Seasonal study on soil salinity and its relation to other properties at Satkhira district in Bangladesh

Kumar, Upendra; Mitra, J.; Mia, MY

doi:10.3329/pa.v30i2.42488

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…Estimated soil EC and moisture values showed good agreement with Shaibur et al. (2017) and Kumar et al. (2019) .…”

Section: Discussionsupporting

confidence: 81%

“…Moreover, agricultural soils are more likely to be exposed to salt deposition due to its more susceptibility to inundation and thus could show slightly high EC values. In another study, Kumar et al. (2019) reported a dry-season soil salinity range between 3.92-7.69 mS cm −1 in Shyamnagar soils.…”

Section: Discussionmentioning

confidence: 92%

“…and human systems (shrimp cultivation; lowering of freshwater inflow, etc.) ( Hasan et al., 2019 ; Kumar et al., 2019 ; Anjum et al., 2018 ). Soil Resources Development Institute ( SRDI 2010 ), Bangladesh dataset suggests that the salinity affected area has climbed by 1.27 times between 1973 (83.3 million ha) and 2009 (105.6 million ha).…”

Section: Introductionmentioning

confidence: 99%

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Phytosociology and biodiversity of roadside herbs in a salinity-affected coastal area of Bangladesh

Selim¹,

Bari²,

Rahaman³

et al. 2021

Heliyon

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Soil salinity in the coastal areas of Bangladesh has been rising. The responses of forest communities to the rise of salinity are somehow documented. However, the adjustments of non-forest plant communities against salinity are still limited in the literature. This study explains the phytosociology and the herbaceous plant biodiversity along with the soil salinity gradients in Shyamnagar, Bangladesh. Twenty-five roadside quadrants were systematically selected and studied for herbaceous plant diversity and soil properties. Soil Electrical conductivity (EC) and moisture show a generally rising trend from the north to the south. Moreover, the quadrants closer to the river or aquaculture with low elevation represent the salinity hot spots. About 1116 herbaceous plants belonging to 11 species were recorded. Croton bonplandianum baill is the dominant species and showed higher adaption capacity against soil EC values. Four out of 25 quadrants with higher EC, moisture and lower elevation recorded no plants. The herbaceous plant biodiversity reveals a strong spatial pattern and tendency to shrink with the rise of soil salinity while progressing towards the southeast direction. The area shows aggregated population, contagious distribution of plant species, and accommodates four dominant clusters. Roadside herbs not only hold medicinal value but also offer important cooking fuel choices to the fuel-scarce coastal communities. The outcome of this study provides important insights into herbaceous plant diversity and its relationships with soil salinity. Overall, the study outcomes improve our understanding of the impact of environmental stressors on the distribution of herbaceous plants in the coastal area.

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“…Estimated soil EC and moisture values showed good agreement with Shaibur et al. (2017) and Kumar et al. (2019) .…”

Section: Discussionsupporting

confidence: 81%

Section: Discussionmentioning

confidence: 92%

See 1 more Smart Citation

Phytosociology and biodiversity of roadside herbs in a salinity-affected coastal area of Bangladesh

Selim¹,

Bari²,

Rahaman³

et al. 2021

Heliyon

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show abstract

“…High salinity can be found in Shayamnagar, Debhata and Assasuni upazila 27 . In the dry season, P1 pH ranged from 6.5 to 7.5, whereas P2 pH ranged from 6.2 to neutral (7.2) in these areas which is quite alarming 77 . Morshed et al 26 have recommended to do only cultivate shrimp as the upazilas contain high level of salinity and not appropriate for other crops.…”

Section: Discussionmentioning

confidence: 88%

Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh

Sarkar,

Rudra,

Sohan

et al. 2023

Sci Rep

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Soil salinity is a pressing issue for sustainable food security in coastal regions. However, the coupling of machine learning and remote sensing was seldom employed for soil salinity mapping in the coastal areas of Bangladesh. The research aims to estimate the soil salinity level in a southwestern coastal region of Bangladesh. Using the Landsat OLI images, 13 soil salinity indicators were calculated, and 241 samples of soil salinity data were collected from a secondary source. This study applied three distinct machine learning models (namely, random forest, bagging with random forest, and artificial neural network) to estimate soil salinity. The best model was subsequently used to categorize soil salinity zones into five distinct groups. According to the findings, the artificial neural network model has the highest area under the curve (0.921), indicating that it has the most potential to predict and detect soil salinity zones. The high soil salinity zone covers an area of 977.94 km2 or roughly 413.51% of the total study area. According to additional data, a moderate soil salinity zone (686.92 km2) covers 30.56% of Satkhira, while a low soil salinity zone (582.73 km2) covers 25.93% of the area. Since increased soil salinity adversely affects human health, agricultural production, etc., the study's findings will be an effective tool for policymakers in integrated coastal zone management in the southwestern coastal area of Bangladesh.

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“…The magnitude of EC is decreasing with the fining nature of the sediments in the downstream direction (Saha et al 2017). The mean EC value of the sediments was 1.16 ds/m that indicates very low or negligible effects of salinity of the sediments of the Rangpur division (SRDI 2010; Kumar et al 2019).…”

Section: Electrical Conductivity (Ec)mentioning

confidence: 99%

Arsenic geochemistry of the sediments of the shallow aquifer and its correlation with the groundwater, Rangpur, Bangladesh

2021

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The geochemical analysis of the shallow aquifer sediments of the area of investigation reveals that they are acidic in nature. The mean electrical conductivity of the deposits is 1.16 dS/m that indicates very low or negligible effects of salinity of the sediments of the Rangpur division. The median values of the concentrations of total organic carbon, total nitrogen and sulphur are 0.20%, 0.02% and 58.68 mg/kg, respectively. The trend of the average heavy metal concentrations of the investigated area can be shown as Fe > As > Cu > Zn. The average concentrations of arsenic of the sediments of the study area are 3.52 mg/kg. Sulphur is significantly, positively correlated with copper and zinc (p < 0.05) and insignificantly and positively correlated with arsenic content of the sediments that indicates that the copper and zinc occur as sulphide minerals. The mean concentrations of arsenic in the groundwater are 1.1793 μg/L. The concentration of all the water samples is below the permissible limit of World Health Organization (10 μg/L). The arsenic content of groundwater shows the positive correlations with the arsenic, iron and copper concentrations of the sediments. This implies that the arsenic of groundwater derived from the geogenic source, like the dissolution of arsenic bearing minerals of the aquifer sediments—pyrite and arsenopyrite. The acidic nature, texture and minor quantities of total organic carbon are the factors that also influence the low arsenic enrichment in the investigated sediments and its release to the groundwater. The contemporary arsenic specification research works showed that As(III) the most common species in natural water and foodstuffs and the arsenic is inorganic from source in Bangladesh.

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Seasonal study on soil salinity and its relation to other properties at Satkhira district in Bangladesh

Cited by 8 publications

References 5 publications

Phytosociology and biodiversity of roadside herbs in a salinity-affected coastal area of Bangladesh

Phytosociology and biodiversity of roadside herbs in a salinity-affected coastal area of Bangladesh

Coupling of machine learning and remote sensing for soil salinity mapping in coastal area of Bangladesh

Arsenic geochemistry of the sediments of the shallow aquifer and its correlation with the groundwater, Rangpur, Bangladesh

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