BETR global--a geographically-explicit global-scale multimedia contaminant fate model

We present two new software implementations of the BETR Global multimedia contaminant fate model. The model uses steady-state or non-steady-state mass-balance calculations to describe the fate and transport of persistent organic pollutants using a desktop computer. The global environment is described using a database of long-term average monthly conditions on a 15° × 15° grid. We demonstrate BETR Global by modeling the global sources, transport, and removal of decamethylcyclopentasiloxane (D5).     

城镇化地区水文过程实验观测与模拟——以太湖西苕溪流域安吉实验小区为例

城镇化的发展使不透水面积不断增加,往往导致地区的水文过程发生较为明显的改变。以太湖上游西苕溪流域内的安吉城镇化实验小区为例,在对研究流域50多a长系列水文气象资料和区域城镇化特征作较详细分析的基础上,结合2005~2008年短时间尺度降雨径流观测实验,通过雨量、水位以及下垫面等数据分析,选用Storm Water Management Model这一暴雨洪水管理模型对该地区的典型洪水过程进行了模拟,对其降雨径流规律进行了分析。结果表明：该模型对该区域的模拟效果较好,误差较小,可以用于该城镇化地区的降雨径流过程模拟和洪水规律定量分析;分析该实验小区降雨径流过程可知,城镇化使该地区洪水上涨过程明显加快,6场典型洪水的峰型系数均值为305,洪峰流量增大而滞时缩短,较快的汇流速度使该地区的防洪压力较大。实验观测方法及模拟分析成果将有助于对太湖地区小流域城镇洪水过程特征与规律的认识,对我国东部城镇地区的防洪、规划与管理也具有重要的借鉴意义     

A root exudates based approach to assess the long-term phytoavailability of metals in biosolids-amended soils

Organic acids present in the rhizosphere of growing plants are widely recognized to be responsible for dissolving the solid phase metals in the soil and making them available for plant absorption. We proposed a root exudates-based model to assess the long-term phytoavailability of metals in biosolids-amended soils. The phytoavailability of biosolids-borne metals was defined in terms of a capacity factor and an intensity factor. The plant available metal pool, C₀ (capacity factor, mg kg⁻¹), can be estimated by fitting the successive organic acids extraction data to an exponential decay kinetic equation. The field metal removal rate, k (intensity factor, yr⁻¹), can be estimated from the successive extraction-based metal release rate through an effective annual organic acid production in the rhizosphere which was found to be characteristic of plant species. The protocol was successfully used to assess the long-term phytoavailability of metals in biosolids-amended soil from two biosolids land application sites.     

Emissions of gaseous nitrogen species from manure management: a new approach

A procedure for the assessment of emissions of nitrogen (N) species (ammonia, nitrous oxide, nitric oxide, di-nitrogen) from the manure management system is developed, which treats N pools and flows including emissions strictly according to conservation of mass criteria. As all relevant flows in the husbandry of mammals are depicted, the methodology is considered a Tier 3 approach in IPCC terminology or a detailed methodology in UN ECE terminology. The importance of accounting for all N species is illustrated by comparing emission estimates obtained using this approach with those obtained from the application the present detailed/Tier 2 methodology.     

A classification and regression tree model of controls on dissolved inorganic nitrogen leaching from European forests

Often, there is a non-linear relationship between atmospheric dissolved inorganic nitrogen (DIN) input and DIN leaching that is poorly captured by existing models. We present the first application of the non-parametric classification and regression tree approach to evaluate the key environmental drivers controlling DIN leaching from European forests. DIN leaching was classified as low (<3), medium (3-15) or high (>15 kg N ha⁻¹ year⁻¹) at 215 sites across Europe. The analysis identified throughfall NO₃⁻ deposition, acid deposition, hydrology, soil type, the carbon content of the soil, and the legacy of historic N deposition as the dominant drivers of DIN leaching for these forests. Ninety four percent of sites were successfully classified into the appropriate leaching category. This approach shows promise for understanding complex ecosystem responses to a wide range of anthropogenic stressors as well as an improved method for identifying risk and targeting pollution mitigation strategies in forest ecosystems.     

