Article
Environmental Sciences
Yuanyuan Sun, Yuan Zhi, Yanwei Zhao
Summary: The study found that a carbon tax can reduce the total water footprint, even though the water footprint for primary industries increased. In addition, the tax could decrease the virtual water content, and the reduction of virtual water content is the greatest for the secondary industries.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Hong-Dian Jiang, Li-Jing Liu, Hong-Mei Deng
Summary: This study examines the impact of carbon, sulfur, and nitrogen taxes on environmental emissions and socioeconomic factors in China. The results indicate that levying sulfur/nitrogen taxes can help achieve emission reduction targets and save socioeconomic costs.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Environmental Studies
Yue Zhang, Fan Xia, Bing Zhang
Summary: This paper examines the effect of raising tax rates on reducing industrial water pollution in China. The study uses the 2018 environmental tax reform as a quasi-natural experiment and analyzes micro-level data from over 19,000 firms nationwide. The results indicate that for every unit of tax rate increase, water pollutant emissions of COD and NH3-N decrease by 8.63% and 3.79% respectively. The study also finds that high emission intensity firms reduce their emissions more than low emission intensity firms, and state-owned enterprises are less responsive to the tax increase compared to non-state-owned enterprises. Overall, the findings suggest that the increased environmental tax has played a significant role in reducing industrial emissions in China.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2023)
Article
Economics
Jing Cao, Hancheng Dai, Shantong Li, Chaoyi Guo, Mun Ho, Wenjia Cai, Jianwu He, Hai Huang, Jifeng Li, Yu Liu, Haoqi Qian, Can Wang, Libo Wu, Xiliang Zhang
Summary: We conducted a multi-model comparison of a carbon tax policy in China, finding that while the 2030 NDC target can easily be met in all models, the 2060 carbon neutrality goal cannot be achieved even with the highest carbon tax rates. The 8 CGE models differed substantially in terms of impacts on the macroeconomy, aggregate prices, energy use, carbon reductions, industry level output, and price effects.
Article
Green & Sustainable Science & Technology
Chao Xu, Yaoqin Cai, Cai Zhou, Yilin Qi
Summary: Contrary to the Chinese central government's strong encouragement of green development, the initiative of local governments in pollution control remains inefficient. This paper examines the impact of sub-provincial revenue share on industrial pollution at the prefecture level, and explores the influence of fiscal incentives caused by VAT tax sharing on local government decision-making.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Green & Sustainable Science & Technology
Yuanyuan Sun, Jun Zhang, Xianqiang Mao, Xinan Yin, Gengyuan Liu, Yanwei Zhao, Wei Yang
Summary: This study examined the impacts of energy and carbon taxes on the energy-water nexus. It found that both taxes have significant effects on the proportion of water and energy consumption in direct-use and embodied-use nexus, but similar effects on the hybrid-use nexus.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Economics
Jinzhu Zhang, Yu Liu, Meifang Zhou, Boyang Chen, Yawen Liu, Baodong Cheng, Jinjun Xue, Wei Zhang
Summary: This study empirically tests the regulatory effects of environmental information disclosure (EID) under environmental taxes in China using an environmental computable general equilibrium (CGE) model. The results show that improvements in EID have a double dividend effect of strengthening pollutant emissions reduction and stimulating economic growth under environmental taxes, but this effect varies significantly in terms of time and industry. The study highlights the importance of EID as a beneficial supplement to formal environmental regulation measures.
Article
Green & Sustainable Science & Technology
Shuyang Chen
Summary: The study found that urbanisation has a positive impact on China's economy but a negative impact on carbon emissions. Urbanisation will reinforce the policy effects of the carbon tax on emissions and welfare.
Article
Economics
Na Liu, Xilong Yao, Fang Wan, Yunfei Han
Summary: Based on a dynamic CGE model, this paper explores the impact of revenue recycling schemes based on industry-differentiated carbon taxes. The findings show that indirect revenue recycling schemes can effectively mitigate the negative economic impacts of carbon taxes, while direct recycling schemes may affect carbon reduction effects. Different industries should adopt different revenue recycling schemes, with reductions in corporate and personal income taxes being more beneficial for carbon emission reduction.
