Policy instruments for addressing construction equipment emission——A research review from a global perspective

Policy instruments have been initiated for addressing the severe problem of extensive construction equipment emissions (CEE) by governments around the world. Advanced and developing-economy promoters with distinctive background and constraints present differences in the development of CEE reduction policy instruments. However, there is little research looking into the evolving trends, lessons and accumulated experiences in the development of CEE reduction policy instruments. This study conducts a holistic review and analysis on the development of CEE reduction policy instruments from a global perspective. Three groups of policy instruments are identified, including the mandatory administration policy instrument (PI-A), the economic incentive policy instrument (PI-B), and the voluntary participation policy instrument (PI-C). Comparative analysis of CEE reduction policy instruments is conducted between advanced and developing-economy promoters. The results of this study show that both advanced and developing-economy promoters overwhelmingly prefer to adopt PI-As. Developing-economy promoters may not have sufficient resources for implementing PI-Bs and PI-Cs. Advanced-economy promoters have devoted more efforts to developing PI-Bs and PI-Cs. This research also suggested that a mixture of PI-As, PI-Bs and PI-Cs works better, and policy instruments should be selected considering the context of promoters. This research aims to promote experience-sharing between policymakers and provide them with significant insights for formulating more effective CEE reduction policy instruments.     

Combining policy instruments for sustainable energy systems: An assessment with the GMM model

An assessment of the impact of an illustrative portfolio of policy instruments that address different sustainability concerns in the global energy system in areas of climate change, air pollution and introduction of renewable-energy resources is conducted. The effects of a policy set containing three instruments, implemented either individually or in combination, were examined. The policy instruments under examination in this work include: Cap-and-Trade policies imposing a CO₂ emission reduction target on the global energy system, a renewable portfolio standard that forces a minimum share of renewable electricity generation, and the internalisation of external costs of power generation associated with local pollution. Implementation of these policy instruments significantly changes the structure and environmental performance of the energy sector, and particularly the structure of the electric-generation sector. The positive effects are amplified when the policy instruments are simultaneously applied, illustrating the potential for synergies between these energy-policy domains. The analysis has been conducted with the multi-regional, energy-system Global MARKAL Model (GMM), a “bottom-up” partial-equilibrium model that provides a detailed representation of energy technologies and endogenizes technology learning. ^★A preliminary version of this paper has been presented at the 6th IAEE European Energy Conference on “Modelling in Energy Economics and Policy”, 1–3 September 2004, ETH Zürich, Switzerland.     

Modelling of Materials Policies

This paper discusses the REAP1 model and its application for the analysis of CO₂ reduction and waste management policies for Japanese petrochemicals. The pros and cons of this modelling approach in comparison to other tools is elaborated. This is followed by a discussion of the model code and the modelling results. The results show that CO₂ policies can have significant impacts on waste flows and waste policies can have significant CO₂ benefits. As a consequence both effects must be considered in policy assessment. Pricing instruments are recommended instead of regulations because of the complex physical relations in the materials life cycle that extend beyond sector boundaries. A taxation approach is superior to a subsidy approach because rebound effects can be avoided.     

Capability Maturity Model (CMM) method for assessing the performance of low-carbon city practice

Carbon emissions are considered as major factor affecting sustainable urban development. Cities have been promoting low carbon city (LCC) strategies to reduce carbon emissions and various methods have been introduced to assess the performance of LCC strategies. However, most of the existing assessment methods focus on overall LCC performance at city level, but the effects of individual dimensions like industrial structure and energy efficiency are ignored. The research question in this study therefore is whether an alternative method can be established to measure both the overall and dimensional LCC performance. This paper introduces a method for assessing LCC performance by using Capability Maturity Model (CMM), which is called LCC-CMM. The proposed method of LCC-CMM can help identify LCC maturity grade through assessing the performance of individual LCC dimensions which contributes to overall performance. There are four procedures in applying LCC-CMM, including to identify the Key Process Areas (KPAs) in the context of LCC, denoted as LCC-KPAs, to define the indicators for measuring the performance of LCC-KPAs, to calculate the performance score for each LCC-KPA, and to define criteria for specifying different grades of LCC capability maturity. The proposed method is proven effective through a case demonstration. The method can help policy makers to identify weak areas in LCC practice and introduce tailor-made policy measures to improve the weak areas.     

