Resources and Environment in the Yangtze Basin
Resources and Environment in the Yangtze Basin (issn: 10048227) is a scopus indexed journal since 1996 upto now. This journal is sponsored by Bureau of Science and Technology for Resources and Environment of Chinese Academy of Sciences (CAS) and the Wuhan Documentation and Information Center of CAS and published by Science Press. It is committed to publishing high-quality, original research on the all topics of environmental science and environmental engineering.
Aim and Scope
Resources and Environment in the Yangtze Basin (ISSN: 10048227)
- is a peer-reviewed journal. The journal seeks to publish original research articles that are hypothetical and theoretical in its nature and that provide exploratory insights in the following fields but not limited to:Environmental Science,
Environmental Engineering,
Nature and Landscape Conservation,
Water Science, resource and Technology,
Ecology, Management, Monitoring, Policy and Law.
Submission Deadline
Volume -
42
, Issue
01
20 Jan 2026
Volume -
not available
, Issue
not available
00:00:00
Upcoming Publication
Latest Journals
Resources and Environment in the Yangtze Basin
Estimation of Mitigation Effect of Sponge City Reconstruction on Heat Island Effect
Sponge city is a method of managing rain floods, proposed by China to deal with urban waterlogging and the overflow pollution of drainage pipe networks, which indicates a more effective strategy to promote urban sustainable development. Due to the diversity of sponge city construction objectives and the complexity of the developmental system, a unified and effective sustainability evaluation method has not yet been formed. Based on the emergy analysis method, the indicators of ecosystem service, the construction cost, the runoff regulation, and the pollutant reduction of sponge city constru
Study on the Center of Gravity Movement and Driving Effect of Residents' Domestic Water Use in the Yangtze River Economic Belt
It is important to analyze the expansion of an urban area and the factors that drive its expansion. Therefore, this study is based on Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) night lighting data, using the landscape index, spatial expansion strength index, compactness index, urban land fractal index, elasticity coefficient, the standard deviation ellipse, spatial correlation analysis, and partial least squares regression to analyze the spatial and temporal evolution of urban land expansion and its driving factors in the Yangtze River Economic Belt (YRE
Effects of Land Use Patterns on Soil Aggregate Stability in Small Watershed of Yangtze River, Located in Western Hubei
Accelerated land use and land cover changes affect regional landscape patterns and change the ecological environment, including soil conservation capabilities. This is not conducive to the sustainable development of human society. In this research, we explored the land use change pattern and landscape change pattern in western Hubei from 2000 to 2020. Using the Chinese soil loss equation and stepwise regression, we measure how landscape patterns affect soil erosion under land use and cover changes in western Hubei Province. The results show that average soil erosion in the mountainous areas
Impacts of Jiangjiakou Reservoir on Water Temperature Regime of Downstream River Channel
Reservoirs change downstream thermal regimes by releasing water of different temperatures to that under natural conditions, which may then alter downstream biodiversity and ecological processes. The hydropower exploitation in the mainstream Lancang-Mekong River has triggered concern for its potential effects on downstream countries, especially the impact of the released cold water on local fishery production. However, it was observed recently that the annual water temperature downstream of the Jinghong Reservoir (near the Chinese border) has increased by 3.0 °C compared to its historica
Temporal and Spatial Patterns of Interprovincial Carbon Compensation in China Based on Relative Carbon Deficit
Based on the total carbon emission data of 30 provinces and cities in China from 2000 to 2020, this paper used non-parametric kernel density estimation and traditional and spatial Markov probability transfer matrix methods to explore the temporal and spatial dynamic evolution characteristics of carbon dioxide emissions in China and then used a super-SBM model to calculate the carbon emission reduction potential of each province. The results showed that: (1) from 2000 to 2020, the total carbon emissions in China showed an upward trend of fluctuation, from 1.35 Gt to 4.90 Gt year by year, wit