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531.
The presence of natural estrogen hormones as trace concentrations in the environment has been reported by many researchers
and is of growing concern due to its possible adverse effects on the ecosystem. In this study, municipal biosolids, poultry
manure (PM) and cow manure (CM), and spent mushroom compost (SMC) were analyzed for the presence of seven estrogen hormones.
17α-estradiol, 17β-estradiol, 17α-dihydroequilin, and estrone were detected in the sampled biosolids and manures at concentrations
ranging from 6 to 462 ng/g of dry solids. 17α-estradiol, 17β-estradiol, and estrone were also detected in SMC at concentrations
ranging from 4 to 28 ng/g of dry solids. Desorption experiments were simulated in the laboratory using deionized water (milli-Q),
and the aqueous phase was examined for the presence of estrogen hormones to determine their desorption potential. Very low
desorption of 0.4% and 0.2% estrogen hormones was observed from municipal biosolids and SMC, respectively. An estimate of
total estrogen contribution from different solid waste sources is reported. Animal manures (PM and CM) contribute to a significant
load of estrogen hormones in the natural environment. 相似文献
532.
Voss KA Pohlman A Viswanathan S Gibson D Purohit J 《Environmental monitoring and assessment》2012,184(3):1603-1616
Environmental agencies across the United States have searched for adequate methods to assess anthropogenic impacts on the
environment. Biological assessments, which compare the taxonomic composition of an aquatic assemblage to relevant biocriteria,
have surfaced as an effective method to assess the ecological integrity of US waterbodies. In this study, bioassessment data
were collected and analyzed in conjunction with physical habitat and chemical stressor data for streams and rivers within
the San Diego basin from 1998 through 2005. Physical stressors such as sediment loading, riparian destruction, and in-stream
habitat homogenization affect many locations in the region. However, physical habitat measures alone were found to frequently
overestimate the biological integrity of streams in the region. Many sites within the San Diego Basin, although unaffected
by physical stressors, continue to exhibit low biological integrity scores. Sites with low biological integrity tend to possess
higher specific conductance and salinity compared to sites with high biological integrity. We suggest that one possible reason
for these differences is the source water used for municipal purposes. 相似文献
533.
Maria P. Papadopoulou Emmanouil A. Varouchakis George P. Karatzas 《Environmental Modeling and Assessment》2010,15(5):319-328
Karst aquifers are characterized by spatial heterogeneity due to the presence of highly permeable channels and conduits in
low-permeable fractured rocks (matrix block). Recent studies have reported a close relationship between surface and subsurface
water in karstic regions due to the water flow through a complicated network of paths formed by fracture intersections. Subsurface
flow in karstified aquifers ranges between conduit flow, in large passages with relatively high flow velocities, and diffuse
flow, in the matrix block where Darcy’s law is still valid. In this paper, we present the simulation of a complex karstified
aquifer system in Crete, Greece, where the presence of main faults drastically affects the regional flow. A discrete fracture
approach in conjunction with an equivalent porous medium approach was adopted to simulate the mixed flow in the area of interest.
The simulation results have shown that the length and the orientation of the dominant faults, primarily during the rainy season,
affect the flow field. 相似文献
534.
Michael G. Hutchins Amelie Deflandre-Vlandas Paulette E. Posen Helen N. Davies Colin Neal 《Environmental Modeling and Assessment》2010,15(2):93-109
A combined semi-distributed hydrological model (CASCADE/QUESTOR) is used to evaluate the steady-state that may be achieved
after changes in land-use or management and to explore what additional factors need to be considered in representing catchment
processes. Two rural headwater catchments of the River Derwent (North Yorkshire, UK) were studied where significant change
in land-use occurred in the 1990s and the early 2000s. Much larger increases in mean nitrate concentration (55%) were observed
in the catchment with significant groundwater influence (Pickering Beck) compared with the surface water-dominated catchment
(13% increase). The increases in Pickering Beck were considerably greater than could be explained by the model in terms of
land-use change. Consequently, the study serves to focus attention on the long-term increases in nitrate concentration reported
in major UK aquifers and the ongoing and chronic impact this trend is likely to be having on surface water concentrations.
