A Geospatial- Statistical Approach to Alienate Priority Area of Upper Watershed of River Subarnarekha Using Morphometric Assessment Framework

Kumar, Pipas; Joshi, Varun

doi:10.26480/mjg.01.2019.21.31

Cited by 8 publications

(7 citation statements)

References 15 publications

(15 reference statements)

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“…Correlation analysis is the relation between parameters. Its values vary between -1 to 1, the closer a value is to -1 it is strongly inversely correlated, while a value closer to +1 shows a strong direct relationship between parameters (Kumar & Joshi, 2019). The correlation analysis of seasonal water and soil quality parameters was done to find the relation between the parameters (Meliho et al, 2018).…”

Section: Correlation Analysismentioning

confidence: 99%

Water induced surface erosion risk assessment in Jumar agricultural watershed, Jharkhand, India using multivariate statistics and GIS

Pandey¹,

Kumari²

2023

Preprint

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The state of Jharkhand suffers immensely from water-induced surface erosion causing loss of socio-economic Jumar watershed of Ranchi district, Jharkhand was selected for a study period of 2020 and 2021 to analyse climate change, seasonal change in quality of water and soil resources, hydro-geomorphometry and land cover land use (LULC) using GIS and multivariate statistics. The water quality analysis revealed the presence of higher content of presence of metals such as Ca, Mg, K, and Na, higher alkalinity, TDS, and turbidity in monsoon and post-monsoon months of 2021. The soil quality analysis showed that the region has excessive carbonate salts with dominant presence of metal such as calcium, magnesium and sodium, disturbing the soil structure and lowering its infiltration capacity, promoting nutrient deficiencies, and leading to possible metal contamination in few years. Lack of vegetation covers adds to surface erosion under high intensity rainfall (1685-2083mm). The correlation analysis was done seasonally for both soil and water quality revealing the strong influence of metal ions with pH, alkalinity, salinity, and TDS, showing a prominent silicate weathering and ion exchange process indicating prominent surface erosion in watershed. The PCA on water and soil quality data showed that salinity, TDS, Alkalinity, Hardness and EC are the principal components. The morphometric study showed that the Jumar watershed has rolling and slightly undulating terrain, with mild slope and dendritic stream pattern of 4th order stream. Low basin relief and drainage density, compactness constant (0.00192), Ruggedness number (0.0609), and basin relief ratio (0.00552) indicated the dominance of low stream orders (1st ) in the area pointing to low potential energy in surface flow. The hydrological indices indicated that the watershed is low risk of gully formation in lowlands. Through the application of other GIS based rainfall, LULC and spectral indices (NDMI, MSI, SAVI and BSI) it was found that there has been a huge increase in urbanization, barren land, sparse vegetation cover, and immense water stress especially in summer and winter season of 2020 and 2021 in the watershed. The Lack of water conservation and traditional agriculture using agrochemicals is very prominent in the watershed, hence an immediate need for water and soil quality management is required.

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Section: Correlation Analysismentioning

confidence: 99%

Water induced surface erosion risk assessment in Jumar agricultural watershed, Jharkhand, India using multivariate statistics and GIS

Pandey¹,

Kumari²

2023

Preprint

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“…Conservation of top fertile soil and soil moisture, improvement in soil nutrient status, and creation of additional In the present study, prioritization of sub-watersheds were carried out considering the average annual soil loss, major land use, soil texture, and slope of different sub-watersheds. Weight scores in 1-5 point scale was assigned to different categories of soil erosion classes, major land use type, and slope based on experts' options and past studies (Kumar and Joshi 2019;Malik et al 2019) (Table 7). Ranks for prioritization of sub-watersheds were assigned to different subwatersheds based on weight scores assigned on the basis of average annual soil loss, major land use, soil, and slope.…”

