Effects of acid rain on plant growth: A meta-analysis

Shi, Zhaoji; Zhang, Jiaen; Xiao, Zeheng; Lü, Tao; Ren, Xiaoqiao; Wei, Hui

doi:10.1016/j.jenvman.2021.113213

Cited by 34 publications

(19 citation statements)

References 50 publications

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“…The pH of acid rain is less than 5.6 [37]. Accordingly, the clay samples in our study were classified as acidic clay (pH≤5.6) or normal clay (pH>5.6).…”

Section: Acidity and Sulfate In Claymentioning

confidence: 99%

Weathering of Clay-Pyrite of Coal-Bearing Formation in the Endemic Fluorosis Area of Southwest China

Xiuping¹,

Yang²,

Liang³

et al. 2022

Pol. J. Environ. Stud.

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It is common practice to use clay for coal-burning in fluorosis areas on the border of Yunnan, Guizhou, where coal-bearing strata is widely outcropped, and clay for coal-burning is usually considered to be collected from efflorescent clay in coal-bearing strata by some scholars. However, the relevant chemical properties of the clay, the mechanism that causes the fluorosis are not clear and the chemical forms of fluorine species present during transfer from the clay to the human body remain unclear. In this study, approximately 71 samples of efflorescent clay of coal-bearing strata were collected from seven counties in this area, and the results showed that those samples had a high-fluorine content with an average of 751 μg•g -1 (237-1,764 μg•g −1 , n = 71). The clays were rich in acid with an average pH of 5.81 (2.39-8.25, n = 71) and the acidic clays accounted for 52% of the total clay samples. The sulfate (SO 4

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“…The pH of acid rain is less than 5.6 [37]. Accordingly, the clay samples in our study were classified as acidic clay (pH≤5.6) or normal clay (pH>5.6).…”

Section: Acidity and Sulfate In Claymentioning

confidence: 99%

Weathering of Clay-Pyrite of Coal-Bearing Formation in the Endemic Fluorosis Area of Southwest China

Xiuping¹,

Yang²,

Liang³

et al. 2022

Pol. J. Environ. Stud.

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“…Acid rain formed by sulfuric and nitric acid particles via the oxidation of sulfur dioxide (SO 2 ) and nitrogen oxides (NO x ) affects plant growth. 12,13 The formation of SIA components is a main cause Special Issue: Data Science for Advancing Environmental Science, Engineering, and Technology of severe haze pollution. 14,15 Sulfate aerosols with moderately long life cycles can cause significant local pollution and even affect global climate change through atmospheric transport and climate response.…”

Section: Introductionmentioning

confidence: 99%

“…PM 2.5 composition has noticeable impacts on the ecological environment, ambient air quality, and Earth’s climate. Acid rain formed by sulfuric and nitric acid particles via the oxidation of sulfur dioxide (SO 2 ) and nitrogen oxides (NO x ) affects plant growth. , The formation of SIA components is a main cause of severe haze pollution. , Sulfate aerosols with moderately long life cycles can cause significant local pollution and even affect global climate change through atmospheric transport and climate response . Different PM 2.5 constituents impact human health in different ways. , Recent studies have suggested that carbonaceous aerosols from agricultural residue biomass burning and wildfires, , ultrafine particles from automobile exhaust, , and severe haze episodes caused by fine particles , have strong toxicities.…”

Section: Introductionmentioning

confidence: 99%

Separating Daily 1 km PM_2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data

Wei

Chen

et al. 2023

Environ. Sci. Technol.

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Fine particulate matter (PM 2.5 ) chemical composition has strong and diverse impacts on the planetary environment, climate, and health. These effects are still not well understood due to limited surface observations and uncertainties in chemical model simulations. We developed a fourdimensional spatiotemporal deep forest (4D-STDF) model to estimate daily PM 2.5 chemical composition at a spatial resolution of 1 km in China since 2000 by integrating measurements of PM 2.5 species from a high-density observation network, satellite PM 2.5 retrievals, atmospheric reanalyses, and model simulations. Cross-validation results illustrate the reliability of sulfate (SO 4 2− ), nitrate (NO 3 − ), ammonium (NH 4 + ), and chloride (Cl − ) estimates, with high coefficients of determination (CV-R 2 ) with ground-based observations of 0.74, 0.75, 0.71, and 0.66, and average root-mean-square errors (RMSE) of 6.0, 6.6, 4.3, and 2.3 μg/m 3 , respectively. The three components of secondary inorganic aerosols (SIAs) account for 21% (SO 4 2− ), 20% (NO 3 − ), and 14% (NH 4 + ) of the total PM 2.5 mass in eastern China; we observed significant reductions in the mass of inorganic components by 40−43% between 2013 and 2020, slowing down since 2018. Comparatively, the ratio of SIA to PM 2.5 increased by 7% across eastern China except in Beijing and nearby areas, accelerating in recent years. SO 4 2− has been the dominant SIA component in eastern China, although it was surpassed by NO 3− in some areas, e.g., Beijing−Tianjin−Hebei region since 2016. SIA, accounting for nearly half (∼46%) of the PM 2.5 mass, drove the explosive formation of winter haze episodes in the North China Plain. A sharp decline in SIA concentrations and an increase in SIA-to-PM 2.5 ratios during the COVID-19 lockdown were also revealed, reflecting the enhanced atmospheric oxidation capacity and formation of secondary particles.

