Uncovering context-induced status quo effects in choice experiments

In this study five design dimensions are varied systematically investigating context-induced status quo effects in choice experiments. Additionally, two structural complexity measures, entropy and the number of attribute level changes, are used to capture status quo effects from the similarity between alternatives and the number of trade-offs. A crucial finding is that the frequency of status quo choices is negatively associated with the number of alternatives indicating preference matching effects. By contrast, the probability of choosing the status quo increases with a higher number of choice tasks, a wider level range, and the similarity between alternatives. Status quo choices are further affected by the current environmental situation perceived by respondents. We also find that marginal and non-marginal welfare estimates are significantly affected by the choice design. One key finding is that the most used choice task format in environmental economics, i.e., two hypothetical and a status quo alternative, is likely to increase the propensity to choose the status quo option.     

Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management

Choice experiment surveys are commonly used to assess the general public׳s willingness to pay for different levels of environmental quality. However, respondents need to understand what they are valuing or they will make potentially wrong assumptions based on different experiences and frames of reference. Three-dimensional computer generated models or Virtual Environments (VE) have so far seen little use in economics research, probably due to the complexity and cost of developing and delivering them to study participants. The few studies that have used them find that VE are superior to static image presentations in helping people evaluate complex data. For this study we developed virtual environments for a choice experiment about coastal erosion management using free, easy-to-use software and Google Earth© satellite imagery and presented these to respondents as video tours. Our results indicate that the VE treatment reduced choice error, reduced left-right bias and improved respondent engagement and retention when compared with static images. There were also differences in WTP between the two groups.     

Eliciting preferences for wetland services: a way to manage conflicting land uses

A choice experiment was used to analyse the preferences of residents neighbouring the Erstein polder (Alsace, France) for the different services that it provides. The heterogeneous nature of these preferences was shown through the use of a latent class model. Whilst the population as a whole values the improvement in water quality and the contribution, even partial, to flood protection, preferences differ when it comes to biodiversity and public access to the site. This study shows the potential conflicts between the different uses of the Erstein polder. These conflicts represent different communication themes for the site managers.     

Evaluation of the effect of meteorological data resolution on Lagrangian particle dispersion simulations using the ETEX experiment

This paper presents results from a series of numerical experiments designed to evaluate operational long-range dispersion model simulations, and to investigate the effect of different temporal and spatial resolution of meteorological data from numerical weather prediction models on these simulations. Results of Lagrangian particle dispersion simulations of the first tracer release of the European Tracer Experiment (ETEX) are presented and compared with measured tracer concentrations. The use of analyzed data of higher resolution from the European Center for Medium-Range Weather Forecasts (ECMWF) model produced significantly better agreement between the concentrations predicted with the dispersion model and the ETEX measurements than the use of lower resolution Navy Operational Global Atmospheric Prediction System (NOGAPS) forecast data. Numerical experiments were performed in which the ECMWF model data with lower vertical resolution (4 instead of 7 levels below 500 mb), lower temporal resolution (12 h instead of 6 h intervals), and lower horizontal resolution (2.5° instead of 0.5°) were used. Degrading the horizontal or temporal resolution of the ECMWF data resulted in decreased accuracy of the dispersion simulations. These results indicate that flow features resolved by the numerical weather prediction model data at approximately 45 km horizontal grid spacing and 6 h time intervals, but not resolved at 225 km spacing and 12 h intervals, made an important contribution to the long-range dispersion.     

Household willingness to pay for stream restoration on private and public land: Evidence from the Baltimore metropolitan region

Stream restoration is one of the most widely used interventions to mitigate urban stormwater impacts and improve water quality. Government agencies have typically focused urban stream restoration efforts on public lands that they already own, even though a substantial portion of stream miles in highly urbanized areas occur on privately owned land. Yet, limited research exists to distinguish household willingness to pay (WTP) for stream restoration occurring on private versus public land. In this study, we use a choice experiment to analyze how household WTP for stream restoration attributes vary by land ownership and distance to the restoration project. Our empirical results indicate that streambank stabilization approaches have positive WTP estimates that are substantially larger in magnitude than those related to riparian vegetation management for clearing or planting trees. In general, estimated total household WTP for each of the four restoration design scenarios on public land is higher than when the same restoration design is located on private land. Nonetheless, estimated household WTP for each restoration design scenario on private land is substantial, retaining the majority of the value found on public land in all cases.     

