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1.
The study of temporal and spatial variations of nitrate in groundwater under different soil nitrogen environments is helpful to the security of groundwater resources in agricultural areas. In this paper,based on 320 groups of soil and groundwater samples collected at the same time, geostatistical analysis and multiple regression analysis were comprehensively used to conduct the evaluation of nitrogen contents in both groundwater and soil. From May to August, as the nitrification of groundwater i...  相似文献   

2.
西山岩溶水作为北京市重要的供水水源,在区域水文地质调查过程中发现西山岩溶水补给区一些样品硝酸盐浓度偏高,然而其周围岩溶水中硝酸盐浓度并未见明显变化（浓度均值为18.81 mg/L）,具点状硝酸盐源特征。岩溶含水层中硝酸盐分布特征和影响因素具有重要的研究意义。文章利用岩溶水化学和同位素分析结果研究了岩溶水硝酸盐分布和来源,利用IsoSource软件计算各来源的贡献率。结果表明:军庄—永丰屯径流区和军庄—古城—玉泉山泉径流区岩溶水中硝酸盐主要来源于生活废水、土壤有机氮矿化和大气沉降,贡献率值分别为37.1%、36.3%、26.6%;潭柘寺—四季青岩溶水中硝酸盐在潭柘寺补给区有养殖场废水下渗影响,径流区中硝酸盐含量低并发生反硝化降解作用。永定河水源硝酸盐不是岩溶水硝酸盐的主要来源。研究成果对西山岩溶水中硝酸盐的控制具有重要参考价值。  相似文献   

3.
桂林甑皮岩岩溶地下水硝酸盐来源与转化   总被引：1，自引：0，他引：1  
峰林平原是人类活动和居住的密集区，也是岩溶地下水系统的主要径流、排泄地段，地下水资源丰富。随着城市化的发展，地下水硝酸盐污染问题日渐突出。为研究桂林甑皮岩岩溶地下水硝酸盐来源与转化，分别于2018年10月、2019年2月、3月和4月采集地下水样，利用常规水化学及氮氧同位素技术识别硝酸盐来源与转化。结果表明:甑皮岩地下水中NO3-浓度在0~19.523 mg?L-1，δ15N-NO3-和δ18O-NO3-分别在-0.17‰～45.12‰和-5.82‰~16.47‰。硝酸盐氮氧同位素数据表明，甑皮岩地下水硝酸盐来源主要为粪便及污废水，少量来自降雨中的NH4+和土壤有机氮。受岩溶介质不均一性的控制，甑皮岩地下水中NO3-浓度、δ15N-NO3-和δ18O-NO3-均表现出明显的空间变异性。甑皮岩地下水硝酸盐的转化过程复杂，受控于季节和岩溶介质不均一性，表现为旱季以反硝化为主，雨季则以硝化过程为主。厘清硝酸盐来源与转化为治理甑皮岩地下水硝酸盐污染提供一定的科学依据。   相似文献   

4.
The complex depositional pattern of clay and sand in most of the areas controlled the vertical and lateral movement of nitrate in groundwater. The variation of nitrate concentration at different groundwater levels and the lateral distribution of nitrate in the groundwater at two sites indicated the filtration of nitrate by clayey formations. A rural agricultural district located in the Vamsadhara river basin, India was selected for studying the lateral and vertical distribution of nitrate in the groundwater and the association of nitrate with other chemical constituents. The nitrate concentrations in the groundwater are observed to vary between below detectable limit and 450 mg NO3/L. The sources for nitrate are mainly point sources (poultry farms, cattleshed and leakages from septic tanks) and non-point sources (nitrogenous fertilisers). The nitrate concentrations are increased after fertiliser applications. However, very high concentrations of nitrate are derived from animal wastes. Relatively better correlations between nitrate and potassium are observed (R = 0.74 to 0.82). The better relationship between these two chemical constituents in the groundwater may be due to the release of potassium and nitrate from both point and non-point sources. The nitrate and potassium concentrations are high in the groundwater from clayey formations.  相似文献   

