Long-Term Hydrologic Impact of Urbanization: A Tale of Two Models

Bhaduri, Budhendra; Minner, Marie; Tatalovich, Susan; Harbor, Jonathan M.

doi:10.1061/(asce)0733-9496(2001)127:1(13)

Cited by 126 publications

(67 citation statements)

References 8 publications

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“…However, as surface water quality is controlled by both natural factors (hydrological and meteorological conditions) and human influences (urban, industrial and agricultural activities), decision makers are facing with significant difficulties the problem of how to manage surface water quality [3][4][5]. Although water quality monitoring has greatly improved over the last few decades, a representative and reliable estimation of surface water quality is still challenging [6].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Chen

Lan

Zhang

2015

Water

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Understanding the spatio-temporal variation and the potential source of water pollution could greatly improve our knowledge of human impacts on the environment. In this work, data of 11 water quality indices were collected during 2012-2014 at 10 monitoring sites in the mainstream and major tributaries of the Danjiangkou Reservoir Basin, Central China. The fuzzy comprehensive assessment (FCA), the cluster analysis (CA) and the discriminant analysis (DA) were used to assess the water pollution status and analyze its spatio-temporal variation. Ten sites were classified by the high pollution (HP) region and the low pollution (LP) region, while 12 months were divided into the wet season and the dry season. It was found that the HP region was mainly in the small tributaries with small drainage areas and low average annual discharges, and it was also found that most of these rivers went through urban areas with industrial and domestic sewages input into the water body. Principal component analysis/factor analysis (PCA/FA) was applied to reveal potential pollution sources, whereas absolute principal component score-multiple linear regression (APCS-MLR) was used to identify their contributions to each water quality variable. The study area was found as being generally affected by OPEN ACCESSWater 2015, 7 2592 industrial and domestic sewage. Furthermore, the HP region was polluted by chemical industries, and the LP region was influenced by agricultural and livestock sewage.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Chen

Lan

Zhang

2015

Water

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“…Regression models have the advantage of simplicity, often relating event loads to catchment characteristics through empirical equations [Vaze and Chiew, 2003], but cannot be confidently applied outside the region where they were created or outside their range of calibration. Process-based models are more complex, data intensive, expensive, and require considerable expertise on the part of the user [Bhaduri et al, 2001], but allow the user to model the process in a spatial temporal field. For example, the semidistributed storm water management model [Metcalf and Eddy Inc., 1971;Huber and Dickinson, 1988] is a commonly used urban storm water management tool that has extensive data requirements (1-hour rainfall, Manning's roughness coefficients for all surfaces, depression storage for all surfaces, etc.)…”

Section: Introductionmentioning

confidence: 99%

“…and requires extensive parameterization and calibration [Balascio et al, 1998], but generally provides reasonable catchment outlet results. A common problem with current urban water quality models, such as the long-term hydrological impact assessment model [Bhaduri et al, 2001;Lim et al, 2006], is that they use soil conservation curve number approach to predict runoff, which links runoff response to soils and land use in ways that fail to capture the dynamics of VSA hydrology. In VSA watersheds this approach may not adequately capture the spatial extent of contributing areas, as they are, in many cases, independent of soil hydrologic group and more controlled by topography.…”

Section: Introductionmentioning

confidence: 99%

Hydrologic assessment of an urban variable source watershed in the northeast United States

Easton

Gerard-Marchant

Walter

et al. 2007

Water Resources Research

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[1] Effective control of nonpoint source contaminants in runoff from urbanized watersheds requires knowledge about the locations of runoff source areas under a variety of conditions. Physical monitoring of spatially variant processes, such as runoff production form variable source areas, is time-consuming and expensive. Thus modeling the processes may provide a valuable cost-effective alternative. In this paper we adapt and validate a variable source model for an urban watershed to predict areas of the landscape prone to elevated soil moisture levels and saturation excess runoff. We modified the soil moisture distribution and routing (SMDR) model to simulate hydrologic processes in an urban upstate New York watershed by considering the impact of impervious surfaces, hydraulic control structures (detention basins), and land use on the water balance. In our model, infiltration excess runoff from impervious surfaces infiltrates in the surrounding soils. Simulated and observed streamflow agreed well, and more importantly, the distribution of soil moisture levels and overland flow throughout the watershed were well predicted. Removing urban features from the model resulted in substantially lower peak stormflows than observed, and the base and interflows increased accordingly. Both modeled and measured distributed results indicated that the more urbanized areas of the study site had both higher soil moistures and runoff losses due to shallower soils, greater upslope contributing areas, and a larger area of impervious surfaces generating runoff. The model results helped identify processes that describe how urbanization impacts integrated and distributed hydrology, which provides useful information for targeted water quality management.

