Analysis On The Method Of Highway Carbon Sink Forest

Cheng, Dongxiang; Liu, Bin; Chen, Jing

doi:10.2991/iccahe-16.2016.21

Cited by 3 publications

(4 citation statements)

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“…The potential for carbon sequestration and climate change mitigation of afforestation of these lands have been studied in various jurisdictions, notably, in Canada, as part of a portfolio of naturebased solutions [3][4][5]. Lands alongside road networks are examples of under-utilized areas that could contribute to increased carbon storage through afforestation [6][7][8][9][10]. These strips of land, which extend from the edge of the road to the surrounding landscape, are typically managed by government services at the city, province, or country level.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have shown the success of active management programs dedicated to roadsides. For instance, a tree planting initiative along highway borders in China sequestered 4.68 Mg C between the 1980s and 2005 [9]. Similarly, in the United States of America, Ament and Begley [11] found that tree plantation along 485,255 km of roads had the potential to sequester 8 Mg C per year.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Potential of Roadside Plantation for Carbon Sequestration Using Simulation in Southern Quebec, Canada

Srour,

Thiffault,

Boucher

2024

Forests

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Afforestation of urban lands can play an important role in increasing carbon sequestration and mitigating the effects of climate change. This study aimed to evaluate the potential for carbon sequestration and storage in plantations on roadsides in southern Quebec, Canada. We used the Carbon Budget Model of the Canadian Forester Sector 3 (CBM-CFS3) to simulate the carbon sequestration capacity over 100 years of plantations established following afforestation with different species mixtures based on local needs and aspirations. We then compared the carbon sequestration potential of simulated plantations with the carbon storage of natural vegetation of reference roadsides with different histories of land use. Our findings suggested that plantations on roadsides subjected to high anthropogenic pressure, such as road rights-of-way, may provide carbon sequestration benefits relative to baseline conditions (i.e., no plantation). For instance, 15 years after afforestation, the additional carbon sequestration potential of plantations on road rights-of-way varied between 25 and 32 Mg ha−1, depending on the afforestation scenario. However, allowing roadsides classified as abandoned agricultural lands to undergo natural succession could promote higher carbon storage on roadsides than planting, irrespective of species mixtures. Our results indicated that the carbon storage of vegetation resulting from the abandonment of agriculture 35 to 45 years ago showed a range of 260 to 290 Mg ha−1, which exceeded the carbon stocks predicted with afforestation models for 60 to 84 years after planting. Indeed, reference roadsides used for agriculture in the past, but that have otherwise not been subjected to other anthropogenic degradation, appeared to naturally evolve toward forest vegetation with higher carbon stocks than simulated plantations.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Potential of Roadside Plantation for Carbon Sequestration Using Simulation in Southern Quebec, Canada

Srour,

Thiffault,

Boucher

2024

Forests

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“…Studies have shown that properly managed urban plantations near highways can sequester more carbon than natural forests (Hutrya et al, 2011;Tang et al, 2016). In China, a tree planting project along highway borders absorbed 4.68 million tonnes of carbon between the 1980s and 2005 (Cheng et al, 2016). In the United States, trees along 485,255 km of roads were estimated to sequester 8 million tonnes of carbon annually (Ament & Bengley, 2014).…”

Section: Introductionmentioning

confidence: 99%

Optimizing Vegetation Plantation for Carbon Sequestration and Water Consumption: A Case Study on the Beijing-Shanghai Expressway

PI,

SHU,

RUBINATO

et al. 2024

Preprint

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Efficient vegetation planting is essential in highway construction to reduce greenhouse gas emissions and prevent ecological degradation. However, carbon sequestration has rarely been considered in previous optimization models for planting strategies in these environments. To address this gap, this study focuses on selecting five predominant shrub species—Ailanthus altissima, Robinia pseudoacacia, Vitex negundo var. heterophylla, Amorpha fruticosa, and Lespedeza bicolor—typical of the Linyi section of the Beijing-Shanghai Expressway. The study quantifies the carbon sequestration rates and water consumption of these species to demonstrate their contribution to climate change mitigation. Field data were collected in spring, summer, and autumn using the LI-6800 portable photosynthetic system. The NSGA-II was subsequently adopted to establish an optimal model, considering constraints of a planting area of 1000 m² and a water consumption limit of 1067.9 mm. Based on the recorded datasets and the implementation of NSGA-II, the optimized vegetation planting structure for this area comprised Ailanthus altissima (21%), Robinia pseudoacacia (30%), Vitex negundo var. heterophylla (11%), Amorpha fruticosa (26%), and Lespedeza bicolor (12%). By adopting this novel solution, the carbon sequestration capacity per square kilometer increased by 541 kg, while water consumption decreased by 104 mm. This manuscript exemplifies achieving a balance between ecological and economic benefits through an optimized and targeted vegetation planting structure on highway slopes. Local and national authorities can use these results to implement similar strategies in different areas.

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“…Therefore, the nonlinear damage identification method based on time series models tends to use nonlinear time series models. Cheng et al 11 proposed a nonlinear damage identification method based on ARMA/GARCH (generalized autoregressive conditional heteroskedasticity) model. An ARMA/GARCH model for the story acceleration time series was established, and the time series data were divided into the baseline state and the test state.…”

Section: Introductionmentioning

confidence: 99%

Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study

Heng

Guo

2023

Structural Health Monitoring

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In the structural health monitoring (SHM) of civil engineering, most of the structural damage is nonlinear damage, such as breathing cracks and bolt looseness. Under the excitation of external loads, the time-domain response data of the structure produced by these nonlinear damages have nonlinear features. In order to solve the time-domain nonlinear damage identification problem of complex structures, this paper proposes a nonlinear damage identification method based on the information distance of GNPAX/GARCH (general expression of system identification for linear and nonlinear with polynomial approximation and exogenous inputs/generalized autoregressive conditional heteroskedasticity) model. First, an order determination method based on Bayesian optimization to select the order of the GNPAX/GARCH model was proposed, and the GNPAX/GARCH model was established for damage identification. Then, the redundant structural items of GNPAX/GARCH model were removed by the model optimization method based on the structural pruning algorithm. Finally, the information distance of the GNPAX/GARCH model conditional heteroscedasticity series between the baseline state and test state was derived, and the structural damage source locations were determined according to the information distance. A three-story frame structure experiment and a stand structure experiment were used to verify the effectiveness of the proposed method. The results show that the proposed method can effectively identify the nonlinear damages caused by the component breathing crack and joint bolt looseness, verifying its robustness to the nonlinear damage identification of the multi-story and multi-span complex structures.

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Analysis On The Method Of Highway Carbon Sink Forest

Cited by 3 publications

References 0 publications

Exploring the Potential of Roadside Plantation for Carbon Sequestration Using Simulation in Southern Quebec, Canada

Exploring the Potential of Roadside Plantation for Carbon Sequestration Using Simulation in Southern Quebec, Canada

Optimizing Vegetation Plantation for Carbon Sequestration and Water Consumption: A Case Study on the Beijing-Shanghai Expressway

Structural nonlinear damage identification based on the information distance of GNPAX/GARCH model and its experimental study

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