Rainfall erosivity factor for India using modified Fourier index

Tiwari, Harinarayan; Pd., Subash; Kumar, Deepak; Sharma, Nayan

doi:10.1080/23249676.2015.1064038

Cited by 23 publications

(7 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For more details on R-factor, the readers may find somewhere in the works earlier researchers (Ninyerola et al 2006, Capolongo et al 2008,Calvo-Alvarado et al 2014. In the present study, the method adopted for R- factor estimation is based on the modified Fourier series obtained by Tiwari et al (2015) as it has more or less provides similar rainfall pattern. Figure 9 shows the resultant probability of R-factor trends for 2020s, 2050s and 2080s in corresponds to current trends.…”

Section: Trend Detectionmentioning

confidence: 84%

Analysis of Climate Parameters Trend over Long Time Horizons and their Probable Impacts in the Beas Basin, H.P., India

2022

IJE

View full text Add to dashboard Cite

The present study aims at investigating the climate parameters trends over long time horizons and their probable impacts in the ecology of Beas basin, Himachal Pradesh (H.P), India. In this study, large scale climate variables are downscaled to local scale meteorological variables. For large scale atmospheric modeling, HaDCM3 General Circulation Model (GCM) is used and downscaling is accomplished through SDSM (Statistical Downscaling Model). To detect monotonic trends and their magnitudes Mann-Kendall and Sen's slope test were employed. The study used a 100-years based period data for A2 (medium to high emission) and B2 (medium to low emission) climate scenarios then an incremental scenarios over wide range climate variables for 2020s (2011-2040), 2050s (2041-2070) and 2080s (2071-2100) were estimated. The important climate variables over the Beas basin considered for the assessment includes precipitations (PPT), maximum temperature (T-max) and minimum temperature (T-min) that covered four locales/districts -Hamirpur, Kullu, Kangra and Mandi of H.P, India. The paper ends with the concluding remarks with future impending trends and their probable impacts.

show abstract

Section: Trend Detectionmentioning

confidence: 84%

Analysis of Climate Parameters Trend over Long Time Horizons and their Probable Impacts in the Beas Basin, H.P., India

2022

IJE

View full text Add to dashboard Cite

show abstract

“…Rainfall erosivity (R‐factor) represents the influence of rainfall on soil erosion. The modified Fourier Index (MFI), which is analogous to rainfall intensity, is used to calculate the R‐factor (Tiwari, Rai, Kumar, & Sharma, 2015). The MFI is the summation of the square of monthly rainfall to its annual rainfall for 1 year (Arnoldus, 1980).…”

Section: Methodsmentioning

confidence: 99%

Post‐tsunami land degradation on a South Asian island: Implications for conservation priorities

2021

View full text Add to dashboard Cite

In recent decades, land degradation has accelerated due to an increase in unsustainable human activities. In a case‐study of the Andaman Islands, located in the South Asian region, changes in land degradation types, soil erosion, and the effect of conservation measures for pre‐ (2000) and post‐2004 tsunami periods (2006, 2019) were recorded using temporal remote sensing data (LANDSAT, RESOURCESAT, CARTOSAT), field observations and a GIS‐based revised universal soil loss equation (RUSLE). The results showed that erosion, leaching, acidification, salinization, and drainage congestion were the major land degradation processes that could be traced to post‐tsunami human activities (R2 = 0.634). The study revealed significant forest cover loss during 2006–2019 (3.76%) compared to 2000–2006 (0.61%), while it revealed increased areas under settlement (14 km2) and mining (22 km2). The annual crop area exhibited a 0.42% loss, whereas the plantation crop area increased by 0.46%, indicating the abandonment of annual crops that resulted in an increased fallow area (21 km2) during the post‐tsunami period. As a consequence, degraded land increased by 2.5% of the total geographical area which was affaected by water erosion (2.3%) and chemical degradation (0.25%). The average erosion rate varied from 0.7 to 108 t ha−1yr−1 in 2000 but increased by 47% during the post‐tsunami period due to mining, settlement, and vegetable cultivation on slopes, as indicated by high cover management, support practice, and slope length factors. Practicing suitable conservation measures can provide a conservation benefit of 105,560 t yr−1 and a reduction in other forms of degradation without compromising the food production area.

show abstract

“…With 31 applications, the equation cited by Tiwari et al (2015), based on the Modified Fournier Index (Arnoldus, 1977(Arnoldus, , 1980 is the most frequently used R factor derivation method. Arnoldus (1977) had developed the equation as-𝑹 = 𝟏.…”

Section: Computations Of the R Factormentioning

confidence: 99%

“…The Eq. 2 has even been used to create a rainfall erosivity map for the entire country (Tiwari et al, 2015). Since such a fundamental error was committed by these studies, further assessment of the units or values derived in them was deemed immaterial.…”

Section: Computations Of the R Factormentioning

confidence: 99%

Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods

Majhi

Shaw

Mallick

et al. 2021

Earth-Science Reviews

View full text Add to dashboard Cite

Rainfall erosivity factor for India using modified Fourier index

Cited by 23 publications

References 24 publications

Analysis of Climate Parameters Trend over Long Time Horizons and their Probable Impacts in the Beas Basin, H.P., India

Analysis of Climate Parameters Trend over Long Time Horizons and their Probable Impacts in the Beas Basin, H.P., India

Post‐tsunami land degradation on a South Asian island: Implications for conservation priorities

Towards improved USLE-based soil erosion modelling in India: A review of prevalent pitfalls and implementation of exemplar methods

Contact Info

Product

Resources

About