黄河流域工业生态效率空间分异特征与影响因素

工业生态效率是人地系统耦合状态和水平的重要表征。以黄河流域八省区为实证区域,构建工业生态效率投入产出指标体系,采用Super-SBM模型对地市尺度2006—2016年工业生态效率进行测度,分析其空间分异特征;构建计量模型,从全流域和上中下游等不同尺度,考察工业生态效率的影响因素。结果表明：① 工业生态效率整体呈提升态势,空间上呈自下游向上游递减格局,山东整体最高,河南提升较快,甘肃整体最低;下游城市群和区域中心城市的工业生态效率整体更优。② 工业生态效率具有空间自相关特征,由高-高集聚类型演化为高-高、低-低两种局域集聚类型。2006年高-高集聚类型分布在陕晋蒙交界地区和山东半岛城市群,2016年高-高集聚类型分布于山东半岛城市群、中原城市群和陕西南部,低-低集聚类型集中分布在山西、甘肃。③ 经济发展水平、工业集聚强度、科技投入、经济外向度、环境规制和经济密度对工业生态效率存在正向促进作用,但与中上游相比,下游地区工业集聚强度的影响偏弱,而环境规制的作用更强。④ 提高黄河流域工业生态效率水平,需要进一步提高经济发展水平、工业集聚强度、科技投入和经济外向度,加强环境规制。但要根据上中下游实际采取差异化措施,中上游地区因生态环境脆弱,应将清洁产业的集聚作为发展方向,提升产业集聚正外部性,支持资源型城市的经济结构转型,强化环境规制的约束。     

Research progress and prospect on development geography

In this paper,we review the research progress in development geography since the 20th century,focusing on its connotation and theory,fields,methods,and development trends.Specifically,we systematically review the research and applications of development geography,comprising fields such as the convergence of underdeveloped countries and re-gions,and the convergence of the process of improving the quality of life in developed coun-tries and regions.Then,based on an analysis of research progress in development geogra-phy in foreign countries,we examine the development conditions and disciplinary advantages of development geography in China.Further,we highlight that future development geography research in China should focus on the latest international academic research and China's national macro-strategic needs.Future research in development geography should be guided by the theory of sustainable development,the core of which is to improve sustainable liveli-hood capacity and regional green development levels in underdeveloped regions.This core includes the construction of industrial policy and development geography theory,as well as an interdisciplinary integrated research system.The focus must be placed on researching the spatial patterns,diffusion characteristics,and the convergence mechanism of regional de-velopment.Such a focus will facilitate exploration of the regulatory policies and scientific paths that serve regional economic construction and industrial development.     

1990-2020年间念青唐古拉山中段北坡边坝地区冰川变化及气候响应

念青唐古拉山作为青藏高原东南缘重要山古冰川分布区,受季风影响,各区域冰川变化特征差异明显。论文通过Landsat TM/ETM+/OLI资料、ASRTMGDEM与气象数据,采用比值—阈值法、目视解译和VOLTA模型,结合实地考察,对1990—2020年间念青唐古拉山中段北坡边坝地区现代冰川进退状况、面积变化、冰储量变化以及冰川变化对气候变化响应特征进行研究。结果表明：① 1990—2020年5条冰川(玉贡拉冰川、玛拉波冰川、祥格拉冰川、孔嘎冰川、贡日—庚东冰川)末端高程逐渐升高,面积和冰储量分别减少30.38 km²和4.64 km³,总体缩减并呈现加速趋势。② 冰川冰储量减少0.14~1.92 km³,总体变化率为0.40%·a^-1。2020年上述5条冰川储量占1990年冰川储量的比例分别为0.70、0.99、0.98、0.91和0.82,显示出冰川规模越大,在短时间尺度的变化量越小。③ 气象数据分析显示,1990—2020年研究区冰川变化受气温升高主导,平均气温变化率为0.51 ℃。水热组合呈现温度升高—降水减少,且在最后10 a日益显著,预测未来冰川变化仍受气温控制并呈加速退缩趋势。④ 区域对比研究表明,念青唐古拉山冰川面积变化总体呈退缩状态,但各区域冰川变化特征差异明显。同时,不同研究方法对同一冰川区冰储量模拟结果相差较大,相对误差范围为34.45%~115.49%,精确的冰储量可对比研究方法仍有待进一步研究。     

西方政治生态学的地理学研究进展与启示

随着全球生态环境问题的日益凸显,政治生态学以关注造成环境问题的政治因素为研究内核,成为不同学科共同探索的研究领域。地理学以人地关系为立足点,深化政治生态学研究的空间性和政治性。论文首先通过对西方政治生态学理论脉络进行梳理,发现政治生态学根源于早期环境批判思想、西方马克思主义、后结构主义以及后人类主义理论,并与地理学的发展相辅相成。其次,对近30年西方地理学与政治生态学的相关研究成果进行分析发现,现有的研究议题主要聚焦于生态经济与绿色发展、生态治理与环境保育、生态身份与微观政治及生态客体与能动性4个方面。在此基础上,论文总结了相关研究对中国地理学进行政治生态学研究的借鉴意义,并进一步提出立足中国本土进行政治生态学研究未来需要关注的方向。     

绿色金融如何影响中国城市环境污染？——以雾霾污染为例

文章将绿色金融纳入环境规制的分析框架,以2016－2019年中国289个地级以上城市雾霾污染为例,使用空间杜宾模型探讨绿色金融、环境规制、产业结构、技术水平对雾霾治理的影响,侧重分析了绿色金融与其他因素的交互作用。结果表明：绿色金融具有空间溢出效应,本地绿色金融可以降低周边地区雾霾污染;绿色金融能够与环境规制协同互补,以优化产业结构、提升技术水平的方式促成雾霾治理。绿色金融的结构效应弱于环境规制,在中部地区并不显著;绿色金融的技术效应强于环境规制,能够激励不同地区技术创新。文章启示,绿色金融与环境规制能够相互增益,应建立区域间绿色金融合作机制,增强绿色金融的普惠性,助力区域产业转型和污染治理。     

