Evaluating sediment yield at King Talal Reservoir from landslides along Irbid–Amman Highway

Al-Sheriadeh, Mohanned S.; Malkawi, Abdallah I. Husein; Al-Hamdan, Ashraf Z.; Abderahman, Nabil

doi:10.1016/s0013-7952(99)00119-2

Cited by 18 publications

(14 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Out of the 43 sub-watersheds of the Zerqa River, 17 sub-watersheds (39.5% of the total) (sub-watersheds nos. 5,6,7,10,13,16,17,19,31,32,33,34,35,37,38,40, and 42) came under high priority (Figure 7). These sub-watersheds have the highest value of slope, and are heavily influenced by progressive rejuvenation, and deep and shallow landslides, where dissected terrain and steep slopes are characteristic.…”

Section: Prioritization Of Sub-watersheds Based On Morphometric Analysismentioning

confidence: 99%

“…In the western part of the Zerqa River catchment, sub-watersheds nos. 5,6,8,10,13,16,17,19,31,32,33,34,35,37,38, and 40 are classified under high priority for soil conservation measures. These sub-watersheds represent typical rainfed areas which are subjected to intense rejuvenation, landslide activity, and severe soil erosion, past and present abuse of land resources, recurrent droughts, overgrazing, and expansion of settlements at the expense of the fertile agricultural lands.…”

Section: Proposed Soil and Water Conservation Measuresmentioning

confidence: 99%

“…Erosion risk was classified as: (i) severe erosion risk by gullying and dominant in the western part of the watershed; (ii) high erosion risk by overland flow and rill erosion, affecting the north eastern part of the catchment; (iii) high gullying erosion risk in the middle, extending eastward; and (iv) low erosion risk by gullying and overland flow dominant in the northern and southern-central part of the watershed. Moreover, using the AGNPS erosion model, Al-Sheriadeh et al [13] simulated the annual sediment yield at King Talal reservoir at 2.9 Mm 3 •yr −1 . Also, Al-ansari and Knutsson [14] concluded that W. Alarab Dam (northern Jordan) will be filled with sediments within 38 years.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

View full text Add to dashboard Cite

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.

show abstract

Section: Prioritization Of Sub-watersheds Based On Morphometric Analysismentioning

confidence: 99%

Section: Proposed Soil and Water Conservation Measuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…Soil erosion caused by running water has been estimated for the eastern Rift watersheds to be 1.328 million tons•yr −1 [5]. Similarly, the estimated total sediment inflow to King Talal Reservoir (Zarqa River) ranges from 1.7 to 3.84 MCM (million cubic meters) yr −1 , with an average of 2.813 MCM yr −1 [6] [7] [8] [9]. Also, the predicted average •yr −1 [16].…”

Section: Introductionmentioning

confidence: 99%

Prioritization of W. Mujib Catchment (South Jordan) through Morphometric and Discriminant Analysis, GIS, and RS Techniques

Farhan¹,

Zreqat²,

Anbar³

et al. 2018

GEP

View full text Add to dashboard Cite

GIS and remote sensing were utilized for prioritizing the W. Mujib catchment. Fifty three fourth-order sub-watersheds were prioritized based on morphometric analysis of linear and shape parameters. ASTER DEM (v.2), topographical maps, and Arc GIS (10.1) software, have been employed to delineate the 53 sub-basins, to extract the drainage networks, and to compute the required basic, linear, and shape parameters, and to compile the necessary thematic maps such as elevation and slope categories. The land use/land cover map was generated using ERDAS Imagine (2015), LANDSAT 8 image, and supervised classification (Maximum Likelihood Method). Soil map was digitized using the Arc GIS tool. Each sub-basin is prioritized by assigning ranks based on the calculated compound parameter (Cp). The final score for each sub-basin is ascribed as per erosion threat. The 53 sub-watersheds were grouped into four categories of priority: very high (15 sub-basins, 28.3% of the total), high (17 sub-basins, 32% of the total), moderate (16 sub-basins, 30.2% of the total), and low (5 sub-basins, 9.5% of the total). Sub-basins categorized as very high and high priority (60.3% of the total) are subjected to high erosion risk, thus, creating an urgent need for applying soil and water conservation measures. The validity of the prioritized four groups was tested statistically by means of Discriminant Analysis (DA), and a significant difference was found between the four priority classes. A relatively complete separation exists between the recognized priority classes; thus, they are statistically valid, distinct, and different from each other. The present results intend to help decision makers pay sufficient attention to soil and water conservation programs, and to encourage tree plantation over the government-owned sloping land. Such procedures are essential in order to minimize soil erosion loss, and How to cite this paper:

show abstract

“…If these sediments cannot be drained out, then they settle down into the reservoir to form a muddy lake. A major source of sediment is the landslide-derived sediment yield (Al-Sheriadeh et al 2000;Korup et al 2004), and sediment by soil erosion traced using 137 Cs (Stefano et al 1999;Ambers 2001;Higgitt and Lu 2001;Lu and Higgitt 2001;Walling and Fang 2003;Lee et al 2005) and by 10 Be and 26 Al (Clapp et al 2002; to measure sediment generation and identify sediment sources. Factors that affect the river sediment fluxes for reservoir construction include land clearance and land use change, mining activity, soil and water conservation measures and sediment control programs and climate change (Ambers 2001).…”

Section: Introductionmentioning

confidence: 99%

Landslides affecting sedimentary characteristics of reservoir basin

Chen

et al. 2009

Environ Earth Sci

View full text Add to dashboard Cite

Typhoons Aere (2004) and Matsa (2005) caused high nephelometric turbidity in the Shihmen reservoir in northern Taiwan, jeopardizing the operation of the reservoir for several days, and ultimately impacting the living conditions and economy of the downstream residents. The torrential rains caused landslides and debris flows in upland areas, and flowed into riverbeds, likely contributing significantly to the suspended sediment yields in the reservoir. This investigation elucidates how upland landslides affect sediment attributes in the reservoir basin. Study methods including field observations, spatial analysis in GIS and aerial photo interpretation are adopted to trace the sediment sources and contributing factors to the landslide. Torrential rains induced landslides and debris-flows upland, causing river incisions and soil erosion in landslide areas lacking vegetation. These factors, together with the conditions of the engineered structures and geologic vulnerabilities of the area, caused suspended sediment yield in the reservoir. The high nephelometric turbidity could potentially reoccur, with masses of landslide-derived sediment remaining upland and in the riverbed

show abstract

Evaluating sediment yield at King Talal Reservoir from landslides along Irbid–Amman Highway

Cited by 18 publications

References 6 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

Prioritization of W. Mujib Catchment (South Jordan) through Morphometric and Discriminant Analysis, GIS, and RS Techniques

Landslides affecting sedimentary characteristics of reservoir basin

Contact Info

Product

Resources

About