Accuracy Assessment of NOAA Gridded Daily Reference Evapotranspiration for the Texas High Plains

The National Oceanic and Atmospheric Administration (NOAA) provides daily reference evapotranspiration (ET_ref) maps for the contiguous United States using climatic data from North American Land Data Assimilation System (NLDAS). This data provides large‐scale spatial representation of ET_ref, which is essential for regional scale water resources management. Data used in the development of NOAA daily ET_ref maps are derived from observations over surfaces that are different from short (grass — ET_os) or tall (alfalfa — ET_rs) reference crops, often in nonagricultural settings, which carries an unknown discrepancy between assumed and actual conditions. In this study, NOAA daily ET_os and ET_rs maps were evaluated for accuracy, using observed data from the Texas High Plains Evapotranspiration (TXHPET) network. Daily ET_os, ET_rs and the climatic data (air temperature, wind speed, and solar radiation) used for calculating ET_ref were extracted from the NOAA maps for TXHPET locations and compared against ground measurements on reference grass surfaces. NOAA ET_ref maps generally overestimated the TXHPET observations (1.4 and 2.2 mm/day ET_os and ET_rs, respectively), which may be attributed to errors in the NLDAS modeled air temperature and wind speed, to which reference ET_ref is most sensitive. Therefore, a bias correction to NLDAS modeled air temperature and wind speed data, or adjustment to the resulting NOAA ET_ref, may be needed to improve the accuracy of NOAA ET_ref maps.     

Hydrogen sulfide generation in simulated construction and demolition debris landfills: impact of waste composition

Hydrogen sulfide (H2S) generation in construction and demolition (C&D) debris landfills has been associated with the biodegradation of gypsum drywall. Laboratory research was conducted to observe H2S generation when drywall was codisposed with different C&D debris constituents. Two experiments were conducted using simulated landfill columns. Experiment 1 consisted of various combinations of drywall, wood, and concrete to determine the impact of different waste constituents and combinations on H2S generation. Experiment 2 was designed to examine the effect of concrete on H2S generation and migration. The results indicate that decaying drywall, even alone, leached enough sulfate ions and organic matter for sulfate-reducing bacteria (SRB) to generate large H2S concentrations as high as 63,000 ppmv. The codisposed wastes show some effect on H2S generation. At the end of experiment 1, the wood/drywall and drywall alone columns possessed H2S concentrations > 40,000 ppmv. Conversely, H2S concentrations were < 1 ppmv in those columns containing concrete. Concrete plays a role in decreasing H2S by increasing pH out of the range for SRB growth and by reacting with H2S. This study also showed that wood lowered H2S concentrations initially by decreasing leachate pH values. Based on the results, two possible control mechanisms to mitigate H2S generation in C&D debris landfills are suggested.     

Urban stress and helping behavior: Effects of environmental overload and noise on behavior

The effects of environmental overload and noise on helping behavior is assessed through a 2 × 3 experimental design including two levels of environmental overload and three conditions on each site: without roadworks, roadworks without noise, and noisy roadworks.Results are analysed in terms of the cognitive appraisal of the situation and the narrowing of attention. The subject's behavior when confronted with explicit and implicit helping requests shows that noise appears to be the most important component of overload, affecting both the subjects' attentiveness in implicit helping demands, as well as the refusal to engage in verbal interaction.     

Assessment of water quality monitoring for the optimal sensor placement in lake Yahuarcocha using pattern recognition techniques and geographical information systems

Pollution and the eutrophication process are increasing in lake Yahuarcocha and constant water quality monitoring is essential for a better understanding of the patterns occurring in this ecosystem. In this study, key sensor locations were determined using spatial and temporal analyses combined with geographical information systems (GIS) to assess the influence of weather features, anthropogenic activities, and other non-point pollution sources. A water quality monitoring network was established to obtain data on 14 physicochemical and microbiological parameters at each of seven sample sites over a period of 13 months. A spatial and temporal statistical approach using pattern recognition techniques, such as cluster analysis (CA) and discriminant analysis (DA), was employed to classify and identify the most important water quality parameters in the lake. The original monitoring network was reduced to four optimal sensor locations based on a fuzzy overlay of the interpolations of concentration variations of the most important parameters.     