5.
李严  曹明达  靳孟贵  张结  黄鑫 《地球科学》2020,45(3):1061-1070
目前针对喀斯特山区及平原过渡带天然河流硝酸盐的来源识别与追踪的研究鲜有报道,也较少考虑湿润气候区反季节性干旱气候特征对硝酸盐迁移规律的影响.以汉江二级支流泉水河流域为例,分析了从源头喀斯特地区、中间过渡区、平原区地表水和地下水硝酸盐含量及组成的空间变化,采用氮氧同位素识别地表水和地下水硝酸盐来源,利用SIAR模型定量计算各污染源的贡献率.结果表明:土壤有机氮、污水粪便、化肥和大气沉降对地下水硝酸盐来源贡献占比分别为31.4%、20.0%、29.6%和19.0%,对地表水硝酸盐来源的比例分别为32.0%、30.0%、25.0%和13.0%,污水粪便对地表水硝酸盐贡献比例较地下水增高;坝上水样因水体较大,自净能力较强,受污水粪便的影响很小（仅为9.0%）,坝上水样硝酸盐土壤有机氮、大气沉降和化肥的贡献占比分别为43.0%、11.0%和37.0%.枯水期河水主要由地下水缓慢补给,无地表径流汇入,土壤有机氮为河流主要的硝酸盐来源,河流中下游更易受人类活动影响,生活污水和化肥对河流硝酸盐贡献增大.   相似文献   

6.
The aim of this study is to apply an integrated approach to determine nitrate sources and fate in the alluvial aquifer of the River Vibrata (Abruzzi, central Italy) by coupling the Isotope and the Component approaches. Collected data include concentration and nitrogen isotope composition of groundwater samples from the alluvial aquifer and nitrogen loads arising from agricultural and non-agricultural sources. The adopted methodology identified synthetic fertilizers as main sources of nitrate in the Vibrata alluvial aquifer. At the catchment scale, two different zones have been identified: the Upper Valley, where infiltration to groundwater is dominant and nitrogen easily migrates into the aquifer; in this area, nitrate content in groundwater is stable and normally higher than EU requirements. Moreover, streamwaters are fed by groundwater with a nitrate content likely lowered by denitrification processes occurring in the hyporheic zone. In the Lower Valley, runoff processes dominate and the nitrate content in surface waters is higher. Nevertheless, groundwater is locally affected by denitrification that breaks down the nitrate content, which often reaches values consistent with law limits.  相似文献   

7.
The study region comprises the Sidi Bouzid shallow aquifer, which is located in the western part of Central Tunisia. It is mainly occupied by agricultural land with intensive use of chemical fertilizers especially nitrates. For this reason, nitrate measurement was performed in 38 water samples to evaluate and calibrate the obtained models. Several environmental parameters were analyzed using groundwater nitrate concentrations, and different statistical approaches were applied to assess and validate the groundwater vulnerability to nitrate pollution in the Sidi Bouzid shallow aquifer. Multiple linear regression (MLR), analyses of covariance (ANCOVA), and logistic regression (LR) were carried out for studying the nitrate effects on groundwater pollution. Statistical analyses were used to identify major environmental factors that control the groundwater nitrate concentration in this region. Correlation and statistical analyses were conducted to examine the relationship between the nitrate (dependent variable) and various environmental variables (independent variables). All methods show that “groundwater depth” and “land use” parameters are statistically significant at 95% level of confidence. Groundwater vulnerability map was obtained by overlaying these two thematic layers which were obtained in the GIS environment. It shows that the high vulnerability area coincides with the likelihood that nitrate concentration exceeds 24.5 mg/l in groundwater. The relationship between the groundwater vulnerability classes and the nitrate concentrations provides satisfactory results; it showed an Eta-squared correlation coefficient of 64%. So, the groundwater vulnerability map can be used as a synthetic document for realistic management of groundwater quality.  相似文献   

