Distributed process modeling for regional assessment of coastal vulnerability to sea-level rise

Sea-level rise involves increases in the coastal processes of inundation and erosion which are affected by a complex interplay of physical environmental parameters at the coast. Many assessments of coastal vulnerability to sea-level rise have been detailed and localised in extent. There is a need for regional assessment techniques which identify areas vulnerable to sea-level rise. Four physical environmental parameters – elevation, exposure, aspect and slope, are modeled on a regional scale for the Northern Spencer Gulf (NSG) study area using commonly available low-resolution elevation data of 10 m contour interval and GIS-based spatial modeling techniques. For comparison, the same parameters are modeled on a fine-scale for the False Bay area within the NSG using high-resolution elevation data. Physical environmental parameters on the two scales are statistically compared to coastal vulnerability classes as identified by Harvey et al. [1] using the Spearman rank-correlation test and stepwise linear regression. Coastal vulnerability is strongly correlated with elevation and exposure at both scales and this relationship is only slightly stronger for the high resolution False Bay data. The results of this study suggest that regional scale distributed coastal process modeling may be suitable as a first cut in assessing coastal vulnerability to sea-level rise in tide-dominated, sedimentary coastal regions. Distributed coastal process modeling provides a suitable basis for the assessment of coastal vulnerability to sea-level rise of sufficient accuracy for on-ground management and priority-setting on a regional scale.     

An Analysis with the CERT Model of the FSU Market Power in the Carbon Emissions Trading Market

This paper aims to assess the consequences of the amendments made to the Kyoto Protocol during COP 7 in Marrakech. The major issue of hot air and CDM transaction costs is examined using the CERT model to show that primary supply regions, typically those with hot air availability, might control the emissions reduction permit supply market and maximise net export revenues of permit supply by withholding 40 to 60% of available hot air credits. The assumption that primary permit suppliers control permit price via a restriction of hot air supply to the market will inadvertently leave a portion of the market share open to non-Annex B CDM supply, despite potentially extreme variance in CDM transaction costs. A summary table of policy implications on the emissions reduction permit market is also included.     

中国区域生态效率的时空演变及空间互动特征

现有研究主要关注生态效率的测算,对生态效率的空间互动特征缺乏相应地分析。采用考虑非期望产出的SBM模型对中国30个省级行政区2005—2015年生态效率进行测度,并在此基础上利用空间自回归模型考察中国区域生态效率的空间互动特征。结果表明：（1）中国高生态效率区主要分布在沿海发达省份,而低效率区则主要分布在欠发达省份。（2）在全国层面,基于经济权重矩阵得到的空间自回归系数为正且显著,表明区域生态效率存在正向的空间互动效应。（3）分样本估计中,发达和欠发达地区样本的空间自回归系数均大于全样本估计得到的空间自回归系数,故发达和欠发达地区内部的空间互动效应强于发达和欠发达地区之间的空间互动效应,呈现出“群分效应”。     

青藏高原及周边区域沙尘气溶胶三维分布和传输特征

利用MERRA-2再分析资料和CALIPSO星载激光雷达产品,分析了1980—2017年青藏高原和塔克拉玛干沙漠上空沙尘气溶胶的分布和传输特征.对比了MERRA-2与AERONET及MISR的气溶胶光学厚度（AOD）产品,其相关系数分别为0.809和0.776.基于MERRA-2资料分析表明,研究区域沙尘光学厚度（DAOD）按春、夏、秋、冬季依次递减.塔克拉玛干沙漠和青藏高原地区DAOD均在5月达最高值.青藏高原北部DAOD比南部高0.06~0.10,两地区的DAOD值差异在5月最高.自2000年开始,塔克拉玛干沙漠和印度恒河平原DAOD高值区强度和影响范围显著增大,对青藏高原的沙尘输送增强,印度沙尘对青藏高原的影响显著增加.CALIPSO观测表明,青藏高原上空的沙尘主要来自塔克拉玛干沙漠,传输量春季最大,秋、冬季最小;部分来自印度恒河平原,传输主要发生在夏、秋季.塔克拉玛干沙尘通过柴达木盆地向青藏高原传输,最远可至30°N,传输高度在4~8 km.冬季青藏高原上空的沙尘主要来自柴达木盆地.塔克拉玛干沙漠和青藏高原的最大气溶胶消光系数廓线分别出现在春季和夏季.塔克拉玛干沙漠和青藏高原地区沙尘层厚度多年平均值分别为1.00和0.82 km.2007—2017年,塔克拉玛干沙尘层厚度呈下降趋势,年下降率为0.018 km.青藏高原沙尘层厚度春季最大,冬季次之,夏季最小;沙尘层厚度年变化趋势不显著.     

