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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Autores principales: Prem B. Parajuli, Avay Risal
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic climate change
RCP scenario
Global Circulation Model
hydrology
water quality
Science
Q
spellingShingle 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
description 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
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