国外城市农业的角色演变、潜在效益及其对中国的启示

作为新兴的农业形式,城市农业本质上是一项以食物生产为直接目的的城市生态工程,有望在促进城市可持续发展方面作出积极贡献。据此,文章首先从历史视角回顾了国外城市农业的发展历程,进而基于文献证据,论述了城市农业在环境、社会和经济三个维度上的潜在效益,并以特拉维夫市的绿色城市项目为例,对城市农业多功能效益的具体表现予以鉴析。基于此,文章进一步指出中国在发展城市农业方面尚存在诸多技术缺口,为了应对城市化时代可能面临的重大挑战和缩小城市农业发展上的国内外差距,中国应在建立技术法规与标准体系、提升规划设计与实施水平、促进城市农业装备研发应用和加强多学科技术集成方面及早开展行动。     

基于MODIS数据的太湖浮游植物物候变化及其对水表温度的响应

浮游植物物候能够反映浮游植物的生长变化与湖泊生态系统的变化,水温、营养盐浓度等因素对物候有重要影响。太湖富营养化程度较高,水温的影响作用日趋显著,物候与水温关系的研究对理解、控制和改善太湖生态系统具有重要意义。本研究利用2003—2018年MODIS遥感数据计算浮游植物物候指标和湖泊水表温度（Temperature of Water Surface,LSWT）,通过分析太湖浮游植物物候时空变化特点探究了不同区域的物候特征,并结合LSWT揭示了浮游植物物候对LSWT变化的响应关系。结果表明：① 不同浮游植物物候指标具有不同空间分布特点,水华发生次数、峰值叶绿素a（Chla）浓度和水华总持续时间呈现由西部沿岸向湖心区递减的趋势;浮游植物生长开始时间和峰值Chla发生时间分布复杂但在沿岸区域相对较早;② 太湖可被划分为4种具有不同物候特征的区域,Ⅰ类区域主要位于贡湖湾、东部沿岸以及太湖中部开阔水域,该区Chla浓度范围为50~60 μg/L,且波动平缓,水华发生次数最少、开始最晚、持续时间最短;Ⅱ类区域主要分布于太湖西部沿岸,Chla浓度范围为50~90 μg/L且变化剧烈,该区水华发生次数最多、开始最早、持续时间最长;Ⅲ和Ⅳ类属于过渡区域,前者主要分布于梅梁湾、竺山湾及入湾口,后者主要位于南部沿岸以及太湖中部;③ 浮游植物物候对LSWT变化的响应受营养水平影响,当营养水平较高时,浮游植物的生长受LSWT的促进作用显著,LSWT年际变化的升高趋势对浮游植生长物候提前、生物量增加的影响明显,反之,则LSWT变化对浮游植物生长的影响减弱。     

System Reliability Analysis of an Offshore Jacket Platform

This study investigates strategies for solving the system reliability of large three-dimensional jacket structures.These structural systems normally fail as a result of a series of different components failures.The failure characteristics are investigated under various environmental conditions and direction combinations.Theβ-unzipping technique is adopted to determine critical failure components,and the entire system is simplified as a series-parallel system to approximately evaluate the structural system reliability.However,this approach needs excessive computational effort for searching failure components and failure paths.Based on a trained artificial neural network(ANN),which can be used to approximate the implicit limit-state function of a complicated structure,a new alternative procedure is proposed to improve the efficiency of the system reliability analysis method.The failure probability is calculated through Monte Carlo simulation(MCS)with Latin hypercube sampling(LHS).The features and applicability of the above procedure are discussed and compared using an example jacket platform located in Chengdao Oilfield,Bohai Sea,China.This study provides a reference for the evaluation of the system reliability of jacket structures.     

Modeling the environmental susceptibility of landfill sites in California

??The proper management of solid waste (SW) is a global environmental challenge. A major issue is the proper disposal of SW while balancing a wide range of criteria and working with different spatial data. In this study, we used geographic information system as a tool to perform multi-criteria decision analysis with an analytical hierarchy process to develop an environmental impact susceptibility model (EISM) for landfills. The model was applied to the state of California, USA and results are presented herein. In particular, the EISM considers factors such as geology, pedology, geomorphology, water resources, and climate as represented by 13 associated environmental indicators. The results of the EISM indicate that more than 75% of California’s territory is situated in areas with very low, low, and medium environmental impact susceptibility categories. However, in the remaining 25% of the state’s land, 61 landfills are located in the high and very high categories. These results are alarming because during the period from 2000 to 2015, these 61 landfills received approximately 308 million tons of SW, which corresponds to more than 57% of all SW disposed in California. The model results can be used toward mitigating the environmental impacts of these facilities.     

Response of a Resilient Community to Natural Disasters: The Gorkha Earthquake in Nepal, 2015

The ability of a community to withstand and recover from adversities including natural and man-made disasters has emerged as a major policy issue in recent years. This research aims to assess the role of institutional initiatives in building resilient communities and their response to natural disasters like the Gorkha earthquake in Nepal in 2015. The work is based on data collected from primary and secondary sources along with field observations. It is evident that resilient communities are equipped with greater coping capacities in the face of natural disasters and have reduced vulnerability to future hazards. Institutional capacity building and resilient construction including the School Earthquake Safety Program ensured better disaster preparedness. The traditional open spaces and building designs added to the structural resilience. There is, however, a need to build back better and to communicate earthquake-resistant designs to the affected communities.