知识产权贸易下的全球地缘科技格局及其演化

中国崛起,关键在于科技崛起。在当前技术针对与封锁的国际环境中,探讨建构以中国为核心的全球创新网络和科学制定中国未来科技战略是当前创新地理学和地缘政治学交叉之下研究的重点课题,而明晰全球地缘科技格局及其演变过程则是基础所在。本文基于2001—2015年全球国家（地区）间的知识产权进出口数据,在研究全球知识产权贸易格局和网络结构的基础上,探讨了全球地缘科技体系的时空演化特征,得出以下结论：① 全球知识产权贸易网络两极分化显著,是一典型的小世界网络,以美国为核心的金字塔结构不断夯实;② 基于敏感性和脆弱性模型阐释的全球知识产权贸易的非对称依赖性进一步验证了美国是全球地缘科技格局的核心,且其核心地位不断巩固和加强。     

关于确保甘肃省祁连山生态保护红线落地并严守的科技支撑建议

祁连山是中国西部重要生态安全屏障,是国家重点生态功能区,其生态保护与治理一直受到国家、地方政府和当地居民高度关注。目前,在祁连山的生态保护工作中,缺乏对现状基础数据的全面掌握,区域经济发展与生态环境保护矛盾突出,生态环境综合监测系统不完备,生态补偿机制推进实施缺乏创新。在全面梳理祁连山目前存在的重大生态问题的基础上,提出了祁连山生态保护红线落地并严守的建议,包括加快开展祁连山综合科学考察、完善并落实开展生态补偿机制、探索以正面清单为导向的协调发展模式、促进生态安全与地方经济社会可持续发展相协调、进一步实施重大配套政策、完善保障支撑体系等。     

Reminiscences of my life in science

With a great deal of humility I attempt in the following to recall important events in my life and in my scientific career of more than five decades. I am not through yet. I continue to do research though, I admit, not with the energy and fervor I once had. Still, I hope to contribute to science in meaningful ways.     

Hierarchical community detection and functional area identification with OSM roads and complex graph theory

An in-depth analysis of the urban road network structure plays an essential role in understanding the distribution of urban functional area. To concentrate topologically densely connected road segments, communities of urban roads provide a new perspective to study the structure of the network. In this study, based on OpenStreetMap (OSM) roads and points-of-interest (POI) data, we employ the Infomap community detection algorithm to identify the hierarchical community in city roads and explore the shaping role roads play in urban space and their relation with the distribution of urban functional areas. The results demonstrate that the distribution of communities at different levels in Guangzhou, China reflects the urban spatial relation between the suburbs and urban centers and within urban centers. Moreover, the study explored the functional area characteristics at the community scale and identified the distribution of various functional areas. Owing to the structure information contained in the identification process, the detected community can be used as a basic unit in other urban studies. In general, with the community-based network, this study proposes a novel method of combining city roads with urban space and functional zones, providing necessary data support and academic guidance for government and urban planners.     

A novel spatial index using spatial analyses and hierarchical fuzzy expert system for obtaining green TOD: a case study in Tehran city

Sustainable development is a vital and challenging factor for managing urban growth smartly. This factor contains three main components, namely economic growth, ecological protection and social justice. Green Transit-Oriented Development (GTOD) is a consummate planning approach in line with those components. Implementation of GTOD in an urban area is underpinned by its quantification. Therefore, a quantitative spatial index based on several indicators related to TOD and Green urbanism concepts should be developed. In this study, Geo-spatial Information Science and hierarchical fuzzy inference system (HFIS) were employed to calculate the indicators and aggregate them, respectively. In order to showcase the feasibility of the proposed method, it was implemented in a case study area in the City of Tehran, Iran. The result of this method is an integrated spatial GTOD index, which measures the neighbourhoods’ GTOD levels. These measurements specify weaknesses and strengths of neighbourhoods’ factors. Therefore, this index helps decision-makers to plan neighbourhoods based on land use and public transit views. Additionally, the HFIS method helps decision-makers to consider criteria and indicators with their inherent uncertainties and aggregate them with much fewer rules. For evaluating the results, the developed GTOD index was assessed with municipal action planning and attraction maps. According to the outcomes of the assessment, it is concluded that the proposed method is adequately robust and efficient for smart and sustainable urban planning.     

