Environmental Monitoring and Assessment (ENVIRON MONIT ASSESS)

Publisher: Springer Verlag

Journal description

Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment the use of scientific principles in the design of monitoring systems at the local regional and global scales and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment. The journal covers a wide range of pollutants and examines monitoring systems designed to estimate exposure both at the individual and population levels. The journal also focuses on the development of monitoring systems related to the management of various renewable natural resources in for instance agriculture fisheries and forests. The scope of the journal extends to the use of monitoring in pollution assessment and particular emphasis is given to the synthesis of monitoring data with toxicological epidemiological and health data as well as with pre-market screening results. The journal also includes research and monitoring systems that help assess anthropogenic impacts on natural resources and the environment from numerous activities such as harvesting development and land use changes. Geographic information system analyses and remote sensing studies relating such activities to land cover changes that affect e.g. biodiversity and global climate change are also within the purview of the journal. Examples of specific areas of interest are: The design and development of single medium and multimedia monitoring systems sampling techniques optimization of monitoring networks data handling quality and assurance procedures operational costs. The scientific basis for monitoring: scaling methods the use of biological indicators dynamic and commitment models pollution indices etc. Exposure assessment: the development of monitoring systems which allow direct or indirect estimates of pollutant exposure to critical receptors. Methods and procedures of pollution risk assessment relating to sources pathways of exposure trends in time and space anticipatory systems evaluation of environmental quality and of management practice. Monitoring systems designed to detect changes in land use patterns.

Current impact factor: 1.68

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2014 / 2015 Impact Factor 1.679
2013 Impact Factor 1.679
2012 Impact Factor 1.592
2011 Impact Factor 1.4
2010 Impact Factor 1.436
2009 Impact Factor 1.356
2008 Impact Factor 1.035
2007 Impact Factor 0.885
2006 Impact Factor 0.793
2005 Impact Factor 0.687
2004 Impact Factor 0.608
2003 Impact Factor 0.651
2002 Impact Factor 0.503
2001 Impact Factor 0.388
2000 Impact Factor 0.839
1999 Impact Factor 0.485
1998 Impact Factor 0.498
1997 Impact Factor 0.519
1996 Impact Factor 0.526
1995 Impact Factor 0.497
1994 Impact Factor 0.366
1993 Impact Factor 0.384
1992 Impact Factor 0.325

Impact factor over time

Impact factor
Year

Additional details

5-year impact 1.92
Cited half-life 5.20
Immediacy index 0.23
Eigenfactor 0.02
Article influence 0.44
Website Environmental Monitoring and Assessment website
Other titles Environmental monitoring and assessment (Online)
ISSN 0167-6369
OCLC 41559970
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

Springer Verlag

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Author's pre-print on pre-print servers such as arXiv.org
    • Author's post-print on author's personal website immediately
    • Author's post-print on any open access repository after 12 months after publication
    • Publisher's version/PDF cannot be used
    • Published source must be acknowledged
    • Must link to publisher version
    • Set phrase to accompany link to published version (see policy)
    • Articles in some journals can be made Open Access on payment of additional charge
  • Classification
    green

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: In the present study, levels of metal contamination caused by former lead mining area were figured out. For this purpose, Pb, Cd, Cu, Ni, and Mn were determined not only in sediment samples taken from different places of the mining area but also in some plants taken around the mining place. In the digestion of plant samples, dry ashing procedure was applied. Flame atomic absorption spectrophotometer (FAAS) was used in the determination of analytes of interest. All the parameters in digestion and detection procedures were optimized to obtain efficient digestion and high sensitivities for analytes. Standard addition and direct calibration methods were applied to find whether there was any matrix interference to affect the determination of analytes. Mn concentration was found to be the highest for each sample analyzed. Lead concentration was found to be between 41 and 249 mg/kg in soil/sediment samples and between 2.2 and 1003 mg/kg in plant samples. The highest contamination levels for all of the analytes with the exception of Cd were found in current sediment sample.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this study, a food survey was carried out with two purposes: (1) to investigate the levels of nickel (Ni), zinc (Zn), and copper (Cu) in various vegetables randomly collected in supermarkets of La Rochelle and (2) to assess the potential health risk for consumers by estimating the daily intake (EDI) and the target hazard quotient (THQ) for each heavy metal. The concentrations of Ni, Cu, and Zn in selected foodstuffs were detected within the following ranges: (3.2–9.6), (25.2–104.7), and (10.8–75.6) mg/kg (DW), respectively. Results showed that metals are more likely to accumulate in fruit vegetables (8.8, 63.8 and 47.8 mg/kg DW for Ni, Cu, and Zn, respectively), followed by leafy vegetables (6.5, 60.9 and 42.6 mg/kg DW for Ni, Cu, and Zn, respectively) and finally root vegetables (5.4, 40.0 and 27.3 mg/kg DW for Ni, Cu, and Zn, respectively). The levels of the metals match with those reported for similar vegetables from some other parts of the world. For all foodstuffs, EDI and THQ were below the threshold values for Cu (EDI 11.30; THQ 0.283) and Zn (EDI 6.86; THQ 0.023), while they exceeded the thresholds for Ni (EDI 20.71; THQ 1.035), indicating an obvious health risk over a life time of exposure.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • Nahla S. EL-Shenawy · Naglaa Loutfy · Maha F. M. Soliman · Menerva M. Tadros · Ahmed A. Abd El-Azeez

