Hydrology and water cycles are key elements of earth system. Under dual impacts from climate change and human activities, many regions around the world are facing water-related challenges. For example, floods, urban waterlogging, landslides, and other disasters brought about by extreme precipitation weather such as typhoons and storms, as well as high-intensity human activities (including near-shore farming, industrial activities, and coastal development) have caused a series of environmental problems; increasing drought severity in arid and semiarid regions, and groundwater depletion have caused critical water crises. Water crises have further led to ecological degradation, poor sanitation, and endanger human health and welfare. Studying the hydrological process, water resources, water environment, and the coupled human-water-ecology system is important for understanding the socio-ecosystem process and its impact on regional water ecology and environmental changes.
This Research Topic seeks sustainable solutions to build new environment monitoring approaches and advance the understanding of socio-environmental impact on hydrology process, water environment, and ecosystem. We welcome contributors to share their studies in hydrology monitoring and simulations, water quality monitoring and assessment, and ecosystem environment monitoring from the perspective of multiple data sources and models. Any study that explores the hydro-human-ecology systems and their coupled relationships to support decision-making aimed at addressing environmental challenges is encouraged.
The topics can be but are not limited to:
1) Hydrology process and flood monitoring and prediction.
2) Development and improvement of hydrology and water resources models.
3) Development of high-resolution hydrological products based on multiple data fusion and assimilation.
4) Water or soil diagnosis and their socio-environmental assessment.
5) Evaluation of ecosystem environment quality.
6) Deep learning algorithms to retrieve hydrological features, water pollution from multiple observations and models.
Hydrology and water cycles are key elements of earth system. Under dual impacts from climate change and human activities, many regions around the world are facing water-related challenges. For example, floods, urban waterlogging, landslides, and other disasters brought about by extreme precipitation weather such as typhoons and storms, as well as high-intensity human activities (including near-shore farming, industrial activities, and coastal development) have caused a series of environmental problems; increasing drought severity in arid and semiarid regions, and groundwater depletion have caused critical water crises. Water crises have further led to ecological degradation, poor sanitation, and endanger human health and welfare. Studying the hydrological process, water resources, water environment, and the coupled human-water-ecology system is important for understanding the socio-ecosystem process and its impact on regional water ecology and environmental changes.
This Research Topic seeks sustainable solutions to build new environment monitoring approaches and advance the understanding of socio-environmental impact on hydrology process, water environment, and ecosystem. We welcome contributors to share their studies in hydrology monitoring and simulations, water quality monitoring and assessment, and ecosystem environment monitoring from the perspective of multiple data sources and models. Any study that explores the hydro-human-ecology systems and their coupled relationships to support decision-making aimed at addressing environmental challenges is encouraged.
The topics can be but are not limited to:
1) Hydrology process and flood monitoring and prediction.
2) Development and improvement of hydrology and water resources models.
3) Development of high-resolution hydrological products based on multiple data fusion and assimilation.
4) Water or soil diagnosis and their socio-environmental assessment.
5) Evaluation of ecosystem environment quality.
6) Deep learning algorithms to retrieve hydrological features, water pollution from multiple observations and models.
