scholarly journals Seasonal rainfall forecasting for the Yangtze River basin using statistical and dynamical models

2019 ◽  
Vol 40 (1) ◽  
pp. 361-377 ◽  
Author(s):  
Shuni Qian ◽  
Jie Chen ◽  
Xiangquan Li ◽  
Chong‐Yu Xu ◽  
Shenglian Guo ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Seasonal Rainfall ◽  
The Yangtze River ◽  
Dynamical Models ◽  
Rainfall Forecasting ◽  
The Yangtze River Basin

scholarly journals Seasonal Rainfall Forecasts for the Yangtze River Basin in Summer 2019 from an Improved Climate Service

2020 ◽  
Author(s):  
Philip Bett ◽  
Nicola Martin ◽  
Adam Scaife ◽  
Nick Dunstone ◽  
Gill Martin ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Seasonal Rainfall ◽  
The Yangtze River ◽  
Climate Service ◽  
The Yangtze River Basin ◽  
Seasonal Rainfall Forecasts

scholarly journals Seasonal Rainfall Forecasts for the Yangtze River Basin in the Extreme Summer of 2020

2021 ◽  
Author(s):  
Philip Bett ◽  
Gill Martin ◽  
Nick Dunstone ◽  
Adam Scaife ◽  
Hazel Thornton ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Seasonal Rainfall ◽  
The Yangtze River ◽  
The Yangtze River Basin ◽  
Seasonal Rainfall Forecasts

scholarly journals Co-development of a seasonal rainfall forecast service: Supporting flood risk management for the Yangtze River basin

2019 ◽  
Vol 23 ◽  
pp. 43-49 ◽  
Author(s):  
Nicola Golding ◽  
Chris Hewitt ◽  
Peiqun Zhang ◽  
Min Liu ◽  
Jun Zhang ◽  
...  
Keyword(s):  
Risk Management ◽  
River Basin ◽  
Flood Risk ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Flood Risk Management ◽  
Seasonal Rainfall ◽  
The Yangtze River ◽  
Rainfall Forecast ◽  
The Yangtze River Basin

scholarly journals Seasonal Rainfall Forecasts for the Yangtze River Basin of China in Summer 2019 from an Improved Climate Service

2020 ◽  
Vol 34 (5) ◽  
pp. 904-916 ◽  
Author(s):  
Philip E. Bett ◽  
Nicola Martin ◽  
Adam A. Scaife ◽  
Nick Dunstone ◽  
Gill M. Martin ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Seasonal Rainfall ◽  
The Yangtze River ◽  
Climate Service ◽  
The Yangtze River Basin ◽  
Seasonal Rainfall Forecasts

scholarly journals Spatiotemporal Pattern of Pine Wilt Disease in the Yangtze River Basin

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 731
Author(s):  
Zhuoqing Hao ◽  
Jixia Huang ◽  
Yantao Zhou ◽  
Guofei Fang
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Spatiotemporal Pattern ◽  
Pinewood Nematode ◽  
The Yangtze River ◽  
Pine Wilt ◽  
The Yangtze River Basin

The Yangtze River Basin is among the river basins with the strongest strategic support and developmental power in China. As an invasive species, the pinewood nematode (PWN) Bursaphelenchus xylophilus has introduced a serious obstacle to the high-quality development of the economic and ecological synchronization of the Yangtze River Basin. This study analyses the occurrence and spread of pine wilt disease (PWD) with the aim of effectively managing and controlling the spread of PWD in the Yangtze River Basin. In this study, statistical data of PWD-affected areas in the Yangtze River Basin are used to analyse the occurrence and spread of PWD in the study area using spatiotemporal visualization analysis and spatiotemporal scanning statistics technology. From 2000 to 2018, PWD in the study area showed an “increasing-decreasing-increasing” trend, and PWD increased explosively in 2018. The spatial spread of PWD showed a “jumping propagation-multi-point outbreak-point to surface spread” pattern, moving west along the river. Important clusters were concentrated in the Jiangsu-Zhejiang area from 2000 to 2015, forming a cluster including Jiangsu and Zhejiang. Then, from 2015–2018, important clusters were concentrated in Chongqing. According to the spatiotemporal scanning results, PWD showed high aggregation in the four regions of Zhejiang, Chongqing, Hubei, and Jiangxi from 2000 to 2018. In the future, management systems for the prevention and treatment of PWD, including ecological restoration programs, will require more attention.

Impacts of land use change on thermodynamic and dynamic changes of precipitation for the Yangtze River Basin, China

2021 ◽  
Author(s):  
Qian Lin ◽  
Jie Chen ◽  
Wei Li ◽  
Kailin Huang ◽  
Xuezhi Tan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
The Yangtze River ◽  
Dynamic Changes ◽  
The Yangtze River Basin

scholarly journals Using the Global Hydrodynamic Model and GRACE Follow-On Data to Access the 2020 Catastrophic Flood in Yangtze River Basin

2021 ◽  
Vol 13 (15) ◽  
pp. 3023
Author(s):  
Jinghua Xiong ◽  
Shenglian Guo ◽  
Jiabo Yin ◽  
Lei Gu ◽  
Feng Xiong
Keyword(s):  
River Basin ◽  
Hydrodynamic Model ◽  
Yangtze River ◽  
Large Scale ◽  
Yangtze River Basin ◽  
The Yangtze River ◽  
Ecosystem Monitoring ◽  
Catastrophic Flood ◽  
Basin Scale ◽  
The Yangtze River Basin

Flooding is one of the most widespread and frequent weather-related hazards that has devastating impacts on the society and ecosystem. Monitoring flooding is a vital issue for water resources management, socioeconomic sustainable development, and maintaining life safety. By integrating multiple precipitation, evapotranspiration, and GRACE-Follow On (GRAFO) terrestrial water storage anomaly (TWSA) datasets, this study uses the water balance principle coupled with the CaMa-Flood hydrodynamic model to access the spatiotemporal discharge variations in the Yangtze River basin during the 2020 catastrophic flood. The results show that: (1) TWSA bias dominates the overall uncertainty in runoff at the basin scale, which is spatially governed by uncertainty in TWSA and precipitation; (2) spatially, a field significance at the 5% level is discovered for the correlations between GRAFO-based runoff and GLDAS results. The GRAFO-derived discharge series has a high correlation coefficient with either in situ observations and hydrological simulations for the Yangtze River basin, at the 0.01 significance level; (3) the GRAFO-derived discharge observes the flood peaks in July and August and the recession process in October 2020. Our developed approach provides an alternative way of monitoring large-scale extreme hydrological events with the latest GRAFO release and CaMa-Flood model.

Bacterial diversity patterns differ in different patch types of mixed forests in the upstream area of the Yangtze River Basin

2021 ◽  
Vol 161 ◽  
pp. 103868
Author(s):  
Xun Li ◽  
Yan Zhang ◽  
Simeng Song ◽  
Yang Zhou ◽  
Jian Zhang
Keyword(s):  
Bacterial Diversity ◽  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
The Yangtze River ◽  
Mixed Forests ◽  
Diversity Patterns ◽  
The Yangtze River Basin

Precipitation extremes in the Yangtze River Basin, China: regional frequency and spatial–temporal patterns

2013 ◽  
Vol 116 (3-4) ◽  
pp. 447-461 ◽  
Author(s):  
Yongqin David Chen ◽  
Qiang Zhang ◽  
Mingzhong Xiao ◽  
Vijay P. Singh ◽  
Yee Leung ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Temporal Patterns ◽  
Precipitation Extremes ◽  
The Yangtze River ◽  
The Yangtze River Basin ◽  
Regional Frequency
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