TY - JOUR
T1 - Assessing the potential impacts of climate and land use change on water fluxes and sediment transport in a loosely coupled system
AU - Giri, Subhasis
AU - Arbab, Nazia N.
AU - Lathrop, Richard G.
N1 - Funding Information:
The research was supported by the Johnson Family Chair in Water Resources & Watershed Ecology and the Sustainable Raritan River Initiative at Rutgers University. We gratefully acknowledge the World Climate Research Programme's Working Group on Coupled Modeling, and we also gratefully thank the Climate Modeling Groups listed in Table S1 for producing and making available their model out. For CMIP the U.S. Department of Energy's Program for Cli-mate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Additionally, we would like to thank Mr. Srinivas Gaddam for helping in making some figures for this manuscript.
Funding Information:
The research was supported by the Johnson Family Chair in Water Resources & Watershed Ecology and the Sustainable Raritan River Initiative at Rutgers University. We gratefully acknowledge the World Climate Research Programme’s Working Group on Coupled Modeling, and we also gratefully thank the Climate Modeling Groups listed in Table S1 for producing and making available their model out. For CMIP the U.S. Department of Energy ’s Program for Cli-mate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Additionally, we would like to thank Mr. Srinivas Gaddam for helping in making some figures for this manuscript.
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/10
Y1 - 2019/10
N2 - Climate and land use change are the two primary factors that affect different components of hydrological cycle as well as sediment transport in the watershed. Quantifying potential impact of these two stressors enables decision makers to formulate better water resource management strategies to adapt to the changing environment. To that end, we have developed an integrated modeling framework employing an Agent-based approach to simulate land use conversion that then serves as input to the Soil and Water Assessment tool (SWAT) in a loosely coupled fashion. The modeling framework was tested on the Neshanic River Watershed (NRW), 142 km2 area in central New Jersey that contains mix of urban, agricultural and forested lands. An ensemble of 10 different global climate models (GCMs) for two different greenhouse gas emission scenarios including representative concentration pathways-4.5 and 8.5 (RCP-4.5 and 8.5) were employed to model future climate from 2020 to 2045. Land use conversion for 2040 was developed based on six driving factors including distance to residential lands, agricultural lands, roads, streams, train stations, and forest using three land use transition potential models and further, the best transition potential model accompanied with some local land use restrictions. The study evaluated various components of hydrological cycle and sediment transport for the three different scenarios one-at-a-time including climate change alone, land use change alone, and combined climate and land use change. Results indicate that the changing climate will have a larger effect on the hydrologic cycle than intensifying urban land uses in the study watershed. The climate change scenarios, either alone or in composite with land use change, predict higher streamflow (32% and 36% increase over baseline, respectively), overriding the effect of land use change which predicts a decline of 5% in streamflow. The increase in streamflow results in an increase in sediment loading, presumably due to an increase stream downcutting. Conversely, the effect of land use change (in this case the conversion of agricultural land to low density residential uses), is predicted to decrease sediment load. When modelled in composite, the effect of changing land use (in this case the conversion of erodible agricultural fields to suburban development) appears to override the adverse effect of climate change, enhancing watershed resiliency by reducing sediment load and thereby improving health of the downstream aquatic ecosystems.
AB - Climate and land use change are the two primary factors that affect different components of hydrological cycle as well as sediment transport in the watershed. Quantifying potential impact of these two stressors enables decision makers to formulate better water resource management strategies to adapt to the changing environment. To that end, we have developed an integrated modeling framework employing an Agent-based approach to simulate land use conversion that then serves as input to the Soil and Water Assessment tool (SWAT) in a loosely coupled fashion. The modeling framework was tested on the Neshanic River Watershed (NRW), 142 km2 area in central New Jersey that contains mix of urban, agricultural and forested lands. An ensemble of 10 different global climate models (GCMs) for two different greenhouse gas emission scenarios including representative concentration pathways-4.5 and 8.5 (RCP-4.5 and 8.5) were employed to model future climate from 2020 to 2045. Land use conversion for 2040 was developed based on six driving factors including distance to residential lands, agricultural lands, roads, streams, train stations, and forest using three land use transition potential models and further, the best transition potential model accompanied with some local land use restrictions. The study evaluated various components of hydrological cycle and sediment transport for the three different scenarios one-at-a-time including climate change alone, land use change alone, and combined climate and land use change. Results indicate that the changing climate will have a larger effect on the hydrologic cycle than intensifying urban land uses in the study watershed. The climate change scenarios, either alone or in composite with land use change, predict higher streamflow (32% and 36% increase over baseline, respectively), overriding the effect of land use change which predicts a decline of 5% in streamflow. The increase in streamflow results in an increase in sediment loading, presumably due to an increase stream downcutting. Conversely, the effect of land use change (in this case the conversion of agricultural land to low density residential uses), is predicted to decrease sediment load. When modelled in composite, the effect of changing land use (in this case the conversion of erodible agricultural fields to suburban development) appears to override the adverse effect of climate change, enhancing watershed resiliency by reducing sediment load and thereby improving health of the downstream aquatic ecosystems.
KW - Agent-based model
KW - Climate change
KW - Climate resiliency
KW - Hydrologic cycle
KW - Land use change
KW - Loosely Coupled Systems
KW - Representative concentration pathways
KW - Sediment load
KW - Soil and Water Assessment Tool
KW - Transition potential model
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U2 - 10.1016/j.jhydrol.2019.123955
DO - 10.1016/j.jhydrol.2019.123955
M3 - Article
AN - SCOPUS:85069672761
VL - 577
JO - Journal of Hydrology
JF - Journal of Hydrology
SN - 0022-1694
M1 - 123955
ER -