scholarly journals ASSESSMENT OF HYDROPHYSICAL AND HYDROCHEMICAL FEATURES OF WATER BODIES: A CASE STUDY OF LAKE IMANTAU, KAZAKHSTAN

2020 ◽  
Vol 5 (2) ◽  
pp. 95-100
Author(s):  
Zhumay Yerlan ◽  
Khussainov Abilzhan ◽  
Kurmanbayeva Aigul ◽  
Skipin Leonid ◽  
Onerkhan Gulzhaina

The lakes of “Kokshetau” State National Natural Park (SNNP) are scanty and have a mosaic, fragmented character due to the present ecological state. In current work, the chemistry and degree of pollution in this lake is studied. The present research aimed to analyse the hydrophysical and hydrochemical parameters of lake Imantau of “Kokshetau” SNNP. This assessment includes dynamics of the hydrochemical water composition and benthal deposits, heavy metals content, and morphometric indicators of the lake using Earth’s remote sensing technique. This technique is based on Earth’s retrospective multichannel satellite images Landsat. Ionic water composition, total mineralization, hydrogen index, gas regime, and nutrient content (nitrates, nitrites) are determined. To assess the geochemical state of benthal deposits, the parameters like concentration coefficient (Cc), maximum allowable concentration (MAC) of pollutants in the soil, and total pollution index (Zc) are calculated. The results of this work is measured in terms of changes takes place in lake depth, water mass volume, water hardness, chemical concentrations.

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Ibrahim Shaik ◽  
S. K. Begum ◽  
P. V. Nagamani ◽  
Narayan Kayet

AbstractThe study demonstrates a methodology for mapping various hematite ore classes based on their reflectance and absorption spectra, using Hyperion satellite imagery. Substantial validation is carried out, using the spectral feature fitting technique, with the field spectra measured over the Bailadila hill range in Chhattisgarh State in India. The results of the study showed a good correlation between the concentration of iron oxide with the depth of the near-infrared absorption feature (R2 = 0.843) and the width of the near-infrared absorption feature (R2 = 0.812) through different empirical models, with a root-mean-square error (RMSE) between < 0.317 and < 0.409. The overall accuracy of the study is 88.2% with a Kappa coefficient value of 0.81. Geochemical analysis and X-ray fluorescence (XRF) of field ore samples are performed to ensure different classes of hematite ore minerals. Results showed a high content of Fe > 60 wt% in most of the hematite ore samples, except banded hematite quartzite (BHQ) (< 47 wt%).


Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7415
Author(s):  
Ilyas Khurshid ◽  
Imran Afgan

The main challenge in extracting geothermal energy is to overcome issues relating to geothermal reservoirs such as the formation damage and formation fracturing. The objective of this study is to develop an integrated framework that considers the geochemical and geomechanics aspects of a reservoir and characterizes various formation damages such as impairment of formation porosity and permeability, hydraulic fracturing, lowering of formation breakdown pressure, and the associated heat recovery. In this research study, various shallow, deep and high temperature geothermal reservoirs with different formation water compositions were simulated to predict the severity/challenges during water injection in hot geothermal reservoirs. The developed model solves various geochemical reactions and processes that take place during water injection in geothermal reservoirs. The results obtained were then used to investigate the geomechanics aspect of cold-water injection. Our findings presented that the formation temperature, injected water temperature, the concentration of sulfate in the injected water, and its dilution have a noticeable impact on rock dissolution and precipitation. In addition, anhydrite precipitation has a controlling effect on permeability impairment in the investigated case study. It was observed that the dilution of water could decrease formation of scale while the injection of sulfate rich water could intensify scale precipitation. Thus, the reservoir permeability could decrease to a critical level, where the production of hot water reduces and the generation of geothermal energy no longer remains economical. It evident that injection of incompatible water would decrease the formation porosity. Thus, the geomechanics investigation was performed to determine the effect of porosity decrease. It was found that for the 50% porosity reduction case, the initial formation breakdown pressure reduced from 2588 psi to 2586 psi, and for the 75% porosity reduction case it decreased to 2584 psi. Thus, geochemical based formation damage is significant but geomechanics based formation fracturing is insignificant in the selected case study. We propose that water composition should be designed to minimize damage and that high water injection pressures in shallow reservoirs should be avoided.


2009 ◽  
Vol 3 (1) ◽  
pp. 135-147
Author(s):  
Adiane Conceição de Oliveira ◽  
Mauro Alexandre de Oliveira Prioste ◽  
Tathiana Chaves de Souza
Keyword(s):  

2018 ◽  
Vol 2 (3) ◽  
pp. 135-150 ◽  
Author(s):  
Çiğdem KAPTAN AYHAN ◽  
Neşe KARAKAYA ◽  
Nezahat KIRIT ◽  
ERMAN ÖZDEMİR

2021 ◽  
Vol 13 (14) ◽  
pp. 2754
Author(s):  
Yi Wang ◽  
Ping Yang ◽  
Michael D. King ◽  
Bryan A. Baum

We present an improved remote sensing technique to infer an optimal habit/shape model for ice particles in cirrus clouds using multi-angle polarimetric measurements at 865 nm made by the Airborne Multi-angle SpectroPolarimeter Imager (AirMSPI) instrument. The common method of ice model inference is based on intensity (total reflectivity) measurements, which is generally not applicable to optically thin ice clouds (i.e., cirrus clouds) where single scattering dominates. The new approach is able to infer an ice model in clouds with optical thicknesses smaller than 5. The improvement is made by first assuming the optical thickness retrieved using total reflectivity. Subsequently, the polarized reflectivity is calculated based on look-up tables generated from simulated polarized reflectances computed for cirrus clouds in conjunction with eight ice particle models. The ice particle model that leads to the closest fit to the measurements is regarded as the optimal ice particle model. Additionally, an alternative method is applied that does not consider polarized reflectivity. These two methods are applied to a data sample as a proof-of-concept study where AirMSPI observed a single cirrus layer. In this case study, the hexagonal column aggregate model works for most pixels both with and without considering polarized reflectivities. The retrieval cost function is high when the camera pairs with large zenith angles are included in the retrievals. This result suggests that further studies will be necessary to have a better understanding of all eight selected ice particle models at scattering angles smaller than 100°.


2016 ◽  
Vol 61 (No. 2) ◽  
pp. 55-61 ◽  
Author(s):  
Asciuto Antonio ◽  
Borsellino Valeria ◽  
D'Acquisto Marcello ◽  
Franco Caterina Patrizia Di ◽  
Schimmenti Mariarosa Di Gesaro and Emanuele
Keyword(s):  

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