Full Issue
| View or download the full issue |
Table of Contents
|
Articles
by Yanchang Su, Xiuling Pei, Jiantao Du, Zhichen Zhou
2024,
8(1);
doi: 10.18686/ag.v8i1.12579
16 Views,
0 PDF Downloads
Aiming at the difficult problem of describing the abandoned river channel and point dam sand body under the condition of dense
well network in the late stage of extra-high water content, applying the core, logging and dynamic production data, and adopting the method
of “discussing the present and discussing the past, and predicting the model”, the modern deposition clarifies that there are 4 types of abandoned river channel: the neck-cutting type, the breach and diversion type, the scaled abandonment, and the gully abandonment. The method
summarizes 3 types of small, medium and medium-large point dam sands, and realizes the fine depiction of abandoned channels and point
dam sands by using modern deposition as a guide, and finely depicts that the abandoned channels in the study area are mainly of the scale and
rerouting type, and the point dam sands are mainly of the medium type, and the method is able to accurately depict abandoned channels and
point dam sands and the results of the depictions provide a precise description of underground meanders in the large sandstone oil fields. The
results of the description provide a geological basis for the accurate dredging of the remaining oil in the sand body layer of large sandstone
oil fields.
|
|
Articles
by Jinhua Zhong, Zhenhai Guo, Debin Su
2024,
8(1);
doi: 10.18686/ag.v8i1.12580
14 Views,
0 PDF Downloads
In this study, different turbulence parameterization schemes are simulated and compared using a single-column model to investigate
their effects on the surface sensible heat flux. The Wangara Boundary Layer Experiment and The First International Satellite Land Surface
Climatology Project Field Experiment (FIFE) were used. Eight different turbulence closure schemes were used for validation and comparison. These include six first-order closure schemes, one turbulent kinetic energy (TKE) closure scheme and the Reynolds stress second-order
closure scheme. In this paper, the results of the second-order closure solved by the Reynolds stress equation are used as a benchmark. Since
different turbulence closure schemes have different ability to capture turbulence, which in turn affects the turbulence transport ability and influences the heat transport process. The simulation results show that the difference in simulated temperature profiles between different turbulence parameterization schemes is not significant as the complexity of turbulence parameterization increases. However, this difference feeds
back to the surface temperature, turbulent velocity scale and turbulent temperature scale, which affects the variation of the sensible heat flux.
As the simulation integration time changes, the difference between the first-order closure scheme and the Reynolds stress scheme gradually
increases due to the lack of turbulence portrayal. The results of the TKE scheme and the Reynolds stress scheme are more closely matched
with the tendency of the root-mean-square error being smaller, and on the second day both schemes simulate the turbulence better.
|
|
Articles
by Zihan Zhao
2024,
8(1);
doi: 10.18686/ag.v8i1.12581
12 Views,
0 PDF Downloads
Light pollution has profound implications on human physiological rhythms, ecological balances in wildlife, and traffic safety, with
its adverse effects becoming increasingly pronounced in the context of escalating urban lighting. In order to conduct a thorough analysis and
assessment of the risks associated with light pollution, this study establishes a Light Pollution Risk Level Evaluation System. Grounded in
the current light pollution scenario in the United States, we precisely define 20 fundamental indicators for light pollution risk levels. Through
Principal Component Analysis, we identify ten major indicators, subsequently utilizing the FCM-PSO algorithm to cluster these indicators
into five core parameters: Nocturnal radiation intensity, Population density, GDP, Built-up area, and Light intensity. Furthermore, employing the entropy weight method combined with the TOPSISfusion model, we conduct weighted calculations on these five core indicators to
enhance the applicability of the evaluation system. According to the evaluation criteria, the computed weights for each indicator in the light
pollution index are as follows: Radiation intensity 0.31, Light intensity 0.289, GDP 0.232, Population density 0.093, Built-up area 8%. This
model not only provides a comprehensive assessment of light pollution risks but also serves as a valuable methodological reference for similar studies in the future.
