Analysis of snowmelt model for flood forecast for water in arid zone: case of Tarim River in Northwest China

2011 ◽  
Vol 66 (5) ◽  
pp. 1423-1429 ◽  
Author(s):  
Mupenzi Jean de la Paix ◽  
Li Lanhai ◽  
Ge Jiwen ◽  
Habumugisha Jean de Dieu ◽  
Nzayisenga Theoneste
2011 ◽  
Vol 64 (10) ◽  
pp. 1973-1979 ◽  
Author(s):  
Mupenzi Jean de la Paix ◽  
Li Lanhai ◽  
Chen Xi ◽  
Achal Varenyam ◽  
Bao Anming

This paper presents the results of the study undertaken at the Tarim River Basin in Northwest China to analyze impacts of flooding on water quality. It was shown that irregular rainfall was the cause of flash floods that affected many ecosystems and eroded soils. Simulation results and the existence of relationships between flood volume and flood peak allowed potential model application that included flood peak estimation. The analysis of water pollution through sample sediment was helped by spectroscopy techniques and it was found that the flood was the main cause of many chemical elements in water. The floods affected the quality of water in the Tarim River where it was slightly basic with pH = 8.1 before flooding and acidic with pH = 6.9 after flooding.


2015 ◽  
Vol 380-381 ◽  
pp. 149-158 ◽  
Author(s):  
Huaijun Wang ◽  
Yaning Chen ◽  
Haijun Deng ◽  
Yingping Pan

2011 ◽  
Vol 65 (6) ◽  
pp. 1807-1820 ◽  
Author(s):  
Jianhua Xu ◽  
Yaning Chen ◽  
Weihong Li ◽  
Lijun Zhang ◽  
Yulian Hong ◽  
...  

2015 ◽  
Vol 7 (4) ◽  
pp. 544-554 ◽  
Author(s):  
Tayierjiang Aishan ◽  
Ümüt Halik ◽  
Florian Betz ◽  
Tashpolat Tiyip ◽  
Jianli Ding ◽  
...  

Ecologies ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 332-344
Author(s):  
Xinfeng Zhao ◽  
Tao Lin ◽  
Hailiang Xu ◽  
Ai Shajiang Aili ◽  
Wanyu Zhao ◽  
...  

To examine the variation in water and vegetation coverage areas, the groundwater level and plant diversity in the terminal lake of the Tarim River, northwest China, both the monitoring data of a field survey consisting of surface samples and remote sensing data for 20 years (2000–2019) were analyzed by using field survey and indoor remote sensing methods. The results showed that (1): from 2000 to 2019, water and vegetation areas increased significantly, especially the trend of vegetation areas becoming more significant, with an average annual increase of 13.9 km2/a; (2): the plant diversity increased first and then decreased; the species richness and Pielou index in the study area were 9.0 and 0.80 in 2005, but only 2.00 and 0.08 in 2000, respectively; species composition tends to be simplified; (3): with the increase in the lake area, the groundwater level showed an up-lifted trend; the correlation between the two was significant, but there was a lag in the response of the groundwater level.


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