Geomorphological analysis and prioritization of sub-watersheds using Snyder’s synthetic unit hydrograph method

Singh, Narender; Singh, Krishna Kumar

doi:10.1007/s13201-014-0243-1

Cited by 34 publications

(14 citation statements)

References 22 publications

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“…In some other studies, morphometric analysis, land use/ land cover parameters, sediment yield index [42], and Snyder's synthetic unit hydrograph method have been incorporated in analysis [51]. In several other investigations, morphometric aspects associated with predicted annual soil loss parameter, based on the USLE or RUSLE models, or soil erosion susceptibility analysis were employed for identifying potential sub-watersheds for conservation works planning [52].…”

Section: Introductionmentioning

confidence: 99%

Prioritization of Semi-Arid Agricultural Watershed Using Morphometric and Principal Component Analysis, Remote Sensing, and GIS Techniques, the Zerqa River Watershed, Northern Jordan

Farhan¹,

Anbar²,

Al-Shaikh³

et al. 2017

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Remote sensing and GIS techniques were employed for prioritization of the Zerqa River watershed. Forty-three 4 th order sub-watersheds were prioritized based on morphometric and Principal Component Analysis (PCA), in order to examine the effectiveness of morphometric parameters in watershed prioritization. A comparison has been carried out between the results achieved through applying the two methods of analysis (morphometric and PCA). Afterwards, suitable measures are proposed for soil and water conservation. Topo sheets and ASTER DEM have been employed to demarcate the 43 subwatersheds, to extract the drainage networks, and to compile the required thematic maps such as slope categories and elevation. LANDSAT 8 image (April-2015) is employed to generate land use/cover maps using ENVI (v 5.1) software. The soil map of the watershed has been digitized using Arc GIS software. Prioritization of the 43 sub-watersheds was performed using ten linear and shape parameters, and three parameters which are highly correlated with components 1 and 2. Subsequently, different sub-watersheds were prioritized by ascribing ranks based on the calculated compound parameters (Cp) using the two approaches. Comparison of the results revealed that prioritization of watersheds based on morphometric analysis is more consistent and serves for better decision making in conservation planning as compared with the PCA approach. The recommended soil conservation measures are prescribed in accordance with the specified priority, in order to avoid undesirable effects on land and environment. Sub-watersheds classified under high priority class are subjected to high erosion risk, thus, creating an urgent need for applying soil and water conservation measures. It is expected that decision 114makers will pay sufficient attention to the present results/information, activate programs encouraging soil conservation, integrated watershed management, and will continue working on the afforestation of the government-owned sloping lands. Such a viable approach can be applied at different parts of the rainfed highland areas to minimize soil erosion loss, and to increase infiltration and soil moisture in the soil profile, thus, reducing the impact of recurrent droughts and the possibility of flooding hazards.

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Section: Introductionmentioning

confidence: 99%

Prioritization of Semi-Arid Agricultural Watershed Using Morphometric and Principal Component Analysis, Remote Sensing, and GIS Techniques, the Zerqa River Watershed, Northern Jordan

Farhan¹,

Anbar²,

Al-Shaikh³

et al. 2017

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“…Long LTs have also been observed by de Almeida et al (2017) and have resulted in smooth rises and recessions of hydrographs. The resulting rounded forms contrast with the sharp forms observed in torrential watersheds (Singh and Singh, 2017). It is likely that the large floodplain extension, in both length and width, as well as the type of vegetation, contributed to this pattern.…”

Section: Comparison Among Methods Of Lt Estimationmentioning

confidence: 83%

Assessing methods for the estimation of response times of stream discharge: the role of rainfall duration

