Distribution characteristics of plastic film residue in long-term mulched farmland soil

Xu, Zhengxin; Hu, Can; Wang, Xufeng; Wang, Long; Xing, Jianfei; He, Xiaowei; Wang, Zaibin; Zhao, Pengfei

doi:10.1007/s42832-022-0144-4

Cited by 14 publications

(9 citation statements)

References 42 publications

(41 reference statements)

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“…Therefore, it is necessary to perform data cleaning and normalization steps before proceeding with model construction. In this study, a significant portion of the data, situated on cropland, featured the use of plastic mulch (white or black) to curb evapotranspiration and reduce irrigations, potentially altering soil and vegetation spectral reflectance characteristics, impacting vegetation index accuracy [70,71].…”

Section: Modeling Assessmentmentioning

confidence: 99%

Feature Selection and Regression Models for Multisource Data-Based Soil Salinity Prediction: A Case Study of Minqin Oasis in Arid China

Zhang,

Zhao,

Yang

et al. 2024

Land

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(1) Monitoring salinized soil in saline–alkali land is essential, requiring regional-scale soil salinity inversion. This study aims to identify sensitive variables for predicting electrical conductivity (EC) in soil, focusing on effective feature selection methods. (2) The study systematically selects a feature subset from Sentinel-1 C SAR, Sentinel-2 MSI, and SRTM DEM data. Various feature selection methods (correlation analysis, LASSO, RFE, and GRA) are employed on 79 variables. Regression models using random forest regression (RF) and partial least squares regression (PLSR) algorithms are constructed and compared. (3) The results highlight the effectiveness of the RFE algorithm in reducing model complexity. The model incorporates significant environmental factors like soil moisture, topography, and soil texture, which play an important role in modeling. Combining the method with RF improved soil salinity prediction (R2 = 0.71, RMSE = 1.47, RPD = 1.84). Overall, salinization in Minqin oasis soils was evident, especially in the unutilized land at the edge of the oasis. (4) Integrating data from different sources to construct characterization variables overcomes the limitations of a single data source. Variable selection is an effective means to address the redundancy of variable information, providing insights into feature engineering and variable selection for soil salinity estimation in arid and semi-arid regions.

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Section: Modeling Assessmentmentioning

confidence: 99%

Feature Selection and Regression Models for Multisource Data-Based Soil Salinity Prediction: A Case Study of Minqin Oasis in Arid China

Zhang,

Zhao,

Yang

et al. 2024

Land

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“…Currently, the main type of mulch film used in farmland is low-density polyethylene [13,14]. Studies have found that microplastics in the soil of continuously mulched farmland mainly originated from the fragmentation of mulches [15,16]. Generally, the analysis of soil microplastics requires the initial separation and extraction of microplastic particles from the soil, followed by the detection and analysis of microplastics.…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Analytical Techniques for Quantifying and Characterizing Polyethylene Microplastics in Farmland Soil Samples

Wang,

et al. 2024

Agriculture

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The presence of microplastics in soil has become a significant global concern, posing a threat to environmental, agricultural, and human health. However, the use of various detection methods has led to significant discrepancies in the statistics reported for the abundance of soil microplastics across the available literature, resulting in poor comparability across the available literature. Studies have shown that plastic film residue is among the main primary sources of microplastics in farmland soils. Therefore, we manufactured and selected polyethylene microplastics (PE-MPs) from plastic film and combined them with soil samples after density separation treatment, forming a spiked test soil sample, which was subjected to density separation and extraction using a ZnCl2 solution. The experiment used visual inspection by stereo microscopy, micro-Fourier transform infrared spectroscopy, micro-Raman spectrometry, laser direct infrared imaging, and pyrolysis-gas chromatography–mass spectroscopy for the quantitative analysis of spiked soil. This study systematically assessed and compared these five common soil microplastic detection methods. The results revealed different quantitative detection accuracies across various particle size ranges. Micro-Fourier transform infrared spectroscopy showed a broader applicable particle size range (20–5000 μm) and higher detection rate (91%), while the detection range (>50 μm) and rate (70%) of visual inspection through stereo microscopy were lower. For the identification of microplastic morphology, laser direct infrared imaging performed better, whereas micro-Fourier transform infrared spectroscopy had the advantage in determining the types of polymers present over micro-Raman spectrometry. The advantages, disadvantages, and detection rates of the above five detection methods were clarified during the detection process. Considering these findings and similar studies, we suggest three combinations of the evaluated methods to optimize the detection of PE-MPs.

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“…Xinjiang is the main cotton production area in China. At present, the area of plastic film coverage in the whole region is more than 2.533 million hm 2 , and the amount of agricultural film used is 168,000 tons 4–6 . Due to long‐term exposure to the external environment, the wear condition of agricultural film is very serious.…”

Section: Introductionmentioning

confidence: 99%

“…and the amount of agricultural film used is 168,000 tons. [4][5][6] Due to long-term exposure to the external environment, the wear condition of agricultural film is very serious. As a disposable product, it is basically abandoned after use.…”

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confidence: 99%

High‐quality and efficient recovery of waste agricultural mulch film mixture via solid‐state shear milling technology

Di,

Yang,

Bai

2024

J of Applied Polymer Sci

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The problem of white pollution caused by waste agricultural mulch film (WAMF) has a long history and has brought great damage to the soil and ecological environment. The recycled WAMF has no processing performance because it is doped with a large amount of cotton straw and soil inorganic particles. In this study, it was reported for the first time that high‐quality and efficient recovery of WAMF was carried out by means of solid‐state shear milling (S3M) technology. After the pretreatment of S3M, the recycled WAMF is transformed into an active composite powder with a particle size of microns, which regains certain processing performance. Then we prepared a composite material similar to WPC (wood‐plastic composite) by using the composite powder. It was found that under the action of strong three‐dimensional shear force, the phase domain size of the composite decreased significantly, and the compatibility of each component improved. The macroscopic performance was that the tensile strength was increased by 65% and the bending strength was increased by 74%, reaching 8.30 and 17 MPa, respectively. The 24‐h water absorption of this composite decreased by 13%. More importantly, the thermal stability was not significantly reduced during the milling process. This process does not require sorting, cleaning, or other operations, which can greatly simplify the process flow and improve recovery efficiency. It provides an effective solution to the problem of white pollution caused by WAMF.

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Distribution characteristics of plastic film residue in long-term mulched farmland soil

Cited by 14 publications

References 42 publications

Feature Selection and Regression Models for Multisource Data-Based Soil Salinity Prediction: A Case Study of Minqin Oasis in Arid China

Feature Selection and Regression Models for Multisource Data-Based Soil Salinity Prediction: A Case Study of Minqin Oasis in Arid China

Comparative Evaluation of Analytical Techniques for Quantifying and Characterizing Polyethylene Microplastics in Farmland Soil Samples

High‐quality and efficient recovery of waste agricultural mulch film mixture via solid‐state shear milling technology

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