8.
A combined hydrochemical and stable isotope approach was used to investigate the origin of nitrate in the shallow unconfined groundwater of Kharkiv city, Eastern Ukraine. The contamination was investigated in the context of land use within the catchment area. The observed enrichment of sulfate, chloride and nitrate suggests significant groundwater contamination in the shallow urban aquifer, which is widely used as drinking water source for the urban population. Characteristic nitrate/chloride ratios as well as stable isotope ratios (N and O) of nitrate in the most contaminated springs confirmed that septic waste from leaky sewer systems was the main source of nitrate contamination in the groundwater. Nitrate contamination is linked to the type of land use and sewage treatment regime in the catchment area. It is also modulated by the regional hydrogeology, which determines the susceptibility of a given aquifer toward groundwater pollution. A more quantitative assessment of nitrate sources based on the nitrate isotope analysis alone is rather difficult. However, our study confirms that the combination of hydrochemical tracers, robust land-use analysis and nitrate stable isotope measurements represents a valuable approach to identify the origin of the nitrate contamination.  相似文献   

9.
氮、氧同位素在地下水硝酸盐污染研究中的应用   总被引：12，自引：0，他引：12  
周迅  姜月华 《地球学报》2007,28(4):389-395
硝酸盐是地下水中难以去除的稳定污染物之一,是地下水氮(N)污染的主要形式.不同氮来源的硝酸盐氮、氧(O)同位素组成不同,可利用N、O同位素并结合其他同位素技术示踪硝酸盐污染源,识别反硝化过程,对于有效控制污染源和评估地下水对硝酸盐污染的恢复自净能力有重要意义.本文介绍了N、O同位素技术在地下水硝酸盐污染源追踪和反硝化过程的识别方面的原理和应用以及目前发展状况.  相似文献   

10.
Knowledge of the baseline of groundwater nitrate is essential for water quality management. As large-scale anthropogenic activities, especially utilization of chemical fertilizers began from the 1950s in most countries, such as China, the baseline of groundwater nitrate can be determined from pre-modern water using tritium and statistical analysis. In the (semi)arid northern China, the median values of nitrate baseline for the three large regions (Tarim river basin, TRB; Loess Plateau of China, LPC; North China Plain, NCP) range from 2 to 9 mg/L (as NO3). Several main factors control nitrate content in the unsaturated zone moisture and in groundwater, e.g., nitrate input, sediment moisture movement (direction and rate), and depth of water table at the macroscopic scale in (semi)arid areas, where nitrate loss by denitrification can be limited. Sixteen unsaturated zone profiles (638 sediment samples in total) with depths ranging from 5 to 18.25 m were sampled to demonstrate how those factors affect groundwater nitrate. As sediment moisture moves upward from the water table in the TRB case, a large inventory of nitrate in the unsaturated zone with evapo-transpired origin would never enter groundwater and groundwater nitrate contents remain at the baseline level. On the contrary, in the LPC and NCP, nitrate from fertilizers may pass through the unsaturated zone and eventually reach the water table to pollute groundwater. It is also noticed that there is a time lag between land-use change and groundwater quality response, due to the buffering capacity of the thick unsaturated zone, to which attention should be paid regarding water quality management.  相似文献   

