Investigating the Waterfront: The Entangled Sociomaterial Transformations of Coastal Space in Karnataka,India

Triggered by urbanization and changing land use, coastal transformation is a rapidly increasing phenomenon in the global south, driving dramatic livelihoods impacts. However, the existing literature on small-scale fisheries (SSF) has paid little attention to the way coastal transformations shape conditions for SSF livelihoods communities. This study proposes a new orientation in SSF studies by exploring the assemblage of entangled sociomaterial processes that account for coastal transformations by investigating waterfront transformation in a fishing community in Karnataka, India. Drawing on ethnographic fieldwork, we conclude that an entanglement of sociomaterial processes produces unequal outcomes among stakeholders that subsequently reinforce the political and economic marginalization of certain groups of waterfront users. Moreover, the investigated context-specific waterfront assemblage intimately connects to the broader context of national fishery policy, urbanization, and tourism, directing the way coastal space can and should be transformed. Such an analysis contributes to the understanding of changing livelihoods in SSF communities.     

The social–ecological system framework as a knowledge classificatory system for benthic small-scale fisheries

Ostrom proposed the underpinnings of a framework for the systematic study of the governance of complex social–ecological systems. Here we hypothesize that Ostrom's social–ecological system framework can be useful to build a classification system for small-scale benthic fisheries, regarding their governance processes and outcomes. The purpose of this paper is to contribute to knowledge accumulation of benthic fisheries. To tailor the framework, we relied on discussions among experts and a systematic literature review of benthic fisheries from 1980 to 2010. This literature review helped us refine variable definitions and provide readers with illustrative reference papers. We then illustrate the approach and its potential contributions through two studies of the emergence of self-organization in Mexico and Chile. We highlight synthetic lessons from the cases and the overall approach as well as reflect on remaining challenges to the development of a social–ecological system framework as a diagnostic tool for knowledge accumulation and synthesis.     

城市暴雨内涝情景模拟与灾害风险评估

Scenario modelling and the risk assessment of natural disasters is one of the hot-spots in disaster research.However,up until now,urban natural disaster risk assessments lack common procedures and programmes.This paper selects rainstorm waterlogging as a disaster to research,which is one of the most frequently occurring hazards for most cities in China.As an example,we used a small-scale integrated methodology to assess risks relating to rainstorm waterlogging hazards in the Jing’an District of Shanghai.Based on the basic concept of disaster risk,this paper applies scenario modelling to express the risk of small-scale urban rainstorm waterlogging disasters in different return periods.Through this analysis of vulnerability and exposure,we simulate different disaster scenarios and propose a comprehensive analysis method and procedure for small-scale urban storm waterlogging disaster risk assessments.A grid-based Geographical Information System (GIS) approach,including an urban terrain model,an urban rainfall model and an urban drainage model,was applied to simulate inundation area and depth.Stage-damage curves for residential buildings and contents were then generated by the loss data of waterlogging from field surveys,which were further applied to analyse vulnerability,exposure and loss assessment.Finally,the ex-ceedance probability curve for disaster damage was constructed using the damage of each simulated event and the respective exceedance probabilities.A framework was also devel-oped for coupling the waterlogging risk with the risk planning and management through the exceedance probability curve and annual average waterlogging loss.This is a new explora-tion for small-scale urban natural disaster scenario simulation and risk assessment.     

浅层地震勘探中有限元数值模拟方法的应用研究

针对目前广泛用于解决工程地质问题的浅层地震勘探特点,通过对浅层小尺度介质进行地震波数值模拟,揭示地震波在不同浅层介质模型中的波场特征和传播规律.为浅层地震勘探野外数据采集前合理选择观测系统提供指导性的方案,并能对地震勘探成果解释的合理性给予客观评价.在分析各种数值模拟方法特点的基础上,选择具有精度高、易模拟复杂结构的有...     

中国多金属结核西示范区的结核小尺度分布特征

利用在中国多金属结核西示范区加密调查中获取的海底视像资料,通过水下定位数据处理和结核覆盖率计算,并结合多波束地形测量数据,从结核覆盖率分布角度对多金属结核的小尺度分布特征进行研究。研究结果表明:多金属结核分布与地形有一定的对应关系,在地形平缓区域,结核覆盖率变化较平缓,而在某些地形陡峭区域,由于块状结壳的形成,结核/结壳覆盖率出现明显的跃升;西示范区为结核高覆盖率分布区,结核覆盖率沿东西方向变化不大,由北向南呈增高趋势;地形坡度对结核分布有明显的影响,在区内0°~3.6°的坡度范围内,坡度越大,结核覆盖率越高。     

Magnetic fields and Fe I line profiles in the major solar flare on October 28, 2003

Strong (“kilogauss”) small-scale magnetic fields were detected outside a sunspot near the seismic source of the major X17.2/4B solar flare on October 28, 2003. Echelle Zeeman spectrograms of the flare were obtained with the horizontal solar telescope at the Astronomical Observatory of the Taras Shevchenko Kiev National University. Analysis of the Stokes I ± V profiles for the Fe I 5232.9, 5247.1, 5250.2, and 5397.1 Å lines has revealed a number of characteristic spectral features. These are indicative of both background fields with a strength of ≈300 G and small-scale fields with a strength of 1300–3100 G. Evidence for the presence of another small-scale field component of opposite polarity with a strength of 8–10 kG has been found. A redshift (downflow) with a velocity of 1 km s^?1 was observed in the latter component.     

用于地学研究的小宽线深反射地震技术

深反射地震方法分辨率高、准确可靠,是用于地学研究的一种有效方法技术。本文系统地讨论了一种实用、有效的深反射地震技术—小宽线反射地震技术,把该技术应用于东秦岭深反射地震调查中,取得了很好的成果。     

Improving settlement selection for small-scale maps using data enrichment and machine learning

Acquiring and formalizing cartographic knowledge still is a challenge, especially when the generalization process concerns small-scale maps. We concentrate on the settlement selection process for small-scale maps, with the aim of rendering it more holistic, and making methodological contributions in four areas. First, we show how written specifications and rules can be validated against the actual published map products, thus pointing to gaps and potential improvements. Second, we use data enrichment based on supplementing information extracted from point-of-interest data in order to assign functional importance to particular settlements. Third, we use machine learning (ML) algorithms to infer additional rules from existing maps, thus making explicit the deep knowledge of cartographers and allowing to extend the cartographic rule set. And fourth, we show how the results of ML can be transformed into human-readable form for potential use in the guidelines of national mapping agencies. We use the case of settlement selection in the small-scale maps published by the Polish national mapping agency (GUGiK). However, we believe that the methods and findings of this paper can be adapted to other environments with minor modifications.     

小比例尺地图投影设计方法研究

针对地图投影的设计通常只能由具有数学与制图专业知识的专家完成的不足,该文对Robinson完全视觉化的地图投影方法进行扩展,提出一种基于软件方法的小比例尺世界地图投影设计方法,使普通用户能够快速创建新的地图投影或是修改一个已存在的投影:利用纬线长、纬线与赤道的距离、纬线弯曲度、经线弯曲度四个参数描述一种投影,并通过对比例变形、面积变形、角度变形、可接受的变形度等变形指标的视觉化展示向用户直观反映新投影的变形程度;同时通过可结构化的指数从整体上评估区域和角度变形。最后以Aitoff投影为例验证了方法的正确性。