scholarly journals Disentangling the relative impacts of climate change and human activities on fluvial sediment supply to the coast by the world’s large rivers: Pearl River Basin, China

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Roshanka Ranasinghe ◽  
Chuang Shou Wu ◽  
John Conallin ◽  
Trang Minh Duong ◽  
Edward Jamal Anthony
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Sediment Supply ◽  
Large Rivers ◽  
Pearl River ◽  
Pearl River Basin ◽  
Fluvial Sediment ◽  
Impacts Of Climate Change

Projection of future streamflow changes of the Pearl River basin in China using two delta-change methods

2015 ◽  
Vol 47 (1) ◽  
pp. 217-238 ◽  
Author(s):  
Fei Yuan ◽  
Yeou-Koung Tung ◽  
Liliang Ren
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Future Climate Change ◽  
Pearl River ◽  
Daily Maximum ◽  
Climatic Data ◽  
Pearl River Basin ◽  
Delta Change ◽  
The Pearl River ◽  
The Pearl River Basin

Considerable biases in precipitation simulations in climate models have required the adoption of delta-change approaches to construct future precipitation scenarios for hydrological climate change impact studies. However, different delta-change methods yield different future precipitation scenarios that might significantly affect the projected future streamflow. To assess these effects, two delta-change methods were compared: the simple delta-change (SDC) method with a constant scaling factor and the quantile-quantile delta-change (QQDC) method with a quantile mapping-based non-uniform delta factor. The Xinanjiang (XAJ) hydrological model was applied using historical climatic data and two future precipitation scenarios for streamflow simulations in the Pearl River basin, China. The results show that the two delta-change methods have significant influences on future precipitation and streamflow projections, and these impacts become more distinct at finer and extreme event time scales. For instance, the QQDC method projects the 20-year daily maximum precipitation to be 8.1–98.6% higher than the SDC method. Consequently, the XAJ model with the QQDC future precipitation produces the 20-year daily maximum streamflow to be approximately 7.0–65.0% higher than that using the SDC precipitation. It implies that future precipitation transformation methods are a source of uncertainty, affecting future discharge projections. Such uncertainty should be considered in water resources management and flood control strategies for future climate change adaptations.

Assessments of Impacts of Climate Change and Human Activities on Runoff with SWAT for the Huifa River Basin, Northeast China

2012 ◽  
Vol 26 (8) ◽  
pp. 2199-2217 ◽  
Author(s):  
Aijing Zhang ◽  
Chi Zhang ◽  
Guobin Fu ◽  
Bende Wang ◽  
Zhenxin Bao ◽  
...  
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Human Activities ◽  
Northeast China ◽  
Impacts Of Climate Change

scholarly journals Moisture Variability in the East Pearl River Basin since 1894 CE Inferred from Tree Ring Records

Atmosphere ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1075
Author(s):  
Teng Li ◽  
Jinbao Li ◽  
Tsun Fung Au ◽  
David D. Zhang
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Tree Ring ◽  
Climatic Research Unit ◽  
Pearl River ◽  
Spatial Correlations ◽  
Pearl River Basin ◽  
The Pearl River ◽  
The Pearl River Basin ◽  
Moisture Variability

Short-term climate change in South China has been extensively studied based on meteorological or hydrological records. However, tree ring-based long-term climate change research is rare, especially in the Pearl River basin, owing to the difficulty in finding old-aged trees. Here, we present a 200-year tree ring width chronology of Pinus kwangtungensis in the east Pearl River basin with reliable coverage from 1894 to 2014. Based on the significant climate-growth relationship between tree growth and annual self-calibrating Palmer drought severity index (scPDSI) from previous May to current April, the pMay-cApr scPDSI was reconstructed for the period 1894–2014. The reconstruction reveals four dry periods during 1899–1924, 1962–1974, 1988–1994, and 2003–2014, and four wet periods during 1894–1898, 1925–1961, 1975–1987, and 1995–2002. Significant spatial correlations between the reconstructed scPDSI and the Climatic Research Unit (CRU) gridded scPDSI indicate that our reconstruction can effectively represent regional moisture variability in the Pearl River basin. Spatial correlations with global sea surface temperatures (SSTs) show that our reconstruction is negatively correlated with northern and western Pacific SSTs while positively correlated with eastern Pacific SSTs, suggesting that SST variability in these domains strongly affects moisture change in the Pearl River basin.

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