|
|
Articles
by Wei Yao, Na Li, Sen Feng, Xubo Li, Sikai Zou
2024,
8(1);
doi: 10.18686/ag.v8i1.12582
14 Views,
0 PDF Downloads
In the development process of the mining industry, tunnel excavation and support technology has been widely applied, which not
only ensures the safe and stable progress of engineering, but also improves engineering efficiency. This article mainly focuses on the field of
underground mine roadway safety and proposes an innovative method for mine roadway safety monitoring and support design. This method
achieves targeted adjustment and optimization by deeply studying the characteristics of rock layers, effectively improving support stability,
further strengthening mine safety, and providing more solid support for workers.
|
|
Articles
by Donghui Zhang, Qingchun Yang, Zhen Geng, Wentao Shu, Jinhua Li
2024,
8(1);
doi: 10.18686/ag.v8i1.12584
18 Views,
0 PDF Downloads
The application of intelligent data simulation and predictive analysis shows great potential in improving the efficiency and effectiveness of soybean breeding programs. Based on the research of intelligent data simulation and predictive analysis, the information of complex genetic and environmental factors affecting soybean traits was analyzed, and the application of advanced data simulation technology and
predictive analysis method in soybean breeding was discussed. The findings not only contribute to the scientific understanding of soybean
breeding, but also provide practical recommendations for harnessing the power of data-driven approaches in agricultural research and breeding programs.
|
|
Articles
by Yuxin Huang, Ting Xu, Yipeng Li, Meng Sun, Weilin Tian
2024,
8(1);
doi: 10.18686/ag.v8i1.12585
13 Views,
0 PDF Downloads
Qinghai Lake, located on the Qinghai-Tibet Plateau in China, is the highest and largest inland lake in geography. This paper takes
Qinghai Lake as the research object and Landsat 8 OLI_TIRS remote sensing image as the data source to obtain image data of Qinghai Lake
from 2013 to 2018. NDWI (Normalized Differential Water Body Index) method is used to extract water body information, and then statistics
the area change from 2013 to 2018. The experimental results show that the surface area of Qinghai Lake has an overall increasing trend in
these five years.
|
|
Articles
by Donghui Zhang, Qingchun Yang, Zhen Geng, Jinxia Wang, Penglei Wang
2024,
8(1);
doi: 10.18686/ag.v8i1.12586
14 Views,
0 PDF Downloads
In order to explore the role of mechanized soybean cultivation technology in the structural reform of agricultural supply side, this
paper analyzes the impact of mechanized planting technology on the soybean industry through comprehensive literature review and empirical
research, and provides theoretical support and practical guidance for the structural reform of agricultural supply side. The results show that
the mechanized cultivation technology of soybean can improve the efficiency of agricultural production and realize the high-quality, green
and standardized supply of agricultural products. In addition, soybean mechanized planting technology can also reduce the labor intensity of
agricultural practitioners, improve their income level, and promote rural economic development. The research results have certain theoretical
and practical significance for promoting the structural reform of China’s agricultural supply side, and also provide reference for the agricultural development of other countries and regions.
|
|
Articles
by Yuexiu Liu
2024,
8(1);
doi: 10.18686/ag.v8i1.12587
22 Views,
0 PDF Downloads
Sulfur quantum dots have been widely used in fluorescence detection, bioimaging, and sensing due to the advantages of simple
preparation, biocompatibility, good luminescence performance, and low toxicity. An overview of the the preparation methods of SQDs for
applied research. The preparation methods of SQDs can be categorized into bottom-up and top-down methods, in which the top-down method is more widely used in the research and the fluorescence quantum yield of synthesized sulfur quantum dots is higher. Finally, the urgent
problems to be solved in the synthesis and application of sulfur quantum dots are discussed, and the future research directions are envisioned.
|
|
Articles
by Yuwen Shi
2024,
8(1);
doi: 10.18686/ag.v8i1.12588
15 Views,
0 PDF Downloads
In order to achieve real-time defect detection technology, detection accuracy, prediction speed, and lightweight deployment models
are important issues. Traditional object detection methods often fail to achieve a balanced effect on all aspects. Therefore, a detection model based on lightweight convolutional neural network YOLOv7 is proposed. Firstly, lightweight convolutional Ghost conv is introduced to
lighten the backbone network; Secondly, adding CBAM attention mechanism to suppress invalid information and enhance feature extraction
ability; Finally, a new measurement method is introduced at the regression loss function α- Replacing IoU with SIoU accelerates algorithm
convergence and improves detection efficiency for defect targets. The experiment shows that the accuracy P of the detection model reaches
96.27%, the mAP index is 83.84%, the detection speed is 23.83ms, and the model size is only 19.10MB, effectively balancing the accuracy,
real-time performance, and lightweight deployment of defect detection.
