2020
DOI: 10.3390/w12020410
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Comparative Analysis of Bioenergy Crop Impacts on Water Quality Using Static and Dynamic Land Use Change Modeling Approach

Abstract: Researchers and federal and state agency officials have long been interested in evaluating location-specific impact of bioenergy energy crops on water quality for developing policy interventions. This modeling study examines long-term impact of giant miscanthus and switchgrass on water quality in the Cache River Watershed (CRW) in Arkansas, United States. The bioenergy crops were simulated on marginal lands using two variants of a Soil and Watershed Assessment Tool (SWAT) model. The first SWAT variant was deve… Show more

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Cited by 6 publications
(2 citation statements)
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References 49 publications
(71 reference statements)
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“…Land use data play a pivotal role in developing the SWAT model, as they significantly impact the hydrological mechanisms by which precipitation induces runoff on land surfaces [26][27][28][29]. The land use data utilized in this study were sourced from the Data Platform of Resource and Environment Science and Data Center of Chinese Academy of Sciences (http://www.resdc.cn, accessed on 21 January 2024).…”
Section: Land Usementioning
confidence: 99%
“…Land use data play a pivotal role in developing the SWAT model, as they significantly impact the hydrological mechanisms by which precipitation induces runoff on land surfaces [26][27][28][29]. The land use data utilized in this study were sourced from the Data Platform of Resource and Environment Science and Data Center of Chinese Academy of Sciences (http://www.resdc.cn, accessed on 21 January 2024).…”
Section: Land Usementioning
confidence: 99%
“…During the process of photosynthesis of the plant, sucrose, minerals and hormones are carried using water to complete the production process for crops. In severe water stress cases, the grain yield decreases by the end of the agricultural season, and thus the occurrence of severe water stress is very important to complete the modeling process for field crops (Cotter et al 2003;Bell et al 2007;Sheaffer and Moncada 2008;Singh and Kumar 2017) and other simulation model studies -SWAT model implemented by Leh et al (2018) and Kumar et al (2020).…”
Section: Introductionmentioning
confidence: 99%