Cuevas

Arumí

Dörner

2019

Journal of Hydrology and Hydromechanics

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Lagtimes and times of concentration are frequently determined parameters in hydrological design and greatly aid in understanding natural watershed dynamics. In unmonitored catchments, they are usually calculated using empirical or semiempirical equations developed in other studies, without critically considering where those equations were obtained and what basic assumptions they entailed. In this study, we determined the lagtimes (LT) between the middle point of rainfall events and the discharge peaks in a watershed characterized by volcanic soils and swamp forests in southern Chile. Our results were compared with calculations from 24 equations found in the literature. The mean LT for 100 episodes was 20 hours (ranging between 0.6–58.5 hours). Most formulae that only included physiographic predictors severely underestimated the mean LT, while those including the rainfall intensity or stream velocity showed better agreement with the average value. The duration of the rainfall events related significantly and positively with LTs. Thus, we accounted for varying LTs within the same watershed by including the rainfall duration in the equations that showed the best results, consequently improving our predictions. Izzard and velocity methods are recommended, and we suggest that lagtimes and times of concentration must be locally determined with hyetograph-hydrograph analyses, in addition to explicitly considering precipitation patterns.

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“…Eleven of the twenty five studies (44% of the total) employed morphometric analysis method in prioritization [8] [27]. Whereas the other 14 studies (56% of the total) adopted the morphometric analysis method combined with one or two of the following methods, such as: sediment yield index method(SYI) [8] [22]; sediment production rate (SPR) method [28]; USLE/RUSLE models for estimating soil loss [7] [29] [30]; soil erosion susceptibility analysis [12]; runoff potential method [31]; land use/cover analysis [32] [33]; sediment yield index(SYI)and land use/cover [23]; weighted sum analysis technique [34]; fuzzy analytical hierarchy process [30] [35]; Snyder's method of unit hydrograph, and land use/cover [36].…”

Section: Introductionmentioning

confidence: 99%

Prioritization of Sub-Watersheds in a Large Semi-Arid Drainage Basin (Southern Jordan) Using Morphometric Analysis, GIS, and Multivariate Statistics

Farhan¹,

Anbar²,

Al-Shaikh³

et al. 2018

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GIS-based morphometric analysis was employed to prioritize the W. Mujib-Wala watershed southern Jordan. Seventy six fourth-order sub-watersheds were prioritized using morphometric analysis of ten linear and shape parameters. Each sub-watershed is prioritized by designated ranks based on the calculated compound parameter (Cp). The total score for each sub-basin is assigned as per erosion threat. The 76 sub-basins were grouped into four categories of priority: very high (12 sub-basins, 15.8% of the total), high (32 sub-watersheds, 42.1% of the total), moderate (25 sub-watersheds, 32.9% of the total), and low (7 sub-watersheds, 9.2% of the total). Sub-watersheds categorized as very high and high are subjected to high erosion risk, thus creating an urgent need for applying soil and water conservation measures. The relative diversity in land use practices and land cover, including variation in slope and soil types, are considered in proposing suitable conservation structures for sub-watersheds connected to each priority class. The adaptation of soil conservation measures priority-wise will reduce the erosivity effect on soil loss; while increasing infiltration rates; and water availability in soil profile. Principal component analysis (PCA) reduces the basic parameters and erosion risk parameters to three components, explaining 88% of the variance. The relationships of these components to the basic and erosion risk parameters were evaluated, and then the degree of inter-correlation among the morphometric parameters was explored. The verification of priority classes obtained through morphometric analysis was tested using Discriminant Analysis (DA)

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Geomorphological analysis and prioritization of sub-watersheds using Snyder’s synthetic unit hydrograph method

Cited by 34 publications

References 22 publications

Prioritization of Semi-Arid Agricultural Watershed Using Morphometric and Principal Component Analysis, Remote Sensing, and GIS Techniques, the Zerqa River Watershed, Northern Jordan

Prioritization of Semi-Arid Agricultural Watershed Using Morphometric and Principal Component Analysis, Remote Sensing, and GIS Techniques, the Zerqa River Watershed, Northern Jordan

Assessing methods for the estimation of response times of stream discharge: the role of rainfall duration

Prioritization of Sub-Watersheds in a Large Semi-Arid Drainage Basin (Southern Jordan) Using Morphometric Analysis, GIS, and Multivariate Statistics

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