For river environments, where groundwater is a source, such trends will mask the impact of measures proposed to reduce the
risk of nitrate leaching from agricultural land. Model estimates of within-channel losses account for 15–40% of nitrate entering
rivers. 相似文献
535.
Ans M. Mouton Andy P. Dedecker Sovan Lek Peter L. M. Goethals 《Environmental Modeling and Assessment》2010,15(1):65-79
This study aimed to compare different methods to analyse the contribution of individual river characteristics to predict the
abundance of Asellus (Crustacea, Isopoda). Six methods which provide the relative contribution and/or the contribution profile of the input variables
of artificial neural network models were therefore compared: (1) the ‘partial derivatives’ method; (2) the ‘weights’ method;
(3) the ‘perturb’ method; (4) the ‘profile’ method; (5) the ‘classical stepwise’ method; (6) the ‘improved stepwise’ method.
Consequently, the key variables which affect the habitat preferences of Asellus could be identified. To evaluate the performance of the artificial neural network model, the model predictions were compared
with the results of a multiple linear regression analysis. The dataset consisted of 179 samples, collected over a 3-year period
in the Zwalm catchment in Flanders, Belgium. Twenty-four environmental variables as well as the log-transformed abundance
of Asellus were used in this study. The different contribution methods seemed to give similar results concerning the order of importance
of the input variables. Nevertheless, their diverse computation led to differences in sensitivity and stability of the methods
and the derived outcomes on the habitat preferences. From an ecological point of view, the environmental variables describing
the stream type (width, depth, stream order and distance to mouth) were the most significant variables for Asellus in the Zwalm catchment during the period 2000–2002 for all applied methods. Indirectly, one can conclude that the water quality
is not the limiting factor for the survival of Asellus in the Zwalm catchment. 相似文献
536.
Inexact Fuzzy-Stochastic Programming for Water Resources Management Under Multiple Uncertainties 总被引:1,自引:0,他引:1
In this study, an interval-parameter fuzzy-stochastic two-stage programming (IFSTP) approach is developed for irrigation planning
within an agriculture system under multiple uncertainties. A concept of the distribution with fuzzy-interval probability (DFIP)
is defined to address multiple uncertainties expressed as integration of intervals, fuzzy sets, and probability distributions.
IFSTP integrates the interval programming, two-stage stochastic programming, and fuzzy-stochastic programming within a general
optimization framework. IFSTP incorporates the pre-regulated water resources management policies directly into its optimization
process to analyze various policy scenarios; each scenario has different economic penalty when the promised amounts are not
delivered. IFSTP is applied to an irrigation planning in a water resources management system. Solutions from IFSTP provide
desired water allocation patterns, which maximize both the system’s benefits and feasibility. The results indicate that reasonable
solutions are generated for objective function values and decision variables; thus, a number of decision alternatives can
be generated under different levels of stream flows. 相似文献
537.
In the event of a natural or anthropogenic disturbance, environmental resource managers require a reliable tool to quickly
assess the spatial extent of potential damage to the seagrass resource. The temporal availability of the Landsat 5 Thematic
Mapper (TM) imagery provided a suitable option to detect and assess damage of the submerged aquatic vegetation (SAV). This
study examined Landsat TM imagery classification techniques to create two-class (SAV presence/absence) and three-class (SAV
estimated coverage) SAV maps of the seagrass resource. The Mahalanobis Distance method achieved the highest overall accuracy
(86%) and validation accuracy (68%) for delineating the seagrass resource (two-class SAV map). The Maximum Likelihood method
achieved the highest overall accuracy (74%) and validation accuracy (70%) for delineating the seagrass resource three-class
SAV map. The Landsat 5 TM imagery classification provided a seagrass resource map product with similar accuracy to the aerial
photointerpretation maps (validation accuracy 71%). The results support the application of remote sensing methods to analyze
the spatial extent of the seagrass resource. 相似文献
538.
