Improving seabed classification from Multi-Beam Echo Sounder (MBES) backscatter data with visual data mining

Multi-Beam Echo Sounders are often used for classification of seabed type, as there exists a strong link between sonar backscatter and sediment characteristics of the seabed. Most of the methods for seabed classification from MBES backscatter create a highly-dimensional data set of statistical features and then use a combination of Principal Component Analysis and k-means clustering to derive classes. This procedure can be time consuming for contemporary large MBES data sets with millions of records. This paper examines the complexity of one of most commonly used classification approaches and suggests an alternative where feature data set is optimised in terms of dimensionality using computational and visual data mining. Both the original and the optimised method are tested on an MBES backscatter data set and validated against ground truth. The study found that the optimised method improves accuracy of classification and reduced complexity of processing. This is an encouraging result, which shows that bringing together methods from acoustic classification, visual data mining, spatial analysis and remote sensing can support the unprecedented increases in data volumes collected by contemporary acoustic sensors.     

Environmental geochemistry studies in the area of Idrija mercury mine,Slovenia

Five centuries of mining and processing of mercury ore in the Idrija area have resulted in widespread contamination of different environmental compartments. Environmental impacts on a regional and local scale, caused by atmospheric emissions from the Idrija ore roasting plant, were established in the investigations of mercury spatial distribution in soil and attic dust in 160 km² area. Very high values were determined in the Idrijca River valley, and they decrease exponentially with the distance from Idrija. Mercury concentrations in attic dust are higher than in surrounding soils and the attic dust/soil ratio changes with distance. Measurements of mercury in the air confirmed widespread dispersion of mercury and showed highly elevated mercury concentrations around roasting plant and mine ventilation shaft. Beside, systematic monitoring of mercury contents in the stream sediments has demonstrated that huge amounts of mercury are stored in areas where ancient overbank sediments were deposited, and there was no decrease in mercury concentration in active sediments during the last 15 years. Recently, interesting and extremely polluted locations of historical small-scale roasting sites in the Idrija surroundings were discovered. Ongoing geochemical study aims to determine the extreme pollution and significance of these sites for wider contamination of soils and aquatic systems. Presented studies have shown that Hg mining in Idrija caused intense pollution of local and regional environment including the aquatic systems in the Gulf of Trieste, which is seen as the final sink of a major part of the Hg stored in soils and river sediments in the Idrija area.     

Solid phase extraction of Cu (II), Ni (II), Co (II), and Fe (III) ions in water samples using salicylaldehyde benzoylhydrazone on Amberlite XAD-4 and their determinations by flame atomic absorption spectrometry

A multi element preconcentration procedure for solid phase extraction on Amberlite XAD-4 as their salicylaldehyde benzoylhydrazone chelates and flame atomic absorption spectrometric determination of some trace metal ions in water samples are proposed in this work. The influences of some analytical parameters, including pH of aqueous solution, amounts of reagent, flow rates of sample and eluent solutions, and sample volume on the quantitative recoveries of copper, nickel, cobalt, and iron were investigated. The effects of concomitant ions on the retentions of the analytes were also examined. The developed method has been successfully applied to the determination of metal ions in some real samples, including, tap water, river water, spring water, and waste water.     

不同放牧强度对高寒草甸生态系统呼吸的早期影响

放牧是高寒草甸一种重要的利用方式,对土壤理化性质和植被会产生重要影响,研究放牧对高寒草甸生态系统呼吸的影响对估算碳交换和制定合理放牧政策具有重要意义.利用静态箱-气象色谱法,于2012年8月到2013年7月在青藏高原东缘高寒草甸对轻度、中度和重度3种放牧强度下的生态系统呼吸进行每月至少一次的连续观测,以估算高寒草甸生态系统呼吸,并探讨放牧强度对生态系统呼吸的作用.结果显示:轻度、中度和重度放牧条件下,年均生态系统呼吸(以C计)分别为226.33±62.30、213.63±53.22和215.15±53.19 mg m~(-2) h~(-1),三者之间无显著差异(P0.05);在生长季生态系统呼吸分别为367.97±47.86、324.62±44.95和348.37±43.10 mg m~(-2) h~(-1),在非生长季生态系统呼吸分别为105.81±22.13、96.55±14.69和110.61±16.89 mg m~(-2) h~(-1),在不同放牧强度下生态系统呼吸均表现出明显的季节特征,但在相同季节不同放牧强度间生态系统呼吸差异不显著;月累积降水量与生态系统呼吸呈显著正相关关系;该区域放牧地生态系统平均年累积呼吸为472.63 g m~(-2) h~(-1).本研究表明,在试验初期不同放牧强度对生态系统呼吸无显著作用.     

Self-contamination of aquaculture cages in shallow water

Fish farms, which initially colonized quiet and protected natural coastal areas, are now frequently installed in open flow zones, due to the lack of space along coasts and to the emergence of new environmental constraints. For the past two decades, a salmon fish farm has been located inside the roadstead of Cherbourg (France) to benefit from both sea protection and tide currents which regularly refresh the water. In spite of these favourable environmental conditions, periods of non-negligible fish mortalities have been observed to occur without clear evidence of their origin. This motivated the turbidity measurements and the numerical simulations presented in this paper. Firstly, it is shown that high turbidities in the farm site under study are mainly due to the flow acceleration under the cages, which causes the re-suspension of sediments and bio-deposits. Secondly, particles which enter the fishnet can have different origins (external source, bottom, or the net itself). Numerical simulations, based on the Reynolds equations and on the discrete random walk model for particle dispersion, suggest that the rear area of the net can be reached by particles emerging from below the net. It is observed that turbulent dispersion is a key ingredient for such a behaviour, as it can lead particles towards a large recirculation cell behind the net. Dispersion by realistic unsteady vortices has also been analysed by means of a Lattice-Boltzmann model. Though these computations involve smaller Reynolds numbers, they confirm qualitatively the observations of the random walk model. In addition, they suggest that vortex shedding and unsteady recirculation cells near the bottom can force particles from the sand bed to be lifted up and reach the rear of the net.     