Article
Green & Sustainable Science & Technology
Lijun Liu, Jiayu Jiang, Jiacong Bian, Yazhou Liu, Guanghua Lin, Yingkai Yin
Summary: The study found that command-and-control environmental regulation has a inhibitory effect on industrial growth, while market-based incentive environmental regulation has little impact on industrial growth and is beneficial for technological innovation in enterprises.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Xuanjing Chen, Yating Wang, Zhaohai Bai, Lin Ma, Maryna Strokal, Carolien Kroeze, Xinping Chen, Fusuo Zhang, Xiaojun Shi
Summary: This study in China found that despite a tripling in detergent consumption from 2000 to 2018, phosphorus inputs to surface waters from detergent use actually decreased by 35%. The effective policy of P-free detergents implemented in 2000 helped prevent a potential fourfold increase in detergent P losses. In the future, further reduction in detergent P inputs to Chinese surface waters is possible with the use of completely P-free detergents, urbanized population connected to sewage systems, and improved P removal in sewage treatment systems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Engineering, Environmental
Yibing Zhao, Can Wang, Wenjia Cai
Summary: This study evaluates the effects of carbon pricing policies and revenue recycling schemes on inequality and finds that progressive individual income tax systems play a significant role in reducing income gaps.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Yuanyuan Sun, Xianqiang Mao, Xinan Yin, Gengyuan Liu, Jun Zhang, Yanwei Zhao
Summary: This study explores the impact of carbon tax rate and tax revenue recycling shares on the economy and carbon emissions through a computable general equilibrium model. A nonlinear optimization model is proposed to optimize both steps of carbon taxation synchronously, aiming to promote GDP and CO2 emission reduction. The optimized taxation scheme, applied in the Bohai Bay area in China, leads to lower carbon emissions and greater economic growth, showcasing a strong double dividend with cleaner air and energy structures.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Environmental Sciences
Chaomeng Ma, Hongzhen Ni, Yunzhong Jiang, Xichen Lin
Summary: The arid regions of Northwest China are facing water shortages and ecological fragility. This article proposes raising the price of Yellow River water to subsidize mine water utilization and achieve optimal socio-economic output. The results show that increasing the price of Yellow River water by 8% to subsidize mine water significantly improves water-use efficiency without affecting industrial value added.
Article
Energy & Fuels
Jinbo Zhang, Lirong Liu, Yulei Xie, Dengcheng Han, Yang Zhang, Zheng Li, Huaicheng Guo
Summary: Faced with climate change and water scarcity, a research study has developed a policy analysis model to explore the environmental and economic impacts of carbon taxes and wastewater taxes. The study finds that implementing carbon taxes and wastewater taxes can reduce carbon emissions and alleviate water scarcity, but may lead to economic contraction. The study emphasizes the importance of joint taxation strategies and the promotion of sector transformations to enhance regional resilience.
Article
Engineering, Civil
Ming Zhong, Ting Zeng, Tao Jiang, Huan Wu, Xiaohong Chen, Yang Hong
Summary: This study explores the use of copula function approach for joint probability analyses of flash flood risks, considering the combined effects of soil moisture and rainfall indexes. The results showed that the probability of flash floods increased with increasing risk parameter thresholds, and the return periods of bivariate joint distribution were smaller than those of multivariate joint distribution. Additionally, the occurrence probability of flash floods is higher in regions with higher maximum 1-hour rainfall, when peak flow and soil moisture are fixed.
WATER RESOURCES MANAGEMENT
(2021)
Article
Engineering, Civil
Gang Zhao, Ronghua Liu, Mingxiang Yang, Tongbi Tu, Meihong Ma, Yang Hong, Xiekang Wang
Summary: The study proposed a deep learning-based approach for flash flood warning in mountainous and hilly areas of China, outperforming traditional methods and showing better results when considering spatial features and long time series of precipitation. The approach provided reliable flash flood warnings, particularly when used in conjunction with ensemble results to mitigate uncertainty caused by small or unbalanced learning samples.
JOURNAL OF HYDROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Taereem Kim, Tiantian Yang, Lujun Zhang, Yang Hong
Summary: This study applies CNN models to predict rainfall observation imagery for hurricane predictions. The results show satisfactory performance of the CNN models, but with limitations in underestimating larger rainfall rates.
ATMOSPHERIC RESEARCH
(2022)
Article
Geography, Physical
Binjie Chen, Yang Ye, Cheng Tong, Jinsong Deng, Ke Wang, Yang Hong
Summary: This article proposes a novel big data based iterative variation mining framework (IVMF) to reconstruct large-scale aerosol optical depth (AOD) data over China from 2000 to 2020. The results demonstrate that the IVMF can effectively and accurately resolve the missing AOD data problem, and have great potential to be generalized to other regions and remote sensing products.
GISCIENCE & REMOTE SENSING
(2022)
Article
Engineering, Civil
Zhi Li, Guoqiang Tang, Pierre Kirstetter, Shang Gao, J-L F. Li, Yixin Wen, Yang Hong
Summary: This study evaluates the performance of IMERG in extreme precipitation events in the US and compares different sensors and products. The results reveal uncertainties and variations in extreme precipitation estimates in IMERG.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Civil
Weiyue Li, Qin Jiang, Xiaogang He, Haiqing Sun, Weiwei Sun, Marco Scaioni, Sheng Chen, Xin Li, Jun Gao, Yang Hong
Summary: This study develops an effective method to fuse multiple satellite-based precipitation products and improve their accuracy. The results demonstrate that the fused precipitation estimates outperform individual satellite-based products and perform better across different precipitation thresholds.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Zhi Li, Shang Gao, Mengye Chen, Jonathan J. Gourley, Yang Hong
Summary: Floods in the US exhibit strong spatiotemporal variability, mainly controlled by precipitation types and catchment attributes. In a future warmer climate, flood frequency and extent are projected to increase, while rainfall and flood seasonality are expected to weaken. The correlation between extreme rainfall and flood onsets will also change.
