Inversion of soil pH during the dry and wet seasons in the Yinbei region of Ningxia, China, based on multi-source remote sensing data

Jia, Pingping; Shang, Tian-Hao; Zhang, Junhua; Sun, Yuan

doi:10.1016/j.geodrs.2021.e00399

Cited by 17 publications

(25 citation statements)

References 30 publications

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“…The mean pH level of the studied soils was higher in the dry than during the wet season (Table 3). This agrees with the results of Oyedele et al (2008) and Jia et al (2021) in their studies. This could be as a result of higher levels of EC and CEC obtained during the wet season (Agbaire and Emoyan, 2012;.…”

Section: Resultssupporting

confidence: 94%

Impact of Seasonal Variations and Oil Activities on the Total Concentrations, Geochemical Fractions, And Human Health Problems of Trace Metals in Soils Within the Oil-Bearing Communities of South-South Region of Nigeria

Ebong¹,

Moses²,

Akpabio³

et al. 2022

BJES

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The impacts of oil activities and seasonal variations on the total concentrations, geochemical fractions, and human health problems of trace metals in soils within oil-bearing communities of Akwa Ibom State, Nigeria were examined. Top soils were obtained from Eket, Onna, Esit Eket, and Ibeno local government areas between January and December, 2017. Samples were also collected from Etinan local government area of the State and used as the Control. The samples and Control were subjected to standard analytical procedures and analysed for their physicochemical properties and total metal concentrations. The modified BCR methods were employed for the speciation of metals. The findings revealed that the pH levels were higher during the dry season while, the electrical conductivity, organic matter, and cation exchange capacity of the studied soils were higher in the rainy season. The total mean concentrations of Pb, As, Cd, Cr, Fe, and V were higher in the dry season whereas, Ni was higher in the wet season. Though, their concentrations were within the acceptable limits. Generally, the concentrations of all the parameters in the studied soils were higher than at the control site. Pb, As, Ni, and V existed predominantly in the reducible fraction, Cd and Cr in acid extractable while, Fe existed mostly in the residual fraction in the studied soils. However, at the control site all the metals except Cd existed mainly in the residual fraction. The study showed that all the studied locations were highly contaminated with these metals and substantial seasonal variations were also recorded for the pollution indices. It was also noted that, seasonal changes and oil activities were the key factors affecting the quality of the studied soils. Daily intake rates for the metals through exposure to soil for both the young and old populations were within their required oral reference doses. The non-carcinogenic risks recorded for both populations were less than one. However, both populations were exposed to high Pb and the younger ones were more susceptible. The study revealed the influence of seasonal change and oil activities on the mobility and toxicity of metals in the studied soils.

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Section: Resultssupporting

confidence: 94%

Impact of Seasonal Variations and Oil Activities on the Total Concentrations, Geochemical Fractions, And Human Health Problems of Trace Metals in Soils Within the Oil-Bearing Communities of South-South Region of Nigeria

Ebong¹,

Moses²,

Akpabio³

et al. 2022

BJES

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“…The differences in our results for the physicochemical profile of the water at various times of the year demonstrated how much the seasons affect the aquatic environment's water quality profile. In this present study, higher pH contents were obtained during the dry season compared to those during the rainy season, which agrees with the result obtained by Jia et al [30]. Low pH obtained from both study sites during the rainy season might be a result of excess acidic precipitation added during the rainy season, which increases the acidity of the water in the sampled ecosystems [31].…”

Section: Discussionsupporting

confidence: 92%

Seasonal variations of water physico-chemistry, heavy metal concentrations and ecological abundance and biodiversity of fish from two Lagoon streams

