Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale
This study evaluated changes in climatic variable impacts on hydrology and water quality in Big Sunflower River Watershed (BSRW), Mississippi. Site-specific future time-series precipitation, temperature, and solar radiation data were generated using a stochastic weather generator LARS-WG model. For...
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2021
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oai:doaj.org-article:fa12ac47710840aca8bae96591c3bb642021-11-25T17:15:23ZEvaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale10.3390/cli91101652225-1154https://doaj.org/article/fa12ac47710840aca8bae96591c3bb642021-11-01T00:00:00Zhttps://www.mdpi.com/2225-1154/9/11/165https://doaj.org/toc/2225-1154This study evaluated changes in climatic variable impacts on hydrology and water quality in Big Sunflower River Watershed (BSRW), Mississippi. Site-specific future time-series precipitation, temperature, and solar radiation data were generated using a stochastic weather generator LARS-WG model. For the generation of climate scenarios, Representative Concentration Pathways (RCPs), 4.5 and 8.5 of Global Circulation Models (GCMs): Hadley Center Global Environmental Model (HadGEM) and EC-EARTH, for three (2021–2040, 2041–2060 and 2061–2080) future climate periods. Analysis of future climate data based on six ground weather stations located within BSRW showed that the minimum temperature ranged from 11.9 °C to 15.9 °C and the maximum temperature ranged from 23.2 °C to 28.3 °C. Similarly, the average daily rainfall ranged from 3.6 mm to 4.3 mm. Analysis of changes in monthly average maximum/minimum temperature showed that January had the maximum increment and July/August had a minimum increment in monthly average temperature. Similarly, maximum increase in monthly average rainfall was observed during May and maximum decrease was observed during September. The average monthly streamflow, sediment, TN, and TP loads under different climate scenarios varied significantly. The change in average TN and TP loads due to climate change were observed to be very high compared to the change in streamflow and sediment load. The monthly average nutrient load under two different RCP scenarios varied greatly from as low as 63% to as high as 184%, compared to the current monthly nutrient load. The change in hydrology and water quality was mainly attributed to changes in surface temperature, precipitation, and stream flow. This study can be useful in the development and implementation of climate change smart management of agricultural watersheds.Prem B. ParajuliAvay RisalMDPI AGarticleclimate changeRCP scenarioGlobal Circulation Modelhydrologywater qualityScienceQENClimate, Vol 9, Iss 165, p 165 (2021) |
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climate change RCP scenario Global Circulation Model hydrology water quality Science Q |
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climate change RCP scenario Global Circulation Model hydrology water quality Science Q Prem B. Parajuli Avay Risal Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale |
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This study evaluated changes in climatic variable impacts on hydrology and water quality in Big Sunflower River Watershed (BSRW), Mississippi. Site-specific future time-series precipitation, temperature, and solar radiation data were generated using a stochastic weather generator LARS-WG model. For the generation of climate scenarios, Representative Concentration Pathways (RCPs), 4.5 and 8.5 of Global Circulation Models (GCMs): Hadley Center Global Environmental Model (HadGEM) and EC-EARTH, for three (2021–2040, 2041–2060 and 2061–2080) future climate periods. Analysis of future climate data based on six ground weather stations located within BSRW showed that the minimum temperature ranged from 11.9 °C to 15.9 °C and the maximum temperature ranged from 23.2 °C to 28.3 °C. Similarly, the average daily rainfall ranged from 3.6 mm to 4.3 mm. Analysis of changes in monthly average maximum/minimum temperature showed that January had the maximum increment and July/August had a minimum increment in monthly average temperature. Similarly, maximum increase in monthly average rainfall was observed during May and maximum decrease was observed during September. The average monthly streamflow, sediment, TN, and TP loads under different climate scenarios varied significantly. The change in average TN and TP loads due to climate change were observed to be very high compared to the change in streamflow and sediment load. The monthly average nutrient load under two different RCP scenarios varied greatly from as low as 63% to as high as 184%, compared to the current monthly nutrient load. The change in hydrology and water quality was mainly attributed to changes in surface temperature, precipitation, and stream flow. This study can be useful in the development and implementation of climate change smart management of agricultural watersheds. |
format |
article |
author |
Prem B. Parajuli Avay Risal |
author_facet |
Prem B. Parajuli Avay Risal |
author_sort |
Prem B. Parajuli |
title |
Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale |
title_short |
Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale |
title_full |
Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale |
title_fullStr |
Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale |
title_full_unstemmed |
Evaluation of Climate Change on Streamflow, Sediment, and Nutrient Load at Watershed Scale |
title_sort |
evaluation of climate change on streamflow, sediment, and nutrient load at watershed scale |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/fa12ac47710840aca8bae96591c3bb64 |
work_keys_str_mv |
AT prembparajuli evaluationofclimatechangeonstreamflowsedimentandnutrientloadatwatershedscale AT avayrisal evaluationofclimatechangeonstreamflowsedimentandnutrientloadatwatershedscale |
_version_ |
1718412628336836608 |