Assessment of sediment yield using RS and GIS at two sub-basins of Dez Watershed, Iran

Noori, Hamed; Siadatmousavi, Seyed Mostafa; Mojaradi, Barat

doi:10.1016/j.iswcr.2016.06.001

Cited by 49 publications

(28 citation statements)

References 31 publications

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“…where Xa is the coefficient of soil protection and is non-dimensional parameter in relation with the vegetation cover and catchment's land use and it varies from 0.05 to 1. The values of this parameter are obtained by adaptation of the land use map of the Sarada river basin to the Erosion Potential Method guidelines and according to existing values in previous studies [38][39][40][41]. Thus, values of the coefficient Xa have been attributed to each unit of land use (Table 2).…”

Section: Erosion Process Intensity Prevailing Erosion Typementioning

confidence: 99%

“…In this study, we used the soil map data and the geological map of the study area to evaluate the Y factor. Subsequently, coefficient values were assigned to each soil type based on the EPM guidelines and previous studies [39][40][41][42][43][44]. In the Table 2, we present the Y values attributed to each soil type in the Sarada river basin.…”

Section: Coefficient Of Type and Extent Of Erosion φ Valuementioning

confidence: 99%

“…It is a factor without dimensional unit with values ranging from 0.1 to 1 [19,37,45]. In our study area, this parameter is evaluated based on the erosion pattern map of the Sarada river basin, and each type of erosion form has taken on a value of φ according to the guidelines of the EPM method [39][40][41]. In calculating Z, Y, Xa, and ϕ, the weighted average value was used to calculate the mean value from the all the polygons with various values.…”

Section: Coefficient Of Type and Extent Of Erosion φ Valuementioning

confidence: 99%

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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

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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.

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Section: Erosion Process Intensity Prevailing Erosion Typementioning

confidence: 99%

Section: Coefficient Of Type and Extent Of Erosion φ Valuementioning

confidence: 99%

Section: Coefficient Of Type and Extent Of Erosion φ Valuementioning

confidence: 99%

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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

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“…Several areas face water scarcity due to variations in land use types, pollution, agriculture, climate change, and human activities [5]. Land use changes cause adverse effects on catchments by affecting infiltration, flood peaks, evapotranspiration, groundwater recharge, sediment transportation, surface runoff, and water quality, among others [6]. In several parts of the earth, in the last few years there has been a severe change in the land use and consequently change in the hydrological and ecological systems [7].…”

Section: Introductionmentioning

confidence: 99%

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

et al. 2020

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Understanding the variation in the hydrological response of a basin associated with land use changes is essential for developing management strategies for water resources. The impact of hydrological changes caused by expected land use changes may be severe for the Wami river system, given its role as a crucial area for water, providing food and livelihoods. The objective of this study is to examine the influence of land use changes on various elements of the hydrological processes of the basin. Hybrid classification, which includes unsupervised and supervised classification techniques, is used to process the images (2000 and 2016), while CA-Markov chain analysis is used to forecast and simulate the 2032 land use state. In the current study, a combined approach-including a Soil and Water Assessment Tool (SWAT) model and Partial Least Squares Regression (PLSR)-is used to explore the influences of individual land use classes on fluctuations in the hydrological components. From the study, it is evident that land use has changed across the basin since 2000 (which is expected to continue in 2032), as well as that the hydrological effects caused by land use changes were observed. It has been found that the major land use changes that affected hydrology components in the basin were expansion of cultivation land, built-up area and grassland, and decline in natural forests and woodland during the study period. These findings provide baseline information for decision-makers and stakeholders concerning land and water resources for better planning and management decisions in the basin resources' use.

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“…For the past few decades, numerical, empirical, and field experiment methods have been employed to investigate soil erosion and deposition (Crutis, Flint, Alpers, & Wright, ; Gelagay & Minale, ; Noori, Siadatmousavi, & Mojaradi, ). The universal soil loss equation (USLE) model (Wischmeier & Smith, ) is one of the most widely used models for analysing soil erosion and sediment yields.…”

Section: Introductionmentioning

confidence: 99%

Assessment of sediment yield in Thailand using revised universal soil loss equation and geographic information system techniques

Rangsiwanichpong

Kazama

Gunawardhana

2018

River Research & Apps

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Soil is one of the most important natural resources on Earth. Information on soil loss is important to support agricultural productivity and natural resource management.Therefore, this research aimed to estimate and map mean annual soil erosion and sediment deposition using a geographic information system (GIS). The soil loss in each grid cell was analysed by the revised universal soil loss equation (RUSLE) model. The parameters of the RUSLE including rainfall, soil type, and land use were calculated in each grid cell from a digital elevation model with of 1-km 2 resolution. Furthermore, sediment deposition was derived from the RUSLE model and used in GIS software to generate soil loss capacity maps. The results show that soil erosion occurred over all parts of Thailand, especially in the northern and southern parts due to the topography, geology, and land cover. The sediment was deposited in grid cells where the elevation was low, primarily near rivers. The results of this research support local land development policies that are implemented to control sediment yields during development.

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Assessment of sediment yield using RS and GIS at two sub-basins of Dez Watershed, Iran

Cited by 49 publications

References 31 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

Evaluating and Predicting the Effects of Land Use Changes on Hydrology in Wami River Basin, Tanzania

Assessment of sediment yield in Thailand using revised universal soil loss equation and geographic information system techniques

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