无居民海岛开发适宜性评价指标体系的构建和在厦门海域的应用

无居民海岛开发适宜程度取决于对其生态重要性与开发可行性的综合评价.本研究从表征生态重要性的物种、生境和自然历史文化遗迹,以及反映开发可行性的自然、资源和社会经济条件构建无居民海岛开发适宜性评价指标体系;采用专家咨询法和层次分析法确定指标权重,在评价指标量化与标准化处理的基础上,建立生态重要性-开发可行性互斥矩阵确定无居民海岛的开发适宜程度.对厦门海域的实际应用研究结果表明,其18个无居民海岛的开发适宜性总体偏低,中度适宜开发的海岛共有7个,低适宜开发的海岛有8个,不适宜开发的海岛有3个,评价结果与国家海洋局2011年发布的可供开发利用无居民海岛名录中厦门海域部分基本吻合.作者建议对厦门海域中度适宜开发的无居民海岛可据其资源特征进行适度开发;对低适宜开发的无居民海岛应优先保护海岛生态,维护海岛自然属性;对不适宜开发的无居民海岛应重点加强海岛生态保护,必要时进行生境的重建和修复.     

福建省贝藻类养殖碳汇及其潜力评估

海水贝藻类养殖碳汇是海洋渔业碳汇的重要组成,开展其碳汇研究对服务我国实现碳中和目标有积极的作用.福建省的海水养殖规模和产量居于全国前列,对其海水贝藻类养殖碳汇及潜力评估有重要的意义.本研究分析了2015至2020年度《中国渔业统计年鉴》海水贝藻类养殖数据,估算了2014年至2019年全国及福建省海水贝藻类养殖碳汇强度,...     

海洋环境辐射质量分级方法及导出活度浓度限值初探

本研究综述了国际上海洋环境辐射质量评价方面的研究进展,结合我国海洋管理的实际需求,提出将海洋环境辐射质量分为4个级别(1~4级分别表示环境放射性水平处于本底范围、超出本底范围但无危害、所致公众辐射剂量超出限值和所致海洋生物辐射剂量超出限值),并提出了各级导出活度浓度限值的确定原则。其中,确定第1级导出活度浓度限值的依据为我国的放射性本底调查数据,采用统计分析的方法,取绝大多数本底值的上限值,作为分级阈值。确定第2级导出活度浓度限值的依据为公众辐射剂量限值、鱼类对不同核素的浓集系数、不同核素的剂量转换因子、海产品消费量等参数,原则是确保在正常摄入海产品的情况下,对公众造成的辐射剂量不超过国家标准规定的年剂量限值。确定第3级导出活度浓度限值的依据为国际上有关海洋生物发生辐射效应阈值的研究成果,原则是保护海洋生物种群不受辐射伤害。最后,本研究将根据各级的分级阈值与现行国家标准限值进行比较。本研究成果有助于国内工作在一线的海洋监测人员对常规监测数据进行评价,亦为海洋管理决策提供技术支持和参考依据。     

基于PSR模型的石化园区海洋环境影响后评估指标体系研究

我国将建成七大国家级石化产业园区,这些石化园区无一例外的位于沿海地区或海岛上,为此加强石化园区运营期海洋环境保护意义重大.环境影响后评估是运营期检验园区环境管理水平、查找园区环境问题的重要手段之一.目前,石化园区环境影响后评估主要以环境要素逐一分析法最为常见,而将石化园区作为一个整体从资源、环境、管理等角度综合评估的方法尚不多见.本研究在阐述我国海洋环境后评估和深入分析石化园区用海特点的基础上,结合PSR框架模型加以总结,提出了石化园区海洋环境影响后评估框架与指标体系,分为框架层、方案层和指标层,共25项考核指标,以期为今后沿海石化园区海洋环境管理研究提供思路.同时,本研究明确了各类评估指标赋值和权重等计算方案,并以大连某石化园区为案例进行了评估效果验证.     

滨海社区空间演变分形研究——以厦门市高浦社区为例

滨海城市社区的空间形态及其海岸线表现出一定程度的复杂性,发展量化描述方法对于其可发展研究有重要的理论与应用价值。本研究基于分形理论,以滨海城市厦门的高浦社区为研究对象,利用计盒法对该滨海社区空间形态和边界进行复杂性分析和分形维计算,研究社区空间形态复杂性演变规律。结果表明:作为典型海湾渔村的高浦社区空间形态具有分数维,呈现分形结构特性。自1989年至今,该社区空间形态的分形维数呈现增长态势;社区边界的分形维数呈现下降态势。社区空间形态的分形维数与社区建筑占地面积、建筑总面积、建筑密度、容积率都表现出相关性。这表明滨海社区在快速城市化进程中,社区规模急剧扩张可能会导致空间形态和边界复杂性的显著变化。