Section: Prioritization Of Sub-watershedsmentioning

confidence: 99%

Sediment yield prediction and prioritization of sub-watersheds in the Upper Subarnarekha basin (India) using SWAT

et al. 2021

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The present study deals with the estimation of soil loss from the Upper Subarnarekha catchment in Odisha (India) using Soil and Water Assessment Tool (SWAT). Sequential uncertainty fitting (SUFI-2) algorithm of the SWAT calibration uncertainty programs (SWAT-CUP) was used for model simulation. The model was calibrated with the observed data for the period from 1996 to 2008 with first 3 years (1996)(1997)(1998) as warm-up period. Further, validation of the model was done using 5-year data from 2009 to 2013. Reliable evaluation of the model performance during calibration has been substantiated by the coefficient of determination (R 2 ), Nash-Sutcliffe efficiency (NSE), and percentage bias (PBIAS) as 0.81, 0.81, and −0.15, respectively, and the respective values for the validated model were found to be 0.79, 0.78, and −0.19. The values of P-factor and R-factor were found to be 0.80 and 0.75 and 0.66 and 0.74, respectively, for model calibration and validation. Average annual soil loss from the catchment was 4.84 Mg ha −1 . The watershed indexed as SW18 resulted in highest soil loss in the range of 10-15 Mg ha −1 year −1 . Further, prioritization was done at the level of sub-watersheds using the data of simulated sediment yield, soil texture, land use, and slope for identifying vulnerable sub-watersheds that need immediate attention. The study inferred that sub-watersheds having index numbers SW17, SW18, and SW19 are highly vulnerable, and hence top priority should be given to these sub-watersheds for reduction in soil erosion through the implementation of suitable soil and water conservation measures.

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“…Examining the geohydrological characteristics using parameters such as linear, areal, and relief aspects reveals the importance of morphometric indices (Kumar & Joshi, 2019). Because these indices are hydrologically related to factors such as surface runoff, peak discharge, and lag time, directly.…”

Section: Potential Flood Prioritization Of Watershedsmentioning

confidence: 99%

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

Utlu

Ghasemlounia

2021

Jeomorfolojik Araştırmalar Dergisi

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Drainage watershed morphometry plays a major role in terms of understanding flood dynamics. Flood potentials are explained considering the linear, areal, and relief morphometry features of the watersheds. In general, there are number of geomorphometric indices in the description of these features. The formal geometries, geomorphology, geology, and general climate characteristics, etc., which play a decisive role in the flood potential in the watershed, can be determined relatively with morphometric indices. In this study, 35 different river watersheds draining their waters to the Aras, located in the center of Iğdır Province, were examined. Geographic information systems (GIS) and statistical software were chosen to analyze and calculate indices for this research. Flood events occur in these 35 different river watersheds and this study evaluates river watersheds in terms of their flood potential using 14 different indices. In the evaluation of the results obtained, the values that have a high impact on the floods are ranked according to their priorities. These results were evaluated in terms of flood priorities using morphometric analysis and principal component analysis methods. Flood priorities of watersheds, obtained through two different methods, are classified as high, medium, or low priorities. The number of common watersheds, determined based on two different methods, is 8 in river watersheds with "high" priority, 11 in river watersheds with "medium" priority, and 7 in river watersheds with "low" priority. According to these results, it is seen that river watersheds with high priority flood potential correspond to the areas where flood events occurred.

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A Geospatial- Statistical Approach to Alienate Priority Area of Upper Watershed of River Subarnarekha Using Morphometric Assessment Framework

Cited by 8 publications

References 15 publications

Water induced surface erosion risk assessment in Jumar agricultural watershed, Jharkhand, India using multivariate statistics and GIS

Water induced surface erosion risk assessment in Jumar agricultural watershed, Jharkhand, India using multivariate statistics and GIS

Sediment yield prediction and prioritization of sub-watersheds in the Upper Subarnarekha basin (India) using SWAT

Flood Prioritization Watersheds of the Aras River, Based on Geomorphometric Properties: Case Study Iğdır Province

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