|
|
Articles
by Xingyu Liu
2024,
8(1);
doi: 10.18686/ag.v8i1.12589
19 Views,
0 PDF Downloads
With the increasing use of cars, the problem of engine burning oil has become a phenomenon of concern. Taking the burning oil
of automobile engine as an example, the causes of this problem, including piston ring damage, poor valve sealing and cylinder head sealing
problems. For these reasons, corresponding fault maintenance countermeasures are proposed, such as regular oil and filter element replacement, checking and replacing piston rings, maintaining the sealing of valve and valve catheter, and checking and replacing of cylinder head
seals. These countermeasures aim to solve the problem of oil combustion, improve the engine performance, and provide practical reference
for the relevant personnel.
|
|
Articles
by Xiaoyu Hu
2024,
8(1);
doi: 10.18686/ag.v8i1.12590
12 Views,
0 PDF Downloads
In recent years, the ecological management of Hulun Lake has achieved positive protection and management results through a
number of effective management measures, and has reproduced its beautiful scene like a fairyland. In order to further improve the effectiveness of ecological governance of Hulun Lake, this paper uses Marx’s community thought to guide the construction of an ecological governance community based on common ideas, with common interests as the key, and with common action as the core, so as to promote the systematic and modern development of ecological governance of Hulun Lake.
|
|
Articles
by Bin Zhang, Yandong Yuan
2024,
8(1);
doi: 10.18686/ag.v8i1.12591
15 Views,
0 PDF Downloads
In recent years, the construction of marine ranches in China has entered a rapid development stage, gradually advancing towards
deep and distant sea areas. Considering the complexity of the deep-sea environment and the need for marine ecological protection, it is necessary to introduce multi-source heterogeneous big data monitoring technology to achieve comprehensive collection and accurate detection
of marine environmental data. In order to further scientifically develop marine resources and expand the construction of marine ranches, this
article analyzes the collection and integration of multi-source heterogeneous big data and intelligent monitoring of marine environment based
on big data. It explores the application strategies of big data in breeding varieties and ranch operation management, in order to promote the
construction and development of modern marine ranches.
|
|
Articles
by Hu Yao, Chunyu Yan, Jiaojiao Chen
2024,
8(1);
doi: 10.18686/ag.v8i1.12592
18 Views,
0 PDF Downloads
Climate change is closely related to the global carbon cycle, and the carbon cycle of terrestrial ecosystems and its driving mechanism is of great significance to the study of the global carbon cycle. This paper puts forward suggestions to realize the goal of carbon neutrality from three aspects: to carry out wetland carbon accounting, to increase the area of wetlands, and to strengthen the research on wetland
carbon enhancement technology.
|
|
Articles
by Donghui Zhang, Qingchun Yang, Zhen Geng, Baoliang Zhang, Shihao Chang
2024,
8(1);
doi: 10.18686/ag.v8i1.12583
14 Views,
0 PDF Downloads
In recent years, China’s soybean planting area has been expanding continuously. However, soybean farming faces various challenges, one of which is how to improve nitrogen fixation efficiency. It is important to study the effect of different mechanical treatments on
nitrogen fixation efficiency of soybean root nodules. The nitrogen fixation efficiency of soybean seed after milling and ultrasonic treatment
was observed. The experimental results showed that the nitrogen fixation efficiency of soybean root nodules was significantly improved after
mechanical treatment. Further analysis showed that mechanical treatment changed the shape and internal structure of soybean root nodules,
increased the contact area between root nodules and air, and promoted the growth of nitrogen-fixing bacteria. It is concluded that mechanical
treatment has an important effect on nitrogen fixation efficiency of soybean root nodules. The research results have important theoretical and
practical significance for improving the nitrogen fixation efficiency of soybean, and provide scientific basis for the sustainable development
of soybean industry.
|