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • Anup Kumar · Neera Singh

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • Ajin AM · Reshma Silvester · Deborah Alexander · Nashad M · Mohamed Hatha Abdulla

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • [Show abstract] [Hide abstract]
    ABSTRACT: Dissolved organic matter is an important component of biogeochemical processes in aquatic environments. Dissolved organic matter may consist of a myriad of different fractions and resultant processing pathways. In early January 2011, heavy rainfall occurred across South East Queensland, Australia causing significant catchment inflow into Lake Wivenhoe, which is the largest water supply reservoir for the city of Brisbane, Australia. The horizontal and vertical distributions of dissolved organic matter fractions in the lake during the flood period were investigated and then compared with stratified conditions with no catchment inflows. The results clearly demonstrate a large variation in dissolved organic matter fractions associated with inflow conditions compared with stratified conditions. During inflows, dissolved organic matter concentrations in the reservoir were fivefold lower than during stratified conditions. Within the dissolved organic matter fractions during inflow, the hydrophobic and humic acid fractions were almost half those recorded during the stratified period whilst low molecular weight neutrals were higher during the flood period compared to during the stratified period. Information on dissolved organic matter and the spatial and vertical variations in its constituents’ concentrations across the lake can be very useful for catchment and lake management and for selecting appropriate water treatment processes.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • Hanan M. Mitwally · John W. Fleeger

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • Da-I Jung · Waziha Farha · A. M. Abd El-Aty · Sung-Woo Kim · Md. Musfiqur Rahman · Jeong-Heui Choi · Md. Humayun Kabir · So Jeong Im · Young-Jun Lee · Lieu. T. B. Truong · Ho-Chul Shin · Geon-Jae Im · Jae-Han Shim

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • Adrien Michez · Hervé Piégay · Jonathan Lisein · Hugues Claessens · Philippe Lejeune

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • R. Christopher Spicer · Harry J. Gangloff

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • [Show abstract] [Hide abstract]
    ABSTRACT: This paper proposes a multistep approach for creating a 3D stochastic model of total petroleum hydrocarbon (TPH) grade in potentially polluted soils of a deactivated oil storage site by using chemical analysis results as primary or hard data and classes of sensory perception variables as secondary or soft data. First, the statistical relationship between the sensory perception variables (e.g. colour, odour and oil–water reaction) and TPH grade is analysed, after which the sensory perception variable exhibiting the highest correlation is selected (oil–water reaction in this case study). The probabilities of cells belonging to classes of oil–water reaction are then estimated for the entire soil volume using indicator kriging. Next, local histograms of TPH grade for each grid cell are computed, combining the probabilities of belonging to a specific sensory perception indicator class and conditional to the simulated values of TPH grade. Finally, simulated images of TPH grade are generated by using the P-field simulation algorithm, utilising the local histograms of TPH grade for each grid cell. The set of simulated TPH values allows several calculations to be performed, such as average values, local uncertainties and the probability of the TPH grade of the soil exceeding a specific threshold value.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • [Show abstract] [Hide abstract]
    ABSTRACT: From 1979 to 1989, ten million tons of phosphogypsum, a waste by-product of the Greek phosphate fertilizer industry, was disposed into an abandoned limestone quarry in Schistos former waste site, Piraeus (Greece). The quarry has been recently closed and remediated using geomembranes and thick soil cover with vegetation. A part of the deposited phosphogypsum has been exposed due to intense rainfall episodes leading to concerns about how could potentially released radioactivity affect the surrounding environment. This study seeks to assess the environmental impact of the phosphogypsum deposited in the Schistos quarry, using laboratory-based γ-ray spectrometry measurements and geographical information systems. Radioactivity concentrations were mapped onto spatial-data to yield a spatial-distribution of radioactivity in the area. The data indicate elevated 226Ra concentrations in a specific area on the steep south-eastern cliff of the remediated waste site that comprises uncovered phosphogypsum and is known to be affected by local weather conditions. 226Ra concentrations range from 162 to 629 Bq/kg, with an average activity being on the low side, compared to the global averages for phosphogypsum. Nevertheless, the low environmental risk may be minimized by remediating this area with geomembranes and thick soil cover with vegetation, a technique, which has worked successfully over the remainder of the remediated quarry.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • [Show abstract] [Hide abstract]
    ABSTRACT: Bayesian networks (BNs), or causal Bayesian networks, have become quite popular in ecological risk assessment and natural resource management because of their utility as a communication and decision-support tool. Since their development in the field of artificial intelligence in the 1980s, however, Bayesian networks have evolved and merged with structural equation modelling (SEM). Unlike BNs, which are constrained to encode causal knowledge in conditional probability tables, SEMs encode this knowledge in structural equations, which is thought to be a more natural language for expressing causal information. This merger has clarified the causal content of SEMs and generalised the method such that it can now be performed using standard statistical techniques. As it was with BNs, the utility of this new generation of SEM in ecological risk assessment will need to be demonstrated with examples to foster an understanding and acceptance of the method. Here, we applied SEM to the risk assessment of a wastewater discharge to a stream, with a particular focus on the process of translating a causal diagram (conceptual model) into a statistical model which might then be used in the decision-making and evaluation stages of the risk assessment. The process of building and testing a spatial causal model is demonstrated using data from a spatial sampling design, and the implications of the resulting model are discussed in terms of the risk assessment. It is argued that a spatiotemporal causal model would have greater external validity than the spatial model, enabling broader generalisations to be made regarding the impact of a discharge, and greater value as a tool for evaluating the effects of potential treatment plant upgrades. Suggestions are made on how the causal model could be augmented to include temporal as well as spatial information, including suggestions for appropriate statistical models and analyses.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • R. Rejani · K. V. Rao · M. Osman · Ch. Srinivasa Rao · K. Sammi Reddy · G. R. Chary · Pushpanjali · Josily Samuel

