A Study of the Impact of Interior Envelope Structure on Cold and Hot Load in Yangtze River Basin of China

2020 ◽  
pp. 503-511
Author(s):  
Xiaofang Deng ◽  
Wei Yu ◽  
Xiangzhong Meng
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
The Impact

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

2021 ◽  
Author(s):  
Philip E. Bett ◽  
Gill M. Martin ◽  
Nick Dunstone ◽  
Adam A. Scaife ◽  
Hazel E. Thornton ◽  
...  
Keyword(s):  
Linear Regression ◽  
River Basin ◽  
Yangtze River ◽  
Asian Summer Monsoon ◽  
Yangtze River Basin ◽  
Early Summer ◽  
Lead Times ◽  
Seasonal Forecasts ◽  
June July ◽  
The Impact

AbstractSeasonal forecasts for Yangtze River basin rainfall in June, May–June–July (MJJ), and June–July–August (JJA) 2020 are presented, based on the Met Office GloSea5 system. The three-month forecasts are based on dynamical predictions of an East Asian Summer Monsoon (EASM) index, which is transformed into regional-mean rainfall through linear regression. The June rainfall forecasts for the middle/lower Yangtze River basin are based on linear regression of precipitation. The forecasts verify well in terms of giving strong, consistent predictions of above-average rainfall at lead times of at least three months. However, the Yangtze region was subject to exceptionally heavy rainfall throughout the summer period, leading to observed values that lie outside the 95% prediction intervals of the three-month forecasts. The forecasts presented here are consistent with other studies of the 2020 EASM rainfall, whereby the enhanced mei-yu front in early summer is skillfully forecast, but the impact of midlatitude drivers enhancing the rainfall in later summer is not captured. This case study demonstrates both the utility of probabilistic seasonal forecasts for the Yangtze region and the potential limitations in anticipating complex extreme events driven by a combination of coincident factors.

scholarly journals The impact of the Three Gorges Dam on summer streamflow in the Yangtze River Basin

2019 ◽  
Vol 34 (3) ◽  
pp. 705-717
Author(s):  
Zhenkuan Su ◽  
Michelle Ho ◽  
Zhenchun Hao ◽  
Upmanu Lall ◽  
Xun Sun ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Three Gorges Dam ◽  
Three Gorges ◽  
The Yangtze River ◽  
The Three Gorges ◽  
The Yangtze River Basin ◽  
The Impact ◽  
The Three Gorges Dam

Changes in Environment Influence and Use Efficiency of Fertilizer Nitrogen in the Yangtze River Basin

2012 ◽  
Vol 610-613 ◽  
pp. 1070-1077
Author(s):  
Guang Wen Ma ◽  
Xiang Bao ◽  
Ye Yao Wang
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Water Bodies ◽  
The Yangtze River ◽  
Fertilizer Nitrogen ◽  
The Yangtze River Basin ◽  
Use Efficiency ◽  
The Impact ◽  
Environment Influence

Base on estimate the amount of nitrogen (N) added to the agroecosystem by human activities, and analyze changes in the environment influence of excess N and fertilizer nitrogen use efficiency (FNE) in agricultural fields of the Yangtze River Basin between 1990 and 2000. Excess N is stored in farmland and transferred to water bodies. The excess N stored in farmland was 2.75 Tg N in 1990 and 3.88 Tg N in 2000. The total N transferred to water bodies was 3.45 Tg N in 1990 and 5.07 Tg N in 2000. The FNE decreased by 22.17 % from 1990 to 2000. Changes in the geographic distribution of variational trends of the N budget, N transferred to water bodies, and FNE are more pronounced in the middle and lower reaches of the Yangtze River Basin. We propose effective measures for maximizing the efficiency of N use and reducing the impact of agricultural N on environment in the Yangtze River Basin.

scholarly journals The Spatiotemporal Variations of Runoff in the Yangtze River Basin under Climate Change

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Ziwei Xiao ◽  
Peng Shi ◽  
Peng Jiang ◽  
Jianwei Hu ◽  
Simin Qu ◽  
...  
Keyword(s):  
River Basin ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Annual Runoff ◽  
Sensitivity Analyses ◽  
The Yangtze River ◽  
The Yangtze River Basin ◽  
The Impact ◽  
Lower Stream ◽  
Precipitation And Temperature

