Impacts of combined land-use and climate change on streamflow in two nested catchments in the Southeastern United States

Hung, Chen‐Ling J.; James, L. Allan; Carbone, Gregory J.; Williams, John

doi:10.1016/j.ecoleng.2019.105665

Cited by 44 publications

(20 citation statements)

References 68 publications

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“…The Environmental Protection Agency's Stormwater Management Model (SWMM Version 5) was used to simulate runoff volumes from the MLK and Gervais watersheds (Hung, James, Carbone, & Williams, 2020). The SWMM is an open-source computer model that simulates infiltration, surface runoff, and flow routing (Rossman, 2015).…”

Section: Model Settingsmentioning

confidence: 99%

Impacts of urban drainage systems on stormwater hydrology: Rocky Branch Watershed, Columbia, South Carolina

Ress

Hung

James

2020

J Flood Risk Management

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Increases in impervious surfaces and land-use changes associated with urbanization have long been the focus of urban hydrological research. However, studies and calculations that consider impervious surfaces alone do not encompass all factors that influence urban hydrologic response, as alternative urban structures may have a substantial effect on stormflow. This study examines several descriptors to improve estimations of hydrologic impacts of urbanization in small watersheds. Configurations of drainage densities that include storm sewers were computed for the highly urbanized Rocky Branch Watershed. Storm sewer configurations resulted in an approximate tripling of the drainage density. In addition, rainfall and stormflow data were analyzed to compare the hydrologic response of two subcatchments with varying percentages of impervious areas and drainage densities. The subcatchment with a higher percentage of impervious area produced significantly (p < .01) higher runoff volumes with an average runoff coefficient of 0.446, while the subcatchment with higher storm sewer densities displayed significantly shorter lag times of 9 min. In this case, the percentage of impervious area increased the volume of runoff but, storm sewer densities accelerated hydrologic responses, suggesting that hydrologically relevant metrics should be considered to accurate assess flood risk alternatives.

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Section: Model Settingsmentioning

confidence: 99%

Impacts of urban drainage systems on stormwater hydrology: Rocky Branch Watershed, Columbia, South Carolina

Ress

Hung

James

2020

J Flood Risk Management

Self Cite

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“…Parameter calibration is a critical step in model applications. However, manual calibration is still commonly adopted to calibrate the parameters of SWMM, and this calibration method can be time‐consuming and difficult to obtain a good performance (Hung et al., 2020; Mei et al., 2018). In this study, an autocalibration tool was integrated with SWMM using the genetic optimization algorithm (GA).…”

Section: Methodsmentioning

confidence: 99%

Simulation and Assessment of Projected Climate Change Impacts on Urban Flood Events: Insights From Flooding Characteristic Metrics

et al. 2022

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Urban flooding is a severe disaster with considerable casualties, economic losses, and social impacts worldwide (Georgi et al., 2016;Lin et al., 2018;Qiang, 2019). According to the European Environment Agency report on urban adaptations to climate change in 2016, flooding has caused massive losses of economic assets in many European cities. For example, the flood damage to the community services in Dresden, Germany in 2002 was approximately 80 million euros (Georgi et al., 2016). In the USA, New York City has been hit by several extreme rainfall events, and the massive flood that occurred in 2012 claimed 45 lives and caused more than $20 billion in flood-associated damage to the city's buildings and infrastructure (Yin, Lin, & Yu, 2016;. Urban flooding has also frequently occurred in many cities in China, resulting in traffic paralysis and the inundation of residential and public buildings. In 2016, severe flooding occurred in many of the southern cities in China, killing 300 people, forcing over half a million to evacuate, and causing over $44.7 billion in economic losses (Shepard, 2016). In the next few decades, flood damages in urban areas are likely to be aggravated due to global trends in urbanization and climate change (Kundzewicz et al., 2014).Analysis of urban flooding has been taken extensively over the past decade (Bates et al., 2010;Miller et al., 2014;Z. Yin et al., 2011). Previous studies usually adopted urban flood models (e.g., Storm Water Management Model: SWMM, MIKE URBAN, and InfoWorks CS) to explore different aspects of urban flooding and their influencing factors (

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“…Climate and LULC changes are expected to have interactive impacts on water availability [2,3]. Many studies have examined the impacts of climate and LULC changes on ecosystem health, streamflow, or water availability [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. In these studies, future climate trends are incorporated using simulated weather from downscaled global climate models (GCMs) or regional climate models (RCMs) driven by one or more emissions scenarios.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Future Climate and Land Use/Land Cover Change Impacts on Water Resources

Martin

2021

Hydrology

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Climate and land use and land cover (LULC) changes will impact watershed-scale water resources. These systemic alterations will have interacting influences on water availability. A probabilistic risk assessment (PRA) framework for water resource impact analysis from future systemic change is described and implemented to examine combined climate and LULC change impacts from 2011–2100 for a study site in west-central Texas. Internally, the PRA framework provides probabilistic simulation of reference and future conditions using weather generator and water balance models in series—one weather generator and water balance model for reference and one of each for future conditions. To quantify future conditions uncertainty, framework results are the magnitude of change in water availability, from the comparison of simulated reference and future conditions, and likelihoods for each change. Inherent advantages of the framework formulation for analyzing future risk are the explicit incorporation of reference conditions to avoid additional scenario-based analysis of reference conditions and climate change emissions scenarios. In the case study application, an increase in impervious area from economic development is the LULC change; it generates a 1.1 times increase in average water availability, relative to future climate trends, from increased runoff and decreased transpiration.

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Impacts of combined land-use and climate change on streamflow in two nested catchments in the Southeastern United States

Cited by 44 publications

References 68 publications

Impacts of urban drainage systems on stormwater hydrology: Rocky Branch Watershed, Columbia, South Carolina

Impacts of urban drainage systems on stormwater hydrology: Rocky Branch Watershed, Columbia, South Carolina

Simulation and Assessment of Projected Climate Change Impacts on Urban Flood Events: Insights From Flooding Characteristic Metrics

Risk Assessment of Future Climate and Land Use/Land Cover Change Impacts on Water Resources

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