Benchmarking environmental and economic impacts from the HSR networks considering life cycle perspectives

This paper unprecedentedly benchmarks the environmental and economic impacts of notable High-speed rail (HSR) networks. The goals are to (i) point out the environmental impacts from the HSR networks and (ii) evaluate the whole life cycle cost of HSR systems. The emphasis of this study is placed on five HSR networks from five countries to depict the effectiveness of sustainable transport policies in each particular country. Both life cycle assessment (LCA) and life cycle cost (LCC) models are adopted for a new critical framework capable of benchmarking the lifecycle sustainability of HSR networks. The new findings exhibit that CRC's system is the leader in energy-saving, who consumes only 67.55 GJ/km yearly, and emits lowest CO₂ at an amount of 77,532.32 tCO₂/km annually. These impressive results are stemmed from key enabling policies related to eco-friendly rolling stock design, sustainable construction, and green energy grids. With respect to the LCC analysis, the SCNF network takes advantage in the economy of scale and unleashes the lowest cost among other networks. It estimates that the SNCF network spends approximately 1,990,599.51 £/km annually at a % discount rate. The implications of these finding are discussed that the initial project has a high chance to be successful on economic than the late project due to an influence of the time value of money.     

Assessment of the Health Impacts of Particulates from the Redevelopment of Kings Cross

The Kings Cross/St. Pancras area has been a rail transport hub from Central London to the Midlands and North Eastern England since the middle of the nineteenth century and dust from the Kings Cross railway lands was even described by Charles Dickens.¹ The Channel Tunnel high speed Rail Link (CTRL) is being constructed between 2001 and 2007 to connect continental Europe to Central London. The CTRL and associated development will help regenerate an area that is surrounded by deprived high density housing estates. London Borough of Camden has set up an extensive particulate monitoring programme to determine if there are any health impacts on local residents from emissions from the demolition and construction work. This article assesses the results from particulate measurements in 2003–2004 and compares this to baseline conditions before the redevelopment work began. The evidence suggests that although 2003 had higher than average pollution levels in the UK as a whole, even higher levels of particulates in the size range PM₁₀–PM_2.5 (defined as PM_coarse) were measured in Kings Cross. Due to the size of these particulates, they tend to be released from construction works rather than transport or secondary particulate sources. Concentrations in 2004 were lower than 2003, but this was primarily due to meteorological conditions. The paper also looks at the health of the local population and discusses whether these elevated levels are creating a problem and legally constitute a statutory nuisance. The Council continues to work with the contractors to try and ensure best practical means to minimise dust emissions and their effect on local residents. ¹Our Mutual Friend     

Attribution of aerosol light absorption to black carbon and volatile aerosols

We investigated the contribution of volatile aerosols in light-absorption measurement by three filter-based optical instruments [aethalometer, continuous light-absorption photometer (CLAP), and continuous soot monitoring system (COSMOS)] at Gosan Climate Observatory (GCO) from February to June 2012. The aerosol absorption coefficient (σ _abs) and the equivalent black carbon (BC) mass concentration (M _BC) measured by the aethalometer and CLAP showed good agreement with a difference of 9 %, which is likely due to the instrumental uncertainty. However, σ _abs and M _BC measured by the COSMOS with a heated inlet were found to be approximately 44 and 49 % lower than those measured by the aethalometer and CLAP under ambient conditions, respectively. This difference can be attributed to the light absorption by the volatile aerosols coexisting with the BC. Even considering inherent observational uncertainty, it suggests that approximately 35–40 % difference in the σ _abs and M _BC can be contributed by volatile aerosols. Increase in the difference of M _BC measured by the aethalometer and COSMOS with the increasing thermal organic carbon (OC) measured by Sunset OC/EC analyzer further suggests that the filter-based optical instruments without the use of a heater are likely to enhance the value of σ _abs and M _BC, because this sample air may contain both BC and volatile aerosols.     

