Satellite-based drought assessment in the endorheic basin of Lake Balkhash

被引:1
|
作者
Yegizbayeva, Asset [1 ,2 ]
Koshim, Asyma G. [1 ]
Bekmuhamedov, Nurlan [2 ]
Aliaskarov, Duman T. [3 ]
Alimzhanova, Nazira [4 ]
Aitekeyeva, Nurgul [2 ]
机构
[1] Al Farabi Kazakh Natl Univ, Dept Cartog & Geoinformat, Alma Ata, Kazakhstan
[2] Natl Ctr Space Res & Technol, Dept Earth Remote Sensing, Alma Ata, Kazakhstan
[3] Abai Kazakh Natl Pedag Univ, Inst Nat Sci & Geog, Dept Geog & Ecol, Alma Ata, Kazakhstan
[4] Asian Inst Technol, Dept Remote Sensing & GIS, Pathum Thani, Thailand
关键词
drought conditions; vegetation health index (VHI); hydrological parameters; Balkhash lake basin; Central Asia; CENTRAL-ASIA; VEGETATION INDEX; CLIMATE-CHANGE; TIME-SERIES; TEMPERATURE; PRECIPITATION; VARIABILITY; TRENDS; CHINA; WATER;
D O I
10.3389/fenvs.2023.1291993
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Introduction: This study investigates into the drought-prone region of the Lake Balkhash basin, conducting a thorough analysis spanning 2 decades, emphasizing its significant impact on agriculture and water challenges in Central Asia. Beyond the specific focus on this region, the research aims to contribute valuable insights that extend our understanding of the broader implications of drought in the area.Methods: Utilizing MODIS satellite imagery, the study employs the Vegetation Health Index a comprehensive indicator combining the Vegetation Condition Index and Temperature Condition Index ranging from 0 (extreme aridity) to 100 (optimal moisture). The assessment of drought conditions from 2000 to 2020 includes probabilistic mapping, trend analysis, and Pearson's correlation coefficients. Connections with hydrological factors, such as river water levels and the Balkhash Lake area, are explored, along with in-depth analyses of land use data and the GRACE dataset on water equivalent thickness, enhancing the study's depth and reliability.Results: Drought affected approximately 44% of the Balkhash Lake Basin during the study period, impacting both Kazakhstan and China. Severe drought episodes occurred in 2000, 2008, 2014, and 2015, highlighting the region's vulnerability. Analysis of drought trends revealed diverse patterns: 23% exhibited an increase, 17% showed a decrease, and 60% remained stable. Correlations between drought and hydrological parameters varied among stations, with positive correlations at Kapshagay and Shelek Stations, a weak correlation at Ayagoz Station, and a significant positive correlation at Lepsy despite the elevation.Discussion: This research underscores the intricate link between drought and hydrological factors in the Balkhash Lake Basin, emphasizing the need for precise water resource management and climate adaptation. Crucial strategies include proactive monitoring, tailored interventions, and the application of probabilistic drought mapping to enhance water supply management, contributing actionable insights for sustainable practices in the region.Conclusion: This study significantly advances our understanding of drought dynamics in the Balkhash Lake Basin, recommending adaptive strategies, site-specific interventions, and sustainable water management. The findings provide a crucial foundation for informed water resource decisions in Central Asia, emphasizing the importance of region-specific approaches to address diverse challenges posed by drought.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Satellite-based monitoring system for assessment of vegetation vulnerability to locust hazard in the River Ili delta (Lake Balkhash, Kazakhstan)
    Propastin, Pavel
    JOURNAL OF APPLIED REMOTE SENSING, 2013, 7
  • [2] Capabilities of Satellite-Based Precipitation to Estimate the Spatiotemporal Variation of Flood/Drought Class in Poyang Lake Basin
    Li, Xianghu
    Zhang, Qi
    Ye, Xuchun
    ADVANCES IN METEOROLOGY, 2013, 2013
  • [3] Satellite-based assessment of agricultural drought in Karnataka state
    Rao, P. P. Nageswara
    Shobha, S. V.
    Ramesh, K. S.
    Somashekhar, R. K.
    PHOTONIRVACHAK-JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2005, 33 (03): : 429 - 434
  • [4] Satellite-based assessment of agricultural drought in Karnataka state
    P. P. Nageswara Rao
    S. V. Shobha
    K. S. Ramesh
    R. K. Somashekhar
    Journal of the Indian Society of Remote Sensing, 2005, 33 (3) : 429 - 434
  • [5] A satellite-based rainfall estimation method for the Lake Victoria basin
    De Marchi, C
    Georgakakos, A
    REMOTE SENSING AND HYDROLOGY 2000, 2001, (267): : 481 - 486
  • [6] Drought Assessment in the Sao Francisco River Basin Using Satellite-Based and Ground-Based Indices
    Paredes-Trejo, Franklin
    Barbosa, Humberto Alves
    Giovannettone, Jason
    Kumar, T. V. Lakshmi
    Thakur, Manoj Kumar
    Buriti, Catarina de Oliveira
    Uzcategui-Briceno, Carlos
    REMOTE SENSING, 2021, 13 (19)
  • [7] A satellite-based rainfall estimation method for the Lake Victoria basin
    De Marchi, C.
    Georgakakos, A.
    IAHS-AISH Publication, 2000, (267): : 481 - 486
  • [8] A Satellite-Based Assessment of the Distribution and Biomass of Submerged Aquatic Vegetation in the Optically Shallow Basin of Lake Biwa
    Yadav, Shweta
    Yoneda, Minoru
    Tamura, Masayuki
    Susaki, Junichi
    Ishikawa, Kanako
    Yamashiki, Yosuke
    REMOTE SENSING, 2017, 9 (09): : 966
  • [9] Agricultural Drought Assessment in East Asia Using Satellite-Based Indices
    Yoon, Dong-Hyun
    Nam, Won-Ho
    Lee, Hee-Jin
    Hong, Eun-Mi
    Feng, Song
    Wardlow, Brian D.
    Tadesse, Tsegaye
    Svoboda, Mark D.
    Hayes, Michael J.
    Kim, Dae-Eui
    REMOTE SENSING, 2020, 12 (03)
  • [10] Satellite-Based Assessment of Meteorological and Agricultural Drought in Mainland Southeast Asia
    Li, Yishan
    Lu, Hui
    Entekhabi, Dara
    Gianotti, Daniel J. Short
    Yang, Kun
    Luo, Caihong
    Feldman, Andrew F.
    Wang, Wei
    Jiang, Ruijie
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 : 6180 - 6189