Article
Computer Science, Interdisciplinary Applications
Zhi Li, Mengye Chen, Shang Gao, Yixin Wen, Jonathan J. Gourle, Tiantian Yang, Randall Kolar, Yang Hong
Summary: This study evaluates the performance of hydrologic and hydraulic models with and without the reinfiltration process in extreme flooding events. The results emphasize the importance of considering the reinfiltration process even in extreme flood simulations. Saturated hydraulic conductivity and antecedent soil moisture are identified as the main factors contributing to the differences in model performance. The evaluation against stream gauges and high water marks for the Hurricane Harvey event shows that the reinfiltration scheme significantly improves the efficiency score and reduces the maximum depth differences. A recent update of the CREST-iMAP model Version 1.1, which incorporates two-way coupling and the reinfiltration scheme, has also been released for public access.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Engineering, Civil
Mengye Chen, Zhi Li, Shang Gao, Ming Xue, Jonathan J. Gourley, Randall L. Kolar, Yang Hong
Summary: Flood prediction techniques have advanced and this study showcases a comprehensive flood prediction for Hurricane Harvey using high-resolution quantitative precipitation forecasts and deep learning nowcasts. The results indicate the strengths and limitations of different methods in terms of accuracy and precipitation intensity prediction.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Mengye Chen, Yongjie Huang, Zhi Li, Albert Johan Mamani Larico, Ming Xue, Yang Hong, Xiao-Ming Hu, Hector Mayol Novoa, Elinor Martin, Renee McPherson, Jiaqi Zhang, Shang Gao, Yixin Wen, Andres Vitaliano Perez, Isaac Yanqui Morales
Summary: Precipitation estimate is crucial for earth science studies and applications, but accurate estimates are challenging in regions with complex terrains and remote lands. This study evaluates various precipitation products and finds that their accuracy varies in different regions.
Article
Environmental Sciences
Zhen Hong, Hernan A. Moreno, Zhi Li, Shuo Li, John S. Greene, Yang Hong, Laura Alvarez
Summary: Improvements in soil moisture observations and modeling are crucial for managing and predicting drought, water resources, flooding, and landslides. However, there is a need for multisensor products that integrate different spatial scales. This study explores the use of the triple collocation method to assess three soil moisture products and recommends product merging. The results show that Mesonet and Noah are the most reliable products, with variations in their performance based on geography and land cover types.
Article
Nutrition & Dietetics
Xiuli Liu, Mun S. Ho, Geoffrey J. D. Hewings, Yuxing Dou, Shouyang Wang, Guangzhou Wang, Dabo Guan, Shantong Li
Summary: Our research aims to improve short-term grain demand (GD) prediction by establishing a multi-factor model that integrates key factors such as dietary structures, population size and age structure, urbanization, food waste, and the impact of COVID-19. Results indicate that simultaneous consideration of multiple factors, particularly dietary structure and demographic composition, can lead to a more accurate prediction of GD.
Article
Geochemistry & Geophysics
B. Liu, W. Wan, Guoqiang Tang, H. Li, Z. Guo, X. Chen, Yang Hong
Summary: This study focuses on the coherent components and speckle issue in GNSS-R, and presents a method for water mapping with improved accuracy by analyzing statistical distribution and multilook statistics.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geosciences, Multidisciplinary
Zhi Li, Shang Gao, Mengye Chen, Jonathan Gourley, Naoki Mizukami, Yang Hong
Summary: This study presents a hydrologic modeling framework, CREST-VEC, which combines a gridded water balance model and a newly developed vector-based routing scheme. The framework demonstrates significant improvements in computational efficiency and performance compared to conventional fully-gridded models, and incorporates a lake module for further enhanced accuracy. The proposed framework provides a solid basis for continental- and global-scale water modeling and allows for optimized streamflow predictions with quantified uncertainty information.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Environmental Sciences
Zhi Li, Shang Gao, Mengye Chen, Jonathan J. Gourley, Changhai Liu, Andreas F. Prein, Yang Hong
Summary: This study uses high-resolution climate simulations to reveal the changes in future flash floods. The results show that flashiness of floods in the US will increase, particularly in the Southwest and central regions. It calls for climate-resilient measures for emerging flash flood hot spots.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