Combining Stochastic Optimization and Monte Carlo Simulation to Deal with Uncertainties in Climate Policy Assessment

In this paper, we explore the impact of several sources of uncertainties on the assessment of energy and climate policies when one uses in a harmonized way stochastic programming in a large-scale bottom-up (BU) model and Monte Carlo simulation in a large-scale top-down (TD) model. The BU model we use is the TIMES Integrated Assessment Model, which is run in a stochastic programming version to provide a hedging emission policy to cope with the uncertainty characterizing climate sensitivity. The TD model we use is the computable general equilibrium model GEMINI-E3. Through Monte Carlo simulations of randomly generated uncertain parameter values, one provides a stochastic micro- and macro-economic analysis. Through statistical analysis of the simulation results, we analyse the impact of the uncertainties on the policy assessment.     

空气自动监测中PM2.5与PM10 “倒挂”现象特征及原因

采用不同原理的自动监测仪器在不同季节同时测定PM2.5与PM10,对所得数据中的PM2.5与PM10"倒挂"现象进行分析。结果表明,当PM10采用振荡天平法时,PM2.5与PM10的"倒挂"率较高;冬季和夏季"倒挂"现象发生率明显高于其他季节;造成PM2.5与PM10"倒挂"的原因主要有监测过程中的随机误差,PM2.5与PM10的监测方法原理不同,监测方法之间存在显著差异等。     

Optimal Control Models and Elicitation of Attitudes towards Climate Damages

This paper examines the consequences of various attitudes towards climate damages through a family of stochastic optimal control models (RESPONSE): cost-efficiency for a given temperature ceiling; cost-benefit analysis with a pure preference for current climate regime and full cost-benefit analysis. The choice of a given proxy of climate change risks is actually more than a technical option. It is essentially motivated by the degree of distrust regarding the legitimacy of an assessment of climate damages and the possibility of providing in due time reliable and non controversial estimates. Our results demonstrate that (a) for early decades abatement, the difference between various decision-making frameworks appears to matter less than the difference between stochastic and non stochastic approach given the cascade of uncertainty from emissions to damages; (b) in a stochastic approach, the possibility of non-catastrophic singularities in the damage function is sufficient to significantly increase earlier optimal abatements; (c) a window of opportunity for action exists up to 2040: abatements further delayed may induce significant regret in case of bad news about climate response or singularities in damages.     

Understanding the Price Dynamics in the Jiangsu SO2 Emissions Trading Program in China: A Multiple Periods Analysis

Because emissions permits can be considered to be a pseudo-commodity, the permit price in the emissions trading markets has already attracted great interest from the economic literature. This research took the Jiangsu sulfur dioxide (SO₂) emissions trading program in China as a case study to examine the price dynamics over the next 10 years (2011–2020) based on Jiangsu’s new SO₂ emissions trading policy design. An adaptive agent-based simulation model was developed to estimate the price dynamics as well as the impact of energy price, policy design, and new environmental regulation on the permit price. The results showed that the equilibrium price of the Jiangsu SO₂ emissions trading market is approximately 4.20 CNY/kg, and the permit price will fluctuate around this price if the other conditions are not changed. If the coal price increases during 2011–2016, the permit price will decline to 2.79 CNY/kg by 2020 under China’s current coal–electricity price mechanism. In addition, the banking mechanism will smooth the price fluctuations and the average permit price will be generally higher when banking is not allowed. Finally, the stricter environmental regulation will reduce the market supply of permits and will raise the permit price. According to China’s potential new SO₂ discharge standard, the permit price will jump to 11 CNY/kg. The quantification of the permit price dynamics can help power plants to make decisions on emissions trading.     