Jolaosho,

Olayeri,

Oladipupo

et al. 2023

Preprint

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Background The fluctuation trends of ecological parameters and the biodiversity of aquatic living resources in freshwater environments are influenced majorly by anthropogenic activities. However, little or no study has been reported on the influence of natural events particularly seasons, on water physico-chemistry, heavy metal concentrations and their impacts on the ecological assemblages of fish in interlinked lagoon systems. The present study was carried out to estimate the influence of seasonal variations on the physico-chemical parameters, heavy metal concentration of water and biodiversity, and richness of fish from two lagoons with a view to ascertaining the significance of seasons on aquatic ecosystems and their resources. Methods The sampling lasted 12 months (from December 2021 to November 2022), during which both dry and rainy seasons were experienced. Samples of water and fish were collected twice per month. Water quality analysis was done using BOYD titration and APHA standard methods. The heavy metal contents were determined using the atomic absorption spectrophotometer. Diversity indices were computed using Microsoft Excel 2015. Results There were inconsistencies in the results obtained, and as a result, statistical differences (P < 0.05) were observed. Most of the water parameters were at their highest during the dry season. High heavy metal concentrations, particularly Cd, Pb, Zn, and Fe at (P < 0.05), were recorded during the dry season. A total of 920 and 953 individual fish from 22 and 26 families were obtained from Lekki Lagoon during the dry and wet seasons, respectively. In the Lagos Lagoon, a total of 1299 and 1772 individual fish, which belong to 24 and 25 families, were collected during the dry and rainy seasons, respectively. The best diversity indices, such as Shannon Weiner, Simpson's dominant index, Margalef, Menhinick, and the evenness index, were obtained during the rainy season. Conclusion Our results suggested that variation in seasons strongly influenced water quality parameters and heavy metal concentrations, as well as fish species biodiversity in the study areas. Hence, seasonal patterns in relation to aquatic ecosystems should be taken into account when making long-term policies for the sustainability of fisheries resources.

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“…Therefore, the best estimation model obtained in this study would not be applicable in other seasons; further research is required to extend the models seasonally. In addition, we used only linear regression to construct the estimation models; however, many studies have confirmed that machine-learning-based modelling methods, such as support vector machine, back propagation neural network, and random forest algorithms, also perform well in soil prediction [ 24 , 58 , 59 ]. These methods will be evaluated in subsequent research.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Soil Salt Content and Organic Matter on Arable Land in the Yellow River Delta by Combining UAV Hyperspectral and Landsat-8 Multispectral Imagery

Sun

Jiang

et al. 2022

Sensors

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Rapid and large-scale estimation of soil salt content (SSC) and organic matter (SOM) using multi-source remote sensing is of great significance for the real-time monitoring of arable land quality. In this study, we simultaneously predicted SSC and SOM on arable land in the Yellow River Delta (YRD), based on ground measurement data, unmanned aerial vehicle (UAV) hyperspectral imagery, and Landsat-8 multispectral imagery. The reflectance averaging method was used to resample UAV hyperspectra to simulate the Landsat-8 OLI data (referred to as fitted multispectra). Correlation analyses and the multiple regression method were used to construct SSC and SOM hyperspectral/fitted multispectral estimation models. Then, the best SSC and SOM fitted multispectral estimation models based on UAV images were applied to a reflectance-corrected Landsat-8 image, and SSC and SOM distributions were obtained for the YRD. The estimation results revealed that moderately salinized arable land accounted for the largest proportion of area in the YRD (48.44%), with the SOM of most arable land (60.31%) at medium or lower levels. A significant negative spatial correlation was detected between SSC and SOM in most regions. This study integrates the advantages of UAV hyperspectral and satellite multispectral data, thereby realizing rapid and accurate estimation of SSC and SOM for a large-scale area, which is of great significance for the targeted improvement of arable land in the YRD.

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Inversion of soil pH during the dry and wet seasons in the Yinbei region of Ningxia, China, based on multi-source remote sensing data

Cited by 17 publications

References 30 publications

Impact of Seasonal Variations and Oil Activities on the Total Concentrations, Geochemical Fractions, And Human Health Problems of Trace Metals in Soils Within the Oil-Bearing Communities of South-South Region of Nigeria

Impact of Seasonal Variations and Oil Activities on the Total Concentrations, Geochemical Fractions, And Human Health Problems of Trace Metals in Soils Within the Oil-Bearing Communities of South-South Region of Nigeria

Seasonal variations of water physico-chemistry, heavy metal concentrations and ecological abundance and biodiversity of fish from two Lagoon streams

Estimation of Soil Salt Content and Organic Matter on Arable Land in the Yellow River Delta by Combining UAV Hyperspectral and Landsat-8 Multispectral Imagery

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