Using the Revised Universal Soil Loss Equation and Global Climate Models (CMIP6) to Predict Potential Soil Erosion Associated with Climate Change in the Talas District, Kazakhstan

被引:3
|
作者
Rakhimova, Moldir [1 ]
Zulpykharov, Kanat [1 ,2 ]
Assylbekova, Aizhan [3 ]
Zhengissova, Nazym [1 ,3 ]
Taukebayev, Omirzhan [1 ,3 ]
机构
[1] Al Farabi Kazakh Natl Univ, Space Technol & Remote Sensing Ctr, Alma Ata 050040, Kazakhstan
[2] Al Farabi Kazakh Natl Univ, Fac Geog & Environm Sci, Dept Geog Land Management & Cadastre, Alma Ata 050040, Kazakhstan
[3] Al Farabi Kazakh Natl Univ, Fac Geog & Environm Sci, Dept Cartog & Geoinformat, Alma Ata 050040, Kazakhstan
关键词
rainfall-runoff erosivity; RUSLE; climate change; GCMs; Talas district; Kazakhstan; RUSLE MODEL; PRECIPITATION PATTERNS; RAINFALL EROSIVITY; RIVER-BASIN; LAND-USE; IMPACTS; GIS; PERFORMANCE; REGION; COVER;
D O I
10.3390/su16020574
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Changes in precipitation patterns, a fundamental aspect of climate change, can significantly impact soil erosion processes. This article aims to evaluate the current state of soil erosion in the Talas area utilizing the Revised Universal Soil Loss Equation (RUSLE). Climate projections for the study were obtained through the CMIP6 Global Climate Model (GCM) and the climatic data were integrated into the RUSLE to simulate potential changes in soil erosion patterns. The mean annual soil erosion rate, observed over the research duration, ranges from 0 to 127 (t y-1). Results indicate that 56.29% of the study area is characterized by a low susceptibility to soil erosion, with an additional 33.56% classified as at moderate risk and 7.36% deemed at high risk of erosion. Furthermore, the evaluation reveals an average increase in precipitation levels compared to the baseline. Models project a rise of 21.4%, 24.2%, and 26.4% by the years 2030, 2050, and 2070, respectively. Concurrently, the study observes a parallel increase in soil loss with precipitation, demonstrating a rise of 34%, 35.5%, and 38.9% for the corresponding time periods. Also, the spatially distributed results show that the southern part of the territory of the Talas region has been impacted by erosion over the past and will also be in the future period. These findings underscore the intricate interplay between climate-induced changes in precipitation and their significant impact on soil erosion. The results provide essential insights for developing targeted soil conservation strategies in the Talas area under evolving climatic conditions.
引用
收藏
页数:20
相关论文
共 50 条
  • [41] Soil erosion modelling using GIS and revised universal soil loss equation approach: a case study of Guna-Tana landscape, Northern Ethiopia
    Asirat Teshome
    Afera Halefom
    Menberu Teshome
    Imran Ahmad
    Yihun Taddele
    Mihret Dananto
    Solomon Demisse
    Peter Szucs
    Modeling Earth Systems and Environment, 2021, 7 : 125 - 134
  • [42] Soil erosion modelling using GIS and revised universal soil loss equation approach: a case study of Guna-Tana landscape, Northern Ethiopia
    Teshome, Asirat
    Halefom, Afera
    Teshome, Menberu
    Ahmad, Imran
    Taddele, Yihun
    Dananto, Mihret
    Demisse, Solomon
    Szucs, Peter
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2021, 7 (01) : 125 - 134
  • [43] Determination of Soil Erosion Risk in the Mustafakemalpasa River Basin, Turkey, Using the Revised Universal Soil Loss Equation, Geographic Information System, and Remote Sensing
    Ozsoy, Gokhan
    Aksoy, Ertugrul
    Dirim, M. Sabri
    Tumsavas, Zeynal
    ENVIRONMENTAL MANAGEMENT, 2012, 50 (04) : 679 - 694
  • [45] Possibility of spatial estimation of soil erosion using Revised Universal Soil Loss Equation model and generalized additive model in post-hard coal mining spoil heap
    Singh, Pranav Dev
    Klamerus-Iwan, Anna
    Hawrylo, Pawel
    Sierka, Edyta
    Pietrzykowski, Marcin
    LAND DEGRADATION & DEVELOPMENT, 2024, 35 (03) : 923 - 935
  • [46] Estimation of soil erosion in indo-gangetic region using revised universal soil loss equation (RUSLE) model and geospatial technology
    Sunil Kumar
    Dharmendra Singh
    Amit Kumar
    Mukesh Kumar
    Kushal Giri
    Kushala Devi
    Sultan Singh
    Modeling Earth Systems and Environment, 2023, 9 : 1251 - 1273
  • [47] WATER EROSION PREDICTION USING THE REVISED UNIVERSAL SOIL LOSS EQUATION (RUSLE) IN A GIS FRAMEWORK, CENTRAL CHILE
    Bonilla, Carlos A.
    Reyes, Jose L.
    Magri, Antoni
    CHILEAN JOURNAL OF AGRICULTURAL RESEARCH, 2010, 70 (01) : 159 - 169
  • [48] Assessment of climate change impact on meteorological variables of Indravati River Basin using SDSM and CMIP6 models
    Challa, Venkateswarlu
    Renganathan, Manjula
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 197 (01)
  • [49] The use of RUSLE and GCMs to predict potential soil erosion associated with climate change in a monsoon-dominated region of eastern India
    Rabin Chakrabortty
    Biswajeet Pradhan
    Prolay Mondal
    Subodh Chandra Pal
    Arabian Journal of Geosciences, 2020, 13
  • [50] Predicting the potential distribution range of Batocera horsfieldi under CMIP6 climate change using the MaxEnt model
    Wei, Xinju
    Xu, Danping
    Liu, Quanwei
    Wu, Yuhan
    Zhuo, Zhihang
    JOURNAL OF ECONOMIC ENTOMOLOGY, 2024, 117 (01) : 187 - 198