Chaowei Zhou
Chang'an University
10 Papers
5 Citations
Chaowei Zhou is an academic researcher from Chang'an University. The author has contributed to research in topics: Ecosystem & Risk assessment. The author has an hindex of 2, co-authored 2 publications.
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Papers
Urban forest monitoring based on multiple features at the single tree scale by UAV
TL;DR: The workflow of information extraction and urban forest classification based on UAV images in this paper yields high performance, which has important significance as a reference for future relevant research.
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Ecological risk assessment and identification of risk control priority areas based on degradation of ecosystem services: A case study in the Tibetan Plateau
TL;DR: In this article , a two-dimensional matrix is constructed based on the probability of risk occurrence and the possible loss caused by the risk for ecological risk assessment, with topographic sensitivity, ecological resilience, landscape vulnerability, and ecological sensitivity as probability representations, and the degradation of key ecosystem services as loss representations to improve the traditional ERA model.
24
Testing the Efficiency of Using High-Resolution Data From GF-1 in Land Cover Classifications
TL;DR: The results indicate that the accuracy of the GF-1 image classification is superior to the results when using the same method with the Landsat 8 and Sentinel-2A images, with the overall classification accuracy increasing by 23.6% and 13.6%.
6
Imbalance in lake variability but not embodying driving factors on the Qinghai-Tibetan Plateau calls on heterogeneous lake management.
Xue Leng,Xiaoming Feng,Yu Feng,Chuanlian Sun,Xiaochi Liu,Yu Zhang,Chaowei Zhou,Yunqiang Wang,Bojie Fu +8 more
TL;DR: Research on Qinghai-Tibetan Plateau lakes reveals imbalance in variability, but not in driving factors, with net precipitation (57.75%) and glacier runoff (33.53%) being primary causes, necessitating heterogeneous lake management approaches.
2
Energy transition towards photovoltaic and wind mitigates trade-offs between energy water use and irrigation in the yellow river basin
Yichu Huang,Xiao-Ling Feng,Junze Zhang,Chaowei Zhou,Bojie Fu +4 more
Abstract: Reconciling societal water needs and ecosystem services is integral to sustainable development in big river basins. Renewable energy such as photovoltaic (PV) and wind power provides opportunities to mitigate sectoral water use, but quantifying their effects on the water-energy-land nexus remains challenging. Using an engineering-economic optimization model, this study quantifies how, and to what extent, energy transition towards PV and wind mitigates water competition between the energy and land sectors in the Yellow River Basin from 2020 to 2050. Results show that under current conditions, energy water use increases by 32.9 × 108 m3 yr−1 (+34.2%) while irrigation water decreases by 23.3 × 108 m3 yr−1 (−12.7%) compared to the baseline. Transitioning to PV and wind energy, alongside electricity transmission, substantially alleviates the competition. Energy water use decreases by 82.1 × 10⁸ m3 yr−1 (−63.7%) across the basin, and irrigation water is replenished by 21.9 × 108 m3 yr−1 (+54.7%) in Inner Mongolia and 1.6 × 108 m3 yr−1 (+35.9%) in Shandong. Though costly, the transmission line from Inner Mongolia and Shandong is prioritized for reducing the local consumption of renewable energy, ensuring downstream energy supply and restoring irrigation water availability. These findings underscore the critical role of transitioning to renewable energy in resolving sectoral water conflicts, and highlight the importance of electricity transmission in balancing spatial disparities in energy and irrigation demands across the basin.