Use of phytoproductivity data in the choice of native plant species to restore a degraded coal mining site amended with a stabilized industrial organic sludge

Coal mining-related activities result in a degraded landscape and sites associated with large amounts of dumped waste material. The arid soil resulting from acid mine drainage affects terrestrial and aquatic ecosystems, and thus, site remediation programs must be implemented to mitigate this sequential deleterious processes. A low-cost alternative material to counterbalance the affected physico-chemical-microbiological aspects of the degraded soil is the amendment with low contaminated and stabilized industrial organic sludge. The content of nutrients P and N, together with stabilized organic matter, makes this material an excellent fertilizer and soil conditioner, fostering biota colonization and succession in the degraded site. However, choice of native plant species to restore a degraded site must be guided by some minimal criteria, such as plant survival/adaptation and plant biomass productivity. Thus, in this 3-month study under environmental conditions, phytoproductivity tests with five native plant species (Surinam cherry Eugenia uniflora L., C. myrianthum–Citharexylum myrianthum, Inga–Inga spp., Brazilian peppertree Schinus terebinthifolius, and Sour cherry Prunus cerasus) were performed to assess these criteria, and additional biochemical parameters were measured in plant tissues (i.e., protein content and peroxidase activity) exposed to different soil/sludge mixture proportions. The results show that three native plants were more adequate to restore vegetation on degraded sites: Surinam cherry, C. myrianthum, and Brazilian peppertree. Thus, this study demonstrates that phytoproductivity tests associated with biochemical endpoint measurements can help in the choice of native plant species, as well as aiding in the choice of the most appropriate soil/stabilized sludge proportion in order to optimize biomass production.

     

Service quality evaluation in the context of a technology laboratory

The intent of this research is to investigate how the customers of a technological control laboratory for civil construction materials perceived the quality of the services delivered by the lab, specifically in regard to the service of concrete compression testing. The popular SERVQUAL scale, a multidimensional instrument used to capture customer expectations and perceptions, was used as a model for the application of a survey. Exploratory factor analyses were employed to evaluate customers’ perceptions and experiences of service quality in regard to the dimensions and accompanying attributes of the SERVQUAL scale. Twenty attributes, which were grouped within five dimensions (Reliability, Assurance, Tangibles, Responsiveness, and Empathy), were identified, explaining 80.417% of the variance between customer expectations and perceptions and characterizing these dimensions on a modified SERVQUAL scale. Analysis of the results allowed us to identify discrepancies in perceived service quality compared with customers’ expectations. Most of the identified gaps between expectations and perceptions resulted in negative values.     

An empirical study for the direct and indirect links between trust in regulatory institutions and acceptability of hazards

Several studies have identified a significant relationship between trust in regulatory institutions and the extent of a hazard’s acceptability. Many, however, have overlooked the potential impact perceived risk and perceived benefit may have on the relationship. Our principal goal is to assess empirically the link between social trust in regulatory entities and the degree of public acceptability of hazards in view of interactions among social trust, perceived risk, perceived benefit and public acceptability. A survey was conducted in 2006 in three cities representative of central Mexico. A total of 356 participants answered the survey. Each participant assessed 30 hazards for perceived risk, perceived benefit, acceptability, social trust in regulatory entities, and personal knowledge. Our main finding was that social trust retained a direct as well as an indirect causal link with the degree of a hazard’s public acceptability, independent of hazard, the extent of knowledge, and the magnitude of the hazard’s perceived risk and benefit. The relationship encountered between perceived risk and acceptability was unexpected, as numerous studies have demonstrated empirically the influence perceived risk on how acceptable an activity or technology is. In our results the statistical significance of the perceived risk-acceptability relationship practically disappeared when controlled for institutional trust and perceived benefit. In other words, the net linear relationship between perceived risk and acceptability is mediated by the extent of social trust and the benefit perceived. Comparisons with several prior studies are conducted, and implications for regulatory entities are discussed.     

Greenhouse gas production and efficiency of planted and artificially aerated constructed wetlands

Greenhouse gas (GHG) emissions by constructed wetlands (CWs) could mitigate the environmental benefits of nutrient removal in these man-made ecosystems. We studied the effect of 3 different macrophyte species and artificial aeration on the rates of nitrous oxide (N₂O), carbon dioxide (CO₂) and methane (CH₄) production in CW mesocosms over three seasons. CW emitted 2-10 times more GHG than natural wetlands. Overall, CH₄ was the most important GHG emitted in unplanted treatments. Oxygen availability through artificial aeration reduced CH₄ fluxes. Plant presence also decreased CH₄ fluxes but favoured CO₂ production. Nitrous oxide had a minor contribution to global warming potential (GWP < 15%). The introduction of oxygen through artificial aeration combined with plant presence, particularly Typha angustifolia, had the overall best performance among the treatments tested in this study, including lowest GWP, greatest nutrient removal, and best hydraulic properties.