Flood hazard awareness and hydrologic modelling at Ambos Nogales, United States–Mexico border

Norman, Laura M.; Huth, H.; Levick, Lainie R.; Burns, I. Shea; Guertin, D. Phillip; Lara‐Valencia, Francisco; Semmens, Darius J.

doi:10.1111/j.1753-318x.2010.01066.x

Cited by 48 publications

(55 citation statements)

References 29 publications

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“…Land use/land cover (LULC). Land use/land cover is an important factor to identify those zones that have shown high susceptibility to flooding (Norman et al 2010). Vegetated areas have low potential to flooding due to the negative relationship between flooding and vegetation density.…”

Section: Methodsmentioning

confidence: 99%

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati

Zeinivand

Besharat

2015

Geomatics, Natural Hazards and Risk

340

136

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Flood is considered to be the most common natural disaster worldwide during the last decades. Flood hazard potential mapping is required for management and mitigation of flood. The present research was aimed to assess the efficiency of analytical hierarchical process (AHP) to identify potential flood hazard zones by comparing with the results of a hydraulic model. Initially, four parameters via distance to river, land use, elevation and land slope were used in some part of the Yasooj River, Iran. In order to determine the weight of each effective factor, questionnaires of comparison ratings on the Saaty's scale were prepared and distributed to eight experts. The normalized weights of criteria/parameters were determined based on Saaty's nine-point scale and its importance in specifying flood hazard potential zones using the AHP and eigenvector methods. The set of criteria were integrated by weighted linear combination method using ArcGIS 10.2 software to generate flood hazard prediction map. The inundation simulation (extent and depth of flood) was conducted using hydrodynamic program HEC-RAS for 50-and 100-year interval floods. The validation of the flood hazard prediction map was conducted based on flood extent and depth maps. The results showed that the AHP technique is promising of making accurate and reliable prediction for flood extent. Therefore, the AHP and geographic information system (GIS) techniques are suggested for assessment of the flood hazard potential, specifically in no-data regions.

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Section: Methodsmentioning

confidence: 99%

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati

Zeinivand

Besharat

2015

Geomatics, Natural Hazards and Risk

340

136

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“…Recent population data indicates that the border between the USA and Mexico is experiencing rapid economic and population growth, de spite the 2008 to 2009 financial turmoil and real estate downturn (Norman et al 2010). In this region of limited surface water supplies, the water demands of growing populations and increasing economic activity are met using groundwater.…”

Section: Urban Growth and Increasing Water Demandmentioning

confidence: 99%

Effects of climate change and population growth on the transboundary Santa Cruz aquifer

Scott¹,

Megdal²,

Oroz³

et al. 2012

Clim. Res.

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The USA and Mexico have initiated comprehensive assessment of 4 of the 18 aquifers underlying their 3000 km border. Binational management of groundwater is not currently proposed. University and agency researchers plus USA and Mexican federal, state, and local agency staff have collaboratively identified key challenges facing the Santa Cruz River Valley Aquifer located between the states of Arizona and Sonora. The aquifer is subject to recharge variability, which is compounded by climate change, and is experiencing growing urban demand for groundwater. In this paper, we briefly review past, current, and projected pressures on Santa Cruz groundwater. We undertake first-order approximation of the relative magnitude of climate change and human demand drivers on the Santa Cruz water balance. Global circulation model output for emissions scenarios A1B, B1, and A2 present mixed trends, with annual precipitation projected to vary by ± 20% over the 21st century. Results of our analysis indicate that urban water use will experience greater percentage change than climate-induced recharge (which remains the largest single component of the water balance). In the Mexican portion of the Santa Cruz, up to half of future total water demand will need to be met from non-aquifer sources. In the absence of water importation and with agricultural water use and rights increasingly appropriated for urban demand, wastewater is increasingly seen as a resource to meet urban demand. We consider decision making on both sides of the border and conclude by identifying short-and longer-term opportunities for further binational collaboration on transboundary aquifer assessment.

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“…AGWA can use the National Land Cover Dataset (NLCD) for parameterization so it can assess the effect of the most recent NLCD version or look at change between NLCD versions. AGWA has been used to assess landscape change on runoff and water quality in Arizona, New York, Virginia, Oregon, Texas, Kenya, Jordan, Mexico and other locations (Miller et al 2002;Kepner 2008a;Yang and Li 2011;Baker and Miller 2013;Abulla and Eshtawi 2007;Norman et al 2010). …”

Section: Applicationsmentioning

confidence: 99%

Automated Geospatial Watershed Assessment Tool (AGWA)

Guertin

Goodrich

Burns

et al. 2015

Watershed Management 2015

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The Automated Geospatial Watershed Assessment tool (AGWA, see: www.tucson.ars.ag.gov/agwaor http://www.epa.gov/esd/land-sci/agwa/) is a GIS interface jointly developed by the USDA Agricultural Research Service, the U.S. Environmental Protection Agency, the University of Arizona, and the University of Wyoming to automate the parameterization and execution of a suite of hydrologic and erosion models (RHEM, KINEROS2 and SWAT). Through an intuitive interface the user selects an outlet from which AGWA delineates anddiscretizes the watershed using a Digital Elevation Model (DEM). The watershed modelelements are then intersected with terrain, soils, and land cover data layers to derive the requisitemodel input parameters. The chosen model is then run, and the results are imported backinto AGWA for graphical display. AGWA can difference results from multiple simulations to examine relative change over a variety of input scenarios (e.g. climate/storm change, land cover change, implementation of BMPs, present conditions and alternative futures).This allows managers to identify potential problem areas where additional monitoring can be undertaken or mitigation activities can be focused. Application examples of AGWA will be presented including post-fire assessment, implementation of rangeland BMPs, green infrastructure, and future change analysis. Versions of AGWA are available for ESRI ArcView 3.x and ArcGIS 9.x and 10.x. Watershed Management 2015 © ASCE 2015 120 © ASCE Watershed Management 2015 Downloaded from ascelibrary.org by UNIVERSITE LAVAL on 10/07/15.

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Flood hazard awareness and hydrologic modelling at Ambos Nogales, United States–Mexico border

Cited by 48 publications

References 29 publications

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Effects of climate change and population growth on the transboundary Santa Cruz aquifer

Automated Geospatial Watershed Assessment Tool (AGWA)

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