Environmental change and the informal plastic recycling networks of Kolkata

This article introduces plastic recycling networks in Kolkata, India, as a case to illustrate the contradictory entanglement of economic and environmental change in urban informal contexts of the Global South. In light of the prevailing environmental critique of informal plastic recycling in India, this article discusses plastic recyclers’ environmental impact and contribution as well as the potential to enhance the environmental and economic performance of their business. Network and chain approaches in the emerging field of Environmental Economic Geography are combined with the notion of social metabolism to conceptualize the entanglement of environmental and economic processes as well as socio-environmental inequalities entailed in recycling networks. The analysis reveals the impact that the heterogeneity and fluctuation of plastic waste supply has on the economic organization of recycling networks, giving rise to distinct forms of governance in its intermediate and down-stream segments. Such an integrated perspective also serves to explain why environmental upgrading is hard to achieve under prevailing circumstances by plastic recyclers in Kolkata. Based on an assessment of the social and political conditions of informality under which plastic recyclers operate, the adoption of common assumptions about ecological modernization imbuing parts of Environmental Economic Geography is called into question.     

辽东湾北部地区走滑构造特征与油气富集规律

辽东湾北部地区右行走滑构造特征较为典型,主要表现为:沿走滑断裂带发育雁行式伸展断裂;剖面上发育花状构造;走滑断裂沿走向呈“S”型或反“S”型波状弯曲;沿走滑断裂带断槽与断鼻构造相间分布。分析认为,渐新世晚期,辽东湾北部地区南北向拉张、东西向挤压的区域应力场控制了右行走滑构造的形成,断槽与断鼻构造相间分布是由于沿走滑断裂带局部应力场性质发生改变所致。右行走滑断裂的“S”型弯曲部位为增压弯部位,走滑断裂两侧断块在此汇聚,地层因应力集中而形成断鼻构造;右行走滑断裂的反“S”型弯曲部位为释拉张部位,走滑断裂两侧断块在此离散,地层因拉张而发生断陷形成断槽。受走滑构造所控制,油气沿走滑断层自断槽向断鼻方向运移、聚集而成藏。研究走滑构造发育特征,对于预测圈闭分布以和研究油气富集规律具有重要意义。     

一种海洋混合层深度的智能识别方法研究

文章提出了一种识别混合层深度的人工智能方法。该方法在温度(密度)与压强(或深度)间建立线性模型, 并且将其系数和方差做成一组表征廓线特征的统计量。初始时为模型设定一个主观的先验分布, 在一个自海表向下移动的窗口内通过贝叶斯链式法则和最小描述长度原理学习新数据, 得到系数均值的最大后验概率估计。用F-检验识别系数发生突变的位置, 以此确定混合层的存在性及其深度。通过2017年2月太平洋海域的地转海洋学实时观测阵(Array for Real-time Geostrophic Oceanography, ARGO)数据进行测试, 并且以质量因子(Quality Index, QI)值作为判断识别混合层深度结果准确性的依据, 发现该方法相比于梯度法、阈值法、混合法、相对变化法、最大角度法和最优线性插值法在识别结果上具备更大的QI值。表明该方法能够准确识别混合层深度。     

中国北方磷矿矿床类型及成矿规律

通过对中国北方内生磷灰石、变质及沉积型磷矿成矿特征及典型矿床的研究,建立了各种类型磷矿床的成矿模式和找矿模型、确定了各类型矿床的时空分布规律以及矿床的共生规律,为开展磷矿的找矿工作具有重要参考价值。     

深海潜器耐压圆柱壳结构计算和校核方法研究

文中比较了中美两国潜器规范中各特征量的计算方法和校核准则,分析了异同点,并给出数值算例。针对潜器特性,对目前我国潜器规范中可能需要修改的地方进行了初步分析。     

一种针对规则冲突的规则集语义比较算法

应用DFD(Diverse Firewall Design)方法进行防火墙规则集设计时,需使用规则集语义比较算法,判断多个规则集是否语义一致。规则冲突是导致规则集语义不一致的主要原因。因此,需要研究针对规则冲突的规则集语义比较算法。而现有算法时空复杂度较高,性能低下。文中提出了1种基于关键数据包选取映射的规则集语义比较算法(KPCM)。KPCM算法针对规则冲突选取关键数据包,并通过比较这些数据包在不同规则集中的处理动作,判断这些规则集是否语义一致。理论分析和测试表明,KPCM算法时空性能均优于现有算法。     

台湾海峡表层沉积物中重矿物特征及其物质来源

台湾海峡重矿物平均分布0.95%,其分布由西岸向东岸递减;由北部经台湾浅滩朝粤东方向缓慢递减。碎屑矿物46种,以角闪石、绿帘石、磁铁矿、钛铁矿、褐铁矿和片状矿物为主,它们占重矿物含量的67%。据主要重矿物含量将海峡分成8个矿物组合区。碎屑矿物来自海峡两岸基岩,通过河流搬运入海,有部分片状矿物为海峡以北的物质随浙闽沿岸流进入海峡而沉积。其海绿石是台湾西岸、澎湖岛第三系或第四系含海绿石岩层剥蚀后搬运入海沉积而成的。台湾浅滩的残留沉积物为晚更新世低海面时期的河口滨海相沉积物。由于处在开放的海洋环境,至今没有接受现代沉积。残留沉积物中的磁铁矿、钛铁矿、锆石等重矿物相对富集,含量高于近源海域,有可能赋存浅海砂矿。     

专题地图制图决策系统规则库的设计

在分析已有的专题地图制图决策支持系统的有关理论的基础上,总结相关制图知识,提出规则库设计的方法并设计部分规则实例,最后对规则库如何映射到关系数据库做了一些探讨,并建立了模型。     

开挖过程及围护结构对地铁车站抗震性能的影响

为了研究开挖工序以及围护结构作为永久结构在明挖车站的抗震设计校核中的作用,基于以灌注桩作为支挡结构的郑州市某明挖结构地铁站,采用Plaxis2D建立二层单柱双跨矩形框架式有限元模型,采取硬化土本构,建立考虑分步开挖、和不考虑开挖的模型,进行有无围护墙及不同墙厚抗震验算.研究结果表明:侧墙作为主要抗侧力构件,在地震荷载作...     

Estimation and prediction of plastic waste annual input into the sea from China

Marine plastic debris has been a pervasive issue since the last century, and research on its sources and fates plays a vital role in the establishment of mitigation measures. However, data on the quantity of plastic waste that enters the sea on a certain timescale remain largely unavailable in China. Here, we established a model using material flow analysis method based on life cycle assessment to follow plastic product from primary plastic to plastic waste with statistical data and monitoring data from accurate sources. This model can be used to estimate and forecast the annual input of plastic waste into the sea from China until 2020. In 2011, 0.547 3–0.751 5 million tons of plastic waste entered the seas in China, with a growth rate of 4.55% per year until 2017. And the amount will decrease to0.257 1 to 0.353 1 million tons in 2020 under the influence of governmental management. The amount of plastic waste discharged from coastal areas calculated in this study was much larger than that from river, thus it is suggested to strengthen the governance and control of plastic waste in coastal fishery activities in China in order to reduce the amount of marine plastic waste input.