Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin, India附视频

被引:0
|
作者
Md Masroor [1 ]
Haroon Sajjad [1 ]
Sufia Rehman [1 ]
Roshani Singh [1 ]
Md Hibjur Rahaman [1 ]
Mehebub Sahana [2 ]
Raihan Ahmed [1 ]
Ram Avtar [3 ]
机构
[1] Department of Geography,Faculty of Natural Sciences
[2] School of Environment,Education and Development (SEED),University of Manchester
[3] Graduate School of Environment Earth Science,Hokkaido
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Drought is a natural phenomenon posing severe implications for soil, groundwater and agricultural yield.It has been recognized as one of the most pervasive global change drivers to affect the soil. Soil being a weakly renewable resource takes a long time to form, but it takes no time to degrade. However, the response of soil to drought conditions as soil loss is not manifested in the existing literature. Thus, this study makes a concerted effort to analyze the relationship between drought conditions and soil erosion in the middle sub-basin of the Godavari River in India. MODIS remote sensing data was utilized for driving drought indices during 2000–2019. Firstly, we constricted Temperature condition index(TCI) and Vegetation Condition Index(VCI) from Land Surface Temperature(LST) and Enhanced Vegetation Index(EVI) derived from MODIS data. TCI and VCI were then integrated to determine the Vegetation Health Index(VHI). Revised Universal Soil Loss Equation(RUSLE) was utilized for estimating soil loss. The relationship between drought condition and vegetation was ascertained using the Pearson correlation. Most of the northern and southern watersheds experienced severe drought condition in the sub-basin during2000–2019. The mean frequency of the drought occurrence was 7.95 months. The average soil erosion in the sub-basin was estimated to be 9.88 t ha-1 year-1. A positive relationship was observed between drought indices and soil erosion values(r value being 0.35). However, wide variations were observed in the distribution of spatial correlation. Among various factors, the slope length and steepness were found to be the main drivers of soil erosion in the sub-basin. Thus, the study calls for policy measures to lessen the impact of drought and soil erosion.
引用
收藏
页数:13
相关论文
共 42 条
  • [1] Impact of Drought on Agriculture in the Indo-Gangetic Plain,India[J] Reshmita NATH;Debashis NATH;Qian LI;Wen CHEN;Xuefeng CUI; Advances in Atmospheric Sciences 2017, 03
  • [2] Assessment of soil erosion by RUSLE model using remote sensing and GIS-A case study of Nethravathi Basin[J] B.P.Ganasri;H.Ramesh; Geoscience Frontiers 2016, 06
  • [3] Validation of an agricultural non-point source(AGNPS)pollution model for a catchment in the Jiulong River watershed,China[J] LIU Jianchang~1 ZHANG Luoping~(2,*) ZHANG Yuzhen~3 HONG Huasheng~2 DENG Hongbing~1 1.State Key Laboratory of Urban and Regional Ecology,Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China. 2.State Key Laboratory of Marine Environmental Science,Environmental Science Research Center of Xiamen University,Xiamen 361005,China 3.Fujian
  • [4] Assessment of Intra-Annual and Inter-Annual Variabilities of Soil Erosion in Crete Island (Greece) by Incorporating the Dynamic “Nature” of R and C-Factors in RUSLE Modeling[J] Christos Polykretis;Dimitrios D. Alexakis;Manolis G. Grillakis;Stelios Manoudakis Remote Sensing 2020,
  • [5] Spatial and temporal evaluation of soil erosion in Turkey under climate change scenarios using the Pan-European Soil Erosion Risk Assessment (PESERA) model.[J] Berberoglu Suha;Cilek Ahmet;Kirkby Mike;Irvine Brian;Donmez Cenk Environmental monitoring and assessment 2020,
  • [6] Assessment of the Soil Erosion Response to Land Use and Slope in the Loess Plateau—A Case Study of Jiuyuangou[J] Chenlu Huang;Qinke Yang;Xiayu Cao;Yuru Li Water 2020,
  • [7] Terrestrial ecosystem functioning affected by agricultural management systems: A review[J] Muhammad Sanaullah;Muhammad Usman;Abdul Wakeel;Sardar Alam Cheema;Imran Ashraf;Muhammad Farooq Soil & Tillage Research 2020,
  • [8] A Review of RUSLE Model[J] Kaushik Ghosal;Santasmita Das Bhattacharya Journal of the Indian Society of Remote Sensing 2020,
  • [9] Exploring climate variability and its impact on drought occurrence: Evidence from Godavari Middle sub-basin, India[J] Md Masroor;Sufia Rehman;Ram Avtar;Mehebub Sahana;Raihan Ahmed;Haroon Sajjad Weather and Climate Extremes 2020,
  • [10] A GIS-based assessment of the potential soil erosion and flood hazard zones in Ekiti State, Southwestern Nigeria using integrated RUSLE and HAND models[J] Idowu Ezekiel Olorunfemi;Akinola Adesuji Komolafe;Johnson Toyin Fasinmirin;Ayorinde Akinlabi Olufayo;Samuel Olumide Akande Catena 2020,