Exploring ecosystem carbon storage change and scenario simulation in the Qiantang River source region of China

Abstract

To explore the impact of land-use change on carbon storage, this study coupled the InVEST model and the FLUS model to analyse the spatial and temporal characteristics of carbon storage in the Qiantang River source region from 2000 to 2030. The carbon storage in the study area is evaluated which declined rapidly from 166.22 × 106 t in 2000 to 164.41 × 106 t in 2020, and the spatial distribution of carbon storage could be characterized by “the northwest and the southwest of region with higher, the east and the centre of the region with lower”. The carbon storage was simulated based on the historical trend development scenario, the food security scenario, and the ecological protection scenario. The carbon storage with the food security scenario could achieve 162.74 × 106 t in 2030. The carbon storage with the ecological protection scenario had an increase of 62.60 t/km2 compared to the historical natural tendency development. Interestingly, the food security scenario had the smallest carbon loss value which is about $1.39 × 109, and its net carbon storage value was the largest which is about $3.71 × 109. The results of this study could provide a scientific reference for the conservation of carbon storage and land use management for climate change and sustainable development. This paper also can lay the foundation for subsequent further studies such as artificial intelligence.

Special collections for applying artificial intelligence techniques to encourage economic growth and maintain sustainable societies

“…They also point out that using AI monitoring systems could collect and analyze agricultural data so that the firms could promptly adjust their production strategies and subsequently improve efficiency. The second paper by Cao et al 2 employs the InVEST and FLUS models and uses 30-year Qiantang River basin data to evaluate the impacts of land-use change on carbon storage. The authors find that total carbon storage rapidly declined from 2000 to 2020.…”

“…The second paper by Cao et al 2 employs the InVEST and FLUS models and uses 30-year Qiantang River basin data to evaluate the impacts of land-use change on carbon storage. The authors find that total carbon storage rapidly declined from 2000 to 2020.…”

Application of well logging technology in geothermal resource evaluation: A case study of geothermal water wells in the Qianjiang sag, Jianghan Basin

“…T r = 0.0055D r + 41.31 (8) According to the geothermal well logging data, the temperature value at a given depth can be determined. The data show that the average geothermal temperature in the aquifer of Well CJR2 is approximately 40°C.…”

“…Exploring, developing, and utilizing geothermal resources can effectively help China achieve the goal of carbon neutrality. 8 As a green resource, geothermal resources can be used for geothermal heat pumps, floor heating, greenhouse heating, aquaculture, agricultural drying, industrial use, hot springs, refrigeration/snowmelt, and other applications. [9][10][11][12] Proper exploration, development, and utilization of geothermal resources have good economic, social, and environmental benefits.…”

“…Exploring, developing, and utilizing geothermal resources can effectively help China achieve the goal of carbon neutrality. 8 …”