27 research outputs found

    Patterns and structures of land use change in the three rivers headwaters region of China

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    10.1371/journal.pone.0119121PLoS ONE103e011912

    Application of traditional knowledge of Hani people in biodiversity conservation

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    Traditional knowledge offers a feasible approach to biodiversity conservation because it not only preserves, but also enriches biodiversity [...

    Intelligent control strategy for industrial furnaces based on yield classification prediction using a gray relative correlation-convolutional neural network-multilayer perceptron (GCM) machine learning model

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    Industrial furnaces still play an important role in national economic growth. Owing to the complexity of the production process, the product yield fluctuates, and cannot be executed in real time, which has not kept pace with the development of the intelligent technologies in Industry 4.0. In this study, based on the deep learning theory and operational data collected from more than one year of actual production of a lime kiln, we proposed a hybrid deep network model combining a gray relative correlation, a convolutional neural network and a multilayer perceptron model (GCM) to categorize production processes and predict yield classifications. The results show that the loss and calculation time of the model based on the screened set of variables are significantly reduced, and the accuracy is almost unaffected; the GCM model has the best performance in predicting the yield classification of lime kilns. The intelligent control strategy for non-fault state is then set according to the predicted yield classification. Operating parameters are adjusted in a timely manner according to different priority control sequences to achieve higher yield, ensure high production efficiency, reduce unnecessary waste, and save energy

    An Ice Core Slice Scanning Tool based on Line-scan Camera

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    The ice core from polar ice sheet is one of the most valuable archives of past climate and environment. The ice core visual stratigraphy, based on optical scanning analysis, provides the most intuitive information of the micro-particles and/or air bubbles in the ice. At present, only few labs can perform high quality visual stratigraphy analysis in the world. Here, we develop an ice core slice scanning tool based on line-scan camera. The machine uses the high-resolution characteristics of the line-scan camera to complete high-resolution imaging of the ice core slices through linkage with the linear light sources. A motor drive and control system is developed to complete the uniform scanning control of the line-scan camera and light sources. A special control program and human-computer interaction interface are developed to realize the parameter setting, motor control and imaging result display. The test results show that the proposed ice core slice scanning tool meets the design requirements and its imaging results are significantly better than area-scan cameras under the same conditions

    Investigation and Practical Application of Silica Nanoparticles Composite Underwater Repairing Materials

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    Repairing materials are well-known to play an important role in rehabilitating and extending the service life for hydraulic concrete structures. However, current underwater repairing materials possess several problems, including insufficient bond tensile strength, inconsistency with the deformation of the old substrate, and insufficient underwater self-sealing ability. In the present paper, an experimental study was carried out to evaluate the influence of silica nanoparticles (SNs) on the properties of underwater composite-repairing materials. The underwater deformation, impermeability, bond tensile strength, and compressive strength of the SN-modified underwater composite-repairing materials were used as the properties’ evaluation indices. The results show that, within a certain range, the performance of the repairing material increase with increased SN percent. The deformability, impermeability grade, underwater bond tensile strength, and compressive strength of the SN-modified composite underwater repairing materials are 2.2%, 8, 2.91 MPa, and 115.87 MPa, respectively, when the mass ratio of the mortar, the curing agent and the SNs is 8:1:0.002. The proposed material is employed to repair the dam for a hydropower station in Guizhou province, China. Results show the seepage discharge is reduced by 8.6% when the dam is repaired. The annual average generating capacity is increased by 1.104 × 105 kWh. Meanwhile, CO2 and NOx emissions are reduced by 1.049 × 105 and 220.8 kg annually, respectively

    Comparison of landscape structure change of the Three Rivers Headwaters Region by watersheds.

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    <p>Comparison of landscape structure change of the Three Rivers Headwaters Region by watersheds.</p

    Number of human settlements found with land use change in Guoluo and Yushu.

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    <p>The buffer zones of 4 km of the human settlements in Guoluo Prefecture and Yushu Prefecture are analyzed. Settlements are categorized based on whether their locations are close to main roads, temples, or water bodies of lakes or rivers.</p><p>Number of human settlements found with land use change in Guoluo and Yushu.</p

    Comparison of landscape structure change of the Three Rivers Headwater Regions by prefectures.

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    <p>Comparison of landscape structure change of the Three Rivers Headwater Regions by prefectures.</p

    The study area of the Three River Headwaters Region.

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    <p>(A) Distributions of the Yangtze River, Lantsang River, and Yellow River headwater regions. (B) Locations of Hainan Prefecture, Huangnan Prefecture, Guoluo Prefecture, Yushu Prefecture, and Geermu City.</p
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