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“…Asimismo, los cambios en los usos del suelo alteran significativamente las características hidrológicas de la superficie de los terrenos modificando los patrones y tasas del flujo del agua, con la consiguiente alteración de los sistemas costeros acuáticos que dependen de la dinámica que sigan tanto los aportes hídricos continentales como los materiales terrígenos asociados. Si este tipo de modificaciones en el balance hídrico sucede sobre áreas amplias o críticas de una cuenca o región puede tener impactos inmediatos y a largo plazo, incluyendo el aumento en los volúmenes de escurrimiento y la reducción de los suministros de agua a los mantos freá-ticos (Bhaduri et al, 2000(Bhaduri et al, , 2001Harbor, 1994;Ma, 2004).…”

Section: Introductionunclassified

Patrones de escurrimiento en la Cuenca LechuguillaOhuira-Navachiste, Sinaloa, asociados a cambios de uso del suelo: Una aproximación con el modelo del número de curva

Berlanga-Robles¹,

Ruiz‐Luna²,

Covarrubias-Legaspi³

et al. 2011

BSGM

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ResumenSe integró un sistema de información geográfica (SIG) con mapas temáticos de cobertura y usos del suelo, cartas edafológicas y registros históricos de precipitación, para analizar las tendencias de cambio de los usos del suelo y su impacto sobre los patrones de escurrimiento en la cuenca Lechuguilla-Ohuira-Navachiste, Sinaloa. A partir de la clasificación supervisada de imágenes de satélite Landsat (1973Landsat ( , 1986Landsat ( y 2000, se generaron mapas temáticos de cobertura y usos del suelo de la cuenca con niveles de exactitud > 85 %. En todos los años analizados la agricultura fue el uso del suelo dominante, cubriendo entre el 34 % y 45 % del área de la cuenca. Los porcentajes de cambio a nivel de paisaje fueron del 33 % de 1973 a 1986 y del 27 % de 1986 al 2000, asociados principalmente a las clases vegetación arbustiva y agricultura, las cuales registraron tasas medias de cambio anual entre 1973 y 2000, de 2.1 % y 0.6 %, respectivamente. El impacto del cambio sobre los patrones de escurrimiento de la cuenca se evaluó con el modelo del número de curva. El volumen de escurrimiento medio anual se estimó en 198 x 10 6 m 3 para 1973, 302 x 10 6 m 3 para 1986 y 197 x 10 6 m 3 para el 2000, que correspondieron a coeficientes de escurrimiento del 16 %, 20 % y 23 %, respectivamente. Los resultados indican que para la zona de estudio el cambio en los volúmenes de escurrimiento depende más de los cambios en las tasas de precipitación que de los cambios en la cobertura y usos del suelo, debido a que predominan los suelos de textura fina con poca capacidad de infiltración y un potencial de escurrimiento resistente a los cambios de uso del suelo. Palabras clave: cuenca, percepción remota, sistemas de información geográfica (SIG), número de curva, usos del suelo, escurrimiento AbstractIn order to analyze trends in land use change in the Lechuguilla-Ohuira-Navachiste watershed (Sinaloa), as well as their impact on runoff patterns, a geographic information system (GIS) was integrated with land use/cover thematic maps, soil cartography and rainfall time-series. Land use/cover thematic maps, with accuracies > 85 %, were produced by supervised classification of Landsat satellite imagery (1973, 1986, and 2000). Agriculture was the main land use during the study period, covering between 34 % and 45 % of the basin area. At the landscape level, changes amounted to 33 % from 1973 to 1986, and 27 % from 1986

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Long-Term Hydrologic Impact of Urbanization: A Tale of Two Models

Cited by 126 publications

References 8 publications

Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Spatio-Temporal Variations and Source Apportionment of Water Pollution in Danjiangkou Reservoir Basin, Central China

Hydrologic assessment of an urban variable source watershed in the northeast United States

Patrones de escurrimiento en la Cuenca LechuguillaOhuira-Navachiste, Sinaloa, asociados a cambios de uso del suelo: Una aproximación con el modelo del número de curva

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