Automated Watershed Evaluation of Flat Terrain

Al-Muqdadi, Sameh W.; Merkel, Broder J.

doi:10.4236/jwarp.2011.312099

Cited by 13 publications

(4 citation statements)

References 13 publications

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“…The annual precipitations show that there is almost a one peaking event every 4 years ( Figure 1) [16]. It is a flat terrain sloping gently at an average of~0.002 degrees from the west towards the Euphrates River [17]. Due to low precipitation and high potential evaporation, a permanent vegetation cover does not exist [18].…”

Section: Methodsmentioning

confidence: 99%

Groundwater Flow-Modeling and Sensitivity Analysis in a Hyper Arid Region

Al-Muqdadi¹,

Abo²,

Khattab

et al. 2020

Water

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Groundwater modelling is particularly challenging in arid regions where limited water recharge is available. A fault zone will add a significant challenge to the modelling process. The Western Desert in Iraq has been chosen to implement the modelling concept and calculate the model sensitivity to the changes in aquifer hydraulic properties and calibration by researching 102 observations and irrigation wells. MODFLOW-NWT, which is a Newtonian formulation for MODFLOW-2005 approaches, have been used in this study. Further, the simulation run has been implemented using the Upstream-Weighting package (UPW) to treat the dry cells. The results show sensitivity to the change of the Kx value for the major groundwater discharge flow. Only about 7% of the models from the region can be irrigated utilizing greenhouses supported by external recharge.

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Section: Methodsmentioning

confidence: 99%

Groundwater Flow-Modeling and Sensitivity Analysis in a Hyper Arid Region

Al-Muqdadi¹,

Abo²,

Khattab

et al. 2020

Water

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“…Unidade deposicional do tipo Áreas Úmidas (D1). A e B: Área úmida com tapete gramíneo (1). Deposição de finos transportados por fluxos superficiais em lençol e depositados em áreas planas em fundos de vales amplos, com entalhamento muito fraco (< 5,0 m).…”

Section: áReas úMidas (D1)unclassified

Mapeamento Geoambiental detalhado com uso de SIG e dados livres como estratégia de baixo custo para planejamento territorial periurbano

Siqueira

Xavier

Figueredo

et al. 2022

Rev. Bras. Geomorfol.

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Cidades tropicais em países subdesenvolvidos expandem-se em ritmo acelerado e desordenado. Tal situação tem causado degradação ambiental sem precedentes. Visando propor uma alternativa útil ao ordenamento territorial dessas cidades, aplicamos uma metodologia de emprego rápido e de baixo custo para mapear unidades geoambientais em escala 1/25.000, aplicada numa área piloto de 2.000 ha na zona de expansão urbana de Cuiabá, Mato Grosso. O procedimento consistiu em refinar o Modelo Digital de Elevação TOPODATA por meio dos métodos de escavação digital de canais de drenagem e filtro da diferença da elevação média, a fim de realçar as geoformas da área de estudo para que pudessem ser identificadas emescala de 1/25.000. O método serviu como base para extração de rede de drenagem através do entalhamento de canais, e possibilitou a compartimentação em cinco unidades geoambientais: Morrotes Assimétricos Alinhados; Superfícies Tabulares; Rampas; Vales e Áreas úmidas ou Várzeas. O mapeamento permitiu ainda, derivar recomendações de uso, conforme ofuncionamento dos compartimentos paisagísticos. Assim, a abordagem constitui uma alternativa auxiliar, rápida e de baixo custo, ao ordenamento de áreas periurbanas em rápido processo de expansão.

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“…Prior to now, topographic maps and aerial photos were processed manually as part of the catchment delineation procedures. The usage of Geospatial Information Systems (GIS) has largely replaced human labor in the present thanks to technological innovation that makes it possible to employ sophisticated instruments [13][14].…”

Section: Introductionmentioning

confidence: 99%

Dam Site Characterization Based on Land Use and Land Cover Changes in Urban Catchments. A Case of the Msimbazi Catchment in Dar es Salaam, Tanzania

Mkilima

2023

tbus

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Site characterization is crucial for the location and design of dams because it offers data for risk assessments and the planning and implementation of remediation measures. This study looked into the potential use of GIS-based methods for the characterization of dam sites. Satellite pictures were used to verify the catchment delineation results. The catchment slope, the number of networks in the sub-basin, and the land surface cover were all taken into consideration while choosing a location for a dam. From the findings, five possible dam site locations — Kisarawe (upstream), Magomeni, Kinyerezi, Jangwani, and Pugu sub-catchments — were identified. The Kisarawe sub-basin upstream has the largest prospective location (covering an area of around 89.89 km2) since it has a less populated and developed area, which would allow for enough room to construct a dam while protecting the downstream from frequent flooding. According to the capacity and other requirements of the receiving stream downstream, the chosen dam locations could hold approximately 75.15% of the runoff produced in the catchment before releasing it at a controlled rate. The outcomes of the study demonstrate further the effectiveness of geographic information systems in determining the characteristics of dam sites and in designing sustainable dams that take land surface cover into account.

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Automated Watershed Evaluation of Flat Terrain

Cited by 13 publications

References 13 publications

Groundwater Flow-Modeling and Sensitivity Analysis in a Hyper Arid Region

Groundwater Flow-Modeling and Sensitivity Analysis in a Hyper Arid Region

Mapeamento Geoambiental detalhado com uso de SIG e dados livres como estratégia de baixo custo para planejamento territorial periurbano

Dam Site Characterization Based on Land Use and Land Cover Changes in Urban Catchments. A Case of the Msimbazi Catchment in Dar es Salaam, Tanzania

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