Improving the SWAT forest module for enhancing water resource projections: A case study in the <scp>St. Croix River</scp> basin

Yang, Qichun; Almendinger, James E.; Huang, Maoyi; Leng, Guoyong; Zhou, Yuyu; Zhao, Kaiguang; Asrar, Ghassem; Li, Xia; Qiu, Jiali

doi:10.1002/hyp.13370

Cited by 16 publications

(5 citation statements)

References 62 publications

(104 reference statements)

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“…The soil and water assessment tool (SWAT) ecohydrological models have a strong physical mechanism, which simulating and analyzing the temporal and spatial changes of hydrological processes such as interception, evapotranspiration, infiltration, surface runoff and groundwater runoff from the time scale of a year, month and day [33][34][35]. Moreover, the SWAT can reflect the spatiotemporal variability of climate factors and the underlying surface and has been widely applied in the research of forest hydrology [36,37]. Therefore, the combination of the SWAT model and water balance method can quantitatively analyze the multitime scale characteristics of forest water conservation [38].…”

Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Evaluation of Forest Water Conservation Function in the Semiarid Mountains Area

Cao

Yang

2021

Forests

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Forest water conservation function is an important part of forest ecosystem services. The discontinuous distribution of forests in semiarid areas brings difficulties to the quantitative evaluation of forest water conservation functions at the basin scale. In this paper, we took the upstream of Xiong’an New Area (Zijingguan—ZJG, Zhongtangmei—ZTM and Fuping—FP basins) as an example and combine the soil and water assessment tool (SWAT) and the water balance method to calculate the amount of forest water conservation (AFWC) at annual, monthly and daily scales from 2007 to 2017, and analyzed the changes of AFWC. The results showed that the hydrological response unit (HRU) generated with the threshold area zero can accurately reflect the forest patch distribution in the three basins. On an annual scale, the annual AFWC were all positive in ZJG and ZTM basins from 2007 to 2017. While, the annual AFWC in the FP basin was negative in 2009, 2013, 2014 and 2017. On a monthly scale, the positive values of AFWC mainly appear from June to September, and the negative values of AFWC mainly appear from December to March. On a daily scale, the AFWC during extreme precipitation was positive, while that was negative during extreme drought. The annual and monthly AFWC in the three basins was positively correlated with the wetness index, and FP basin needs more humid climate conditions than ZJG and ZTM basins to make the forest store water and keep in a stable water storage state. The above results can not only provide important insight into sustainable forest and water resources management in the region, but also serve as reference cases for other regions to carry out relevant research work.

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Section: Introductionmentioning

confidence: 99%

Multi-Time Scale Evaluation of Forest Water Conservation Function in the Semiarid Mountains Area

Cao

Yang

2021

Forests

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“…The results focus on three key water balance terms: ET, water yield, and amount of water in the soil profile. We used CO 2 concentrations of 330 ppm for the base period (Jha et al 2006;Wu et al 2012), 490 (RCP4.5) and 575 ppm (RCP8.5) for the mid-century period, and 522 (RCP4.5) and 838 ppm (RCP8.5) for the end-century period (Yang et al 2018). The base conditions (base period), mid-century and end-century are defined as the 1961-2000, 2046-2065, and 2081-2099 time periods, respectively.…”

Section: Downscaled Future Climate Datamentioning

confidence: 99%

“…The average atmospheric CO 2 concentrations were obtained from the literature. We used CO 2 concentrations of 330 ppm for the base period (Jha et al 2006;Wu et al 2012), 490 (RCP4.5) and 575 ppm (RCP8.5) for the mid-century period, and 522 (RCP4.5) and 838 ppm (RCP8.5) for the end-century period (Yang et al 2018). Unavailable weather data for historical simulations and future projections such as humidity, solar radiation, and wind speed were generated by the SWAT weather generator file (Arnold et al 2012).…”

Section: Journal Of the American Water Resources Associationmentioning

confidence: 99%

Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

Ercan¹,

Maghami

Bowes

et al. 2019

J American Water Resour Assoc

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Research Impact Statement: The results of this study can aid planning for the RTP's future hydrologic and water supply conditions and expand the knowledge of local impacts of climate change on critical watersheds.ABSTRACT: Climate change poses water resource challenges for many already water stressed watersheds throughout the world. One such watershed is the Upper Neuse Watershed in North Carolina, which serves as a water source for the large and growing Research Triangle Park region. The aim of this study was to quantify possible changes in the watershed's water balance due to climate change. To do this, we used the Soil and Water Assessment Tool (SWAT) model forced with different climate scenarios for baseline, mid-century, and end-century time periods using five different downscaled General Circulation Models. Before running these scenarios, the SWAT model was calibrated and validated using daily streamflow records within the watershed. The study results suggest that, even under a mitigation scenario, precipitation will increase by 7.7% from the baseline to mid-century time period and by 9.8% between the baseline and end-century time period. Over the same periods, evapotranspiration (ET) would decrease by 5.5 and 7.6%, water yield would increase by 25.1% and 33.2%, and soil water would increase by 1.4% and 1.9%. Perhaps most importantly, the model results show, under a high emission scenario, large seasonal differences with ET estimated to decrease by up to 42% and water yield to increase by up to 157% in late summer and fall. Planning for the wetter predicted future and corresponding seasonal changes will be critical for mitigating the impacts of climate change on water resources.(

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“…Evaluations for all times forecasted that the maximum and the minimum temperatures will rise to 6.6 and 2.99 • C in Representative Concentration Pathway (RCP) scenarios and rainfall in all periods raised by 40.32% and +40%, respectively. Young et al 23 studied the development of forest modeling by the SWAT model to increase the accuracy of water resource prediction in the St.…”

Section: Introductionmentioning

confidence: 99%

“…Young et al 23 studied the development of forest modeling by the SWAT model to increase the accuracy of water resource prediction in the St. Croix River Watershed and concluded that SWAT forest ecosystem characterization in water prediction, sedimentation, and nutrient delivery from the river improved the results.…”

Section: Introductionmentioning

confidence: 99%

Using an optimized soil and water assessment tool by deep belief networks to evaluate the impact of land use and climate change on water resources

Khayatnezhad

Youssefi

2022

Concurrency and Computation

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This article investigates the negative effect of land use and climate changes on water resources by the SWAT and SWAT-DEEP\LMSFO model. Due to the importance of runoff impact on water resources in this article, the hybrid hydrological-deep neural networks optimized by the improved SFO based on logistic map (LMSFO) algorithm have been used to provide more accurate results for runoff estimation. This method improves runoff simulation. Firstly, runoff under the influence of land use and climate change is estimated by the SWAT model. Once again, runoff is estimated by the SWAT-DEEP/LMSFO model. In the DEEP/LMSFO model, the primary runoff has been estimated by an un-calibrated SWAT model. Then the Primary runoff simulated is entered as an input into the DEEP model. Finally, the runoff is estimated by a test-training method. The results of the SWAT model and the DEEP/LMSFO model show that there is an inverse correlation between land use so that reducing land cover increases runoff. The results show that climate change and land-use change can affect annual runoff changes in the coming years.

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Improving the SWAT forest module for enhancing water resource projections: A case study in the St. Croix River basin

Cited by 16 publications

References 62 publications

Multi-Time Scale Evaluation of Forest Water Conservation Function in the Semiarid Mountains Area

Multi-Time Scale Evaluation of Forest Water Conservation Function in the Semiarid Mountains Area

Estimating Potential Climate Change Effects on the Upper Neuse Watershed Water Balance Using the SWAT Model

Using an optimized soil and water assessment tool by deep belief networks to evaluate the impact of land use and climate change on water resources

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