Outburst Flooding of the Moraine-Dammed Zhuonai Lake on Tibetan Plateau: Causes and Impacts

Liu, Baokang; Du, Yongsheng; Li, Lin; Feng, Qisheng; Xie, Hongjie; Liang, Tiangang; Hou, Fujiang; Ren, Jizhou

doi:10.1109/lgrs.2016.2525778

Cited by 35 publications

(20 citation statements)

References 9 publications

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“…Meanwhile, 9 islands were formed in the eastern, western and southern parts of the lake and the largest one had an area of 0.53 km 2 . The area of Salt Lake increased to 151.38 km 2 on October 27, 2015, which was consistent with the interpretation result based on HJ1A/B remote sensing images (Liu et al, 2016). The variation trend of reservoir capacity of the Salt Lake was same as that of its area during the period of 2010-2015 (Table 1).…”

Section: Spatiotemporal Variations Of the Salt Lake From 2010 To 2015supporting

confidence: 87%

“…On the consideration of interception of the Kusai Lake and the Haiding Nor on the overflowing water from the Huiten Nor (the areas of the Kusai Lake and the Haiding Nor actually increased after the outburst of the Huiten Nor) (Yao et al, 2012), the outburst flood amount of the Huiten Nor would exceed the value estimated by Yang (2015). As mentioned above, the Salt Lake turned to a situation of relatively slow expansion after April 12, 2013, for example, the lake undergone small variations from September 5, 2013 to September 30, 2015 and had a steady area of about 161 km 2 (Liu et al, 2016). It implied the rapid area increase of the Salt Lake caused by the Huiten Nor outburst flood terminated and the Salt Lake would be supplied by the surface runoff in the basin.…”

Section: Spatiotemporal Variations Of the Salt Lake From 2010 To 2015mentioning

confidence: 93%

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Overflow probability of the Salt Lake in Hoh Xil Region

et al. 2018

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After the bursting of Huiten Nor in Hoh Xil Region in September, 2011, the topic on whether the water overflowed from the Salt Lake would enter into the Chumaer River and become the northernmost source of the Yangtze River has aroused wide concern from public and academic field. Based on Landsat TM/ETM+/OLI remote sensing images during 2010-2015, SRTM 1 arc-second data, Google Earth elevation data and the observation data from the Wudaoliang meteorological station, the study initially analyzed the variations of the Salt Lake and its overflowing condition and probability. The results showed that the area of the Salt Lake expanded sharply from October 2011 to April 2013, and then it stepped into a stable expansion period. On October 27, 2015, the area of the Salt Lake had arrived at 151.38 km 2 , which was about 3.35 times the area of the lake on March 3, 2010. The Salt Lake will overflow when its area reaches the range from 218.90 km 2 to 220.63 km 2. Due to the differences between SRTM DEM and Google Earth elevation data, the water level of the Salt Lake simulated would be 12 m or 9.6 m higher than the current level when the lake overflowed, and its reservoir capacity would increase by 23.71 km 3 or 17.27 km 3 , respectively. Meanwhile, the overflowed water of the Salt Lake would run into the Qingshui River basin from its eastern part. Although the Salt Lake does not overflow in the coming decade, with watershed expansion of the Salt Lake and the projected precipitation increase in Hoh Xil region, the probability of water overflow from the Salt Lake and becoming a tributary of the Yangtze River will exist in the long term.

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Section: Spatiotemporal Variations Of the Salt Lake From 2010 To 2015supporting

confidence: 87%

Section: Spatiotemporal Variations Of the Salt Lake From 2010 To 2015mentioning

confidence: 93%

Overflow probability of the Salt Lake in Hoh Xil Region

et al. 2018

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“…where Δ denotes the water storage change from time (t1) with lake area (A 1 ) and water level (L 1 ) to time (t2) with lake area (A 2 ) and water level (L 2 ). The proposed approach using DEM hypsometry was applied to estimate volume variations in all studied lakes except Zhuonai Lake (35.55 • N, 91.94 • E) because there was a drastic decline in its water level caused by a moraine dam failure in September of 2011 [40]. The DEM hypsometry for Zhuonai Lake was, thus, extended by an additional pair of water area and level after the dam failure observed by Landsat 5 imagery and Croysat-2 altimetry, respectively, in order to reduce the error from directly extrapolating the DEM hypsometry.…”

Section: Calculating Lake Volume Changesmentioning

confidence: 99%

Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium

Yao

Wang

Yang

et al. 2018

Environ. Res. Lett.

121

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“…The OLI and CCD data were both processed using ENVI 5.0 software, and the Radiometric Calibration module, the Image to Image module in the registration and the FLAASH Atmospheric Correction module were used for converting the original DN value to atmospheric surface reflectance, precise geometric correction and atmospheric correction of OLI and CCD images, respectively. The image projection was defined as WGS_1984_UTM_ZONE_47N [26]. Then, the Band Math module was used to calculate the NDVI values for the Landsat 8 OLI and HJ-1B CCD images.…”

Section: Data Processing Of Landsat 8 Oli and Hj-1b Ccd And Calculatimentioning

confidence: 99%

Evaluation of Remote Sensing Inversion Error for the Above-Ground Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite Data

Meng

Liang

et al. 2017

Remote Sensing

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It is not yet clear whether there is any difference in using remote sensing data of different spatial resolutions and filtering methods to improve the above-ground biomass (AGB) estimation accuracy of alpine meadow grassland. In this study, field measurements of AGB and spectral data at Sangke Town, Gansu Province, China, in three years (2013)(2014)(2015) are combined to construct AGB estimation models of alpine meadow grassland based on these different remotely-sensed NDVI data: MODIS, HJ-1B CCD of China and Landsat 8 OLI (denoted as NDVI MOD , NDVI CCD and NDVI OLI , respectively). This study aims to investigate the estimation errors of AGB from the three satellite sensors, to examine the influence of different filtering methods on MODIS NDVI for the estimation accuracy of AGB and to evaluate the feasibility of large-scale models applied to a small area. The results showed that: (1) filtering the MODIS NDVI using the Savitzky-Golay (SG), logistic and Gaussian approaches can reduce the AGB estimation error; in particular, the SG method performs the best, with the smallest errors at both the sample plot scale (250 m × 250 m) and the entire study area (33.9% and 34.9%, respectively); (2) the optimum estimation model of grassland AGB in the study area is the exponential model based on NDVI OLI , with estimation errors of 29.1% and 30.7% at the sample plot and the study area scales, respectively; and (3) the estimation errors of grassland AGB models previously constructed at different spatial scales (the Tibetan Plateau, Gannan Prefecture and Xiahe County) are higher than those directly constructed based on the small area of this study by 11.9%-36.4% and 5.3%-29.6% at the sample plot and study area scales, respectively. This study presents an improved monitoring algorithm of alpine natural grassland AGB estimation and provides a clear direction for future improvement of the grassland AGB estimation and grassland productivity from remote sensing technology.

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Outburst Flooding of the Moraine-Dammed Zhuonai Lake on Tibetan Plateau: Causes and Impacts

Cited by 35 publications

References 9 publications

Overflow probability of the Salt Lake in Hoh Xil Region

Overflow probability of the Salt Lake in Hoh Xil Region

Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium

Evaluation of Remote Sensing Inversion Error for the Above-Ground Biomass of Alpine Meadow Grassland Based on Multi-Source Satellite Data

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