DEM and ArcGIS-Based Extraction of Eco-Hydrological Characteristics in Ya'an, China

Ni, Fuquan; Tan, Yaosheng; Xu, Li; Fu, Cheng-wei

doi:10.1109/iwisa.2010.5473679

Cited by 6 publications

(2 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Using the digital elevation model (DEM) as an input, flow direction, flow accumulation path, and channel network around the Sukkur barrage region were generated using ArcHydro tools in ArcGIS environment. Flow accumulation map was generated with the help of flow direction map, which shows the orientation that water will flow away in any eight possible directions in a single grid (Quan et al 2010). The basic assumption of flow accumulation grid is that water will flow upward to downward, based on which the algorithm calculates the potential of accumulation of water in each individual grid.…”

Section: Data Used and Methodsmentioning

confidence: 99%

The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data

2011

View full text Add to dashboard Cite

The Indus flood in 2010 was one of the greatest river disasters in recent history, which affected more than 14 million people in Pakistan. Although excessive rainfall between July and September 2010 has been cited as the major causative factor for this disaster, the human interventions in the river system over the years made this disaster a catastrophe. Geomorphic analysis suggests that the Indus River has had a very dynamic regime in the past. However, the river has now been constrained by embankments on both sides, and several barrages have been constructed along the river. As a result, the river has been aggrading rapidly during the last few decades due to its exceptionally high sediment load particularly in reaches upstream of the barrages. This in turn has caused significant increase in cross-valley gradient leading to breaches upstream of the barrages and inundation of large areas. Our flow accumulation analysis using SRTM data not only supports this interpretation but also points out that there are several reaches along the Indus River, which are still vulnerable to such breaches and flooding. Even though the Indus flood in 2010 was characterized by exceptionally high discharges, our experience in working on Himalayan rivers and similar recent events in rivers in Nepal and India suggest that such events can occur at relatively low discharges. It is therefore of utmost importance to identify such areas and plan mitigation measures as soon as possible. We emphasize the role of geomorphology in flood analysis and management and urge the river managers to take urgent steps to incorporate the geomorphic understanding of Himalayan rivers in river management plans.

show abstract

Section: Data Used and Methodsmentioning

confidence: 99%

The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data

2011

View full text Add to dashboard Cite

show abstract

“…Arc GIS was used to extract hydrological characteristics such as ow direction, ow accumulation, ow length, stream networks, and snap pour point of various streams (Fu-quan et al, 2010). Gossa W, (2011), globally soil degradation is affecting 1.9 billion hectares and is increased at a rate of 5 to 7 million ha/yr.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Watershed Characteristics and Spatial Soil Loss Estimation: A case Fincha Watershed, Western Ethiopia

Debela

Fufa

2020

Preprint

View full text Add to dashboard Cite

Characteristics of watershed were not well investigated as global also in Fincha, Ethiopia. Fincha watershed is the most erosion prone area in the highlands of Ethiopia towards to Fincha dam.Therefore, the aim of this study was toanalysisFincha watershed characteristics based on land use/cover, soil type and slope classification and to identify soil erosionpronearea using Arc-GIS and Arc-SWAT model.Accordingly, nine major land use/covers were identified. Those were:- bush land, dominantly cultivated, moderately cultivated, irrigated land, grass land, water bodies, swamp area, urban and woodland open. From these most part of the catchment was under cultivation with 67.677% of the total area. In the same way, the major soil types identified were: - chromic luvisols, chromic vertisols, dystric cambisols, eutric cambisols, eutric nitosols, eutric regosols, haplic phaeozems, humic cambisols and water. Cambisols were covered the highest percentage, 39.98% area of the catchment.Subsequently, average annual values of estimated soil lossfrom the catchment was231.2 ton/ha.The identified prone erosion areas were sub-basins 1, 8, 11, 14, 17 and 20. It was very critical for environmentalists, hydrologists, agricultural experts, watershed managements and concerned decision makers for sustainable water resource projects and environmental protection system. Therefore, further detail investigation and appropriate watershed management practices should be given for these subbasins.

show abstract

Applying the water quality indices and geographic information system approach to assessing the suitability of groundwater quality for drinking and irrigation purposes in the semi-arid region of Tebessa-Ain Chabro, Northeastern Algeria

Abidi Saad,

Seghir,

Touahri

et al. 2024

Appl Water Sci

View full text Add to dashboard Cite

DEM and ArcGIS-Based Extraction of Eco-Hydrological Characteristics in Ya'an, China

Cited by 6 publications

References 1 publication

The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data

The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data

Analysis of Watershed Characteristics and Spatial Soil Loss Estimation: A case Fincha Watershed, Western Ethiopia

Applying the water quality indices and geographic information system approach to assessing the suitability of groundwater quality for drinking and irrigation purposes in the semi-arid region of Tebessa-Ain Chabro, Northeastern Algeria

Contact Info

Product

Resources

About