Diffusion scrubber technique used for measurements of atmospheric ammonia

A diffusion scrubber (DS) was developed to measure trace levels of gaseous ammonia in ambient air. The sampling resolution time for this method is 10 min and the detection limit is estimated to be 0.01 ppbv. The response to the NI-I₃ concentrations is found to be dependent on the relative humidity in the ambient air and the temperature. The method is calibrated by using a diluted NH₃ cylinder gas, and the concentrations of the calibration gas were in the range 0.02–2 ppbv during the test. Sampling performed with the DS-method is compared to sampling performed by a filter pack and a continuous flow denuder (AMANDA). The DS-method shows good agreement with the continuous flow denuder and the filter pack.     

Degradation of 3,4-dichloro- and 3,4-difluoroaniline by Pseudomonas fluorescens 26-K

3,4-Dichloro- and 3,4-difluoroanilines were degraded by Pseudomonas fluorescens 26-K under aerobic conditions. In the presence of glucose strain degraded 170 mg/L of 3,4-dichloroaniline (3,4-DCA) during 2-3 days. Increasing of toxicant concentration up to 250 mg/L led to degradation of 3,4-DCA during 4 days and its intermediates during 5-7 days. Without cosubstrate and nitrogen source degradation of 3,4-DCA took place too, but more slowly--about 40% of toxicant at initial concentration 75 mg/L was degraded during 15 days. 3,4-Difluoroaniline (3,4-DFA) (initial concentration 170 mg/L) was degraded by Pseudomonas fluorescens 26-K during 5-7 days. The strain was able to completely degrade up to 90 mg/L of 3,4-DFA, without addition of cosubstrate and nitrogen during 15 days. Degradation of fluorinated aniline was accompanied by intensive defluorination. Activity of catechol 2,3-dioxygenase (C2,3DO) (0.230 micromol/min/mg of protein) was found in the culture liquid of the strain, grown with 3,4-DCA and glucose. This fact, as well as, the presence of 3-chloro-4-hydroxyaniline as a metabolite suggested that 3,4-DCA degradation pathway includes dehalogenation and hydroxylation of aromatic ring followed by its subsequent cleaving by C2,3DO. On the contrary, activity of catechol 1,2-dioxygenase (C1,2DO) (0.08 micromol/min/mg of protein) was found in the cell-free extract of biomass grown on 3,4-DFA. 3-Fluoro-4-hydroxyaniline as intermediate was found in this cell-free extract.     

Analyzing spatial count data,with an application to weed counts

Count data on a lattice may arise in observational studies of ecological phenomena. In this paper a hierarchical spatial model is used to analyze weed counts. Anisotropy is introduced, and a bivariate extension of the model is presented.     

WATER QUALITY MODELING BY MONTE CARLO SIMULATION1

ABSTRACT: The applicability of the Monte Carlo simulation technique to water quality modeling is demonstrated with the aid of a simple Streeter-Phelps model. The model accounts for the stochasticity of the input parameters. Triangular probability density functions are shown to be useful in case insufficient information is available to define meaningful frequency distributions of input parameters. The model output is presented as probability distributions of stream quality parameters.     

Wet deposition of pesticides and nitrophenols at two sites in Denmark: measurements and contributions from regional sources

The concentrations of selected pesticides, of some of their degradation products and nitrophenols in rain were measured at two stations in Denmark in the period January 2000-July 2001. Forty compounds were quantified at least at one station during at least one sampling period. Additionally 17 compounds could be detected but not quantified, and 22 compounds could not be detected at all. The highest depositions of pesticides were observed for pendimethalin and desethylterbuthylazine, which is a degradation product of terbuthylazine. The deposition of the nitrophenols 2,4-dinitrophenol, DNOC, 3-methyl-4-nitrophenol was much higher than that of pesticides. The deposition of 2,4-dinitrophenol was e.g. up to a factor of 40 higher than that of pendimethalin. Atrazine, chloridazon, 2,4-D, dieldrin, disulfoton, fenitrothion, isoproturon, lenacil, metazachlor and propachlor were found in precipitation, although these pesticides are not allowed in Denmark. It can therefore be concluded that they came from abroad and have been transported over at least 60-80 km. For some of these compounds the transport distance is much longer.     

