Analysis of Dynamic Evolution and Driving Factors of Low-Carbon Utilization Efficiency of Cultivated Land in China

Tian, Yuan; Shi, Xiuyi

doi:10.3390/agriculture14040526

Cited by 4 publications

References 66 publications

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Energy management strategy for fuel cell hybrid tractor considering demand power frequency characteristic compensation

Zhang,

Li,

Han

et al. 2024

Sci Rep

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The application of fuel cell tractors is expected to drive technological upgrades and sustainable development in agricultural machinery. However, fuel cell hybrid systems face issues such as slow dynamic response, low efficiency, and short lifespan. This paper proposes an energy management strategy based on signal reconstruction methods, including Empirical Mode Decomposition (EMD) and Variational Mode Decomposition (VMD), to achieve optimal energy utilization and system efficiency based on frequency response characteristics. First, we collected data on the tractor’s traction force and operating speed, and calculated the required traction power using a full-machine dynamics model built in MATLAB software. We conducted frequency response characteristic analysis of the fuel cell hybrid system based on EMD and VMD, establishing an energy management controller to sequentially meet the average power demand of the fuel cell under plowing load operations, the instantaneous acceleration power demand of the power battery, and the real-time compensation power demand of the supercapacitor. The results show that the EMD strategy exhibits good stability, while the VMD strategy performs better in terms of hydrogen consumption. Under the VMD strategy, the hybrid system achieves a maximum output efficiency of 55.0% with a total hydrogen consumption of 750 g. Compared to the EMD strategy, the maximum efficiency of the system increases by 27.31%, and hydrogen consumption decreases by 3.49%. This study provides a new theoretical foundation and technological route for the application of fuel cell hybrid systems in the field of agricultural machinery.

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Energy management strategy for fuel cell hybrid tractor considering demand power frequency characteristic compensation

Zhang,

Li,

Han

et al. 2024

Sci Rep

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Telecoupling Effects among Provinces of Cultivated Land Grain Production in the Last 30 Years: Evidence from China

Li,

Feng,

2024

Agriculture

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Telecoupling interregional resource interaction based on cultivated land grain production (CLGP) plays a crucial role in ensuring national food security and advancing sustainable socio-environmental and economic development. Based on the provincial panel data of 31 administrative regions in China from 1990 to 2020, we used the spatial and temporal evolution of CLGP and the global Moran index to detect the spatial correlation of CLGP among the provinces in China; we adopted the SDM to study the telecoupling effect of CLGP among the provinces in China and decompose the effect, enabling us to propose policy recommendations for enhancing the telecoupling effect among the provinces. The results are as follows: (1) China’s inter-provincial CLGP has shown an increasingly strong telecoupling effect over time, further validating the scientific nature of China’s grain production pattern. (2) Cultivated land, irrigation area, the number of agricultural employees, the power of agricultural machinery, the proportion of grain sown, and total grain production have positive “flow” effects on spatial teleconnections between provinces and regions. (3) In terms of the total telecoupling effect, the most significant factor affecting CLGP is the ratio of the area sown with grain to the total area sown with crops. Meanwhile, the area of cultivated land in each region, the irrigated area, the agricultural labor force, the agricultural machinery total power, and the percentage of grain sowing in each region have the most direct telecoupling effect on CLGP. The conduct of the study further fleshes out the empirical research on interregional resource telecoupling linkages arising from resource deployment and utilization.

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Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality

Li,

Cui

2024

Sustainability

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Arable land green and low-carbon utilization (ALGLU) is an important pathway to safeguard food safety and achieve the green transformation and progress of agriculture, playing a crucial role in promoting agricultural ecological protection and economic sustainability. This study takes the Yangtze River Delta region (YRD), where rapid urbanization is most typical, as the study area. On the basis of fully considering the carbon sink function of arable land, the study measures the green and low-carbon utilization level of arable land in the region using the Super-slack and based measure (Super-SBM) model, and analyzes its spatial and temporal evolution using the spatial autocorrelation model, the center of gravity, and the standard ellipsoid model, and then analyzes its impact with the help of the geographic detector and the geographically weighted regression model. We analyzed the multifactor interaction and spatial heterogeneity of the factors with the help of the geodetector and geographically weighted regression model. Results: (1) The ALGLU in the YRD has shown a fluctuating upward tendency, increasing from 0.7307 in 2012 to 0.8604 in 2022, with a growth rate of 17.75%. The phased changes correspond to national agricultural development policies and the stages of socio-economic development. (2) There are significant spatial differences in the level of ALGLU in the YRD, with high levels distributed in the southwest of Jiangsu, northern Zhejiang, and northwest Anhui, while low levels are distributed in the southwest of the YRD. Positive spatial autocorrelation exists in the level of ALGLU in the YRD. The spatial transfer trends of the gravity and standard deviation ellipses essentially align with changes in the spatial pattern. (3) The level of ALGLU in the YRD is affected by many factors, with the intensity of interaction effects far exceeding that of individual factors. When considering single-factor effects, precipitation, topography, and farmers’ income levels are important factors influencing the level of ALGLU. In scenarios involving multiple-factor interactions, agricultural policies become the primary focus of interaction effects. Furthermore, the driving effects of influencing factors exhibit spatial heterogeneity, with significant differences in the direction and extent of driving effects of each factor in different cities. This study can provide valuable insights for future ALGLU in the YRD and regional sustainable development.

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Analysis of Dynamic Evolution and Driving Factors of Low-Carbon Utilization Efficiency of Cultivated Land in China

Cited by 4 publications

References 66 publications

Energy management strategy for fuel cell hybrid tractor considering demand power frequency characteristic compensation

Energy management strategy for fuel cell hybrid tractor considering demand power frequency characteristic compensation

Telecoupling Effects among Provinces of Cultivated Land Grain Production in the Last 30 Years: Evidence from China

Spatial–Temporal Evolution and Influencing Factors of Arable Land Green and Low-Carbon Utilization in the Yangtze River Delta from the Perspective of Carbon Neutrality

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