Influence of land use activities on predicted soil loss in a semi-arid river basin

被引：0

作者：

Singh, Vikram Gaurav ^{[1
]}

Kumar, Nirmal ^{[1
]}

Acharki, Siham ^{[2
]}

Singh, Sudhir Kumar ^{[1
]}

Kulimushi, Luc Cimusa ^{[3
]}

Olusola, Adeyemi Oludapo ^{[4
]}

Choudhari, Pandurang ^{[5
]}

Rawat, Kishan Singh ^{[6
]}

Jodhani, Keval H. ^{[7
]}

Gupta, Nitesh ^{[7
]}

Omar, Padam Jee ^{[8
]}

机构：

[1] Univ Allahabad, K Banerjee Ctr Atmospher & Ocean Studies, Prayagraj, India

[2] Mohammed VI Polytech Univ UM6P, Ctr Remote Sensing Applicat CRSA, Benguerir 43150, Morocco

[3] Univ Catholique Bukavu, Fac Agron, Bukavu, DEM REP CONGO

[4] York Univ, Fac Environm & Urban Change, Toronto, ON M3J 1P3, Canada

[5] Univ Mumbai, Dept Geog, Mumbai, India

[6] Graph Era, Geoinformat Civil Engn Dept, Dehra Dun 248002, Uttrakhand, India

[7] Nirma Univ, Inst Technol, Dept Civil Engn, Ahmadabad 382481, Gujarat, India

[8] Babasaheb Bhimrao Ambedkar Univ, Dept Civil Engn, UIET, Lucknow 226025, India

来源：

JOURNAL OF HYDROINFORMATICS | 2025年 / 27卷 / 02期

关键词：

C-factor; land use modeling; LS-factor; RUSLE; SRTM; FACTOR LS-FACTOR; EROSION CONTROL; WATER EROSION; SLOPE LENGTH; MODEL; INDIA;

D O I：

10.2166/hydro.2025.216

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Soil loss due to land transformations is a serious issue confronting the globe nowadays. The research's main focus was to predict future land use and land cover (LULC) and quantify soil loss, which is exacerbated by excessive rainfall following uneven topography, intensive agriculture, and a lack of adequate watershed management strategies. The Landsat satellite data were classified using maximum likelihood algorithm, and future LULC (2030 and 2040) was quantified using TerrSet Land Change Modeler through Markov Chain Model. In addition, the RUSLE was applied to estimate soil loss based on LULC data from various years, and the results were evaluated using sediment observation data. In this research, the LS-factor has been quantified by employing open-source digital elevation models (DEMs) (SRTM, ASTER, MERIT, AW3D30, NASADEM, CARTOSAT, and TanDEM-X). Furthermore, hypsometry analysis was carried out to assess erosion vulnerability at the sub-watershed. The results showed that SRTM 30-m DEM-based soil loss corresponds to observation. Moreover, soil loss is estimated at 16.55 t/ha/year for 2015, whereas future soil loss may be reduced to 14.51 and 14.46 t/ha/year in 2030 and 2040, respectively.

引用

页码：211 / 227

页数：17

共 79 条

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