Assessing trace metal contamination and organic matter in the brackish lakes as the major source of potable water

Environmental Geochemistry and Health - On small and medium karstic coastal islands in the Adriatic Sea, brackish lakes are often the only source of freshwater. Therefore, it is important to...     

Mobilization of arsenic from technosols in a short-term dynamic column experiment

The release of arsenic from technosols was monitored using short-term dynamic leaching of homogeneous soil columns with native solution. Large amounts of readily available arsenic (16 mg kg^?1) were extracted from arsenic-rich ashy samples while representing less than 4 wt % of their total contents. In the first hour of leaching, the observed concentrations of water-soluble arsenic ranged from 650 to 830 μg L^?1, further increasing in the following leachates. The results showed that the concentrations of water-soluble arsenic were several times higher than the recommended limits for drinking water. Yet, most of arsenic is strongly bound to amorphous aluminosilicate phases. The contents of arsenic in the studied plant samples, including calculated transfer factors, confirmed that increased concentrations of arsenic in the soil of geological environment affected by dam failure of a coal ash pond may have a negative effect on crops since arsenic becomes part of the food chain.     

Effects of paclobutrazol (PP333) on lead and zinc accumulations in Pseudostellaria maximowicziana

Paclobutrazol (PP333) can enhance the resistance capabilities of plants to stress conditions. In this study, PP333 were sprayed on the lead (Pb) and zinc (Zn) accumulator plant Pseudostellaria maximowicziana, which was planted in Pb–Zn contaminated soil, and the effects of PP333 on Pb and Zn accumulation levels in P. maximowicziana were studied. Spraying 10?mg/L PP333 increased, while 20, 30 and 50?mg/L PP333 decreased, the biomass of P. maximowicziana compared with the control. The 10?mg/L PP333 had no significant effects on the photosynthetic pigment contents of P. maximowicziana compared with the control, while the other doses increased the contents. The activities of antioxidant enzymes (superoxide dismutase, peroxidase and catalase) and the Pb and Zn concentrations in P. maximowicziana were increased by PP333 compared with the control. These items had the increase trend with the increase of PP333 concentrations. Only 10 and 20?mg/L PP333 increased the amount of Pb extracted by P. maximowicziana shoots, while all of the doses increased the amount of Zn extracted by P. maximowicziana shoots. Thus, low concentration of PP333 could promote the growth and heavy metal extraction ability of P. maximowicziana shoots, with the 10?mg/L being the best.     

Functional regression on remote sensing data in oceanography

The aim of this study is to propose the use of a functional data analysis approach as an alternative to the classical statistical methods most commonly used in oceanography and water quality management. In particular we consider the prediction of total suspended solids (TSS) based on remote sensing (RS) data. For this purpose several functional linear regression models and classical non-functional regression models are applied to 10 years of RS data obtained from medium resolution imaging spectrometer sensor to predict the TSS concentration in the coastal zone of the Guadalquivir estuary. The results of functional and classical approaches are compared in terms of their mean square prediction error values and the superiority of the functional models is established. A simulation study has been designed in order to support these findings and to determine the best prediction model for the TSS parameter in more general contexts.     

Fertilizer drawn forward osmosis as an alternative to 2nd pass seawater reverse osmosis: Estimation of boron removal and energy consumption

• The boron concentration in diluted DS can satisfy the irrigation water standard. • The boron concentration in diluted DS equaled that in two-pass RO permeate. • FDFO process SEC was slightly lower than the 2nd pass RO SEC. • FDFO has potential as an alternative to 2nd pass RO for irrigation water production. Agriculture is the largest consumer of freshwater. Desalinated seawater is an important alternative water source for sustainable irrigation. However, some issues of the current desalination technology hinder its use for agriculture irrigation, including low boron removal and high energy consumption. This study systematically explored the feasibility of employing fertilizer drawn forward osmosis (FDFO) as an alternative to 2nd pass reverse osmosis (RO) by considering the boron removal performance and specific energy consumption (SEC). Different operating conditions were investigated, such as the boron and NaCl concentrations in feed solution (FS), draw solution (DS) concentration, pH, the volume ratio of FS to DS, membrane orientation, flow rate, and operating temperature. The results indicated that a low boron concentration in FS and high pH DS (pH= 11.0) decreased the boron solute flux, and led to low final boron concentration in the DS. The other operating conditions had negligible influence on the final DS boron concentration. Also, a lower flow rate and higher specific water flux with certain permeate water volumes were conducive to reducing the SEC of the FDFO process. Overall, our study paves a new way of using FDFO in irrigation, which avoids the phytotoxicity and human health risk of boron. The results show the potential of FDFO as an alternative to 2nd pass RO for irrigation water production.