Agunbiade FO Olu-Owolabi BI Adebowale KO 《Environmental monitoring and assessment》2012,184(1):89-102
The accumulation patterns of ten metals in tissues of plant, Eichornia crassipes, and fishes, Hydrocynus forskahlii and Oreochromis mossambicus, were modeled with simple fuzzy classification (SFC) to assess toxic effects of anthropogenic activities on the coastal biota.
The plant sample was separated into root, stem, and leaves and the fishes into bones, internal tissues, and muscles. They
were analyzed for As, Cd, Cr, Cu, Ni, Pb, V, Fe, Mn, and Zn after wet oxidation of their dried samples. The results were converted
into membership functions of five accumulation classes and aggregated with SFC. The classification results showed that there
was no metal accumulation in the plant parts while the fishes were classified into low accumulation category. The internal
tissues of the fishes had higher metal accumulation than the other parts. Generally, Fe and Mn had highest concentrations
in the biota but are natural to the area and may not constitute significant risk. Cr had the highest transfer and accumulation
from the coastal water into the aquatic lives and may be indicative of risk prone system being a toxic metal. Metal contaminations
in the zone had not significantly accumulated in the biota making them less prone to risk associated with metal accumulation. 相似文献
539.
Bai S Srikantaswamy S Krishnanandan V Naik OP 《Environmental monitoring and assessment》2012,184(1):239-249
Urban wastewater treatment leads to the generation of large quantities of biosolids. Accumulation of biosolids is a problem
of environmental relevance due to the existence of heavy metals in the biosolids. Determination of total metal in biosolid
provides information relating pollution levels. Determination of their mobilization capacity and behaviour in the environment
is an important task. An experimental approach commonly used for studying the mobility, transport and bioavailability of metal
in biosolids is the use of selective sequential extraction procedure. In the present study an attempt has been made to study
the heavy metal properties in biosolid samples collected from urban wastewater treatment plants located at Mysore, Karnataka.
Few heavy metals selected for the present study are cadmium, chromium, copper, iron, nickel and zinc. The concentration of
these metals in biosolids and their partition in different fractions are studied. The speciation of metals based on the sequential
extraction scheme was carried out. The concentration of heavy metals is lower than that established by European legislation.
The residual fraction has the maximum percentage of heavy metals whereas, only a small fraction of heavy metals (Fe, Zn and
Cd) are extracted in the most soluble fractions, exchangeable and carbonate fractions. 相似文献
540.
Concentration of heavy metals (Cd, Ni, Zn, Fe, Cu, Mn, Pb, Cr, Hg and As) in the waters of River Yamuna and in the soil of
agricultural fields along its course in Delhi are reported from 13 sites, spread through the Delhi stretch of Yamuna, starting
from the Wazirabad barrage till the Okhla barrage. Varying concentration of heavy metals was found. Peaks were observed in
samples collected downstream of Wazirabad and Okhla barrage, indicating the anthropogenic nature of the contamination. The
Wazirabad section of the river receives wastewater from Najafgarh and its supplementary drains, whereas the Shahdara drain
releases its pollution load upstream of the Okhla barrage. Average heavy metal concentration at different locations in the
river water varied in the order of Fe>Cr>Mn>Zn>Pb>Cu>Ni>Hg>As>Cd. The river basin soil shows higher level of contamination
with lesser variation than the water samples among sampling locations, thereby suggesting deposition over long periods of
time through the processes of adsorption and absorption. The average heavy metal concentration at different locations in soil
varied in the order of Fe>Mn>Zn>Cr>Pb>Ni>Hg>Cu>As>Cd. 相似文献