MODELING NITROGEN UPTAKE AND POTENTIAL NITRATE LEACHING UNDER DIFFERENT IRRIGATION PROGRAMS IN NITROGEN-FERTILIZED TOMATO USING THE COMPUTER PROGRAM NLEAP

Readily available nitrogen (N) sources such as ammonium nitrate with excessive irrigation present a potential hazard for the environment. The computer program Nitrate Leaching and Economic Analysis Package (NLEAP) is a mechanistic model developed for rapid site-specific estimates of nitrate-nitrogen (NO₃-N) moving below the root zone in agricultural crops and potantial impacts of NO₃-N leaching into groundwater. In this study, the value of NLEAP was tested to simulate N uptake by crops and NO₃-N leaching parameters in large lysimeters under the tomato crop. Three seedlings of tomato variety of H-2274 (Lycopersicum esculentum L.) were transplanted into each lysimeter. N fertilizer at the rate of 140 kg N ha^–1 was sidedressed in two split applications, the first half as ammonium sulphate and the second half as ammonium nitrate. The lysimeters were irrigated based on programs of C 0.75, 1.00, 1.25 and 1.50, C referring to class A-Pan evaporation coefficients. Parameters such as leaching index (LI), annual leaching risk potential (ALRP), N available for leaching (NAL), amount of NO₃-N leached (NL) and amount of N taken up by the crops (NU) were estimated using the NLEAP computer model. To test the ability of model to simulate N uptake and NL, measured values were compared with simulated values. Significant correlations, R² = 0.92 and P < 0.03 for the first year and R² = 0.86 and P < 0.06 for the second year, were found between measured and simulated values for crop N consumption, indicating that the NLEAP model adequately described crop N uptake under the varied irrigation programs using an optimal N fertilization program for the experimental site. Significant correlations, R² = 0.96 and P < 0.01 for the first year and R² = 0.97 and P < 0.01 for the second year, were also found between measured and simulated values of NL, indicating that the NLEAP model also adequately predicted NL under the varied irrigation programs. Therefore, this computer model can be useful to estimate the NO₃-N moving beyond the root zone under conditions in which the present experiment was carried out. Also, the NLEAP-estimated NAL values and other parameters can also be used to improve N management practices and N fertilizer recommendations that will help to decrease the adverse effect of N fertilizer on groundwater quality and farm profitability.     

The personal CO2 calculator: A modeling tool for Participatory Integrated Assessment methods

Participatory Integrated Assessment (PIA) is an approach which aims at developing methods which allow to combine evaluations of experts and lay people in the field of Integrated Assessment. Thus, policy recommendations derived from PIA exercises are informed by scientific judgments and by valuations of “non-scientists”. For any PIA methodology the provision of insights, facts and figures about the policy problem at hand is crucial. In this paper we describe a PIA methodology which combines the social science research instrument “focus group” with a specific computer information tool, the “Personal CO₂ Calculator” (PCC). The tool supports citizens in discussing and recommending measures on climate change policy. Based on our experiences, we plead for information instruments that are tuned to and assist concrete target groups with their specific interests. This helps that policy recommendations derived from PIA exercises are based on both scientific knowledge as well as citizens' and stakeholders' policy preferences. This revised version was published online in July 2006 with corrections to the Cover Date.     

