Featured Series Introduction: <scp>SWAT</scp> Applications for Emerging Hydrologic and Water Quality Challenges

Merwade, Venkatesh; Baffaut, Claire; Bieger, Katrin; Boithias, Laurie; Rathjens, Hendrik

doi:10.1111/1752-1688.12486

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…This is especially true when managers need to decide about land purchasing and conservation practices oriented toward maximization of water yield. The Soil and Water Assessment Tool model (SWAT) has become a well-known and globally used model to study hydrologic processes within watersheds and to evaluate their water availability and quality under present and future conditions [30][31][32][33]. Many SWAT studies are dedicated to analyzing a hydrologic response under these changing conditions [4,[34][35][36][37]; however, most of them have been carried out in regions other than tropical South America (Brazil being an exception [38]).…”

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confidence: 99%

The Effects of Land Use and Climate Change on the Water Yield of a Watershed in Colombia

Villamizar

Pineda

Carrillo

2019

Water

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Land use and climate are two determinant factors of water yield within a watershed. Understanding the effects of these two variables is key for the decision-making process within watersheds. Hydrologic modeling can be used for this purpose and the integration of future climate scenarios to calibrated models widens the spectrum of analysis. Such types of studies have been carried out in many areas of the world, including the Amazon Basin of South America. However, there is a lack of understanding on the effect of land use/land cover and climate change on Andean watersheds of this continent. Our study focused on the evaluation of water yield under different land use and climate scenarios using the semi-distributed hydrological model known as the Soil and Water Assessment Tool (SWAT) model. We worked on the Tona watershed (Colombia, South America), the most important source of water for a metropolitan population. Our results compared water yield estimates for historical conditions (1987–2002) with those of future combined scenarios for land use and climate for the 2006–2050 period. The modeling effort produced global estimates of water yield (average annual values) and, at the subwatershed level, identified strategic areas on which the protection and conservation activities of water managers can be focused.

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The Effects of Land Use and Climate Change on the Water Yield of a Watershed in Colombia

Villamizar

Pineda

Carrillo

2019

Water

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“…At present, soil moisture data are obtained through three main methods: (1) Simulating soil moisture using land surface process models and hydrological models [10][11][12]. (2) Measuring soil moisture through ground meteorological observatories [13].…”

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confidence: 99%

Novel Soil Moisture Estimates Combining the Ensemble Kalman Filter Data Assimilation and the Method of Breeding Growing Modes

Hong

Mousa

et al. 2020

Remote Sensing

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Soil moisture plays an important role in climate prediction and drought monitoring. Data assimilation, as a method of integrating multi-geographic spatial data, plays an increasingly important role in estimating soil moisture. Model prediction error, an important part of the background field information, occupies a position that could not be ignored in data assimilation. The model prediction error in data assimilation consists of three parts: forcing data error, initial field error, and model error. However, the influence of model error in current data assimilation methods has not been completely considered in many studies. Therefore, we proposed a theoretical framework of the ensemble Kalman filter (EnKF) data assimilation based on the breeding of growing modes (BGM) method. This framework used the BGM method to perturb the initial field error term w of EnKF, and the EnKF data assimilation to assimilate the data to obtain the soil moisture analysis value. The feasibility and superiority of the proposed framework were verified, taking into consideration breeding length and ensemble size through experiments. We conducted experiments and evaluated the accuracy of the BGM and the Monte Carlo (MC) methods. The experiment showed that the BGM method could improve the estimation accuracy of the assimilated soil moisture and solve the problem of model error which is not fully expressed in data assimilation. This study can be widely used in data assimilation and has a significant role in weather forecast and drought monitoring.

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Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications

et al. 2019

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Large-scale distributed watershed models are data-intensive, and preparing them consumes most of the research resources. We prepared high-resolution global databases of soil, landuse, actual evapotranspiration (AET), and historical and future weather databases that could serve as standard inputs in Soil and Water Assessment Tool (SWAT) models. The data include two global soil maps and their associated databases calculated with a large number of pedotransfer functions, two landuse maps and their correspondence with SWAT’s database, historical and future daily temperature and precipitation data from five IPCC models with four scenarios; and finally, global monthly AET data. Weather data are 0.5° global grids text-formatted for direct use in SWAT models. The AET data is formatted for use in SWAT-CUP (SWAT Calibration Uncertainty Procedures) for calibration of SWAT models. The use of these global databases for SWAT models can speed up the model building by 75–80% and are extremely valuable in areas with limited or no physical data. Furthermore, they can facilitate the comparison of model results in different parts of the world.

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Featured Series Introduction: SWAT Applications for Emerging Hydrologic and Water Quality Challenges

Cited by 3 publications

References 17 publications

The Effects of Land Use and Climate Change on the Water Yield of a Watershed in Colombia

The Effects of Land Use and Climate Change on the Water Yield of a Watershed in Colombia

Novel Soil Moisture Estimates Combining the Ensemble Kalman Filter Data Assimilation and the Method of Breeding Growing Modes

Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications

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