Topic Editors

College of Resource and Environment Sciences, Xinjiang University, Urumqi 830046, China
Dr. Xiaoping Wang
College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China
Dr. Changjiang Liu
Department of Civil Engineering, Xinjiang Institute of Technology, Aksu 843000, China
Dr. Juan Wang
The Pearl River Hydraulic Research Institute, Guangzhou 510611, China
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

Environmental Changes, Ecosystem Health and Driving Mechanisms in Watersheds

Abstract submission deadline
30 September 2023
Manuscript submission deadline
30 November 2023
Viewed by
2366

Topic Information

Dear Colleagues,

Changes in the watershed environment may have profound effects on the living space of human beings. In the context of global changes, the watershed has experienced a series of environmental problems in the past, such as grass turnover, sanding increase and retreat, lake level fluctuation, water quality change and salinization phenomenon serious. Therefore, it is especially necessary to reveal the change patterns and explore the development mechanisms for the above phenomena. In recent years, remote sensing(RS) is providing an effective data source for monitoring environmental changes at the watershed or even global scale. By introducing new technologies, methods, and experiments, RS can provide high spatial and temporal resolution dynamic measurements of basin-scale environmental changes. This Topic aims to explore the latest advances in remote sensing and GIS in environmental changes in watersheds and their driving mechanisms. Topic focuses on surface water monitoring (e.g., water storage, water quality, water level, hydrodynamics, or flooding), soil environmental monitoring (e.g., salinity, heavy metals, drought, or soil nitrogen and phosphorus elements), agricultural crops, and land use change. The manuscript should also be considered in terms of high spatial and temporal resolution monitoring, and requires a sufficient number of field observations to calibrate the model and control its prediction accuracy.

Prof. Dr. Fei Zhang
Dr. Xiaoping Wang
Dr. Changjiang Liu
Dr. Juan Wang
Dr. Xiangming Tang
Topic Editors

Keywords

  • water and soil environment
  • agricultural crops
  • remote sensing
  • land use/land cover
  • data fusion
  • driving mechanisms

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Conservation
conservation
- - 2021 30.4 Days CHF 1000 Submit
Environments
environments
3.7 5.9 2014 20 Days CHF 1500 Submit
International Journal of Environmental Research and Public Health
ijerph
- 5.4 2004 22 Days CHF 2500 Submit
Water
water
3.4 5.5 2009 16.6 Days CHF 2600 Submit
Remote Sensing
remotesensing
5.0 7.9 2009 21.1 Days CHF 2700 Submit
Agriculture
agriculture
3.6 3.6 2011 16.6 Days CHF 2600 Submit

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Published Papers (2 papers)

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Article
Copula-Based Joint Drought Index Using Precipitation, NDVI, and Runoff and Its Application in the Yangtze River Basin, China
Remote Sens. 2023, 15(18), 4484; https://doi.org/10.3390/rs15184484 - 12 Sep 2023
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Abstract
Drought monitoring ensures the Yangtze River Basin’s social economy and agricultural production. Developing a comprehensive index with high monitoring precision is essential to enhance the accuracy of drought management strategies. This study proposes the standardized comprehensive drought index (SCDI) using a novel approach [...] Read more.
Drought monitoring ensures the Yangtze River Basin’s social economy and agricultural production. Developing a comprehensive index with high monitoring precision is essential to enhance the accuracy of drought management strategies. This study proposes the standardized comprehensive drought index (SCDI) using a novel approach that utilizes the joint distribution of C-vine copula to effectively combine three critical drought factors: precipitation, NDVI, and runoff. The study analyzes the reliability and effectiveness of the SCDI in detecting drought events through quantitative indicators and assesses its applicability in the Yangtze River Basin. The findings are as follows: (1) The SCDI is a highly reliable and applicable drought index. Compared to traditional indices like the SPI, VCI, and SRI, it has a consistency rate of over 67% and can detect drought events in more sensitive months by over 51%. It has a low false negative rate of only 2% and a false positive rate of 0%, making it highly accurate. The SCDI is also applicable to all the third-level sub-basins of the Yangtze River Basin, making it a valuable tool for regional drought monitoring. (2) The time lag effect of the NDVI can affect the sensitivity of the SCDI. When the NDVI time series data are shifted forward by one month, the sensitivity of the SCDI in detecting agricultural drought improves from 47.8% to 53%. (3) The SDCI can assist in monitoring drought patterns in the Yangtze River Basin. From 2001 to 2018, the basin saw fluctuations in drought intensity, with the worst in December 2008. The western region had less frequent but more intense and prolonged droughts, while the eastern part had more frequent yet less severe droughts. Full article
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Article
Evaluation of Resources and Environment Carrying Capacity Based on Support Pressure Coupling Mechanism: A Case Study of the Yangtze River Economic Belt
Int. J. Environ. Res. Public Health 2023, 20(1), 240; https://doi.org/10.3390/ijerph20010240 - 23 Dec 2022
Cited by 1 | Viewed by 910
Abstract
Resource and environmental carrying capacity (RECC) is an important basis for achieving sustainable urban development, and analysis of the relationship between regional resources and human activities is of great significance for sustainable regional development. Taking the Yangtze River Economic Belt (YREB) as the [...] Read more.
Resource and environmental carrying capacity (RECC) is an important basis for achieving sustainable urban development, and analysis of the relationship between regional resources and human activities is of great significance for sustainable regional development. Taking the Yangtze River Economic Belt (YREB) as the study area, this study establishes a framework for analyzing RECC based on the resource and environmental support capacity (RES) and the pressure on the resource and environment (REP), calculates the RES and REP of 110 cities in the YREB from 2009 to 2018, and analyzes the main constraints on RECC. The results show that (1) there are inter-regional imbalances in RECC within the study area, with cities that are more economically developed or at a higher administrative level usually having more severe problems with RECC. (2) The RES and REP indices of cities in the YREB show an overall increasing trend, but the relative growth rates of the RES and REP indices of cities at different levels differ. (3) The built-up area, green space in built-up areas, total gas supply, and length of sewage pipes are hindering factors for most cities to improve their RES. This study contributes to a comprehensive understanding of the current situation and changing trends of RECC in the YREB and can provide a reference for decision-making on sustainable development of the region’s large river basin. Full article
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