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排序方式: 共有165条查询结果,搜索用时 26 毫秒
1.
Possible link between new coronavirus variants and atmospheric lightning and seawater intrusion 下载免费PDF全文
自新型冠状病毒肺炎暴发一年多以来,已经对全球产生深远影响.新型冠状病毒肺炎变异毒株的出现使当前疫情发展充满了不确定性.从这方面出发,我们讨论病毒变异与大气因素之间的联系.根据固氮过程和硝酸盐在人体中的转化过程,我们提出了新型冠状病毒肺炎变异毒株的出现或许和闪电以及海水入侵有联系.我们的研究对新型冠状病毒肺炎变异毒株可能的产生原因提供新的观点. 相似文献
2.
《地学前缘(英文版)》2022,13(3):101365
The study evaluated the sources and controlling factors of the groundwater contaminants in an agroeconomic region of Lower Ganga Basin using principal component analysis (PCA), multivariable linear regressions (MLR), correlation analysis, and hierarchical cluster analysis, and evaluated the public health risks using the Latin Hypercube Sampling, goodness-of-fit statistics, Monte Carlo simulation and Sobol sensitivity analysis based on the 1000 samples collected in two sampling cycles (N = 1000). The study reveals that the dissolution of fluoride-bearing minerals and semi-arid climate regulate the fluoride concentrations (0.10–18.25 mg/L) in groundwater. Extensive application of inorganic nitrogenous fertilizers and livestock manure mainly contributed to elevated nitrate levels (up to 435.0 mg/L) in groundwater. The health risks analysis indicates that fluoride exposure is more prevalent in the residents of each age group than the nitrate and both contaminants exhibited higher non-carcinogenic health risks on the infant and child (minor) age groups compared to adolescents and adults. Based on the cokriging interpolation mapping, the minor residents of 17.88%–23.15% of the total area (4545.0 km2) are vulnerable to methemoglobinemia whereas the residents of all age-groups in 38.47%–44.45% of the total area are susceptible to mild to severe dental/skeletal fluorosis owing to consumption of untreated nitrate and fluoride enriched groundwater. The Sobol sensitivity indices revealed contaminant levels, groundwater intake rate and their collective effects are the most influential factors to pose potential health risks on the residents. Artificial recharge and rainwater harvesting practices should be adopted to improve the groundwater quality and the residents are advised to drink purified groundwater. 相似文献
3.
Kenneth C. Carroll Fiona L. Jordan Edward P. Glenn W. Jody Waugh Mark L. Brusseau 《Journal of Hydrology》2009,378(1-2):72-81
Several methods for characterizing the occurrence and rate of nitrate attenuation were tested at a field site near Monument Valley, Arizona. Spatial and temporal nitrate concentration data collected from a transect of monitoring wells located along the plume centerline were analyzed to evaluate the overall rates of natural attenuation. The occurrence and rate of denitrification was evaluated through microcosm experiments, nitrogen isotopic fractionation analysis, and solute-transport modeling. First-order denitrification-rate coefficients calculated with each method were comparable. In addition, the composite natural attenuation rate coefficient was similar to the denitrification-rate coefficients, which suggests that microbially induced decay primarily controls nitrate attenuation at the site. This research highlights the benefits associated with a multiple-method approach for the characterization of natural attenuation. 相似文献
4.
Weather-induced temporal variations in nitrate concentrations in shallow groundwater 总被引:1,自引:0,他引:1
J.C. Rozemeijer H.P. Broers F.C. van Geer M.F.P. Bierkens 《Journal of Hydrology》2009,378(1-2):119-127
For the evaluation of policy action programs to improve groundwater quality, research institutes and governments intensively monitor nitrate concentrations in shallow or near surface groundwater. However, trend detection is often hampered by the large seasonal and multi-annual temporal variability in nitrate concentrations, especially in shallow groundwater within 0–5 m below the surface in relatively humid regions. This variability is mainly caused by variations in precipitation excess (precipitation minus evapotranspiration) that results in strong variability in groundwater recharge. The objective of this study was to understand and quantify this weather-induced variability in shallow groundwater nitrate concentrations.We present an example of measured weather related variations in shallow groundwater nitrate concentrations from De Marke, an intensively monitored experimental farm in The Netherlands. For the quantification of the weather-induced variability, concentration-indices were calculated using a 1D model for water and solute transport. The results indicate that nitrate concentrations in the upper meter of groundwater at De Marke vary between 55% and 153% of the average concentration due to meteorological variability. The concentration-index quantification method was successfully used to distinguish weather related variability from human-induced trends in the nitrate concentration monitoring data from De Marke. Our model simulations also shows that sampling from fixed monitoring wells produces less short term variability than measuring from open boreholes. In addition, using larger screen depths and longer screens filters out short term temporal variability at the cost of a more delayed detection of trends in groundwater quality. 相似文献
5.