11.
This paper describes the implementation of process-based models reflecting relative groundwater nitrate vulnerability of the shallow alluvial Lower Savinja Valley (LSV) aquifer in Slovenia. A spatially explicit identification of the potentially vulnerable priority areas within groundwater bodies at risk from a chemical point of view is being required for cost-effective measures and monitoring planning. The shallow LSV unconfined aquifer system consists of high-permeable Holocene and middle- to low-permeable Pleistocene gravel and sand, with a maximum thickness of about 30 m, mainly covered by shallow eutric fluvisoils or variously deep eutric cambisoil. The hydrogeological parameters, e.g. the depth to the groundwater, hydrological role of the topographic slope, etc. usually used in different point count schemes are, in the case of the lowland aquifer and shallow groundwater, spatially very uniform with low variability. Furthermore, the parametric point count methods are generally not able to illustrate and analyze important physical processes, and validation of the results is difficult and expensive. Instead of a parametric point count scheme, we experimentally used the Arc-WofE extension for weights-of-evidence (WofE) modelling. All measurement locations with a concentration higher than the value of 20 mg NO3 − per litre of groundwater have been considered as training points (173), and the three process-based models generalized output layers of groundwater recharge (GROWA), nitrate leached from the soil profile (SWAT) and groundwater flow velocity (FEFLOW), served as evidential themes. The technique is based on the Bayesian idea of phenomena occurrences probability before (prior probability) and after consideration of any evidential themes (posterior probability), which were measured by positive and negative weights as an indication of the association between a phenomena and a prediction pattern. The response theme values describe the relative probability that a 100 × 100 m spatial unit will have a groundwater nitrate concentration higher than the training points’ limit values with regard to prior probability value. The lowest probability of groundwater nitrate occurrence is in the parts of the LSV aquifer, which are known as anoxic condition areas with very likely denitrification processes. The cross-validation of the dissolved oxygen and dissolved nitrate response theme confirmed the accuracy of the groundwater nitrate prediction. The WofE model results very clearly indicate regional groundwater nitrate distribution and enable spatial prediction of the probability for increased groundwater nitrate concentration in order to plan the groundwater nitrate reduction measures and optimize the programme for monitoring the effects of these measures.  相似文献   

12.
A multivariate statistical modelling approach was applied to explain the anthropogenic pressure of nitrate pollution on the Kinshasa groundwater body (Democratic Republic of Congo). Multiple regression and regression tree models were compared and used to identify major environmental factors that control the groundwater nitrate concentration in this region. The analyses were made in terms of physical attributes related to the topography, land use, geology and hydrogeology in the capture zone of different groundwater sampling stations. For the nitrate data, groundwater datasets from two different surveys were used. The statistical models identified the topography, the residential area, the service land (cemetery), and the surface-water land-use classes as major factors explaining nitrate occurrence in the groundwater. Also, groundwater nitrate pollution depends not on one single factor but on the combined influence of factors representing nitrogen loading sources and aquifer susceptibility characteristics. The groundwater nitrate pressure was better predicted with the regression tree model than with the multiple regression model. Furthermore, the results elucidated the sensitivity of the model performance towards the method of delineation of the capture zones. For pollution modelling at the monitoring points, therefore, it is better to identify capture-zone shapes based on a conceptual hydrogeological model rather than to adopt arbitrary circular capture zones.  相似文献   

13.
Implemented on behalf of the Federal Ministry for Research and Technology (BMFT), a model is developed to trace the nutrient flow of nitrate in the soil and the groundwater on a supraregional scale. Research work is intended to indicate regionally differentiated hazardous potentials and thereby provide a basis for recommending comprehensive measures to protect groundwater in Germany. The adaption of the model to the hydrogeological and agricultural conditions of other states is possible in principle. This article focuses on the hydrogeological model parts. A high nitrate pollution of groundwater can be expected in all regions with intensive agricultural use of the topsoil. In particular, groundwater in solid rock areas is susceptible to nitrate pollution. There a rapid groundwater turnover and thus a short residence time for the groundwater in the aquifer is typical. Oxidizing aquifer conditions usually prevail in solid rock aquifers, preventing nitrate degradation. In many loose rock areas, in contrast, the groundwater has a low flow velocity and a long residence time in the aquifer. Because of a lack of free oxygen, a complete degradation of nitrate can occur, as long as iron sulfide compounds and/or organic carbon are available in the aquifer. A more detailed presentation of the whole research work is given in Wendland et al. (1993).  相似文献   