节能环保产业发展现状剖析对中国的启示与研究

随着全球经济的飞速发展,经济受资源和环境约束的矛盾接近临界。而人们对环境质量的需求不断上升,在此大背景下,节能环保产业应运而生。在介绍国际节能环保产业和分析中国节能环保产业现状的基础上,分析融资渠道不够畅通,市场活力有待激发,资本市场亟待完善,产业创业还需推进等一系列制约中国节能环保产业发展的问题,并从理清管理体制,畅通融资渠道,健全资本市场,推进产业创业等方面给出了建议。     

区域大气环境容量及其区域配置研究

以重庆市涪陵区为例,在了解区域大气环境功能区划及区域大气环境质量现状的前提下,采用A-P值法,对涪陵区十三五期间大气环境容量进行研究,并对辖区内的污染负荷进行预测,在此基础上,对大气污染总量控制指标进行分配.研究结果表明,在涪陵区化工园区的二氧化硫排放量已达到或超过总量控制指标,需要制定削减计划,新兴工业园区污染物排放量虽远小于总量控制指标,但根据城市发展规划需进行结构优化与合理布局.     

基于区域梯度式学习情景的长江经济带环境治理研究

长江经济带作为国家重大战略,面临开发与保护的巨大挑战,构建科学、高效的生态环境保护机制为其保驾护航成为重中之重。作为一个流域式生态共同体,区域统筹协调下的生态环境保护和治理是根本关键。本研究导入区域协同治理理念,提出构建梯度式渐进学习环境协同治理框架,并采用数据进行长江经济带环境污染治理的多情景测度与评价实证检验了梯度间以及梯度内部的环境保护与污染治理协调机制的潜在影响。最终,从中央、区域和地方三个层面提出梯度式学习视野下长江经济带环境治理策略。     

Measuring the welfare cost of air pollution in Shanghai: evidence from the housing market

The purpose of this study is to quantify the marginal willingness to pay (MWTP) for clean air in China. We provide the first estimate of MWTP for clean air by implementing a hedonic method using housing price and air quality data from Shanghai. Our estimates imply that air pollution has a significant and negative impact on housing price. We also find that the willingness to pay for better air quality varies significantly across different income groups. This paper helps to deepen our understanding of the economic impacts of air pollution in emerging Asian metropolises where residents are suffering from the most severe respiratory health problems.     

Mercury: The good, the bad, and the export ban

We analyze the bipartisan call to ban US exports of commodity mercury. An export ban can generate positive environmental benefits by increasing the scarcity of mercury in developing economies where significant toxic releases occur. We show, however, that a direct mercury purchase and retirement policy can achieve the same foreign environmental goals without adverse impacts on domestic environmental quality. We present qualitative and quantitative evidence that highlight the potential inefficiencies of a mercury export ban as a method of achieving environmental objectives.     

论川南旅游资源的开发

本文对川南旅游开发的导向、人才与资金准备及产业协调等问题进行了探讨，提出了川南旅游资源地域开发的时空模式，建议加强重点景区的资源保护与开发建设，提倡生态旅游