Gerald Maier Gillian A. Glegg Alan D. Tappin Paul J. Worsfold 《Marine pollution bulletin》2009,58(7):1007-288
Using the Taw Estuary as an example, data routinely collected by the Environment Agency for England and Wales over the period 1990-2004 were interrogated to identify the drivers of excessive algal growth. The estuary was highly productive with chlorophyll concentrations regularly exceeding 100 μg L−1, mostly during periods of low freshwater input from the River Taw when estuarine water residence times were longest. However, algal growth in mid estuary was often inhibited by ammonia inputs from the adjacent sewage treatment works. The reported approach demonstrates the value of applying conventional statistical analyses in a structured way to existing monitoring data and is recommended as a useful tool for the rapid assessment of eutrophication. However, future estuarine monitoring should include the collection of dissolved organic nutrient data and targeted high temporal resolution data because the drivers of eutrophication are complex and often very specific to a particular estuary. 相似文献
6.
María M. Castillo 《Limnologica》2010,40(4):322-329
The influence of landscape on nutrient concentration and yield was analyzed in a tropical catchment, the Guare River in northern Venezuela. Spatial and temporal variation in nitrate, SRP and total P were determined in 15 sites located along the river mainstem and tributaries. Higher nitrate concentrations and yields were reported from upper sites and both decreased in the downstream direction along the river mainstem. These trends appear to be related to more pronounced slopes and larger proportions of agricultural and forest lands in subcatchments located in the upper part of the basin, and dense algal mats in the lower reaches. Nitrate values were higher during periods of high discharge, suggesting that nitrate is primarily transported by shallow subsurface flow. SRP represented between 60 and 80% of total P. Phosphorus concentrations were homogeneous along the river mainstem and showed little seasonal variation, while yields were higher in the upper basin. Multiple regression identified slope, runoff and agriculture as primary predictors of nitrate and phosphorus across the watershed, which suggests that both natural and anthropogenic landscape characteristics have a strong influence on nutrient levels in the Guare catchment. 相似文献
7.
氮磷营养盐对中肋骨条藻生长及硝酸还原酶活性的影响 总被引:3,自引:0,他引:3
通过实验室培养,在不同氮磷浓度及氮磷比率的营养条件下,对中肋骨条藻(Skeletonema costatum)的生长及藻细胞硝酸还原酶的活性进行研究。实验结果表明,中肋骨条藻属于营养型藻类,氮磷营养盐的添加,极大地促进了藻细胞的增殖。在接种后的第4~5天,各培养组藻密度达到最大值并与对照组形成极显著性差异(P〈0.01)。实验进一步发现,环境中的氮、磷浓度及氮磷比率都会影响中肋骨条藻的生长及藻细胞硝酸还原酶活性(NRA)。此外,在各培养组中,中肋骨条藻硝酸还原酶活性的最大值(NRAmax)均出现在指数生长期(接藻后第1,2天),早于最大藻密度的出现时间(第4,5天),这表明藻对营养盐的同化速率与生长速率并不一致,后者存在一定的滞后效应。在本实验条件下,中肋骨条藻的硝酸还原酶活性存在一定的阈值。 相似文献
8.
Geneviève Bordeleau Richard Martel Dirk Schäfer Guy Ampleman Sonia Thiboutot 《Environmental Geology》2008,55(2):385-396
Numerical modelling was done at the Cold Lake Air Weapons Range, Canada, to test whether the dissolved RDX and nitrate detected
in groundwater come from the same sources, and to predict whether contamination poses a threat to the surface water receptors
near the site. Military live fire training activities may indeed pose a risk of contamination to groundwater resources, however
field investigations on military bases are quite recent, and little information is available on the long-term behaviour of
munition residues related contaminants. Very limited information was available about the contaminant source zones, which were
assigned based on our knowledge of current training activities. The RDX plume was well represented with the model, but the
heterogeneous distribution of nitrate concentrations was more difficult to reproduce. It was nonetheless determined that both
contaminants originate from the same areas. According to the model, both contaminants should reach the nearby river, but concentrations
in the river should remain very low if the source zone concentration does not change. Finally, the model allowed the recommendation
of a new location for the main bombing target, which would offer added protection to the river and the lake into which it
flows. 相似文献
9.
M. Irfan Yesilnacar Erkan Sahinkaya Muhsin Naz Bestamin Ozkaya 《Environmental Geology》2008,56(1):19-25
Monitoring groundwater quality by cost-effective techniques is important as the aquifers are vulnerable to contamination from
the uncontrolled discharge of sewage, agricultural and industrial activities. Faulty planning and mismanagement of irrigation
schemes are the principle reasons of groundwater quality deterioration. This study presents an artificial neural network (ANN)
model predicting concentration of nitrate, the most common pollutant in shallow aquifers, in groundwater of Harran Plain.
The samples from 24 observation wells were monthly analysed for 1 year. Nitrate was found in almost all groundwater samples
to be significantly above the maximum allowable concentration of 50 mg/L, probably due to the excessive use of artificial
fertilizers in intensive agricultural activities. Easily measurable parameters such as temperature, electrical conductivity,
groundwater level and pH were used as input parameters in the ANN-based nitrate prediction. The best back-propagation (BP)
algorithm and neuron numbers were determined for optimization of the model architecture. The Levenberg–Marquardt algorithm
was selected as the best of 12 BP algorithms and optimal neuron number was determined as 25. The model tracked the experimental
data very closely (R = 0.93). Hence, it is possible to manage groundwater resources in a more cost-effective and easier way with the proposed
model application. 相似文献
10.