Evolutionary game analysis of stakeholders' decision-making behaviours in construction and demolition waste management

Continuing industrial development has created large quantities of construction and demolition (C&D) waste, which has led to severe environmental and social problems. The aim of this study was to investigate the decision-making behaviours of stakeholders involved in C&D waste management. Based on evolutionary game theory, stakeholder decision-making behaviours in C&D waste management were analysed, and their influencing factors were identified, including government supervision costs, public participation costs, government penalties, government incentives, government supervisory intensity, probability of contractors conducting illegal dumping, probability of public participation, and probability of illegal dumping being detected. The results also revealed how government penalties and incentives impacted the decision-making behaviours of the contractors and public. Penalties and incentives can effectively reduce illegal C&D waste dumping behaviours, while excessive penalties and incentives have limitations in controlling illegal dumping. The model proposed in this research provides an experimental simulation platform to determine the appropriate values for government penalties and incentives for C&D waste management based on stakeholder decision-making behaviours. In addition, the research results for the stable strategy point of a three-party evolutionary game model demonstrated the importance of public participation in C&D waste management. These results may inform research hypotheses for future empirical studies and provide a simple model for developing appropriate government penalties and incentives in practice.     

Effect of dust load on the leaf attributes of the tree species growing along the roadside

Dust is considered as one of the most widespread air pollutants. The objective of the study was to analyse the effect of dust load (DL) on the leaf attributes of the four tree species planted along the roadside at a low pollution Banaras Hindu University (BHU) campus and a highly polluted industrial area (Chunar, Mirzapur) of India. The studied leaf attributes were: leaf area, specific leaf area (SLA), relative water content (RWC), leaf nitrogen content (LNC), leaf phosphorus content (LPC), chlorophyll content (Chl), maximum stomatal conductance (Gs_max), maximum photosynthetic rate (A _max) and intrinsic water-use efficiency (WUEi). Results showed significant effect of sites and species for DL and the leaf attributes. Average DL across the four tree species was greater at Chunar, whereas, the average values of leaf attributes were greater at the BHU campus. Maximum DL was observed for Tectona grandis at Chunar site and minimum for Syzygium cumini at BHU campus. Across the two sites, maximum value of SLA, Chl and Gs_max were exhibited by S. cumini, whereas, the greatest value of RWC, LNC, LPC, A _max and WUEi were observed in Anthocephalus cadamba. A. cadamba and S. cumini exhibited 28 and 27 times more dust accumulation, respectively, at the most polluted Chunar site as compared to the BHU campus. They also exhibited less reduction in A _max due to dust deposition as compared to the other two species. Therefore, both these species may be promoted for plantation along the roadside of the sites having greater dust deposition.     

Climate change decision-support and the tolerable windows approach

The Tolerable Windows Approach (TWA) to Integrated Assessments (IA) of global warming is based on external normative specifications of tolerable sets of climate impacts as well as proposed emission quotas and policy instruments for implementation. In a subsequent step, the complete set of admissible climate protection strategies which are compatible with these normative inputs is determined by scientific analysis. In doing so, minimum requirements concerning global and national greenhouse gas emission paths can be determined. In this paper we present the basic methodological elements of TWA, discuss its relation to more conventional approaches to IA like cost–benefit analyses, and present some preliminary results obtained by a reduced-form climate model.     

Air Quality Assessment in Delhi: Before and After CNG as Fuel

A number of policy measures have been activated in India in order to control the levels of air pollutants such as particulate matter, sulphur dioxide (SO₂) and nitrogen dioxide (NO₂). Delhi, which is one of the most polluted cities in the world, is also going through the implementation phase of the control policies. Ambient air quality data monitored during 2000 to 2003, at 10 sites in Delhi, were analyzed to assess the impact of implementation of these measures, specifically fuel change in vehicles. This paper presents the impact of policy measures on ambient air quality levels and also the source apportionment. CO and NO₂ concentration levels in ambient air are found to be associated with the mobile sources. The temporal variation of air quality data shows the significant effect of shift to CNG (Compressed Natural Gas) in vehicles.     

