Multi-elemental and isotopic fingerprints could help to track changes in mangrove forest productivity and development. This study aims to identify elemental concentrations and stable isotope ratios in inter- and intra-mangrove species along the inundation gradient of the Matang mangrove forest. Matured sun leaves of different mangrove species, namely, Avicennia alba, Rhizophora apiculata, Bruguiera parviflora, and Sonneratia ovata, were collected from the Matang Mangrove Forest Reserve (MMFR). After samples preparation, determination of elemental concentrations and stable isotope ratios were carried out using an Atomic Absorption Spectrometer (AAS) and Isotope Ratio Mass Spectrometry (IRMS) respectively. Trace elements (Mn, Fe, Cu, Zn), cations (Na, K, Ca, Mg) and stable isotope (δ13C and δ15N) ratios were found to follow different patterns along the inundation gradient in the leaves of the sampled plant species. Elemental concentrations of Na, K, Fe, Cu, Zn and Mn along with stable istopic ratio differed significantly within similar and different mangrove species. The results of Rhizophora apiculata elemental concentrations and stable isotope ratios can potentially serve as a baseline to further the research in the MMFR compartments.
This paper emphasized the hydro geochemistry of groundwater in Banting, Kuala Langat, Selangor and the hydrogeological properties which contribute to the potential degrading of the quality of the groundwater. The groundwater characteristics in Banting, Kuala Langat, Selangor are influenced by aquifer types and the geomorphology of the area. Groundwater samples were collected at thirteen monitoring wells from February 2017 to January 2018. The thirteen selected monitoring wells for this study is scattered in agricultural areas. The investigation of groundwater measured the physical parameters which are total dissolved solid, electrical conductivity, salinity and chemical oxygen demands. Major ions such as chloride, calcium, magnesium, potassium, sodium bicarbonate and strontium were also calculated. Iron, manganese and zinc which are heavy metal elements together with phosphate, nitrate and sulfate were considered as inorganic parameters in this analysis. The groundwater samples have influences from the seawater intrusions as significantly high major ions concentration were detected. Non-point pollution from the agricultural practices does not deteriorate the groundwater quality even though the monitoring wells are located in agricultural areas. Groundwater sources in the current study are suitable for domestic use and agricultural irrigation.
The analysis of trace elements and major ions on groundwater wells in Kuala Langat become the aim of this paper for the purposes to investigate the quality of the groundwater to be considered as a suitable alternative water source for domestic purposes. The groundwater sampling was conducted in thirteen stations of groundwater wells. The groundwater samples were taken from the groundwater wells which scatter in agricultural areas in Kuala Langat, Selangor. The major ions parameters have analyzed in the groundwater samples were calcium, magnesium, potassium, bicarbonate, chloride, and sulfate (Ca2+, Mg2+, K+, Na+, HCO3 -, Cl-, SO4 2-). Meanwhile, the trace element parameters were aluminum, iron, manganese, strontium, zinc, and copper (Al, Fe, Mn, Sr, Zn, and Cu). Principal Component Analysis (PCA) was conducted to determine the influence of major ions and trace elements concentration in groundwater. Chloride, potassium, magnesium, strontium, calcium, and bicarbonate (Cl-, Na+, K+, Mg2+, Sr2+, Ca2+, and HCO3 -) were principal parameters in the first component of PCA analysis. The concentration of trace elements shows iron is the high concentration in groundwater samples. Hence, the concentration of iron in current sampling shows exceed the recommended level for raw water of the Ministry of Health. The influences from seawater intrusion and Sodium Adsorption Ratio (SAR) in groundwater also have been discussed.
Articles you may be interested inObservations regarding coarse sediment classification based on multi-beam echo-sounder's backscatter strength and depth residuals in Dutch rivers J. Acoust. Soc. Am. 135, 3305 (2014); 10.1121/1.4875236Using multi-frequency acoustic attenuation to monitor grain size and concentration of suspended sediment in rivers Abstract. In this study, we compared the efficiency of adaptive cluster sampling against SALT (a special kind of probability proportion to size) and simple random sampling for estimating the suspended sediment yield in Gorgan-Rood River, Iran. About 300 sample sets, grouped in different sizes and replicates, were extracted from a five-year daily suspended sediment records, by three study sampling methods including adaptive, SALT and calendar-based. In the next step, total loads were estimated by appropriate sampling estimators; then the loads were compared among themselves and with observed total load as well. The results suggested that all three studied sampling techniques' average estimates showed satisfactory accuracy. However, adaptive and SALT were more precise than simple random sampling. SALT and adaptive cluster sampling obtained the optimum accuracy and precision with an average of almost weekly samplings. The result of this study may suggest the application of the adaptive cluster sampling in river monitoring programs.
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