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Effects of AM Inoculation and Planting Patterns on Chlorophyll Spectrum Estimation of Astragalus Adsurgens in Mining Waste Dump
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Changchao SHE1, Linlin XIE2, 3, Jianguo WANG4, Yinli BI2, 3, Junqing SUN4, Mengqi LI3, Yuejun HUANG1
Mining Research and Development | 2025, 45(10) : 182 - 189
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Mining Research and Development | 2025, 45(10): 182-189
Effects of AM Inoculation and Planting Patterns on Chlorophyll Spectrum Estimation of Astragalus Adsurgens in Mining Waste Dump
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Changchao SHE1, Linlin XIE2, 3, Jianguo WANG4, Yinli BI2, 3, Junqing SUN4, Mengqi LI3, Yuejun HUANG1
Affiliations
  • 1.CHN Energy Beidian Shengli Energy Co., Ltd., Xilin hot, Inner Mongolia 026000, China
  • 2.College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China
  • 3.State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology-Beijing, Beijing 100083, China
  • 4.CHN Energy Xinjiang Toksun Energy Co., Ltd., Turpan, Xinjiang 838100, China
Published: 2025-10-25
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In order to monitor the chlorophyll content of plants quickly and non-destructively, two different microbial reclamation treatments (inoculation group and control group) were set up, and six herbaceous plants (Astragalus adsurgens, Medicago sativa, Leymus chinensis, Agropyron cristatum, Elymus sibiricus, Bromus inermis) were selected according to four kinds of mixed sowing ratios (1∶1, 1∶2, 1∶3, 2∶1). The chlorophyll content and spectral reflectance of Astragalus adsurgens in the test area were measured respectively. Using the original spectrum, the logarithm of the reciprocal of the original spectrum, and the first-order differential, combined with three modeling methods of BP neural network regression, support vector machine (SVM) regression, and random forest (RF) regression, models were established for plant spectral characteristic curves under different treatments. The results show that the inoculation treatment increases the chlorophyll content, and the chlorophyll content is also different under different mixed sowing ratios. Compared with the original spectral curve, the modeling accuracy of the reciprocal logarithm and first order differential of original spectral is improved to varying degrees, and the modeling accuracy of FDR is the best. Under the condition of microbial reclamation, the RF regression model has the highest accuracy. Under the conditions of different planting ratios, the model established by BP neural network regression in the 1∶2 and 1∶3 regions of legumes has high accuracy, while the spectral samples in the 1∶1 and 2∶1 regions are more suitable for using RF regression method.

Reclamation of mining waste dump  /  Astragalus adsurgens  /  Arbuscular mycorrhizal fungi  /  Chlorophyll content  /  Hyperspectral technology
Changchao SHE, Linlin XIE, Jianguo WANG, Yinli BI, Junqing SUN, Mengqi LI, Yuejun HUANG. Effects of AM Inoculation and Planting Patterns on Chlorophyll Spectrum Estimation of Astragalus Adsurgens in Mining Waste Dump[J]. Mining Research and Development, 2025 , 45 (10) : 182 -189 .
Year 2025 volume 45 Issue 10
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Article Info
  • Receive Date:2024-11-06
  • Online Date:2026-02-06
  • Published:2025-10-25
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  • Received:2024-11-06
Funding
Affiliations
    1.CHN Energy Beidian Shengli Energy Co., Ltd., Xilin hot, Inner Mongolia 026000, China
    2.College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, Shaanxi 710054, China
    3.State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources, China University of Mining and Technology-Beijing, Beijing 100083, China
    4.CHN Energy Xinjiang Toksun Energy Co., Ltd., Turpan, Xinjiang 838100, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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