Ecoclimate drivers shape virome diversity in a globally invasive tick species.

Spillovers of viruses from animals to humans occur more frequently under warmer conditions, particularly arboviruses. The invasive tick species Haemaphysalis longicornis, the Asian longhorned tick, poses a significant public health threat due to its global expansion and its potential to carry a wide range of pathogens. We analyzed meta-transcriptomic data from 3595 adult H.

A net-zero emissions strategy for China's power sector using carbon-capture utilization and storage.

Decarbonized power systems are critical to mitigate climate change, yet methods to achieve a reliable and resilient near-zero power system are still under exploration. This study develops an hourly power system simulation model considering high-resolution geological constraints for carbon-capture-utilization-and-storage to explore the optimal solution for a reliable and resilient near-zero power system. This is applied to 31 provinces in China by simulating 10,450 scenarios combining different electricity storage durations and interprovincial transmission capacities, with various shares of abated fossil power with carbon-capture-utilization-and-storage.

Assessment of potential, cost, and environmental benefits of CCS-EWR technology for coal-fired power plants in Yellow River Basin of China.

As an effective emission reduction approach, CO capture and storage (CCS) combined with enhanced water recovery (EWR) technology can not only reduce CO emissions, but can also recover deep saline water resources to relieve pressure on regional water resources, and can ensure the energy supply and both social and economic development. However, the environmental benefits and application costs of CCS-EWR are uncertain, and are determined by the technology level, geological conditions, and other physical factors. In this study, an optimal source-sink matching model and a techno-economic assessment model were developed to evaluate the contributions of CCS-EWR to carbon emission reduction and the increase of the water supply by considering various uncertain factors, as well as the corresponding costs.

How does "the Belt and Road" and the Sino-US trade conflict affect global and Chinese CO emissions?

In the context of the rapid development of the Belt and Road (B&R) Initiative, the continuous transfer of Sino-US trade to the B&R countries is an important means to mitigate the threat of Sino-US trade, and the environmental impact of this transfer should be considered, so as to provide a scientific basis for China's policy formulation about achieving this possible trade transfer with minimized environmental impacts. This study proposes a multiregional input-output model and analyzes the impact on carbon dioxide (CO) emissions of transferring the Sino-US trade to the B&R countries for two types of scenarios. The results show the following: (1) A transfer of either the import trade or the export trade increases global and Chinese CO emissions by 81.

Inequality of household energy and water consumption in China: An input-output analysis.

Household consumption activities affect energy and water consumption directly and indirectly. Based on input-output modeling, this paper divided Chinese urban and rural residents into 12 groups, and investigated the impact of the consumption activities of residents with different levels of income on China's energy and water consumption from the perspective of consumers. Two main results were found.

The impact of climate change on residential energy consumption in urban and rural divided southern and northern China.

In different regions of China, climate change has various influences on urban and rural residential energy consumption, which also shows that the research on it could be profoundly vital in order to formulate the energy-saving and emission-reducing policies. Based the provincial panel data from 2000-2016, the extended stochastic impacts by regression on population, affluence, and technology (extended STIRPAT) model was utilized to evaluate the impacts of climate change on residential energy consumption in different Chinese regions. The results show that: (1) during 2000 to 2016, the urban and rural energy consumption enlarged by 878.

Decomposition analysis of energy-related CO emission in the industrial sector of China: Evidence from the LMDI approach.

Energy consumption and increasing CO emissions in China are mainly indorsed to the industrial sector. The objective of this study was to explore the main factors driving CO emissions in China's industry throughout 1991-2016. Based on the log-mean Divisia index (LMDI) method, this study decomposes the change of industry-related CO emissions into energy structure effect, income effect, energy intensity effect, carbon emission, and labor effect.

Comparative study on the influence of final use structure on carbon emissions in the Beijing-Tianjin-Hebei region.

The Beijing-Tianjin-Hebei region's rapid economic development has led to a dramatic increase in its CO emissions, which is closely related to various regions' consumption habits and structures. In this paper, the decomposition analysis method based on input and output (IO-SDA) was applied to decompose the CO emissions change of the Beijing-Tianjin-Hebei region from 1997 to 2012 into five driving factors: population, carbon emission efficiency, production structure, final use structure and per capita regional GDP, and then the final use structure factor was further analyzed. The results show that: (1) the population and per capita regional GDP promote the CO emissions of all regions; Carbon emission efficiency is the biggest offsetting factor; The effect of final use structure changes on the growth of CO emissions in Beijing and Hebei remains unchanged.

Exploring the changes and driving forces of water footprints in China from 2002 to 2012: A perspective of final demand.

Due to economic development and population growth, the water shortage in China has gradually become increasingly severe. In this paper, by developing an environmentally expanded input-output (IO) model, water footprint in China during 2002-2012 is calculated from the perspective of final demand. Furthermore, a structural decomposition analysis (SDA) model is used to study the driving factors of the water footprint of rural and urban household consumption, gross fixed capital formation and exports.