Morphometric Analysis of Galal Bedrah River Basin Using STRM (DEM) Data and GIS Techniques

IOP Conf. Ser.: Earth Environ. Sci.

AL-Badry

2022

Self Cite

Soil texture affects many physical and chemical properties of soil. Knowledge of soil texture is essential for all water and soil studies. The aim of the research is to draw a map of the spatial distribution of soil texture in the region of eastern Wasit province and know the relationship of texture to the soil’s hydrological groups. Laboratory tests were conducted on 25 soil samples. With a depth of 50-75 cm, were selected from locations that represent the study area. According to the unified classification system, The results showed that the soil texture for the samples locations was 40% sand, 16% for both silt loam and sandy loam, 12% for loamy sand, 8% for both sandy clay loam and sandy loam. A soil texture classification map was produced for the study area. The first soil texture map for the area differs significantly from the World Food and Agriculture Organization soil texture classification map. It adopts signed tests of the site. The statistical analysis showed that the per cent sand’s standard deviation was 22.65%, silt 19.247%, and 6.416% clay. It turns out that 52% of the soil models from hydrologic group A, 24% from hydrologic group B and 24% from hydrologic group C, Arc GIS software was used to produce maps.

Section: Introductionmentioning

confidence: 58%

Soil Texture Distribution for East Wasit Province, Iraq

IOP Conf. Ser.: Earth Environ. Sci.

AL-Badry

2022

Self Cite

“…Many researchers studied water basins, where the morphometric analysis was performed using remote sensing and geographic information systems (GIS) techniques. Morphometric analysis was used to study the basin's physical properties to find the effect of runoff on soil erosion sediment accumulation in the water basin) Singh, 2020;Shamkhi et al, 2019a). Prediction of flood risk and its relationship to watershed physical properties (Shamkhi et al, 2020;Makhamreh et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies dealt with parts of the study area. (Shamkhi et al, 2019a) The drainage properties of a small portion of the area were derived (Shamkhi et al, 2020), Where some physical properties were studied and analyzed to reflect the characteristics of the rivers network area (Hilo and Saeed, 2019). To evaluate the quantity and quality of water income for a part of the study area and evaluate the best method ) Manhi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Groundwater Recharge Potential Depending on Morphologic Analysis in East of Wasit, Southeastern Iraq

2021

IGJ

Self Cite

Modern technologies are used for watershed management to cope with drought risks in arid and semi-arid regions. The study aimed to conduct a morphometric analysis and know potential groundwater recharge areas in the eastern region of Wasit Province. Remote sensing and GIS data were used for morphometric analysis. The morphometric analysis results adopted the Digital Elevation Model. The results of the analysis were verified by matching the results with what exists in reality. The area of the first basin was 1482.017, as it is the largest basin from the area, with a percent of 51.228% of the total area of all basins. The percentage of first-degree flows reached 83.37% in the first basin, 74.14% percent in the second basin, 75.51% in the third basin, and 75.75% in the fourth basin from all streams in each basin. The bifurcation rate (3.135-4.233), Stream frequency range values (0.543-0.332), drainage texture coarse, low drainage density that ranged between 0.986-1.14 km/km2 elongation ratio ranging from 0.348-0.624 form factor (0.095-0.316). The basins' circularity (0.105-0.238) relief value (951-112) m infiltration number value (0.369-0.535). All basins have a longitudinal shape and lead to the formation of floods and rapid currents, which exposes the region to rapid seasonal floods and the creation of flash floods that cause soil erosion and analyses the drainage intensity results. It was low, and this is an indication that the ground has high permeability. The flow frequency results indicate that the area is semi-arid and exposed to small amounts of rain and coarse drainage texture by comparing the result parameters from morphometric analysis results for each basin. The potential recharge areas of groundwater in the study area can be known, n as the analysis results showed that recharge potential occurs in all basins. The highest groundwater recharge is possible in the third basin and the lowest in the first basin. Morphometric analysis was performed by ARC-GIS(Arc-map10.4).

“…It also estimates other seasonal hydrological components that are spatially distributed, such as evapotranspiration, transpiration, surface runoff, interception, and evaporation from the soil [7]. Many studies were conducted on the study area, where the surface runoff was calculated [22], and the SWAT model was used to calculate the surface runoff [23,24]. The morphometric analysis was conducted for the study area [25], but the groundwater recharge was not calculated for the study area in the previous studies.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Spatial Groundwater Recharge Using WetSpass Model For east Wasit province ,Iraq

AL-Badry

2021

ejuow

Groundwater is an important water source, especially in arid and semi-arid areas. Recharge is critical to managing and analyzing groundwater resources despite estimation difficulty due to temporal and spatial change. the study aim is to estimate annual groundwater recharge for the eastern Wasit Province, Iraq. Where suffers from a surface water shortage due to the region's high elevation above Tigris River water elevation by about 60 m. It is necessary to search for alternative water sources, such as groundwater use, especially with the increased demand for water in light of the growth of oil extraction in the region, where oil extraction requires a quantity of water three times the amount of oil extracted. The result shows the annual recharge calculated using the WetSpass model for the period (2014-2019) ranged from 0 to 65.176 mm/year at a rate of 27.117 mm/year and a standard deviation of 21.498. The simulation results reveal that the WetSpass model simulates the components of the hydrological water budget correctly. For managing and planning available water resources, a better grasp of the simulation of long-term average geographical distribution around the components of the water balance is beneficial.