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
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    ABSTRACT: River Beas originates in the Himalayas and merges into river Sutlej at Harike, a Ramsar wetland. This river is a habitat of the endangered freshwater dolphin, Platanista gangetica minor R. Twenty-five water quality parameters, including eight heavy metals, were studied at four sampling sites over a stretch of 63 km between Beas and Harike towns for pre-monsoon, post-monsoon and winter seasons. Principal component analysis of the data proved to be an effective tool for data reduction as the first three principal components of all the water quality parameters explained 100 % variance. Factor analysis delineated three factors underlying the water quality. Factor 1 comprised pollution-related parameters like BOD, COD, DO, PO4−3 and hardness. Factor 2 was a natural water quality determinant and explained maximum variance in turbidity, alkalinity and TDS. Factor 3 comprised NO3−1, a fertilizer-related parameter. Reflectance values from bands 2 (green), 3 (red) and 4 (near infra-red) of Landsat (TM) digital data were regressed on PO4−3, turbidity and TDS using multiple linear regression analysis. PO4−3 contributed positively to the spectral radiance, whereas TDS contributed negatively. Beta regression analysis revealed that PO4−3 had a positive relation with BOD, whereas turbidity and TDS were negatively regressed with BOD. Artificial neural network models were fitted to the data. Correlations between the target values from ANN for turbidity, BOD and bands 2 (green), 3 (red) and 4 (near infra-red) were highly significant.
    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
  • E. Barca · E. Bruno · D. E. Bruno · G. Passarella

    No preview · Article · Mar 2016 · Environmental Monitoring and Assessment

  • No preview · Article · Mar 2016 · Environmental Monitoring and Assessment
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    ABSTRACT: To investigate the influence of mangrove forest on heavy metal accumulation and storage in intertidal sediments, core sediments from natural mangrove, restored mangrove, and adjacent mud flat spanning the intertidal zone along the south coastline of the most heavily urbanized Deep bay, Guangdong province, China were analyzed. The average concentrations of mercury (Hg) in surface sediments of natural mangrove and restored mangrove were 172 and 151 ng g−1, whereas those of copper (Cu) were 75 and 50 μg g−1, respectively. Compared to those from other typical mangrove wetlands of the world, the metal levels in Shenzhen were at median to high levels, which is consistent with the fact that Shenzhen is in high exploitation and its mangrove suffer intensive impact from human activities. Hg and Cu concentration profiles indicated a higher metal accumulation in surface layers of sediments, in agreement with enrichment of organic matter contents. Maximum concentration, enrichment factors, and excess (background-deducted) concentration inventories of metals (Hg and Cu) were substantially different between environments, decreasing from natural mangrove sediments to restored mangrove sediments to mud flat. Furthermore, metal inputs to Futian mangrove decreased in the order natural mangrove > restored mangrove > mud flat, indicating that mangrove facilitated the accumulation and storage of Hg and Cu in sediment layers.
    No preview · Article · Feb 2016 · Environmental Monitoring and Assessment