scholarly journals Impacts of climate change on water resources in the Huaihe River Basin

2018 ◽  
Vol 246 ◽  
pp. 01090
Author(s):  
Wang kai ◽  
Qian mingkai ◽  
Xu shijing ◽  
Liang shuxian ◽  
Chen hongyu ◽  
...  

The Huaihe river basin, located in the transitional area of the humid zone to the semi arid zone, is a subtropical monsoon zone. By analysis of historical observation data, the annual average surface temperature increased by 0.5℃ over the past 50 years. However, the precipitation showed a fluctuation trend. Based on the hydrological and meteorological data of Huaihe River Basin, this paper studies impacts of climate change on water resources in Huaihe basin by using the Xinanjiang monthly hydrological model in conjunction with prediction products of NCAR climate model. The results show that the precipitation in the basin had a fluctuating upward trend under RCP8.5 and RCP4.5 scenarios, and the increase or decrease trend of precipitation in RCP2.6 scenario is not significant. The model predicted that the temperature of the river basin in the 3 scenarios shows significant rising trend from year 2001 to 2100. However, the annual runoff of the Huaihe River Basin shows an increasing trend but not significant from year 2001 to 2100.

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 916 ◽  
Author(s):  
Qing Cao ◽  
Zhenchun Hao ◽  
Feifei Yuan ◽  
Ronny Berndtsson ◽  
Shijie Xu ◽  
...  

In terms of climate change and precipitation, there is large interest in how large-scale climatic features affect regional rainfall amount and rainfall occurrence. Large-scale climate elements need to be downscaled to the regional level for hydrologic applications. Here, a new Nonhomogeneous Hidden Markov Model (NHMM) called the Bayesian-NHMM is presented for downscaling and predicting of multisite daily rainfall during rainy season over the Huaihe River Basin (HRB). The Bayesian-NHMM provides a Bayesian method for parameters estimation. The model avoids the risk to have no solutions for parameter estimation, which often occurs in the traditional NHMM that uses point estimates of parameters. The Bayesian-NHMM accurately captures seasonality and interannual variability of rainfall amount and wet days during the rainy season. The model establishes a link between large-scale meteorological characteristics and local precipitation patterns. It also provides a more stable and efficient method to estimate parameters in the model. These results suggest that prediction of daily precipitation could be improved by the suggested new Bayesian-NHMM method, which can be helpful for water resources management and research on climate change.


Author(s):  
Pan Zhengwei ◽  
Zhou Yuliang ◽  
Wang Jing ◽  
Qiu Yingying

Abstract Water resources system is in a vulnerable situation because of the influence of climate change and changing environment. The adaptation mechanism was discussed through the analysis of the process of passive response, adaptation and even active adjustment of water resources system under changing environment. The adaptability of water resources system can be described as natural resilience (NR) of natural system and artificial adaptation (AA) social (artificial) system. The natural resilience indexes were identified and analyzed from the aspects of water quantity, water quality and water ecology. And the artificial adaptation indexes were identified and analyzed from the aspects of resource, eco-environment, socio-economic and technical factors. On this basis, the index system was constructed in accord with process mechanism of water resources system adaptability. Besides, to address the two-dimension factors of water resources system adaptability, a method of system analysis based on connection numbers-fuzzy risk matrix was proposed based on the theory of risk matrix . The synthesis interval [Apess, Aopt] of water resources system adaptability is obtained, by defining the pessimistic criterion when two-dimension factors meet the evaluation standard at the same time, and the optimistic criterion when either of the two-dimension factors meets evaluation standard. Finally, the case study in the Huaihe River basin in China was carried out. The results show that the adaptability level of water resources system in the Huaihe River basin expressed fluctuating uprising tendency in 2006–2015. The adaptability level is the lowest [1.856, 2.625] in 2009, the highest [2.500, 3.536] in 2015.


2020 ◽  
Vol 8 ◽  
Author(s):  
Hengxin Dong ◽  
Qiangyu Li ◽  
Xiaochen Zhu ◽  
Xinyu Zhang ◽  
Zilu Zhang ◽  
...  

2021 ◽  
Vol 14 (18) ◽  
Author(s):  
Mohammad Ilyas Abro ◽  
Dehua Zhu ◽  
Ehsan Elahi ◽  
Asghar Ali Majidano ◽  
Bhai Khan Solangi

2006 ◽  
Vol 330 (1-2) ◽  
pp. 249-259 ◽  
Author(s):  
Charles A. Lin ◽  
Lei Wen ◽  
Guihua Lu ◽  
Zhiyong Wu ◽  
Jianyun Zhang ◽  
...  

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