH值条件下nxrA基因和nxrB基因拷贝数的变化趋势均与动力学参数（Ks、r_max）的规律一致,且nxrA和nxrB基因在系统的降解过程中起协同作用.     

铁锰复合氧化物滤料去除地下水中四环素的效能

以化学挂膜成熟运行5a的铁锰复合氧化物滤料为研究对象,利用静态与连续流柱实验相结合的方式,探究了该滤料去除四环素的效果与机理.结果表明,去除过程符合准二级反应动力学模型;且滤料质量越大,初始浓度越高,对四环素去除的效果越好;当水中共存阳离子浓度为0.01mol/L时,Mg²⁺抑制四环素的去除,而Ca²⁺、K⁺对四环素的去除过程无显著影响.连续流柱实验与发光细菌毒性检测分析,表明,铁锰氧化物滤料对四环素去除效果显著高于石英砂,且铁锰复合氧化物滤料去除四环素后急性毒性降低.此外,机理探究实验结果证实了铁锰复合氧化物滤料去除四环素是吸附与氧化的过程.     

层次分析模型在室内空气质量评价中的应用研究

当前评价方法没有考虑室内空气质量界线的模糊性,不能真实反映室内空气品质,导致评价结果不准确.提出基于层次分析模型的室内空气质量评价方法,建立室内空气质量评价目标层、准则层和措施层三层递阶的层次结构模型,构造判断矩阵,计算特征向量,得到各自的层次总排序结果,结合室内空气质量评价各指标权重,计算空气各污染物的隶属函数,求导室内空气质量最终评价值.实验结果表明,所提方法获得的室内空气质量评价值与实际调查监测值一致,能够真实反映室内空气质量状况,具有较高的可靠性.     

Modeling compensated root water and nutrient uptake

Plant root water and nutrient uptake is one of the most important processes in subsurface unsaturated flow and transport modeling, as root uptake controls actual plant evapotranspiration, water recharge and nutrient leaching to the groundwater, and exerts a major influence on predictions of global climate models. In general, unsaturated models describe root uptake relatively simple. For example, root water uptake is mostly uncompensated and nutrient uptake is simulated assuming that all uptake is passive, through the water uptake pathway only. We present a new compensated root water and nutrient uptake model, implemented in HYDRUS. The so-called root adaptability factor represents a threshold value above which reduced root water or nutrient uptake in water- or nutrient-stressed parts of the root zone is fully compensated for by increased uptake in other soil regions that are less stressed. Using a critical value of the water stress index, water uptake compensation is proportional to the water stress response function. Total root nutrient uptake is determined from the total of active and passive nutrient uptake. The partitioning between passive and active uptake is controlled by the a priori defined concentration value c_max. Passive nutrient uptake is simulated by multiplying root water uptake with the dissolved nutrient concentration, for soil solution concentration values below c_max. Passive nutrient uptake is thus zero when c_max is equal to zero. As the active nutrient uptake is obtained from the difference between plant nutrient demand and passive nutrient uptake (using Michaelis–Menten kinetics), the presented model thus implies that reduced passive nutrient uptake is compensated for by active nutrient uptake. In addition, the proposed root uptake model includes compensation for active nutrient uptake, in a similar way as used for root water uptake. The proposed root water and nutrient uptake model is demonstrated by several hypothetical examples, for plants supplied by water due to capillary rise from groundwater and surface drip irrigation.     

Database-driven models of the world's Large Marine Ecosystems

We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort.     

Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach

Decision tree models were developed to investigate and predict the relative abundance of three key pasture plants [ryegrass (Lolium perenne), browntop (Agrostis capillaris), and white clover (Trifolium repens)] with integration of a geographical information system (GIS) in a naturalised hill-pasture in the North Island, New Zealand, and were compared with regression models with respect to model fit and predictive accuracy. The results indicated that the decision tree models had a better model fit in terms of average squared error (ASE) and a higher percentage of adequately predicted cases in model validation than the corresponding regression models. These decision tree models clearly revealed the relative importance of environmental and management variables in influencing the abundance of these three species. Hill slope was the most significant environmental factor influencing the abundance of ryegrass while soil Olsen P and annual P fertilizer input were the most significant factors influencing the abundance of browntop, and white clover, respectively. Soil Olsen P of approximately 10 μg/g, or a slope of about 10.5° was critical points where the competition between ryegrass and browntop tended to come to an equilibrium. Integrating the decision tree models with a GIS in this study not only facilitated the model development and analyses, but also provided a useful decision support tool in pasture management such as in assisting precision fertilizer placement. The insights obtained from the decision tree models also have important implications for pasture management, for example, it is important to maintain a soil Olsen P higher than 10 μg/g in order to keep the dominance of ryegrass in the hill-pasture.