The Investigation of Groundwater Hydrochemistry of Khezri Plain, South Khorasan Province, Iran

zarepourfard, Hosniyeh; Aryafar, Ahmad; zia, Hasan

doi:10.26480/wcm.02.2017.13.16

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Multi-spectral remote sensing can not only discriminate the ground object according to the difference of the shape and structure of the image but also discriminate the ground object according to the difference of the spectral characteristics and expand the information amount of remote sensing. Multi-spectral photography for aerial photography and multi-spectral scanning for terrestrial satellites can obtain remote sensing data of different spectral segments [21][22][23][24]. The images or data of the spectral segments can be processed by photographic color synthesis or computer image processing, obtaining more abundant images than conventional methods.…”

Section: Discussionmentioning

confidence: 99%

Application of multispectral remote sensing technology in water quality monitoring

Yin¹,

Guofan²,

Yan³

et al. 2019

Desalination and Water Treatment

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a b s t r a c tIn order to understand the water quality of the Qinghe Reservoir in a timely and accurate manner, multi-spectral remote sensing technology is used to monitor the water quality. Using the OLI data of Landsat satellite, the correlations of single-band and band combination with the chlorophyll concentration and total suspended solids concentration of OLI data are analyzed by SPSS software. The largest correlation coefficient is selected to construct the ratio linear regression model and the nonlinear least squares support vector machine (LS-SVM). The two models are used to study the multi-spectral remote sensing inversion of chlorophyll a and total suspended solids in Qinghe Reservoir. The results show that compared with the ratio linear regression model, the LS-SVM model increases the decision coefficient R 2 of the predicted and actual chlorophyll a from 0.635 to 0.966, and the root mean square error decreases from 4.83 to 2.67; the coefficient R 2 of the predicted and actual suspended solids concentration is increased from 0.686 to 0.88, and the average relative error is reduced from 3.52% to 3.16%. The accuracy of multispectral remote sensing inversion of the concentration of chlorophyll a and total suspended solids is significantly improved by LS-SVM model.

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Section: Discussionmentioning

confidence: 99%

Application of multispectral remote sensing technology in water quality monitoring

Yin¹,

Guofan²,

Yan³

et al. 2019

Desalination and Water Treatment

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“…Then the landslide moved to north under the influence of rainfall and reservoir water. Terracette appeared at the rear of landslide [33][34][35]. The boundary of deformation had demonstrated more evidently at the rear of landslide.…”

Section: Mechanism Of Deformationmentioning

confidence: 97%

Deformation mechanism of Area C landslide in Suijiang, Xiangjiaba Reservoir, Yunnan Province, China

Dai¹,

Wang²,

Huang³

et al. 2019

Desalination and Water Treatment

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The Xiangjiaba project is located in the Shuifu County, Yunnan Province. It is situated approximately 157 km away from the Xiluodu project, 33 km away from the Yibin City and 1.5 km away from the Shuifu County. The Area C landslide of Suijiang County, with a volume of 47 million m 3 , is located on the southern bank of the Xiangjiaba project. The landslide body has been experiencing persistent deformation with a recorded maximum horizontal displacement of 1,480 mm up to December 2015, posing a critical threat to the lives and properties of local residents. Based on the data collected from detailed geological surveys and three-year monitoring, this paper presents the findings of an in-depth study about deformation characteristics and influence factors of Area C landslide. The findings indicate that: the high southern terrain, steep back rock, wavy-bedded sandstone and mudstone interbeds and hydrophilic soil provide necessary conditions for the landslide. The Area C is located in ancient landslide sites, a secondary shear exists in its front. During the rainy season, the displacement rate of Area C increased sharply, and the deformation is more closely associated with the sudden drop of reservoir water than with the sudden rise. The safety factor decreases under reservoir inundation and rainfall. Continuous creep contributes to the movements of Area C landslide, though the movements are slow. The possibility of high-speed slip is very small. Relevant measures should be taken to protect the safety of lives and properties of the immigrants.

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A comprehensive review of the salinity assessment in groundwater resources of Iran

Arasteh

Shoaei²

2023

Acta Geophys.

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The Investigation of Groundwater Hydrochemistry of Khezri Plain, South Khorasan Province, Iran

Cited by 5 publications

References 11 publications

Application of multispectral remote sensing technology in water quality monitoring

Application of multispectral remote sensing technology in water quality monitoring

Deformation mechanism of Area C landslide in Suijiang, Xiangjiaba Reservoir, Yunnan Province, China

A comprehensive review of the salinity assessment in groundwater resources of Iran

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