Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang

Lakes are the most important water resource in arid and semi-arid regions and are good indicators of climate change. The study of lake expansion and contraction can reveal important information about climate change and regional responses. In this study, MOD09A1 global surface reflectance data of MOD...

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Main Authors: Yang Jin-Ming, Ma Li-Gang, Li Cheng-Zhi, Liu Yang, Ding Jian-li, Yang Sheng-Tian
Format: Article
Language:English
Published: Taylor & Francis Group 2019-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
Online Access:http://dx.doi.org/10.1080/19475705.2018.1531942
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spelling doaj-445ab43c98ea43dcafffdd9f44df82612020-11-25T01:36:21ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132019-01-0110151954310.1080/19475705.2018.15319421531942Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in XinjiangYang Jin-Ming0Ma Li-Gang1Li Cheng-Zhi2Liu Yang3Ding Jian-li4Yang Sheng-Tian5Xinjiang UniversityXinjiang UniversityInstitute of Arid Ecology and Environment, Xinjiang UniversityXinjiang Institute of Ecology and Geography, Chinese Academy of SciencesInstitute of Geology and Mining Engineering, Xinjiang UniversityXinjiang UniversityLakes are the most important water resource in arid and semi-arid regions and are good indicators of climate change. The study of lake expansion and contraction can reveal important information about climate change and regional responses. In this study, MOD09A1 global surface reflectance data of MODIS are used to extract the water areas of 12 main lakes in Xinjiang using a support vector machine method to investigate the temporal-spatial dynamics and driving factors of lake area variations between 2000 and 2017. The results indicate that (1) In general, the Xinjiang lakes exhibited large fluctuations between 2000 and 2017; the area of the lakes shrunk by 16.98 km2/year during 2007–2009 but expanded by 80.67 km2/year after 2010. (2) The changes in the Xinjiang lakes exhibited obvious spatial differences. There were strong fluctuations in the areas of the Tail-end lakes and the K value describing the degree of fluctuation in the lake area was 0.2%. The fluctuations in the areas of the Mountain lakes were more stable with a K value of 0.09% and the area of the Plateau lakes increased every year, with an annual increase of 19.90 km2. (3) The lakes with the larger fluctuations in the area were Ebinur Lake, Manasi Lake, and Barkol Lake, and the range of the areas was 370.85, 276.55, and 61.5 km2, respectively. Because of the regional diversity of Xinjiang, the driving forces that affect the area of the lakes differ in different areas. The main factors affecting the lake area change in the Tail-end lakes are the amount of inflowing water and the water use by agriculture and animal husbandry. The main reason for the stability of the Mountain lakes is the balance between water inflow and outflow. The main factor contributing to the expansion of the Plateau lakes area is the abundant supply of glacier/snow melt water. Overall, the main factor contributing to the expansion of Plateau lakes area is abundant glacier snow melt water supply. On the whole, the main factors affecting the temporal and spatial variation of the lake areas in Xinjiang are precipitation (r = .67, p = .003 < .01), temperature (r = .611, p = .007 < .01), and the increase in cultivated land area (r = −.021, p = .004 < .01).http://dx.doi.org/10.1080/19475705.2018.1531942arid areasupport vector machinelake areadriving forcesremote sensingmodis
collection DOAJ
language English
format Article
sources DOAJ
author Yang Jin-Ming
Ma Li-Gang
Li Cheng-Zhi
Liu Yang
Ding Jian-li
Yang Sheng-Tian
spellingShingle Yang Jin-Ming
Ma Li-Gang
Li Cheng-Zhi
Liu Yang
Ding Jian-li
Yang Sheng-Tian
Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
Geomatics, Natural Hazards & Risk
arid area
support vector machine
lake area
driving forces
remote sensing
modis
author_facet Yang Jin-Ming
Ma Li-Gang
Li Cheng-Zhi
Liu Yang
Ding Jian-li
Yang Sheng-Tian
author_sort Yang Jin-Ming
title Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
title_short Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
title_full Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
title_fullStr Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
title_full_unstemmed Temporal-spatial variations and influencing factors of Lakes in inland arid areas from 2000 to 2017: a case study in Xinjiang
title_sort temporal-spatial variations and influencing factors of lakes in inland arid areas from 2000 to 2017: a case study in xinjiang
publisher Taylor & Francis Group
series Geomatics, Natural Hazards & Risk
issn 1947-5705
1947-5713
publishDate 2019-01-01
description Lakes are the most important water resource in arid and semi-arid regions and are good indicators of climate change. The study of lake expansion and contraction can reveal important information about climate change and regional responses. In this study, MOD09A1 global surface reflectance data of MODIS are used to extract the water areas of 12 main lakes in Xinjiang using a support vector machine method to investigate the temporal-spatial dynamics and driving factors of lake area variations between 2000 and 2017. The results indicate that (1) In general, the Xinjiang lakes exhibited large fluctuations between 2000 and 2017; the area of the lakes shrunk by 16.98 km2/year during 2007–2009 but expanded by 80.67 km2/year after 2010. (2) The changes in the Xinjiang lakes exhibited obvious spatial differences. There were strong fluctuations in the areas of the Tail-end lakes and the K value describing the degree of fluctuation in the lake area was 0.2%. The fluctuations in the areas of the Mountain lakes were more stable with a K value of 0.09% and the area of the Plateau lakes increased every year, with an annual increase of 19.90 km2. (3) The lakes with the larger fluctuations in the area were Ebinur Lake, Manasi Lake, and Barkol Lake, and the range of the areas was 370.85, 276.55, and 61.5 km2, respectively. Because of the regional diversity of Xinjiang, the driving forces that affect the area of the lakes differ in different areas. The main factors affecting the lake area change in the Tail-end lakes are the amount of inflowing water and the water use by agriculture and animal husbandry. The main reason for the stability of the Mountain lakes is the balance between water inflow and outflow. The main factor contributing to the expansion of the Plateau lakes area is the abundant supply of glacier/snow melt water. Overall, the main factor contributing to the expansion of Plateau lakes area is abundant glacier snow melt water supply. On the whole, the main factors affecting the temporal and spatial variation of the lake areas in Xinjiang are precipitation (r = .67, p = .003 < .01), temperature (r = .611, p = .007 < .01), and the increase in cultivated land area (r = −.021, p = .004 < .01).
topic arid area
support vector machine
lake area
driving forces
remote sensing
modis
url http://dx.doi.org/10.1080/19475705.2018.1531942
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