Effect of salt crust on the soil temperature of wet sandy soils DOI
Xinhu Li, Hongchao Wang

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 362, P. 110346 - 110346

Published: Dec. 6, 2024

Language: Английский

Metal and nutrient uptake by natural wetland plants in a tropical man-made wetland of Sri Lanka DOI Creative Commons

Michael Rodrigo,

N. S. Abeysingha, D.M.S. Duminda

et al.

Soil & Environmental Health, Journal Year: 2024, Volume and Issue: 2(2), P. 100080 - 100080

Published: April 2, 2024

Phytoremediation of contaminated soil is an environmentally friendly approach to minimize the contamination nutrients and heavy metals in ecosystem. Hence, selecting appropriate plants with phytoextraction potential paramount remediating soils. This study aimed investigate nutrient metal contents four natural aquatic i.e. Cyperus rotundus (L), Eleocharis dulcis (Burm.f.), Typha angustifolia (L.), Schoenoplectus grossus (L. F.) grown meadow a small reservoir at Mankadawala Anuradhapura, Sri Lanka, assess their ability. Nutrient these were assessed using plant samples collected 32 sampling points meadow. Biological concentration, accumulation, translocation factors determined element mobility Total K, Na, Mg, Ca, Zn, Cu, Fe, Mn, As, Pb, Cd measured Inductivity Couple Plasma Optical Emission Spectrophotometer. ANCOVA, mean separation by Bonferroni 95% confidence level, was used as statistical test best type terms absorption. Shoots exhibited significantly greater values (p<0.05) for P, Cd, Fe than roots. translocation, concentration not different among species. However, >1 all species, indicating ability be hyperaccumulators. angustifolia, its' high accumulation highest aesthetic appeal, selected overall wetland species phytoremediation purposes.

Language: Английский

Citations

2

Phytoremediation: Sustainable Approach for Heavy Metal Pollution DOI Creative Commons
Abhijit Kumar, M. Dadhwal, Gunjan Mukherjee

et al.

Scientifica, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Rapid industrialization, mining, and other anthropogenic activities have poisoned our environment with heavy metals, negatively impacting all forms of life. Heavy metal pollution causes physiological neurological disorders, as metals are endocrine disrupters, carcinogenic, teratogenic. Therefore, it becomes mandatory to address the challenge contamination on a global scale. Physical chemical approaches been employed for pollutant removal detoxification, but these methods cannot be adopted universally due high cost, labor intensiveness, possible negative impact natural microflora. Phytoremediation is one preferred safest environmental management its efficiency low cost investment. The plant can uptake pollutants from water soil through an intense root network via rhizofiltration process phytostabilization, phytovolatilization, accumulation. At cellular level, phytoremediation relies mechanisms cells, e.g., absorption, transpiration, intracellular storage, accumulation counter detrimental effects pollutants. It widely accepted because novelty, efficiency; however, comparatively slower. In addition, plants store long time again become at end life cycle. current review summarizes potential cure pollutants, released well sources. will provide insight into advancement evolution advanced techniques like nanoremediation that improve rate phytoremediation, along making sustainable, cost‐effective, economically viable.

Language: Английский

Citations

1

Electrokinetics promoted cadmium dissociation, phytoremediation of contaminated plateau red soil and the influence differences between electric field dimensions DOI Creative Commons
Xuan Zhu, Ming Zhao, Zhengyang Duan

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 17, 2024

Abstract Aims The enhanced performance of electrokinetics(EK) on the cadmium (Cd) dissociation, redistribution and phytoremediation Cd-contaminated plateau red soil has been investigated based application electric field in different dimensions. Methods After Sedum plumbizincicola cutting growth for 30 d, periodic reversal direct-current (DC) fields were applied during 150 days 10.5 cycles. Results Unlike uniform distribution change pH P1–P9 1D treatment, more points (P1–P9) multidimensional exposed to influence anode. In electrokinetic–assisted (EKPR), plumbizincicola can alleviate acid-alkalization caused by EK, especially acidification effect anode under high voltage (10–20 V). Cd speciation dissociation studies show that EK promotes into pore water, which is conducive phytoextraction. The DC height significantly than biomass of with inconspicuous among difference regions. Overall, EKPR (voltage 5–10 V) can promote effectively due synergistic directly interface action indirectly improve evolution, bioavailability at soil–water interface. appropriate arrangement EKPR2 5 V Sedum plumbizincicola, respectively. Conclusions EK-induced heavy metals evolution effective one important ways remediation performance, it necessary regulate intensity ensure strengthening EKPR.

Language: Английский

Citations

0

Predicting Stream Flows and Dynamics of the Athabasca River Basin Using Machine Learning DOI Open Access

Sue Kamal,

Junye Wang, M. Ali Akber Dewan

et al.

Water, Journal Year: 2024, Volume and Issue: 16(23), P. 3488 - 3488

Published: Dec. 3, 2024

Streamflow forecasting is of great importance in water resource management and flood warnings. Machine learning techniques can be utilized to assist with river flow forecasting. By analyzing historical time-series data on flows, weather patterns, other relevant factors, machine models learn patterns relationships present predictions about future flows. In this study, an autoregressive integrated moving average (ARIMA) model was constructed predict the monthly flows Athabasca River at three monitoring stations: Hinton, Athabasca, Fort MacMurray Alberta, Canada. The stations upstream, midstream, downstream were selected represent different climatological regimes River. Time-series used for training identify correlations using averages, exponential smoothing, Holt–Winters’ method. model’s compared against observed data. results show that determination coefficients 0.99 all stations, indicating strong correlations. root mean square errors (RMSEs) 26.19 61.1 15.703 MacMurray, respectively, absolute percentage (MAPEs) 0.34%, 0.44%, 0.14%, respectively. Therefore, ARIMA captured seasonality trends stream demonstrated a robust performance hydrological This provides insights

Language: Английский

Citations

0

Effect of salt crust on the soil temperature of wet sandy soils DOI
Xinhu Li, Hongchao Wang

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 362, P. 110346 - 110346

Published: Dec. 6, 2024

Language: Английский

Citations

0