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Assessing the impacts of climate and...

Dakhlalla, Abdullah Oda.

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Assessing the impacts of climate and land use changes on water quantity and quality in Mississippi.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Assessing the impacts of climate and land use changes on water quantity and quality in Mississippi./
作者:	Dakhlalla, Abdullah Oda.
面頁冊數:	192 p.
附註:	Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.
Contained By:	Dissertation Abstracts International77-09B(E).
標題:	Hydrologic sciences. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10100373
ISBN:	9781339642888

Assessing the impacts of climate and land use changes on water quantity and quality in Mississippi.
Dakhlalla, Abdullah Oda.

Assessing the impacts of climate and land use changes on water quantity and quality in Mississippi. - 192 p.

Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.

Thesis (Ph.D.)--Mississippi State University, 2016.

This study used the Soil and Water Assessment Tool (SWAT) to model 2 watersheds in Mississippi, which are the Lower Pearl River Watershed (LPRW) and the Big Sunflower River Watershed (BSRW), to simulate streamflow, groundwater storage and recharge, sediments, nutrients, and bacteria transport. The LPRW model was calibrated and validated for daily streamflow at 4 locations with R2 ranging from 0.49 to .90 and Nash-Sutcliffe Efficiency (NSE) ranging from 0.49 to 0.84. In the BSRW, the model showed good to very good performance for daily streamflow simulation (R2 = 0.53-0.75 and NSE = 0.49-0.72) and seasonal groundwater table depth fluctuations (R 2 = 0.76 to 0.86 and NSE = 0.71-0.79). The BSRW model was also calibrated and validated for total sediment (TS) load (R2 = 0.50-0.72, NSE = 0.47-0.66), total phosphorus (TP) load (R2 = 0.79-0.82, NSE = 0.73-0.77), and fecal coliform bacteria concentrations (R 2 = 0.56-0.60 and NSE = 0.23-0.40).

ISBN: 9781339642888Subjects--Topical Terms:

3168407
Hydrologic sciences.

Assessing the impacts of climate and land use changes on water quantity and quality in Mississippi.
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245 1 0 $a Assessing the impacts of climate and land use changes on water quantity and quality in Mississippi.
300 $a 192 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.
500 $a Adviser: Prem B. Parajuli.
502 $a Thesis (Ph.D.)--Mississippi State University, 2016.
520 $a This study used the Soil and Water Assessment Tool (SWAT) to model 2 watersheds in Mississippi, which are the Lower Pearl River Watershed (LPRW) and the Big Sunflower River Watershed (BSRW), to simulate streamflow, groundwater storage and recharge, sediments, nutrients, and bacteria transport. The LPRW model was calibrated and validated for daily streamflow at 4 locations with R2 ranging from 0.49 to .90 and Nash-Sutcliffe Efficiency (NSE) ranging from 0.49 to 0.84. In the BSRW, the model showed good to very good performance for daily streamflow simulation (R2 = 0.53-0.75 and NSE = 0.49-0.72) and seasonal groundwater table depth fluctuations (R 2 = 0.76 to 0.86 and NSE = 0.71-0.79). The BSRW model was also calibrated and validated for total sediment (TS) load (R2 = 0.50-0.72, NSE = 0.47-0.66), total phosphorus (TP) load (R2 = 0.79-0.82, NSE = 0.73-0.77), and fecal coliform bacteria concentrations (R 2 = 0.56-0.60 and NSE = 0.23-0.40).
520 $a In the LPRW, the effectiveness of grassed waterways, detention ponds, and parallel terraces Best Management Practices (BMPs) to attenuate peak streamflow decreases significantly under increased rainfall and under increased CO2 concentration climate change scenarios; however, under increased temperature or decreased rainfall, the effectiveness of BMPs to reduce peak streamflows did not significantly change. In the BSRW, implementing crop rotations practices with rice resulted in the lowest groundwater storage (-10.7%), but it also led to the highest increases in monthly groundwater recharge (up to +60.1%). The crop rotations with corn and cotton usually resulted in the largest increases in groundwater storage (up to +27.2%). The BSRW was modeled to assess the sensitivity of bacteria concentrations to climate change, and this study determined that bacteria concentrations were most sensitive to rainfall, followed by temperature, solar radiation, and CO2 concentrations. The BSRW model also showed significant parameter uncertainty in the streamflow, TS load, TP load, and total nitrogen (TN) load simulations, and that equifinal parameter sets exist in the model. Moreover, the SWAT parameters that were sensitive to streamflow were also found to be sensitive to sediment and nutrient transport.
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650 4 $a Water resources management. $3 794747
650 4 $a Environmental engineering. $3 548583
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710 2 $a Mississippi State University. $b Agricultural and Biological Engineering. $3 1022298
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