The application of system dynamics in different practices of a waste management system

The continuous increase in waste generation warrants global management of waste to reduce the adverse economic, social, and environmental impact of waste while achieving goals for sustainability. The complexity of waste management systems due to different waste management practices renders such systems difficult to analyze. System dynamics (SD) approach aids in conceptualizing and analyzing the structure, interactions, and mode of behavior of the complex systems. The impact of the underlying components can therefore be assessed in an integrated way while the impact of possible policies on the system can be studied to implement appropriate decisions. This review summarizes various applications of SD pertinent to the waste management practices in different countries. Practices may include waste generation, reduction, reuse/recovery, recycling, and disposal. Each study supports regional-demanding targets in environmental, social, and economic scopes such as expanding landfill life span, implementing proper disposal fee, global warming mitigation, energy generation/saving, etc. The interacting variables in the WMS are specifically determined based on the defined problem, ultimate goal, and the type of waste. Generally, population and gross domestic product can increase the waste generation. An increase in waste reduction, source separation, and recycling rate could decrease the environmental impact, but it is not necessarily profitable from an economic perspective. Incentives to separate waste and knowledge about waste management are variables that always have a positive impact on the entire system.

     

蔬菜作物施用耐氨固氮菌的增产效果

研究在小区试验条件下,施用耐氨固氮型的催娩克氏菌和阴沟肠杆菌混合菌剂对蔬菜生长和产量的影响。结果表明，施用耐氨固氮菌可促进蔬菜生长，提高产量并改善品质，供试蔬菜的平均增产率达20％，增产效果明显。     

基于随机森林算法与农户视角的村落级农业面源污染风险分析

当前农业面源污染问题依然严峻,村落级尺度下各地块的污染风险状态精细识别有待进一步研究.本文针对三峡库区典型村落重庆市涪陵区南沱镇睦和村进行研究,结合无人机多光谱技术、农户行为调研、随机森林算法等进行地物识别及泛地块网格划分,通过测算总氮(total nitrogen,TN)、总磷(total phosphorus,TP...     

耐氨固氮菌对蔬菜作物生长的促进作用研究

研究并探讨了蔬菜作物在施用耐氨固氮菌后的生长、生理反应及增产的效果和原因。试验结果表明： 施用耐氨固氮菌显著增加了蔬菜苗期生物量、叶面积和叶片的叶绿素含量, 同时还增强了植株的根系活力, 并有明显的增产效果。耐氨固氮菌促进增产的作用不仅与其本身的固氮作用有关, 还可能与其分泌出某些生长刺激物 （ 或激素） 有关。     

A review on submarine oil and gas leakage in near field: droplets and plume

The 2010 Deepwater Horizon spill remains the largest catastrophic release of oil and gas into the deep sea. The irrupted oil and gas substantially impact a marine ecosystem, cause human injury, and have high societal opinions. Therefore, understanding the transport and dispersion of subsurface hydrocarbon provides an imperative substratum for the practical assessment and response of marine oil spill accidents. In this review, we summarize the major advances since the Deepwater Horizon accident, with emphasis on the observation and modeling of the droplet and the formation and dynamics of the plume. Additional complexity including more than the investigation of gas-saturated oil at high-pressure and the effect of Earth’s rotation on near field plume is also outlined. We end with a few outlooks on key priorities for more precisely estimations on future oil spills.

     

EDTAD-modified cassava stalks loaded with Fe3O4: highly efficient removal of Pb2+ and Zn2+ from aqueous solution

Environmental Science and Pollution Research - In this study, a novel magnetic cassava stalk composite (M-EMCS) was prepared through modification with ethylenediamine tetraacetic anhydride (EDTAD)...     

An in-depth quantitative analysis of wind turbine blade tip wake flow based on the lattice Boltzmann method

Environmental Science and Pollution Research - With the continuous increase in the total quantity and quality of wind energy used by society, the aerodynamic complexity of wind turbine impellers...     