14.
为研究滹沱河冲洪积扇地区地下水硝酸盐污染机制,对滹沱河冲洪积扇地区地下水和地表水进行了采样监测,运用环境健康风险评价模型对研究区硝酸盐进行评价,采用水化学和多元统计方法研究了滹沱河冲洪积扇地区地下水硝酸盐污染问题。结果表明:研究区地表水NO-3污染较轻,NO-3均值为19.54 mg/L,所有水样均未超出我国地表水环境质量标准（45 mg/L）;但是,地下水已经受到了NO-3的严重污染,NO-3均值为75.84 mg/L,且有30.43%水样超出我国地下水质量标准（88. 6 mg/L）。研究区3个水文地质单元地下水硝酸盐的平均个人年健康风险分别为4.94×10-8、1.99×10-8和2.61×10-9,低于国际辐射防护委员会（ICRP）推荐的最大可接受风险水平（5.0×10-5/a）,因此,认为不会对人群构成严重危害。水文地质单元和地下水埋深对硝酸盐污染有显著影响,但是,土地利用类型对硝酸盐浓度的影响不显著。滹沱河冲洪积扇地区地下水硝酸盐的主要污染来源是生活污水和化肥。此外,强烈开采地下水也是该地区NO-3污染的诱因。  相似文献   

15.
Groundwater is an important and often exclusive water resource in arid and semi-arid regions. The aim of the present paper was to gain insight into the processes and conditions that control the deterioration of groundwater quality in the semi-arid Kalahari of Botswana. Measurements of 3He, 4He, 20Ne, 22Ne, and of 14C of dissolved inorganic carbon (DIC) were combined with existing isotopic and hydrochemical data to investigate groundwater from the Ntane Sandstone Aquifer, which is affected by high nitrate concentrations of non-anthropogenic origin. All groundwater samples revealed neon concentrations in excess to air-saturated water, which we attributed to the addition of excess air during recharge. Neon concentrations ranged from values close to air saturation for 14C DIC rich samples (up to 80.5%MC) up to values of 90% in excess to air-saturated water for lower 14C DIC contents (2.6-61.3%MC). A strong linear correlation of excess Ne with nitrate concentrations suggests an intimate connection between groundwater quality and the processes and conditions during groundwater recharge. Low groundwater recharge rates under present-day semi-arid conditions are associated with low amounts of excess Ne and elevated nitrate concentrations. In contrast to this, higher excess Ne values in groundwater of lower 14C DIC and nitrate contents indicate that the high quality groundwater end-member presumably is related to higher groundwater table fluctuations during wetter climatic conditions in the past. We attribute the decline in groundwater quality with respect to nitrate to a decreasing rate and temporal variability of groundwater recharge, and to concurrent changes in biogeochemical activities following a transition to a drier climate during the Holocene. Under such conditions, a much stronger decrease in groundwater recharge compared to the release of nitrate from soil organic matter may result in elevated nitrate concentrations in the vadose zone and groundwater. This implies a strong impact of climate change on the transport of solutes like nitrate through the vadose zone which needs to be considered in predictions of future groundwater quality.  相似文献   

16.
Visual Modflow在石家庄市地下水硝酸盐污染模拟中的应用   总被引：8，自引：0，他引：8  
利用Visual Modflow软件建立了石家庄市长达42 a的二维潜水水流模型和硝酸盐运移模型.收集整理大量地下水监测报告和研究报告提供的数据用于模型的建立,详细的地下水位和硝酸盐浓度监测数据以及不同时期的等水位线图用于模型校正.敏感度分析显示面状硝酸盐补给浓度是引起地下水NO3-浓度变化最敏感因子.利用校正的模型分3种管理方案预测了未来30 a内地下水硝酸盐浓度的变化.拟合、验证和预测结果显示该模型可作为石家庄市地下水管理的有效工具.  相似文献   

