Simulated irrigation reduction improves low flow in streams—A case study in the Lower Flint River Basin

Qi, Ji; Brantley, Steven T.; Golladay, Stephen W.

doi:10.1016/j.ejrh.2020.100665

Cited by 6 publications

(16 citation statements)

References 36 publications

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“…This implies that stormwater GIs can serve as a tool for stormwater retention and treatment for runoff from UA and can also provide wastewater retention and treatment for combined sewer overflows (CSOs). The water treated by stormwater GIs can be reused for non-potable water uses, including irrigation, cooling, and groundwater recharge [52][53][54].…”

Section: Managed Groundwater Recharge •mentioning

confidence: 99%

“…Combined sewer overflow constructed wetlands (CSO-CWLs) have been proposed to address this challenge. According to several researchers, CSO-CWLs can effectively purify CSOs [52][53][54][55]. According to Tonderaab [54], this type of stormwater GI can remove 85% of ammonia and carbonaceous Biochemical Oxygen Demand (BOD).…”

Section: Stormwater Management In a Circular Economymentioning

confidence: 99%

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Integrating Urban Agriculture and Stormwater Management in a Circular Economy to Enhance Ecosystem Services: Connecting the Dots

et al. 2021

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Due to the rapid urbanization in the context of the conventional linear economy, the vulnerability of the urban ecosystem to climate change has increased. As a result, connecting urban ecosystem services of different urban land uses is imperative for urban sustainability and resilience. In conventional land use planning, urban agriculture (UA) and urban stormwater management are treated as separate economic sectors with different-disconnected-ecosystem services. Furthermore, few studies have synthesized knowledge regarding the potential impacts of integration of UA and stormwater green infrastructures (GIs) on the quantity and quality of urban ecosystem services of both economic sectors. This study provides a detailed analysis of the imperative question—how should a city integrate the developments of both urban agriculture and stormwater green infrastructure to overcome barriers while enhancing the ecosystem services? To answer this question, we conducted an extensive literature review. The results show that integrating UA with GIs can enhance urban food production while protecting urban water quality. This paper provides an initial context and mechanisms for future researchers and city planners regarding the manner in which the synergies between UA and stormwater GIs can create greater value for the wellbeing of urban ecosystems and resilience in the circular economy.

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Section: Managed Groundwater Recharge •mentioning

confidence: 99%

Section: Stormwater Management In a Circular Economymentioning

confidence: 99%

Integrating Urban Agriculture and Stormwater Management in a Circular Economy to Enhance Ecosystem Services: Connecting the Dots

et al. 2021

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“…noaa.gov, 30-year average 1987-2016). The study period (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016) represented substantial variations in climate, including three multi-year droughts (1999-2001, 2006-2008 and 2010-2013) (Qi et al, 2020). Monthly rainfall averages about 110 mm (range 10-350 mm).…”

Section: Study Areamentioning

confidence: 99%

“…Although these values change from year to year, these percentages reflect long-term trends in land use typical in the region (Hook et al, 2005). We used the default SWAT auto irrigation operation, which bases irrigation quantity on climate and crop type, to simulate irrigation consumption in these land cover types (Arnold et al, 2013;Qi et al, 2020). The base SWAT model also uses land cover inputs to separate upland forests (as distinguished from forested wetlands) into two land cover types based on tree functional group dominance.…”

Section: Model Descriptionmentioning

confidence: 99%

“…For example, mixed pine-hardwood forests in this region tend to have higher leaf area index (LAI) and a relatively large component of evergreen or semi-deciduous oaks when compared to the forests represented in the default model (Table 1). Several parameters were adjusted for all forest land cover types to better represent forest structure and its effects on watershed function based on an earlier sensitivity analysis of the model (Qi et al, 2020). Parameter values were based on published literature (Ford et al, 2008) and on a working knowledge of the longleaf pine ecosystem and associated forests from long-term studies of forest structure within the watershed (S. Brantley, unpublished data).…”

Section: Model Descriptionmentioning

confidence: 99%

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Simulated longleaf pine (Pinus palustris Mill.) restoration increased streamflow—A case study in the Lower Flint River Basin

Brantley

Golladay

2021

Ecohydrology

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Water scarcity in the southeastern United States has increased in recent decades due to population growth, land use intensification and climate variability. Precipitation is relatively abundant, but declines in streamflow suggest a need to better manage water yield. Restoration of low-density, frequent-fire longleaf pine (Pinus palustris Mill.) woodlands, which once dominated the southeastern Coastal Plain, represents a possible strategy to increase water yield and mitigate water scarcity. The Flint River Basin has seen recent conflicts over water appropriations and lies within the historic range of longleaf pine. We used the Soil and Water Assessment Tool (SWAT) to evaluate the potential effect of longleaf pine restoration on streamflow in the Ichawaynochaway Creek, a major tributary of the Flint River. Parameters governing plant water use, for example, leaf area and leaf physiology, were adjusted to create a longleaf pine land cover. We simulated the conversion of $95,000 ha of existing forest to longleaf pine, an increase from 3% to 35% of landcover in the basin. Modelled evapotranspiration was lower for longleaf pine compared with other forest types in the region, and conversion to longleaf pine increased annual water yield by 17.9 ± 1.6 mm, or 5.2%. Proportional changes in monthly streamflow were up to 74% higher during low flow periods, when in-stream habitat is most vulnerable. Restoration of longleaf pine could be a promising way to mitigate water scarcity in the southeastern United States and adding flow during extreme droughts may prove vitally important for conserving imperilled aquatic organisms.

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Climate and environmental data contribute to the prediction of grain commodity prices using deep learning

Wang

French²,

James³

et al. 2023

J of Sust Agri & Env

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BackgroundGrain commodities are important to people's daily lives and their fluctuations can cause instability for households. Accurate prediction of grain prices can improve food and social security.Methods & MaterialsThis study proposes a hybrid Long Short‐Term Memory (LSTM)‐Convolutional Neural Network (CNN) model to forecast weekly oat, corn, soybean and wheat prices in the United States market. The LSTM‐CNN is a multivariate model that uses weather data, macroeconomic data, commodities grain prices and snow factors, including Snow Water Equivalent (SWE), snowfall and snow depth, to make multistep ahead forecasts.ResultsOf all the features, the snow factor is used for the first time for commodity price forecasting. We used the LSTM‐CNN model to evaluate the 5, 10, 15 and 20 weeks ahead forecasting and this hybrid model had the lowest Mean Squared Error (MSE) at 5, 10 and 15 weeks ahead of prediction. In addition, Shapley values were calculated to analyse the feature contribution of the LSTM‐CNN model when forecasting the testing set. Based on the feature contribution, SWE ranked third, fifth and seventh in feature importance in the 5‐week ahead forecast for corn, oats and wheat, respectively, and 7–8 places higher than total precipitation, indicating the potential use of SWE in grain price forecasting.ConclusionThe hybrid multivariate LSTM‐CNN model outperformed other models and the newly involved climate data, SWE, showed the research potential of using snow as an input variable to predict grain prices over a multistep ahead time horizon.

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Simulated irrigation reduction improves low flow in streams—A case study in the Lower Flint River Basin

Cited by 6 publications

References 36 publications

Integrating Urban Agriculture and Stormwater Management in a Circular Economy to Enhance Ecosystem Services: Connecting the Dots

Integrating Urban Agriculture and Stormwater Management in a Circular Economy to Enhance Ecosystem Services: Connecting the Dots

Simulated longleaf pine (Pinus palustris Mill.) restoration increased streamflow—A case study in the Lower Flint River Basin

Climate and environmental data contribute to the prediction of grain commodity prices using deep learning

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