Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS

Panday, Dinesh; Maharjan, Bijesh; Chalise, Devraj; Shrestha, Ram Kumar; Twanabasu, Bikesh

doi:10.1371/journal.pone.0206350

Cited by 72 publications

(63 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Average annual rainfall data collected from 40 meteorological stations around the study area were interpolated using the kriging tool in ArcGIS to prepare rainfall and R factor map using Equation 7 [48]. The kriging tool was used because it calculates the best un-biased predictor of values at non-sampled areas [49,50].…”

Section: Rusle Modelmentioning

confidence: 99%

Estimation of Sediment Yield and Maximum Outflow Using the IntErO Model in the Sarada River Basin of Nepal

Chalise

Kumar

Spalević

et al. 2019

Water

Self Cite

View full text Add to dashboard Cite

Soil erosion is a severe environmental problem worldwide as it washes away the fertile topsoil and reduces agricultural production. Nepal, being a hilly country, has significant erosion disputes as well. It is important to cognise the soil erosion processes occurring in a river basin to manage the erosion severity and plan for better soil conservation programs. This paper seeks to calculate the sediment yield and maximum outflow from the Sarada river basin located in the western hills of Nepal using the computer-graphic Intensity of Erosion and Outflow (IntErO) model. Asymmetry coefficient of 0.63 was calculated, which suggests a possibility of large floods to come in the river basin in the future whereas the maximum outflow from the river basin was 1918 m³ s−1. An erosion coefficient value of 0.40 was obtained, which indicates surface erosion of medium strength prevails in the river basin. Similarly, the gross soil loss rate of 10.74 Mg ha−1 year−1 was obtained with the IntErO modeling which compares well with the soil loss from the erosion plot measurements. The IntErO model was used for the very first time to calculate soil erosion rates in the Nepalese hills and has a very good opportunity to be applied in similar river basins.

show abstract

Section: Rusle Modelmentioning

confidence: 99%

Estimation of Sediment Yield and Maximum Outflow Using the IntErO Model in the Sarada River Basin of Nepal

Chalise

Kumar

Spalević

et al. 2019

Water

Self Cite

View full text Add to dashboard Cite

show abstract

“…A GIS software populated with the correct data can help in the organization, interpretation, and communication of environmental data. For example, this particular GIS software has been used to create digital soil mapping, generated by kriging interpolation, in different urban areas [28]. Also, the GIS software was used [29] for comparing spatial interpolation methods in order to estimate the precipitation distribution.…”

Section: Methodsmentioning

confidence: 99%

Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River

Arseni

Voiculescu

Georgescu

et al. 2019

IJGI

View full text Add to dashboard Cite

Bathymetric measurements play an important role in assessing the sedimentation rate, deposition of pollutants, erosion rate, or monitoring of morphological changes in a river, lake, or accumulation basin. In order to create a coherent and continuous digital elevation model (DEM) of a river bed, various data interpolation methods are used, especially when single-beam bathymetric measurements do not cover the entire area and when there are areas which are not measured. Interpolation methods are based on numerical models applied to natural landscapes (e.g., meandering river) by taking into account various morphometric and morphologies and a wide range of scales. Obviously, each interpolation method, used in standard or customised form, yields different results. This study aims at testing four interpolation methods in order to determine the most appropriate method which will give an accurate description of the riverbed, based on single-beam bathymetric measurements. The four interpolation methods selected in the present research are: inverse distance weighting (IDW), radial basis function (RBF) with completely regularized spline (CRS) which uses deterministic interpolation, simple kriging (KRG) which is a geo-statistical method, and Topo to Raster (TopoR), a particular method specifically designed for creating continuous surfaces from various elevation points, contour, or polygon data, suitable for creating surfaces for hydrologic analysis. Digital elevation models (DEM’s) were statistically analyzed and precision and errors were evaluated. The single-beam bathymetric measurements were made on the Siret River, between 0 and 35 km. To check and validate the methods, the experiment was repeated for five randomly selected cross-sections in a 1500 m section of the river. The results were then compared with the data extracted from each elevation model generated with each of the four interpolation methods. Our results show that: 1) TopoR is the most accurate technique, and 2) the two deterministic methods give large errors in bank areas, for the entire river channel and for the particular cross-sections.

show abstract

“…The acquired data were fitted to spherical semivariogram and then interpolated with the ordinary kriging technique in ArcMap. Kriging is a vital tool to estimate values at non-sampled places based on the sampled data [46,47]. It is an interpolation method which approximates the value of a function at a given point as a weighted amount of the function values at the adjacent points [48].…”

Section: Spatial Interpolationmentioning

confidence: 99%

Land use change affects water erosion in the Nepal Himalayas

Chalise

Kumar

2020

PLoS ONE

Self Cite

View full text Add to dashboard Cite

Soil erosion is a global environmental threat, and Land Use Land Cover Changes (LUCC) have significant impacts on it. Nepal, being a mountainous country, has significant soil erosion issues. To examine the effects of LUCC on water erosion, we studied the LUCC in Sarada, Rapti and Thuli Bheri river basins of Nepal during the 1995-2015 period using the Remote Sensing. We calculated the average annual soil loss using the Revised Universal Soil Loss Equation and Geographical Information System. Our results suggest that an increase in the agricultural lands at the expense of bare lands and forests escalated the soil erosion through the years; rates being 5.35, 5.47 and 6.03 t/ha/year in 1995, 2007 and 2015, respectively. Of the different land uses, agricultural land experienced the most erosion, whereas the forests experienced the least erosion. Agricultural lands, particularly those on the steeper slopes, were severely degraded and needed urgent soil and water conservation measures. Our study confirms that the long term LUCC has considerable impacts on soil loss, and these results can be implemented in similar river basins in other parts of the country.

show abstract

Digital soil mapping in the Bara district of Nepal using kriging tool in ArcGIS

Cited by 72 publications

References 67 publications

Estimation of Sediment Yield and Maximum Outflow Using the IntErO Model in the Sarada River Basin of Nepal

Estimation of Sediment Yield and Maximum Outflow Using the IntErO Model in the Sarada River Basin of Nepal

Testing Different Interpolation Methods Based on Single Beam Echosounder River Surveying. Case Study: Siret River

Land use change affects water erosion in the Nepal Himalayas

Contact Info

Product

Resources

About