17.
基于GIS的农业面源硝酸盐地下水污染动态风险评价   总被引：1，自引：0，他引：1  
地下水中的硝酸盐污染具有全球性,这不仅是一个环境问题,也是一个经济和人类健康问题。DRASTIC方法可以进行地下水污染的脆弱性评价,但是却没有涵盖风险的概念,也忽视了污染物随地表水流运动的动态特性。因此,所得结果可能有碍于“欧洲水管理框架指南”在地下水水质管理中的执行。笔者基于DRASTIC方法开发了一个动态风险评价方法,并将其运用于英国北爱尔兰Upper Bann流域中的一个小流域。研究区地下水硝酸盐污染风险评价结果表明,此方法将有效地帮助决策者在流域范围内开展农业面源地下水污染预防措施。“非常高风险”和“高风险”区分别占研究区面积的5.1%和10.5%。此结果可帮助当地政府针对流域内这些“非常高风险”和“高风险”区的特点制订地下水质保护政策。此方法同样适用于任何面源可溶性污染物的地下水污染动态风险评价。  相似文献   

18.
In recent years, nitrate contamination of groundwater has become a growing concern for people in rural areas in North China Plain (NCP) where groundwater is used as drinking water. The objective of this study was to simulate agriculture derived groundwater nitrate pollution patterns with artificial neural network (ANN), which has been proved to be an effective tool for prediction in many branches of hydrology when data are not sufficient to understand the physical process of the systems but relative accurate predictions is needed. In our study, a back propagation neural network (BPNN) was developed to simulate spatial distribution of NO3-N concentrations in groundwater with land use information and site-specific hydrogeological properties in Huantai County, a typical agriculture dominated region of NCP. Geographic information system (GIS) tools were used in preparing and processing input–output vectors data for the BPNN. The circular buffer zones centered on the sampling wells were designated so as to consider the nitrate contamination of groundwater due to neighboring field. The result showed that the GIS-based BPNN simulated groundwater NO3-N concentration efficiently and captured the general trend of groundwater nitrate pollution patterns. The optimal result was obtained with a learning rate of 0.02, a 4-7-1 architecture and a buffer zone radius of 400 m. Nitrogen budget combined with GIS-based BPNN can serve as a cost-effective tool for prediction and management of groundwater nitrate pollution in an agriculture dominated regions in North China Plain.  相似文献   

19.
Understanding the linkage between temporal climate variability and groundwater nitrate concentration variability in monitoring well records is key to interpreting the impacts of changes in land-use practices and assessing groundwater quality trends. This study explores the coupling of climate variability and groundwater nitrate concentration variability in the Abbotsford-Sumas aquifer. Over the period of 1992–2009, the average groundwater nitrate concentration in the aquifer remained fairly steady at approximately 15 mg/L nitrate-N. Normalized nitrate data for 19 individual monitoring wells were assessed for a range of intrinsic factors including precipitation, depth to water table, depth below water table, and apparent groundwater age. At a broad scale, there is a negative correlation between nitrate concentration and apparent groundwater age. Each dedicated monitoring well shows unique, non-uniform cyclical variability in nitrate concentrations that appears to correspond with seasonal (1 year) cycles in precipitation as well as longer-period cycles (~5 years), possibly due to ENSO (El Niño Southern Oscillation) or the Pacific North American (PNA) pattern. These precipitation cycles appear to influence nitrate concentrations by approximately ±30 % of the critical concentration (10 mg/L NO3–N). Not all wells show direct correlation due to many complex local-scale factors that influence nitrate leaching including spatially and temporally variable nutrient management practices and soil/crop nitrogen dynamics (anthropogenic and agronomic factors).  相似文献   

20.
地下水硝酸盐中氮、氧同位素研究现状及展望   总被引：11，自引：0，他引：11  
朱琳  苏小四 《世界地质》2003,22(4):396-403
农业区内浅层地下水中硝酸盐污染普遍存在。为保证供水安全和有效治理污染的地下水体。确定硝酸盐中氮的来源及影响硝酸盐浓度的物理、化学作用尤为重要。由于不同成因的硝酸盐中δ^15N值存在差异，利用N同位素可以确定氮污染源，但有时存在多解性问题；分析硝酸盐的δ^18O值，可提高地下水硝酸盐污染的研究深度。本文综述了用硝酸盐中N、O同位素来区分地下水污染中硝酸盐的不同来源和示踪氮循环过程这两方面的研究进展，并提出一些值得重视的研究方向。  相似文献   

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