Determining metal origins and availability in fluvial deposits by analysis of geochemical baselines and solid-solution partitioning measurements and modelling

Metals in floodplain soils and sediments (deposits) can originate from lithogenic and anthropogenic sources, and their availability for uptake in biota is hypothesized to depend on both origin and local sediment conditions. In criteria-based environmental risk assessments, these issues are often neglected, implying local risks to be often over-estimated. Current problem definitions in river basin management tend to require a refined, site-specific focus, resulting in a need to address both aspects. This paper focuses on the determination of local environmental availabilities of metals in fluvial deposits by addressing both the origins of the metals and their partitioning over the solid and solution phases. The environmental availability of metals is assumed to be a key force influencing exposure levels in field soils and sediments. Anthropogenic enrichments of Cu, Zn and Pb in top layers could be distinguished from lithogenic background concentrations and described using an aluminium-proxy. Cd in top layers was attributed to anthropogenic enrichment almost fully. Anthropogenic enrichments for Cu and Zn appeared further to be also represented by cold 2 M HNO₃ extraction of site samples. For Pb the extractions over-estimated the enrichments. Metal partitioning was measured, and measurements were compared to predictions generated by an empirical regression model and by a mechanistic-kinetic model. The partitioning models predicted metal partitioning in floodplain deposits within about one order of magnitude, though a large inter-sample variability was found for Pb.     

基于可解释机器学习的青藏高原草地物候变化多因素影响分析

气候变化背景下,青藏高原植被物候发生显著改变.然而,影响物候的水热因素众多,目前较少有研究关注多因素对青藏高原物候的影响效应,导致对青藏高原物候变化机制认识不足.为此,研究通过遥感数据解译,在对2002~2021年青藏高原草地物候时空变化特征分析的基础上,聚焦降水、气温、海拔和土壤等多方面,利用可解释机器学习方法（SHAP）揭示物候变化的主导因素,并量化分析多因素对物候的交互影响.结果表明:①青藏高原分别有56.32 %、67.65 %和65.50 %的草地表现出生长季开始时间（SOS）提前、生长季结束时间（EOS）延迟和生长季长度（LOS）延长趋势;②青藏高原草地SOS和LOS主要受水分条件影响,3月0~10 cm土壤水分对SOS提前和LOS延长起促进作用的范围分别在10~25 kg·m^-2和15~25 kg·m^-2之间,峰值分别在20 kg·m^-2和18 kg·m^-2左右;EOS则主要受温度影响,9月和10月温度越高对EOS延迟促进作用越强,并分别在高于8 ℃和-0.5 ℃时达到峰值;③水热等因素对物候的影响存在非线性交互效应,3月0~10 cm土壤水分达到20 kg·m^-2后,更有利于低降水和低海拔地区SOS提前;10月温度高于0 ℃后较好的水分条件更有利于EOS延迟;3月0~10 cm土壤水分在12~22 kg·m^-2之间时,高降水地区LOS更长.研究表明,可解释机器学习方法可为物候变化的多因素影响定量分析提供一种新的方法.     

Investigation of some nonlinear singular model ecosystems and new concerned mathematical problems

The work is devoted to the investigation of nonlinear singular ecological models with initial functional conditions and determination of solutions of problems, which are connected with these models. It is also considered some of its applications in field of ecological modelling under formulation and investigation of the so-called keeping and protection problems. We shall investigate nonlinear models that are described with the help of partial differential equation of first and second orders. Solutions of linear and some singular nonlinear problems with functional initial conditions are obtained in the form depending from initial parameters.     

附加环境因素:传统比较优势理论的扩展

在李嘉圈模型中，若将环境成本用追加的劳动投入来衡量。可以发现，环境成本的引入将修正传统的比较优势格局。在H-O模型中耐加环境因素，亦即假定环境作为一种生产要搴而起作用。则所形成的比较优势将建立在包含环境要素真实价格的基础之上。本文最后指出，环境要素的真实价格与现实价格的脱离，使“显示的比较优势”有可能与真实的比较优势发生偏离。从而损害效率与公平。     

基于NLM的三峡重庆库区面源污染负荷研究

随机性、模糊性、不确定性很强的面污染源是水环境污染中最主要的污染源。面源污染负荷的准确估算是研究和治理面源污染的基础。现在的面源污染数字模型大多数建立于DEM之上，高成本的DEM限制着这类模型的发展。新兴模型——NLM以面源污染发生机理完善而著称。借助于NLM，以三峡重庆库区为例研究分析面源污染的机理，面源污染负荷随时间的变化以及面源负荷受各因素的影响程度等。从硝化、反硝化、矿化、吸附等作用过程中更深层地剖析了面源污染行为；掌握了面源污染物TP、NH3-N、NO3-N的随时间的变化规律及降雨量、土壤有机成分、土壤气温、总辐照等因子对各污染物负荷的影响及相互关系。总之，NLM为开展面源污染负荷及影响因素的研究提供了科学依据。