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- W2984303722 endingPage "124311" @default.
- W2984303722 startingPage "124311" @default.
- W2984303722 abstract "There is a growing scientific consensus on climate change and its impact on catchment scale hydrologic and water quality processes. Therefore, it is not only important to understand the impact of climate change but also necessary to formulate adaptation strategies to negate the effect of climate change. To this end, we have developed a hydrologic modeling framework (Soil and Water Assessment Tool) concomitant with Analytical Hierarchical Process (AHP) to develop individual as well as composite climate vulnerability index in a Southern New Jersey Watershed. Three agricultural BMPs including cover crop, filter strip, and no till were examined to determine their ability to negate the climate change impact on water fluxes and water quality in the watershed. Downscaled projected temperature and precipitation from six General Circulation Models (GCMs) for moderate and high emission scenarios (RCP-4.5 and 8.5, respectively) from the latest suite of Coupled Model Intercomparison Project Phase 5 (CMIP5) were incorporated in to the hydrologic model. Overall, results suggested an increase in temperature and precipitation under climate change scenarios leading to rise in surface runoff, streamflow, sediment and TP load relative to baseline scenario. Highly vulnerable areas to flooding, sedimentation and eutrophication under climate change using AHP framework were standout from other types of vulnerable areas in the watershed due to presence of excess impervious surface, higher percentage of agricultural lands, and increased sediment and organic phosphorus, respectively. When agricultural BMPs were implemented in corn and soybean fields located inside critical source areas (CSAs) under climate change scenarios, BMPs showed little to no effect towards reduction of water fluxes while they reduced maximum 2% and 12% of sediment and TP, respectively, compared to no BMP under climate change scenario. Further, as the BMP were incorporated in all corn and soybean fields in the watershed, the maximum sediment and TP reduction increased to 8% and 44%, respectively. The study outcomes suggests that climate change will increase the water fluxes as well as pollution load in the watershed, however, BMPs can be used to negate the water quality impact due to climate change." @default.
- W2984303722 created "2019-11-22" @default.
- W2984303722 creator A5044454075 @default.
- W2984303722 creator A5063355628 @default.
- W2984303722 creator A5086896029 @default.
- W2984303722 date "2020-01-01" @default.
- W2984303722 modified "2023-09-30" @default.
- W2984303722 title "Climate change vulnerability assessment and adaptation strategies through best management practices" @default.
- W2984303722 cites W1101061393 @default.
- W2984303722 cites W1491477773 @default.
- W2984303722 cites W1517997919 @default.
- W2984303722 cites W1518163169 @default.
- W2984303722 cites W1529050680 @default.
- W2984303722 cites W1607420843 @default.
- W2984303722 cites W1972581636 @default.
- W2984303722 cites W1973955797 @default.
- W2984303722 cites W1975937534 @default.
- W2984303722 cites W1983724666 @default.
- W2984303722 cites W1988326011 @default.
- W2984303722 cites W1995113895 @default.
- W2984303722 cites W2007141676 @default.
- W2984303722 cites W2015614432 @default.
- W2984303722 cites W2017559255 @default.
- W2984303722 cites W2021998520 @default.
- W2984303722 cites W2028751420 @default.
- W2984303722 cites W2030866102 @default.
- W2984303722 cites W2039109399 @default.
- W2984303722 cites W2039874547 @default.
- W2984303722 cites W2040094443 @default.
- W2984303722 cites W2042754280 @default.
- W2984303722 cites W2058998445 @default.
- W2984303722 cites W2063020536 @default.
- W2984303722 cites W2063440604 @default.
- W2984303722 cites W2063468223 @default.
- W2984303722 cites W2064828954 @default.
- W2984303722 cites W2065205418 @default.
- W2984303722 cites W2075645229 @default.
- W2984303722 cites W2079263979 @default.
- W2984303722 cites W2089027137 @default.
- W2984303722 cites W2094239674 @default.
- W2984303722 cites W2110503600 @default.
- W2984303722 cites W2120889976 @default.
- W2984303722 cites W2124125124 @default.
- W2984303722 cites W2126718509 @default.
- W2984303722 cites W2133446467 @default.
- W2984303722 cites W2135647266 @default.
- W2984303722 cites W2146577723 @default.
- W2984303722 cites W2153371941 @default.
- W2984303722 cites W2171947434 @default.
- W2984303722 cites W2172380339 @default.
- W2984303722 cites W2175360117 @default.
- W2984303722 cites W2322506044 @default.
- W2984303722 cites W2416519000 @default.
- W2984303722 cites W2462936392 @default.
- W2984303722 cites W2502146694 @default.
- W2984303722 cites W2507362048 @default.
- W2984303722 cites W2507852984 @default.
- W2984303722 cites W2509831143 @default.
- W2984303722 cites W2512449142 @default.
- W2984303722 cites W2553414049 @default.
- W2984303722 cites W2568987461 @default.
- W2984303722 cites W2590320925 @default.
- W2984303722 cites W2594752398 @default.
- W2984303722 cites W2613546604 @default.
- W2984303722 cites W2619239515 @default.
- W2984303722 cites W2621356456 @default.
- W2984303722 cites W2664676818 @default.
- W2984303722 cites W2727711729 @default.
- W2984303722 cites W2732846283 @default.
- W2984303722 cites W2735371427 @default.
- W2984303722 cites W2765641636 @default.
- W2984303722 cites W2771422946 @default.
- W2984303722 cites W2781646241 @default.
- W2984303722 cites W2790020479 @default.
- W2984303722 cites W2792887250 @default.
- W2984303722 cites W2797669867 @default.
- W2984303722 cites W2803203902 @default.
- W2984303722 cites W2804185321 @default.
- W2984303722 cites W2804613706 @default.
- W2984303722 cites W2804858022 @default.
- W2984303722 cites W2890688813 @default.
- W2984303722 cites W2892275081 @default.
- W2984303722 cites W2894496981 @default.
- W2984303722 cites W2894820797 @default.
- W2984303722 cites W2896861049 @default.
- W2984303722 cites W2898140876 @default.
- W2984303722 cites W2904231191 @default.
- W2984303722 cites W2956323442 @default.
- W2984303722 cites W4233283252 @default.
- W2984303722 doi "https://doi.org/10.1016/j.jhydrol.2019.124311" @default.
- W2984303722 hasPublicationYear "2020" @default.
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