Impact of climate change on 24-h design rainfall depth estimation in Qiantang River Basin, East China

2012 ◽  
Vol 26 (26) ◽  
pp. 4067-4077 ◽  
Author(s):  
Yue-Ping Xu ◽  
Xujie Zhang ◽  
Ye Tian
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Depth Estimation ◽  
East China ◽  
Impact Of Climate Change ◽  
Qiantang River ◽  
Design Rainfall ◽  
Rainfall Depth ◽  
Qiantang River Basin ◽  
H Design

Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China

2013 ◽  
Vol 483 ◽  
pp. 51-60 ◽  
Author(s):  
Yue-Ping Xu ◽  
Xujie Zhang ◽  
Qihua Ran ◽  
Ye Tian
Keyword(s):  
Climate Change ◽  
River Basin ◽  
East China ◽  
Impact Of Climate Change ◽  
Qiantang River ◽  
Qiantang River Basin

Design rainfall depth estimation through two regional frequency analysis methods in Hanjiang River Basin, China

2011 ◽  
Vol 107 (3-4) ◽  
pp. 563-578 ◽  
Author(s):  
Yue-Ping Xu ◽  
Chaofeng Yu ◽  
Xujie Zhang ◽  
Qingqing Zhang ◽  
Xiao Xu
Keyword(s):  
River Basin ◽  
Frequency Analysis ◽  
Depth Estimation ◽  
Regional Frequency Analysis ◽  
Analysis Methods ◽  
Design Rainfall ◽  
Rainfall Depth ◽  
Hanjiang River ◽  
Regional Frequency

Historical pan evaporation changes in the Qiantang River Basin, East China

2015 ◽  
Vol 36 (4) ◽  
pp. 1928-1942 ◽  
Author(s):  
Yue-Ping Xu ◽  
Suli Pan ◽  
Chao Gao ◽  
Guangtao Fu ◽  
Yen-Ming Chiang
Keyword(s):  
River Basin ◽  
East China ◽  
Pan Evaporation ◽  
Qiantang River ◽  
Qiantang River Basin

scholarly journals Evaluation of a multi-site weather generator in simulating precipitation in the Qiantang River Basin, East China

2014 ◽  
Vol 15 (3) ◽  
pp. 219-230 ◽  
Author(s):  
Yue-ping Xu ◽  
Chong Ma ◽  
Su-li Pan ◽  
Qian Zhu ◽  
Qi-hua Ran
Keyword(s):  
River Basin ◽  
Weather Generator ◽  
East China ◽  
Qiantang River ◽  
Qiantang River Basin

Analyses of the impact of climate change on water resources components, drought and wheat yield in semiarid regions: Karkheh River Basin in Iran

2013 ◽  
Vol 28 (4) ◽  
pp. 2018-2032 ◽  
Author(s):  
S. Ashraf Vaghefi ◽  
S. J. Mousavi ◽  
K. C. Abbaspour ◽  
R. Srinivasan ◽  
H. Yang
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
River Basin ◽  
Wheat Yield ◽  
Impact Of Climate Change ◽  
Semiarid Regions ◽  
The Impact ◽  
Karkheh River Basin

Integrated water assessment model for water budgeting under future development scenarios in Qiantang River basin of China

2008 ◽  
Vol 57 (4) ◽  
pp. 369-384 ◽  
Author(s):  
Jianxin Mu ◽  
Shahbaz Khan ◽  
Zhanyi Gao
Keyword(s):  
River Basin ◽  
Future Development ◽  
Assessment Model ◽  
Qiantang River ◽  
Development Scenarios ◽  
Qiantang River Basin ◽  
Water Assessment

Influence of climate change on soil erosion in high mountain area: a case study of upper Heihe river basin

2021 ◽  
Author(s):  
Li Wang ◽  
Fan Zhang ◽  
Guanxing Wang
Keyword(s):  
Climate Change ◽  
Soil Erosion ◽  
River Basin ◽  
Effect Of Temperature ◽  
Heihe River ◽  
High Mountain ◽  
Mountain Area ◽  
Impact Of Climate Change ◽  
High Mountain Area ◽  
The Impact

<p>The impact of climate change on soil erosion is pronounced in high mountain area. In this study, the revised universal soil loss equation (RUSLE) model was improved for better calculation of soil erosion during snowmelt period by integrating a distributed hydrological model in upper Heihe river basin (UHRB). The results showed that the annual average soil erosion rate from 1982 to 2015 in the study area was 8.1 t ha<sup>-1 </sup>yr<sup>-1</sup>, belonging to the light grade. To evaluate the influence of climate change on soil erosion, detrended analysis of precipitation, temperature and NDVI was conducted. It was found that in detrended analysis of precipitation and temperature, the soil erosion of UHRB would decrease 26.5% and 3.0%, respectively. While in detrended analysis of NDVI, soil erosion would increase 9.9%. Compared with precipitation, the effect of temperature on total soil erosion was not significant, but the detrended analysis of temperature showed that the effect of temperature on soil erosion during snowmelt period can reach 70%. These finding were helpful for better understanding of the impact of climate change on soil erosion and provide a scientific basis for soil management in high mountain area under climate change in the future.</p>

Impact of Climate Change on Water with Reference to the Ganges–Brahmaputra–Meghna River Basin

2017 ◽  
pp. 121-160 ◽  
Author(s):  
M.A. Islam ◽  
S.L. Islam ◽  
A. Hassan
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Impact Of Climate Change ◽  
The Ganges

Impact of climate change on streamflow and water quality in the upper Dong Nai river basin, Vietnam

2018 ◽  
pp. 70-79 ◽  
Author(s):  
Le Viet Thang ◽  
Dao Nguyen Khoi ◽  
Ho Long Phi
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
River Basin ◽  
Sediment Load ◽  
Swat Model ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Nutrient Load ◽  
Impact Of Climate Change ◽  
The Impact

In this study, we investigated the impact of climate change on streamflow and water quality (TSS, T-N, and T-P loads) in the upper Dong Nai River Basin using the Soil and Water Assessment Tool (SWAT) hydrological model. The calibration and validation results indicated that the SWAT model is a reasonable tool for simulating streamflow and water quality for this basin. Based on the well-calibrated SWAT model, the responses of streamflow, sediment load, and nutrient load to climate change were simulated. Climate change scenarios (RCP 4.5 and RCP 8.5) were developed from five GCM simulations (CanESM2, CNRM-CM5, HadGEM2-AO, IPSL-CM5A-LR, and MPI-ESM-MR) using the delta change method. The results indicated that climate in the study area would become warmer and wetter in the future. Climate change leads to increases in streamflow, sediment load, T-N load, and T-P load. Besides that, the impacts of climate change would exacerbate serious problems related to water shortage in the dry season and soil erosion and degradation in the wet season. In addition, it is indicated that changes in sediment yield and nutrient load due to climate change are larger than the corresponding changes in streamflow.

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