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“…[24][25][26] However, it is inevitable to apply acids in field practice to initiate the accelerated release of agrochemicals for these chitosan-based controlled-release systems, but the additional input of acids is laborious and might affect the soil microenvironment and the growth of crops. 27,28 In situ generation of acid on the spots of acidresponsive pesticides by light stimulation can evade the drawbacks that the addition of acids bring about. 29,30 Among the photoacid generators, 2-nitrobenzaldehyde (2-NBA) can be modified on the chains of chitosan by the formation of C N bond based on the reaction of Schiff base, 31 yielding a potentially better candidate of carrier than pristine chitosan for the development of light-guided and acid-responsive controlled-release system for pesticides.…”

Section: Introductionmentioning

confidence: 99%

“…However, it is inevitable to apply acids in field practice to initiate the accelerated release of agrochemicals for these chitosan‐based controlled‐release systems, but the additional input of acids is laborious and might affect the soil microenvironment and the growth of crops 27,28 . In situ generation of acid on the spots of acid‐responsive pesticides by light stimulation can evade the drawbacks that the addition of acids bring about 29,30 .…”

Section: Introductionmentioning

confidence: 99%

Chitosan‐based organic/inorganic composite engineered for UV light‐controlled smart pH‐responsive pesticide through in situphoto‐induced generation of acid

Liu

Chen

Teng

et al. 2022

Pest Management Science

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BACKGROUND: Confined by the volatile property, pesticides are overused and lost significantly during and after spraying, weakening the ecological microbalance among different species of lives. Acid-responsive pesticide is a type of smartly engineered pesticides that contribute to the improvement of utilization efficiency of pesticidal active ingredients in acid-controlled manner, whilst the implementation of acidic solutions may disturb the balance of microenvironment surrounding targeted plants or cause secondary pollution, underscoring the input of acid in a more precise strategy.RESULTS: Chitosan was chemically modified with a photoacid generator (2-nitrobenzaldehyde) serving as a light-maneuvered acid self-supplier, based on which a smart pesticide was formulated by the integration of attapulgite and organophosphate insecticide chlorpyrifos. Under the irradiation of UV light (365 nm), the modified chitosan would undergo a photolytic reaction to generate an acid and pristine chitosan, which seized the labile protons and facilitated the release of chlorpyrifos based on its inherent pH-responsive flexibility. According to the pesticide release performance, the release rate of chlorpyrifos under UV light (27.2 mW/cm 2 ) reached 78%, significantly higher than those under sunlight (22%, 4.2 mW/cm 2 ) and in the dark (20%) within the same time, consistent with the pH reduction to 5.3 under UV light and no obvious pH change for the two other situations, exhibiting an attractive UV light-controlled, acid-propelled release behavior.CONCLUSION: Compared to direct acid spray approach, the proposed in situ photo-induced generation of acid locally on the spots of applied pesticide circumvents the problem of acid contamination to nontargets, demonstrating higher efficiency and biocompatibility for the controlled delivery of acid-responsive pesticides and pest management.

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Effects of acid rain on plant growth: A meta-analysis

Cited by 34 publications

References 50 publications

Weathering of Clay-Pyrite of Coal-Bearing Formation in the Endemic Fluorosis Area of Southwest China

Weathering of Clay-Pyrite of Coal-Bearing Formation in the Endemic Fluorosis Area of Southwest China

Separating Daily 1 km PM_2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data

Chitosan‐based organic/inorganic composite engineered for UV light‐controlled smart pH‐responsive pesticide through in situphoto‐induced generation of acid

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Effects of acid rain on plant growth: A meta-analysis

Cited by 34 publications

References 50 publications

Weathering of Clay-Pyrite of Coal-Bearing Formation in the Endemic Fluorosis Area of Southwest China

Weathering of Clay-Pyrite of Coal-Bearing Formation in the Endemic Fluorosis Area of Southwest China

Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data

Chitosan‐based organic/inorganic composite engineered for UV light‐controlled smart pH‐responsive pesticide through in situphoto‐induced generation of acid

Contact Info

Product

Resources

About

Separating Daily 1 km PM_2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data