Temporal variation in total phosphorus concentrations revealed from a multidecadal monitoring program on Big Platte Lake,Michigan

Effective water quality management depends on enactment of appropriately designed monitoring programs to reveal current and forecasted conditions. Because water quality conditions are influenced by numerous factors, commonly measured attributes such as total phosphorus (TP) can be highly temporally varying. For highly varying processes, monitoring programs should be long-term and periodic quantitative analyses are needed so that temporal trends can be distinguished from stochastic variation, which can yield insights into potential modifications to the program. Using generalized additive mixed modeling, we assessed temporal (yearly and monthly) trends and quantified other sources of variation (daily and subsampling) in TP concentrations from a multidecadal depth-specific monitoring program on Big Platte Lake, Michigan. Yearly TP concentrations decreased from the late 1980s to late 1990s before rebounding through the early 2000s. At depths of 2.29 to 13.72 m, TP concentrations have cycled around stationary points since the early 2000s, while at the surface and depths ≥?18.29 concentrations have continued declining. Summer and fall peaks in TP concentrations were observed at most depths, with the fall peak at deeper depths occurring 1 month earlier than shallower depths. Daily sampling variation (i.e., variation within a given month and year) was greatest at shallowest and deepest depths. Variation in subsamples collected from depth-specific water samples constituted a small fraction of total variation. Based on model results, cost-saving measures to consider for the monitoring program include reducing subsampling of depth-specific concentrations and reducing the number of sampling depths given observed consistencies across the program period.     

Emissions of gaseous and particulate pollutants in a port and harbour region in India

Ports can generate large quantity of pollutants in the atmosphere due to various activities like loading and unloading,transportation, and construction operations. Determination of the character and quantity of emissions from individual sources is an essential step in any project to control and minimize the emissions.In this study a detailed emission inventory of total suspendedparticulate matter (TSP), particulate matter less than 10 m(PM₁₀), sulfur dioxide (SO₂) and nitrogen oxides (NO_x) for a port and harbour project near Mumbai is compiled. Results show that the total annual average contributions of TSP and PM₁₀ from all the port activitieswere 872 and 221 t yr^-1, respectively. Annual average emissions of gaseous pollutants SO₂ and NO_xwere 56 and 397 t yr^-1, respectively, calculatedby using emission factors for different port activities. The maximum TSP emission (419 t yr ^-1) was from paved roads, while the least (0.4 t yr^-1) was from bulk handling activity. The maximum PM₁₀ emission (123 t yr^-1) was from unpaved roads and minimum (0.2 t yr^-1) from bulk handling operations. Similarly the ratio of TSP and PM₁₀ emission was highest (5.18) from paved roads and least (2.17) from bulk handling operations. Regression relation was derivedfrom existing emission data of TSP and PM₁₀ from variousport activities. Good correlation was observed between TSP andPM₁₀ having regression coefficient >0.8.     

Joint prevention and control mechanism for air pollution regulations in China: A policy simulation approach with evolutionary game

China's environmentalism with autocratic characteristics has far-reaching effects for fighting air pollution effectively. Political blue sky is unsustainable because conflict of interest in China's authoritarian environmentalism leads to failure of joint prevention and control in air pollution regulations. This study aims to explore policy mechanisms that would integrate intergovernmental join efforts in air pollution control. A non-cooperative tripartite evolutionary game is employed to model the dynamic interactions among the central government, Beijing municipality, and local governments for fighting air pollution. A double-payment with dual-supervision mechanism is proposed for air pollution control in the Beijing-Tianjin-Hebei (BTH) region. Simulations are conducted to examine the effectiveness of air pollution regulations involving multiple policy instruments for yielding the ideal outcome. It is shown that appropriate coordination of these policy instruments can address the intergovernmental challenge in collective action against air pollution. In addition, two long-term scenarios per the Porter hypothesis are investigated regarding environmental tax reform and enterprise innovations. It is found that such long-term inspirations can improve regulatory flexibility and efficacy. The double-payment with dual-supervision mechanism can effectively engage all governmental stakeholders for promoting sustainable air pollution governance in China. From a methodology perspective, policy simulations in an evolutionary game framework provide a novel addition to the research toolkit for policy studies.