NitroGenius: a nitrogen decision support system. A game to develop the optimal policy to solve the Dutch nitrogen pollution problem

A nitrogen decision support system in the form of a game (NitroGenius) was developed for the Second International Nitrogen Conference. The aims were to: i) improve understanding among scientists and policy makers about the complexity of nitrogen pollution problems in an area of intensive agricultural, industrial, and transportation activity (The Netherlands); and ii) search for optimal policy solutions to prevent pollution effects at lowest economic and social costs. NitroGenius includes a model of nitrogen flows at relevant spatial and temporal scales including emissions of ammonia and nitrogen oxides and contamination of surface- and groundwaters. NitroGenius also includes an economic model describing relationships for important sectors and impacts of different nitrogen control measures on Gross Domestic Product (GDP), unemployment, energy use, and environmental costs. About 50 teams played NitroGenius during the Second International Nitrogen Conference. The results show that careful planning and selection of abatement options can solve Dutch nitrogen problems at reasonable cost.     

Field intercomparison of throughfall measurements performed within the framework of the Pan European intensive monitoring program of EU/ICP Forest

A 6-month field intercomparison study on throughfall measurements was performed at Speulder forest near the west coast in The Netherlands. Twenty throughfall sampling systems were evaluated on accuracy, sampling strategy and performance under field conditions. Throughfall fluxes of NO3-, K+ and Kjeldahl-N generally could be determined with a larger accuracy than fluxes of SO4(2-), NH4+, Na+, Cl-, Mg2+, Ca2+, and alkalinity. Throughfall fluxes of H+ generally had the lowest accuracy. Only 20% of the sampling systems differed more than 20% from the best estimate, whereas 45% of the systems stayed within a 10% range from the best estimate. The difference from the best estimate was mainly caused by aspects related to sampling strategy, like, for example, collecting area, sampler placement. The inaccuracy induced by the sampling system appeared to be much larger than that resulting from the analysis of the samples by different laboratory as determined by ring-tests. The field intercomparison described in this article gave a good insight in the different aspects contributing to the overall accuracy of the measurements. However, performing a future field intercomparison is recommended for throughfall and stemflow in order to also take in account other aspects that might influence the performance of the different measurement systems (e.g. tree species, climate zone, summer/winter period).     

Estimation of the net air-sea flux of ammonia over the southern bight of the North Sea

Measurements of airborne gaseous ammonia and total dissolved ammonium in sea water determined on cruises on the North Sea have been used to calculate net fluxes of ammonia between air and sea. The system is finely balanced with the majority of net fluxes from air to sea, but some periods occur when the sea becomes a net source of ammonia in air. Examination of the field data suggests that the main factor determining the direction of flux is the airborne ammonia concentration, which when elevated causes ammonia deposition to the sea. It is calculated that ammonia deposition to the southern bight of the North Sea (below 56°N) amounts to 7.6 x 103 tonnes N per year, about one-half of an earlier upper limit estimate. Comparison with studies from the Pacific Ocean, in which the sea acts as a source of atmospheric ammonia, reveals that the major differences arise from much higher concentrations of airborne ammonia in the North Sea atmosphere caused by advection from adjacent land.     

Tales of island tails: biogeomorphic development and management of barrier islands

The Frisian islands (Southern North Sea) have extensive island tails, i.e. the entire downdrift side of an island consisting of salt marshes, dunes, beaches and beach plains, and green beaches. Currently, large parts of these tails are ageing and losing dynamics, partly due to human influence. This may mean a loss of young stages on the long term, and current management is not enough to counteract this. To aid the development of new interventions aiming at (re)introducing natural dynamics, a conceptual model of island-tail development under natural and disturbed conditions was developed, based on existing data, field visits and literature. The development of an island tail follows the general pattern of biogeomorphic succession. The first phase consists of a bare beach plain. In the second phase, embryonic dunes form. In the third phase, green beaches, dunes and salt marshes form, including drainage by creeks and washovers. In the fourth phase, vegetation succession continues and the morphology stabilises. Human interference (such as sand dikes and embankments) reduces natural dynamics and increases succession speed, leading to a reduction in the diversity in landforms and vegetation types. Both for natural and human-influenced island tails, succession is the dominant process and large-scale rejuvenation only occurs spontaneously when large-scale processes cause erosion or sedimentation. Island tails cannot be kept permanently in a young successional stage by reintroducing natural dynamics through management interventions, as biogeomorphic succession is dominant. However, such interventions may result in local and temporal rejuvenation when tailored to the specific situation.