Recent advances in assessment of soil erosion vulnerability in a watershed

被引:61
|
作者
Pandey, Shachi [1 ]
Kumar, Parmanand [1 ]
Zlatic, Miodrag [2 ]
Nautiyal, Raman [3 ]
Panwar, Vijender Pal [1 ]
机构
[1] Forest Res Inst, Forest Ecol & Climate Change Div, Dehra Dun, Uttarakhand, India
[2] Univ Belgrade, Fac Forestry, Belgrade, Serbia
[3] Indian Council Forestry Res & Educ, Dehra Dun, Uttarakhand, India
关键词
Soil erosion vulnerability; RUSLE; MCDM; SYSTEME HYDROLOGIQUE EUROPEEN; LOSS EQUATION RUSLE; SEDIMENT YIELD; LAND-USE; RIVER-BASIN; RISK-ASSESSMENT; DRAINAGE-BASIN; EUROSEM MODEL; GIS FRAMEWORK; FUZZY-LOGIC;
D O I
10.1016/j.iswcr.2021.03.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Soil erosion is one of the most critical hazards adversely affecting both environment and economy. Assessment of the annual soil erosion rate provides information on soil erosion risk zones indicating the areas with high, severe and low risks. Modelling and prediction of soil erosion has a long history of more than seven decades. It becomes imperative to be familiar with the quantum of studies conducted and methods employed across the world to assess vulnerability of ecosystems to soil erosion to plan strategies for their conservation. There are several methods based on various factors like land use, soil quality, topography etc. available to assess the susceptibility of a region to soil loss. With time the gap in understanding of such models and their use around the world has increased. Numerous models for assessing soil erosion exist but there is a lack of knowledge on spatial distribution of the methods being used. Academic papers related to assessment of soil erosion vulnerability published during the past three decades (1991-2019) were reviewed. Total 160 studies were reviewed to understand advances in the methods used to assess soil erosion vulnerability worldwide, identification of the most popular methods and proportion of studies conducted in the fragile region of Himalayas. The results show that 18 different methods have mainly been used to assess soil erosion risk in different regions. These methods include statistical, physical, process based and empirical models. The use of few physical methods like ANSWERS and SHE has decreased with time while that of physical and process methods like RUSLE, SWAT, WEPP and PESERA has increased with time. The review highlighted that various models being used worldwide are based on their suitability to the region. It also brings to attention that few models like PESERA, EUROSEM and WEPP are mostly being used concentrated in a particular region. Models like PESERA and EPM are mostly used in European region and may be encouraged to estimate soil erosion in Himalayan region. The review also highlights lack of studies with inclusion of water quality as an important parameter while assessing soil erosion vulnerability in the region. The review suggests that in case of lack of data, various statistical methods like PCA, CF, FUZZY etc. can be preferred for qualitative assessment over quantitative assessment. Considering availability of accurate input, researchers need to attempt more methods and perform comparative studies to attain accurate results for assessing soil erosion vulnerability leading to strategizing soil conservation in fragile regions. (C) 2021 International Research and Training Center on Erosion and Sedimentation, China Water & Power Press. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd.
引用
收藏
页码:305 / 318
页数:14
相关论文
共 50 条
  • [21] Assessment of vulnerability to soil erosion in Poyang Lake ecological economic zone
    Chen, Ping
    Wang, Xingling
    Chen, Xiaoling
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2012, 37 (06): : 750 - 755
  • [22] Soil erosion assessment for prioritizing soil and water conservation interventions in Gotu watershed, Northeastern Ethiopia
    Abro, Tesfaye Wasihun
    Debie, Ermias
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (11)
  • [23] Soil erosion assessment of small watershed in Loess Plateau based on GIS and RUSLE
    Qin, Wei
    Zhu, Qingke
    Zhang, Yan
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2009, 25 (08): : 157 - 163
  • [24] Recent advances in assessment on clear water, soil and air
    Ashrafi, Muhammad Aqeel
    Hanfiah, Marlia Mohd
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 24 (29) : 22753 - 22754
  • [25] Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach
    Mehwish, Mehwish
    Nasir, Muhammad Jamal
    Raziq, Abdur
    Al-Quraishi, Ayad M. Fadhil
    Ghaib, Fadhil Ali
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2024, 196 (01)
  • [26] Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach
    Mehwish Mehwish
    Muhammad Jamal Nasir
    Abdur Raziq
    Ayad M. Fadhil Al-Quraishi
    Fadhil Ali Ghaib
    Environmental Monitoring and Assessment, 2024, 196
  • [27] An assessment of soil erosion probability and erosion rate in a tropical mountainous watershed using remote sensing and GIS
    H. Vijith
    M. Suma
    V. B. Rekha
    C. Shiju
    P. G. Rejith
    Arabian Journal of Geosciences, 2012, 5 : 797 - 805
  • [28] Remote Sensing and GIS based soil erosion assessment from an agricultural watershed
    Patil, R. J.
    Sharma, S. K.
    Tignath, S.
    ARABIAN JOURNAL OF GEOSCIENCES, 2015, 8 (09) : 6967 - 6984
  • [29] Assessment of Changes in Soil Erosion Risk Using RUSLE in Navrood Watershed, Iran
    Asadi, H.
    Honarmand, M.
    Vazifedoust, M.
    Mousavi, A.
    JOURNAL OF AGRICULTURAL SCIENCE AND TECHNOLOGY, 2017, 19 (01): : 231 - 244
  • [30] Recent advances in assessment on clear water, soil and air
    Muhammad Aqeel Ashraf
    Marlia Mohd Hanfiah
    Environmental Science and Pollution Research, 2017, 24 : 22753 - 22754