Run‐off affected by climate and anthropogenic changes in a large semi‐arid river basin

2020 ◽  
Vol 34 (8) ◽  
pp. 1906-1919
Author(s):  
Xiaonan Yang ◽  
Wenyi Sun ◽  
Xingmin Mu ◽  
Peng Gao ◽  
Guangju Zhao
2013 ◽  
Vol 7 (2) ◽  
pp. 182-192 ◽  
Author(s):  
P. Luo ◽  
K. Takara ◽  
Apip ◽  
B. He ◽  
D. Nover
Keyword(s):  

2020 ◽  
pp. 104799
Author(s):  
Sachintha Senarathne ◽  
J.M.C.K. Jayawardana ◽  
E.A.N.V. Edirisinghe ◽  
Rohana Chandrajith

1987 ◽  
Vol 9 ◽  
pp. 225-228
Author(s):  
Zeng Qunzhi ◽  
Zhang Shunying ◽  
Chen Xianzhang ◽  
Wang Jian

The images of NOAA/TIROS-N APT, AVHRR and a few Landsat MSS obtained from 1980 to 1985 are analysed in this paper. It is found that the snow-cover distribution in Qilian Mountains is above 3700 m a.s.l. during winter to spring every year. There are two concentrations of snow cover. One is on Mount Leng Longling in the upper reaches of the Shiyang River and the other is located between Hala Lake and Mount Danghe Nanshan.Based on preliminary investigations, it is known that the surface water resource in the Hexi region is 68 8 × 108 m3, of which about 24.8% is from glaciers and melting, and the snow-melt run-off is 7.63 × 108 m3, equal to 62.6% of the total amount of spring run-off.The average value of Cv for spring run-off in the Shiyang River, Heihe River, and Shule River is 0 32 and the Cv value of snow-melt run-off in spring is 0.41, about three times as much as that of the annual run-off in the Hexi, region. A prediction model of spring snow-melt run-off at the Ying Louxia Hydrometric station in the Heihe River area can be constructed by using hydrometeorological data and snow-cover percentage for the Heihe River basin obtained from NOAA/TIROS-N APT, and AVHRR images. The prediction models (2) and (3) have been tested by the Water Resources Management Office of the Heihe River basin in the Zhangye and Flood Prevention Office of Gansu Province. The prediction accuracy is suitable for demands.


Author(s):  
Esdras Adriano Barbosa dos Santos ◽  
Tatijana Stosic ◽  
Ikaro Daniel de Carvalho Barreto ◽  
Laélia Campos ◽  
Antonio Samuel Alves da Silva

This work evaluated dry and rainy conditions in the subregions of the São Francisco River Basin (BHSF) using the Standardized Precipitation Index (SPI) and Markov chains. Each subregion of the BHSF has specific physical and climatic characteristics. The data was obtained from the National Water Agency (ANA), collected by four pluviometric stations (representative of each subregion), covering 46 years of data, from 1970 to 2015. The SPI was calculated for the time scales of six and twelve months and transition probabilities were obtained using the Markov chain. Transition matrices showed that, at both scales, if the climate conditions were severe drought or rainy, switching to another class would be unlikely in the short term.  Correlating this information with the probabilities of the stationary distribution, it was possible to find the regions that are most likely to be under rainy or dry weather in the future. The recurrence times calculated for the stations that belong to the semi-arid region were smaller when compared to the value of the return period of the representative station of Upper São Francisco that has higher levels of precipitation, confirming the predisposition of the semi-arid region to present greater chances of future periods of drought.


2019 ◽  
Vol 78 (5) ◽  
Author(s):  
Héctor M. Guzmán ◽  
Agustín Gómez-Álvarez ◽  
Jesús L. Valenzuela-García ◽  
Martín A. Encinas-Romero ◽  
Arturo I. Villalba-Atondo ◽  
...  

Author(s):  
Asif M. BHATTI ◽  
Toshio KOIKE ◽  
Patricia Ann JARANILLA-SANCHEZ ◽  
Mohamed RASMY ◽  
Kohei YOSHIMURA ◽  
...  

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