应对气候变化法的立法探究

为了实现碳排放达峰目标和碳中和愿景,明确应对气候变化的法律地位、工作目标和法律要求,规定部门职责及温室气体排放权的法律属性与交易机制,分解工作目标并开展评价考核,彰显国家应对气候的法治决心,亟须制定综合性基础法律——应对气候变化法。该法的制定已具备充足的研究起草基础和下位法支撑,建议尽快纳入全国人大常委会立法计划,并启动《环境保护法》等相关法律的修改。本文建议,将低碳发展和碳排放达峰、碳中和等纳入立法目的,设立总则、规划与标准、气候变化减缓、气候变化适应、管理和监督、国际合作、法律责任、附则八章,合理设立规范重点。健全统一监管与部门分工负责的体制和基金筹集、市场交易、社会共治等机制,全面构建国内应对气候变化管理制度体系,部署国际协商与合作措施,设置地方政府工作目标责任,对违法行为规定罚则。     

基于水量变化的塔里木河统一管理成效评价

为科学明确评价塔里木河统一管理成效,论文基于源流及干流的来水与耗水量数据,利用非参数检验、周期叠加模型等构建人类活动对源流区水量影响分离模型,进而结合距平百分比和变异系数等参数,对比分析统一管理措施对塔里木河利用管理水平的影响,结果表明：1）人类活动对源流区水资源的影响程度在1994—2001、2002—2010、2011—2013年呈减弱趋势,流域过度引水的现象得到一定的好转,源流区水资源利用水平和管理效能提高;2）实施统一管理后,干流来水保证度提高,干流来水距平百分比的变异系数由-4.67减小至0.33,源流与干流来水距平百分比差异的平均值由-19.6%变为-4.9%,且源流干流来水差异值累积距平曲线由上升转为下降,源流和干流来水的波动性减弱,尤其是干流来水波动性要弱于源流,同时源流及干流来水更具协调性,管理部门对塔里木河径流的调度和管控能力明显提升,统一管理成效显著。     

Optimal timing of carbon capture policies under learning-by-doing

Using a standard Hotelling model of resource exploitation, we determine the optimal energy consumption paths from three options: dirty coal, which is non-renewable and carbon-emitting; clean coal, which is also non-renewable but carbon-free thanks to carbon capture and storage (CCS); and solar energy, which is renewable and carbon-free. We assume that the atmospheric carbon stock cannot exceed an exogenously given ceiling. Taking into account learning-by-doing in CCS technology, we show the following results: (i) clean coal exploitation cannot begin before the outset of the carbon constrained phase and must stop strictly before the end of this phase; (ii) the energy price path can evolve non-monotonically over time; and (iii) when the solar cost is low enough, an unusual energy consumption sequence along with solar energy is interrupted for some time and replacement by clean coal may exist.     

Historical evidence of climatic variability and changes,and its effect on high-altitude regions: insights from Rara and Langtang,Nepal

ABSTRACT

Climatic variability and its effects have been experienced in the high-altitude regions of Nepal for some considerable time. Most of the studies on local people’s perception available so far in Nepal on climate include with respect to weather changes, and almost none have been verified with satellite imagery. This study thus attempts to combine meteorological and satellite imagery for comparing local people’s perception so that a more robust validation can be established. Both qualitative (transect walk, key informant interview, focus group discussion and institutional visit) and quantitative (meteorological and satellite image) data and techniques were employed. Local people from Rara and Langtang in Nepal shared their observations and perceptions on the changing climate for the last three decades and the effects on them and their local microclimate. Apart from temperature, rainfall and snowfall anomalies, locals observed changes in the water sources and increasing drought along with alteration in the phenology of tree and agricultural crops as well as vegetation range migration. Satellite image analysis also confirms a change in snow cover as notified by the local people. This study shows that local people’s knowledge could be considered as a complement to the observed scientific evidences of climate change science and their perceptions can be used reliably where scientific data are lacking. Finally, perceived climatic risks, current gaps and future opportunities are discussed and some recommendations are suggested.     

Climate variability,political crises,and historical population displacements in Ethiopia

Abstract

El Niño events from the 1970s through the 1990s caused extended droughts in Ethiopia. These droughts were followed by famine and political turmoil that resulted in radical changes of government, secession, and a massive program of population redistribution. Cartographic analysis of Ethiopian census data from 1984 and 1994 shows changes in demographic patterns. The consequences of government-imposed migration policies, whose catalyst was the climate variability caused by repeated El Niño events, were changes in the ethnic composition of certain Ethiopian regions and changes in the geographic pattern of population growth.     

Analysis of the global warming dynamics from temperature time series

Global warming is the observed increase of the average temperature of the Earth. The primary cause of this phenomenon is the release of the greenhouse gases by burning of fossil fuels, land cleaning, agriculture, among others, leading to the increase of the so-called greenhouse effect. An approach to deal with this important problem is the time series analysis. In this regard, different techniques can be applied to evaluate the global warming dynamics. This kind of analysis allows one to make better predictions increasing our comprehension of the phenomenon. This article applies nonlinear tools to analyze temperature time series establishing state space reconstruction and prediction. Since noise contamination is unavoidable in data acquisition, it is important to employ robust techniques. The method of delay coordinates is employed for state space reconstruction and delay parameters are evaluated using the method of average mutual information and the method of false nearest neighbors. Afterwards, the simple nonlinear prediction method is employed to estimate temperatures of the future. Temperature time series from different places of the planet are used. Initially, the approach is verified considering known parts of the time series and afterwards, results are extrapolated for future values estimating temperature until 2028. Results show that these techniques are interesting to estimate temperature time history, presenting coherent estimations.     