苯通过活性炭固定床的透出浓度与时间的动态关系

用气相色谱法，测量苯的不同进样浓度，通过活性炭床透出浓度（C）与时间（t)，绘制C-t曲线图。各图形均类似反正切曲线。以曲线对应的函数。建立了反正切函数的线性关系方程C=A Ktg^-1(t-τ），作为数学模型基础。对该方程求时间的导数，获得透出速度分布方程，当C等于进样浓度C0的1/2时，t=τ,有最大速度K，它是吸附剂对吸附物作用的特征常数。为了验证数学模型可靠性，经相关与回归计算。结果显示，透出浓度与时间的反正切值之间，均呈高度正相关（r≥0.9927)。初步认为，建立的C-t方程是可行的，但由于进样浓度不同，方程的有关常数不一样，使之不便应用，然而，由于方程常数K和τ的对数与进样浓度的对数高度线性相关（r≥0.9999)。常数为进样浓度的指数函数，于是，用进样浓度C0代替K和τ，使方程可适应于不同进样浓度下的应用。同时，还讨论了活性炭吸附苯过程中稳定及非稳定吸附的定量关系和相关机理。     

西双版纳热带雨林榕树种群变化与环境的关系

植物物种的多样性在生态环境保护中具有重要的地位。西双版纳热带雨林生物多样性极为丰富,是我国生物多样性研究的关键地区。榕树是热带雨林中的关键植物类群之一,关于该地区榕树种群变化与环境关系的研究结果表明：①西双版纳热带雨林内已知榕属植物有69种、变种和亚种,其中榕亚属有23个种和变种;白肉榕亚属有4个种;聚果榕亚属有2个种和变种;无花果亚属有41个种、亚种和变种;西双版纳是中国榕树种群最丰富的地区。②榕树的分布与环境有着密切的关系,榕树种类和数量以保护完好的热带原始雨林最为丰富,在该类环境中的榕以高大乔木、乔木为主;被破坏林地和次生林内的榕树种群则以小乔木、灌木、灌丛、木质藤本为主;而热带雨林环境破坏严重的地区中则以一部分先锋榕树种为主。③保护好热带雨林中的关键植物类群榕属,是保护和恢复热带雨林生态环境的重要措施之一。     

Designing environmental monitoring networks to measure extremes

This paper discusses challenges arising in the design of networks for monitoring extreme values over the domain of a random environmental space-time field {X _ij } i = 1, . . . , I denoting site and j = 1, . . . denoting time (e.g. hour). The field of extremes for time span r over site domain i = 1, . . . ,I is given by \(\{Y_{i(r+1)}=\max_{j=k}^{k+n-1} X_{ij}\}\) for k = 1 + rn, r = 0, . . . ,. Such networks must not only measure extremes at the monitored sites but also enable their prediction at the non-monitored ones. Designing such a network poses special challenges that do not seem to have been generally recognized. One of these problems is the loss of spatial dependence between site responses in going from the environmental process to the field of extremes it generates. In particular we show empirically that the intersite covariance Cov(Y _i(r+1),Y _i′(r+1)) can generally decline toward zero as r increases, for site pairs i ≠ i′. Thus the measured extreme values may not predict the unmeasured ones very precisely. Consequently high levels of pollution exposure of a sensitive group (e.g. school children) located between monitored sites may be overlooked. This potential deficiency raises concerns about the adequacy of air pollution monitoring networks whose primary role is the detection of noncompliance with air quality standards based on extremes designed to protect human health. The need to monitor for noncompliance and thereby protect human health, points to other issues. How well do networks designed to monitor the field monitor their fields of extremes? What criterion should be used to select prospective monitoring sites when setting up or adding to a network? As the paper demonstrates by assessing an existing network, the answer to the first question is not well, at least in the case considered. To the second, the paper suggests a variety of plausible answers but shows through a simulation study, that they can lead to different optimum designs. The paper offers an approach that circumvents the dilemma posed by the answer to the second question. That approach models the field of extremes (suitably transformed) by a multivariate Gaussian-Inverse Wishart hierarchical Bayesian distribution. The adequacy of this model is empirically assessed in an application by finding the relative coverage frequency of the predictive credibility ellipsoid implied by its posterior distribution. The favorable results obtained suggest this posterior adequately describes that (transformed) field. Hence it can form the basis for designing an appropriate network. Its use is demonstrated by a hypothetical extension of an existing monitoring network. That foundation in turn enables a network to be designed of sufficient density (relative to cost) to serve its regulatory purpose.