Retrieval of suspended sediment concentrations using remote sensing and machine learning methods: A case study of the lower Yellow River
Monitoring suspended sediment concentrations (SSCs) of channel waters is essential for
evaluating important issues such as erosion, sediment transport and deposition, reservoir …
evaluating important issues such as erosion, sediment transport and deposition, reservoir …
How does heavy precipitation of varying durations respond to urbanization in China?
Heavy precipitation, which is changing significantly as Earth's climate warms, can result in
flooding that seriously damages societies. However, little is known about how heavy …
flooding that seriously damages societies. However, little is known about how heavy …
Accounting for the annual variability when assessing non-point source pollution potential in Mediterranean regulated watersheds
The characterization of non-point source pollution at the watershed scale difficult owing to its
distributed nature combined with the lack of suitable measurements for validation. This study …
distributed nature combined with the lack of suitable measurements for validation. This study …
[HTML][HTML] Evolution and Analysis of Water Yield under the Change of Land Use and Climate Change Based on the PLUS-InVEST Model: A Case Study of the Yellow …
X Ma, S Liu, L Guo, J Zhang, C Feng, M Feng, Y Li - Water, 2024 - mdpi.com
Understanding the interrelationships between land use, climate change, and regional water
yield is critical for effective water resource management and ecosystem protection. However …
yield is critical for effective water resource management and ecosystem protection. However …
Satellite-based precipitation error propagation in the hydrological modeling chain across China
Satellite-based precipitation products have great potential to promote hydrological modeling
skill owing to the spatially homogeneous measurements they provide. However, satellite …
skill owing to the spatially homogeneous measurements they provide. However, satellite …
Impacts of different satellite‐based precipitation signature errors on hydrological modeling performance across China
The quasi‐global availability of satellite‐based precipitation products (SPPs) holds
significant potential for improving hydrological modeling skill. However, limited knowledge …
significant potential for improving hydrological modeling skill. However, limited knowledge …
The Important Role of Reduced Moisture Supplies from the Monsoon Region in the Formation of Spring and Summer Droughts over Northeast China
D Zeng, X Yuan - Journal of Climate, 2024 - journals.ametsoc.org
Anomalies in atmospheric moisture transport are critical for drought formation, with East
Asian monsoon anomalies identified as the primary driver of droughts in East Asia …
Asian monsoon anomalies identified as the primary driver of droughts in East Asia …
The quality assessment, integration and application of Chinese modern pollen datasets
A CUI, B FAN, D XU, Z ZHENG, Q XU, Y LUO… - Quaternary …, 2024 - dsjyj.com.cn
High-quality modern pollen datasets and accurate meteorological interpolation data are the
foundation of paleoclimate quantitative reconstruction. In recent decades, several modern …
foundation of paleoclimate quantitative reconstruction. In recent decades, several modern …
Spatiotemporal Variations and Sustainability Characteristics of Groundwater Storage in North China from 2002 to 2022 Revealed by GRACE/GRACE Follow-On and …
W Qu, P Zhang, P Chen, J Li, Y Gao - Remote Sensing, 2024 - mdpi.com
North China (NC) is experiencing significant groundwater depletion. We used GRACE and
GRACE-FO RL06 Level-2 data with Mascon data from April 2002 to July 2022. We fused …
GRACE-FO RL06 Level-2 data with Mascon data from April 2002 to July 2022. We fused …
A New High-Resolution Multi-Drought Indices Dataset for Mainland China
Drought indices are crucial for assessing and managing water scarcity and agricultural risks;
however, the lack of a unified data foundation in existing datasets leads to inconsistencies …
however, the lack of a unified data foundation in existing datasets leads to inconsistencies …