Transformative climate change adaptation: bridging existing approaches with post-foundational insights on justice

ABSTRACT

Climate adaptation is a complex policy domain, spanning multiple sectors, scales and actors, and wherein those most at risk have the least power. The influence of linear positivist models of science uptake are proving ineffective in a world with increasingly concentrated wealth and power, institutional barriers, and rapidly growing risks facing the many. A plurality of approaches is needed to better examine those dynamics of climate adaptation which are often invisible in models of science uptake – equity, the value of contestation, path dependency – and to consider how to empower communities to find solutions. In this conceptual paper, we argue that bridging existing positivist and interpretivist methods with insights from post-foundational theory so as to underpin pluralism and re-orient ethical principles of justice, strengthens the capacity of social research to support transformative climate adaptation. Principles are proposed to facilitate such bridging.     

Vulnerability assessment and adaptation to the impacts of sea level rise on the Kingdom of Bahrain

This paper assesses quantitatively the impact of sea level rise (SLR) at the global and regional scale as a result of climate change (CC) on the coastal areas of the Kingdom of Bahrain’s islands (36 Islands). The standard Intergovernmental Panel on Climate Change (IPCC) guidelines was modified as appropriate for the situation of the study area. Geographic Information Systems (GIS) coupled with Remote Sensing (RS) were used as the main techniques of collecting, analyzing, modeling simulating and disseminating information to build SLR scenarios in a geographically referenced context. Also, these tools were used to assess vulnerability and risk of the coastal area of the islands with the expectation that coastal planner and government authorities will profit from integrating these knowledge into a broad based environmental decision making. Three SLR scenarios: low, moderate and high were developed to examine the impacts from SLR on all islands. The low SLR scenario (Optimistic) assumes a 0.5-m rise above current sea level, the moderate scenario (Intermediate) assumes a one meter rise, and the high scenario (Pessimistic) assumes a 1.5 m rise in sea level. Two more SLR scenarios were assumed to perform risk analysis, a 2 and 5 meter rise above current sea level. The simulation of SLR are quite straightforward, emphasizing on the uses of both of the data that are incorporated from the satellite images and the created Digital Elevation Model (DEM) to estimate SLR scenarios that are adapted in the study. These data were used to predict consequences of the possibility of the rise in sea level at different scenarios which may alter the landuse and patterns of human communities. Results indicate that low-lying coastal areas of Bahrain islands are at risk from the effects of any SLR resulting from CC. These islands are vulnerable under different SLR Scenarios. More than 17% of the country total area may be inundated under 1.5 m SLR in 2100. The total area that might be lost under different sea level scenarios will vary from more than 77 km² if SLR reaches 0.5 m, to about 100 km² under 1.0 m SLR and may reach 124 km² under 1.5 m SLR scenario. The total inundated areas due to risk scenarios will reach 133 km², if the SLR rises to 2.0 m, and it is estimated to be more than (22%) of the main island total area. Under the second scenario, if the SLR reaches 5.0 m, the main islands will lose approximately half of its area (47%) equal to 280 km². Hawar islands group will lose about (30%) of its total area under 2.0 m SLR, which is about 15.5 km².A SLR adaptation policy framework (APF) and adaptation policy initiatives (APIs) are suggested for planners to build upon for reducing the likely effects of SLR in the Kingdom of Bahrain. The framework is composed of four steps namely, acquisition of information, planning and design, implementation and monitoring and evaluation. A general policy framework for a national response to SLR is suggested. Additionally, a range of policy adaptation options/initiatives to sustain coastal developments under the likely effects of SLR are recommended.     

Impact of bioenergy crops in a carbon dioxide constrained world: an application of the MiniCAM energy-agriculture and land use model

In the coming century, modern bioenergy crops have the potential to play a crucial role in the global energy mix, especially under policies to reduce carbon dioxide emissions as proposed by many in the international community. Previous studies have not fully addressed many of the dynamic interactions and effects of a policy-induced expansion of bioenergy crop production, particularly on crop yields and human food demand. This study combines an updated agriculture and land use (AgLU) model with a well-developed energy-economic model to provide an analysis of the effects of bioenergy crops on energy, agricultural and land use systems. The results indicate that carbon dioxide mitigation policies can stimulate a large production of bioenergy crops, dependent on the level of the policy. This production of bioenergy crops can lead to several impacts on the agriculture and land use system: decreases in forestland and unmanaged land, decreases in the average yield of food crops, increases in the prices of food crops, and decreases in the level of human demand of calories.

Impacts of climate change and CO2 increase on agricultural production and adaptation options for Southern Québec, Canada

This study involves the assessment of the potential impacts of greenhouse gas climate change and changing ambient carbon dioxide (CO₂) levels on crop yields in Quebec, Canada. The methodology involves coupling the transient diagnostics of two Atmosphere-Ocean General Circulation Models, namely the Canadian CGCM1 and the British HadCM3, to the Decision Support System for Agrotechnology Transfer (DSSAT) 3.5 crop models to simulate current (1961–1990) and future (2040–2069) crop yields and changes. This is done for four different crop species, namely spring wheat, maize, soybean, and potato, and for seven agricultural regions of Southern Quebec. The results of this study focus on the main causative factors influencing crop yields, namely the direct CO₂ fertilization effect, the influence of the increase in growing season temperature, including optimal thermal conditions and acceleration in crop maturation, soil moisture availability, as influenced by precipitation and evapotranspiration, and nitrogen uptake by crops. Our results show that crop yield changes may vary according to climate scenario, crop species, and agricultural region. Consistent with other similar research, it would seem that these multiple causative factors very often seem to cancel each other out and dilute the impacts of climate change on crop yields.