重庆地下热水径流特征研究

重庆地下热水资源丰富,但对其径流特征缺乏研究,盲目开采致使许多温泉泉流量减小、水温降低,甚至断流、枯竭。为指导地下热水的科学开采,文章对重庆地下热水的常规化学组分及同位素组分特征进行了研究,分析了地下热水补给、径流条件,指出大气降水为其补给源,补给区在重庆以北大巴山及华莹山背斜华莹山和铜锣峡背斜北端的岩溶露头区,嘉陵江组(T1j)为其储水层,地下热水主要沿背斜T1j地层由北往南流,同一背斜地下热水由北到南为一个统一的热水系统。     

反硝化真菌-细菌优化组合及其脱氮能力研究

从多种真菌中筛选到3株脱氮活性较高的真菌,并将其与一株从武汉市郊新筛选分离到的具有较强脱氮能力的细菌HS-03进行混和培养,通过正交实验确立其最佳培养条件。正交实验方差分析表明:碳源、pH值和温度3个因素对脱氮率的影响都非常显著,菌种因素对脱氮率有一定影响。实验结果表明,真菌与细菌混合脱氮的最佳培养条件为:以琥珀酸钠为碳源,NaNO3为N源,C/N为10,pH=7.5,温度30℃。细菌HS-03和真菌Fusariumoxyspurum的组合优于其它组合。在最佳培养条件下,该组合能在21h内去除10mmolNO3-,优于相同条件下细菌HS-03或真菌F.oxyspurum的反硝化能力。     

易分解碳输入模式对沉积物共代谢效应的影响

通过构建室内微宇宙系统,运用稳定碳同位素示踪法,解析混合处理组中各有机组分代谢释放的CO2含量,探讨相对易分解碳源的输入对湖泊沉积物有机碳矿化过程的影响.结果表明:添加相对易分解碳源的处理组中,CO2排放量明显升高,较对照组分别提高了45.49％(单次添加组)、52.61％(重复添加组)和57.65％(连续添加组),分...     

A field experiment with variable-suction multi-compartment samplers to measure the spatio-temporal distribution of solute leaching in an agricultural soil

Solutes spread out in time and space as they move downwards from the soil surface with infiltrating water. Solute monitoring in the field is often limited to observations of resident concentrations, while flux concentrations govern the movement of solutes in soils. A recently developed multi-compartment sampler is capable of measuring fluxes at a high spatial resolution with minimal disturbance of the local pressure head field. The objective of this paper is to use this sampler to quantify the spatial and temporal variation of solute leaching below the root zone in an agricultural field under natural rainfall in winter and spring. We placed two samplers at 31 and 25 cm depth in an agricultural field, leaving the soil above undisturbed. Each sampler contained 100 separate cells of 31 × 31 mm. Water fluxes were measured every 5 min for each cell. We monitored leaching of a chloride pulse under natural rainfall by frequently extracting the collected leachate while leaving the samplers buried in situ. This experiment was followed by a dye tracer experiment. This setting yielded information that widely surpassed the information that can be provided by separate anionic and dye tracer trials, and solute transport monitoring by coring or suction cups. The detailed information provided by the samplers showed that percolation at the sampling depth started much faster (approximately 3 h after the start of rainfall) in initially wet soil (pressure head above − 65 cm) than in drier soil (more than 14 h at pressure heads below − 80 cm). At any time, 25% of the drainage passed through 5–6% of the sampled area, reflecting the effect of heterogeneity on the flow paths. The amount of solute carried by individual cells varied over four orders of magnitude. The lateral concentration differences were limited though. This suggests a convective–dispersive regime despite the short vertical travel distance. On the other hand, the dilution index indicates a slight tendency towards stochastic–convective transport at this depth. There was no evidence in the observed drainage patterns and dye stained profiles of significant disturbance of the flow field by the samplers.