A better understanding of the runoff variations contributes to a better utilization of water resources and water conservancy planning. In this paper, we analyzed the runoff changes in the Yangtze River Basin (YRB) including the spatiotemporal characteristics of intra-annual variation, the trend, the mutation point, and the period of annual runoff using various statistical methods. We also investigated how changes in the precipitation and temperature could impact on runoff. We found that the intra-annual runoff shows a decreasing trend from 1954 to 2008 and from upper stream to lower stream. On the annual runoff sequence, the upstream runoff has a high consistency and shows an increasing diversity from upper stream to lower stream. The mutation points of the annual runoff in the YRB are years 1961 and 2004. Annual runoff presents multitime scales for dry and abundance changes. Hurst values show that the runoffs at the main control stations all have Hurst phenomenon (the persistence of annual runoff). The sensitivity analyses of runoff variation to precipitation and temperature were also conducted. Our results show that the response of runoff to precipitation is more sensitive than that to temperature. The response of runoff to temperature is only one-third of the response to precipitation. A decrease in temperature may offset the impact of decreasing rainfall on runoff, while an increase in both rainfall and temperature leads to strongest runoff variations in the YRB.

scholarly journals Regional Impacts of Climate and Land Cover on Ecosystem Water Retention Services in the Upper Yangtze River Basin

2019 ◽  
Vol 11 (19) ◽  
pp. 5300
Author(s):  
Pei Xu ◽  
Yingman Guo ◽  
Bin Fu
Keyword(s):  
Climate Change ◽  
Land Cover ◽  
Land Cover Change ◽  
River Basin ◽  
Yangtze River ◽  
Water Retention ◽  
Yangtze River Basin ◽  
Upper Yangtze River ◽  
The Impact ◽  
The Upper Yangtze River

Water retention is an important factor in ecosystem services, owing to its relationships with climate and land-cover change; however, quantifying the independent and combined impacts of these variables remains a challenge. We use scenario analysis and the InVEST model to assess individual or combined impacts of climate and land cover on water retention in the Upper Yangtze River Basin. Water retention decreased from 1986 to 2015 at a rate of 2.97 mm/10a in response to increasing precipitation (3.94 mm/10a) and potential evapotranspiration (16.47 mm/10a). The rate of water retention change showed regional variability (from 68 to −18 mm/a), with some eastern regions experiencing an increase and most other regions experiencing a decrease. Farmland showed the highest decrease (10,772 km2), with land mainly converted into forest (58.17%) and shrub land (21.13%) from 2000 to 2015. The impact of climate change (−12.02 mm) on water retention generally was greater than the impact of land cover change (−4.14 mm), at the basin scale. Among 22 climate zones, 77.27% primarily were impacted by climate change; 22.73% primarily were impacted by land cover change. Our results demonstrate that both individualistic and integrated approaches toward climate and vegetation management is necessary to mitigate the impacts of climate change on water resources.

scholarly journals Multivariate Regression Analysis and Statistical Modeling for Summer Extreme Precipitation over the Yangtze River Basin, China

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Tao Gao ◽  
Lian Xie
Keyword(s):  
Heat Flux ◽  
Prediction Model ◽  
River Basin ◽  
Extreme Precipitation ◽  
Yangtze River ◽  
Yangtze River Basin ◽  
Precipitation Extremes ◽  
Statistical Prediction ◽  
Global Ocean ◽  
The Impact

Extreme precipitation is likely to be one of the most severe meteorological disasters in China; however, studies on the physical factors affecting precipitation extremes and corresponding prediction models are not accurately available. From a new point of view, the sensible heat flux (SHF) and latent heat flux (LHF), which have significant impacts on summer extreme rainfall in Yangtze River basin (YRB), have been quantified and then selections of the impact factors are conducted. Firstly, a regional extreme precipitation index was applied to determine Regions of Significant Correlation (RSC) by analyzing spatial distribution of correlation coefficients between this index and SHF, LHF, and sea surface temperature (SST) on global ocean scale; then the time series of SHF, LHF, and SST in RSCs during 1967–2010 were selected. Furthermore, other factors that significantly affect variations in precipitation extremes over YRB were also selected. The methods of multiple stepwise regression and leave-one-out cross-validation (LOOCV) were utilized to analyze and test influencing factors and statistical prediction model. The correlation coefficient between observed regional extreme index and model simulation result is 0.85, with significant level at 99%. This suggested that the forecast skill was acceptable although many aspects of the prediction model should be improved.

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