Sensitivity of evapotranspiration to climate change using DSSAT model in sub humid climate region of Eastern Uttar Pradesh

Tyagi, Shoobhangi; Singh, Nidhi; Sonkar, Geetika; Mall, R. K.

doi:10.1007/s40808-018-0513-2

Cited by 18 publications

(5 citation statements)

References 48 publications

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“…Future work may be performed by enhancing the output compared. In addition, the data being compared are not limited to Land Use and DEM, as appropriate soil and meteorological data play a significant role in SWAT modeling (Tyagi et al, 2019;Krpec et al, 2020). Apart from that, further research also needs to compare the computation time of each SWAT model because not all developing countries have the hardware capable of carrying out spatial modeling, such as SWAT, for watershed management.…”

Section: Resultsmentioning

confidence: 99%

Comparison of SWAT-based Ecohydrological Modeling in the Rawa Pening Catchment Area, Indonesia

Amalia,

Fariz,

Lutfiananda

et al. 2024

JPII

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The Soil and Water Assessment Tool (SWAT) is an ecohydrological model widely applied to assess water quality and watershed management. This tool also has the advantage of building watershed models even with limited monitoring data availability. The essential data required by this tool includes digital elevation models (DEM), land use maps, climate data, and soil data. Nonetheless, the availability of spatial data is still often a challenge in developing hydrological models, especially in developing countries such as Indonesia. This research will compare the accuracy of freely available data in Indonesia in facilitating the development of hydrological models from SWAT in the Rawa Pening catchment area. This research is crucial since Rawa Pening Lake is a priority lake for revitalization, so the research results will help provide suggestions regarding presenting data in SWAT modeling. This research compares SWAT models built from different land use and DEM (Digital Elevation Models) data. The land use data being compared is the result of processing from the Google Earth Engine (GEE) platform using machine learning with land use data from government agencies, namely the Ministry of Environment and Forestry, while the DEM data being compared is SRTM and DEMNAS data. The validation results using R, R2, RMSE, and NSE show that, in general, the model built from land use from GEE is the best compared to the other models. In modeling SWAT in Indonesia, we recommend using good-quality land-use data. Utilizing supervised classification through Random Forest (RF) algorithms within GEE can facilitate the acquisition of this data. To reduce computation time, the DEM can be SRTM with a small sacrifice of accuracy.

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Section: Resultsmentioning

confidence: 99%

Comparison of SWAT-based Ecohydrological Modeling in the Rawa Pening Catchment Area, Indonesia

Amalia,

Fariz,

Lutfiananda

et al. 2024

JPII

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“…Evapotranspiration has decreased in different climatic regions around the world. This includes the dry climate region of the United States (Harper et al 2014), the humid climate region of Eastern Uttar Pradesh (Tyagi et al 2019), the tropical and subtropical climate zone of China and Korea (Zhao et al 2015;Jeon et al 2018), and the arid and semi-arid climate of Iran (Biazar et al 2019). This decrease in evapotranspiration in the face of rising temperatures is known as the "evaporation paradox" (Brutsaert and Parlange 1998).…”

Section: Introductionmentioning

confidence: 99%

Quantitative exploration of the innovative trend method for evapotranspiration and its sensitivity to climatic parameters: The case study in Southeast Vietnam

Ha,

Phuong,

Anh

et al. 2023

Preprint

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Understanding the characteristics and correlations between evapotranspiration and climate variables plays a crucial role in determining the probable impact of critical factors on crop water requirements, water resource management, and future planning. This work aims to evaluate the temporal trends of evapotranspiration and its sensitivity to climate variables from 1980 to 2019 in Southeast, Vietnam. The improved Innovative Şen Trend Analysis method was used to identify trends, and the Sobol technique, based on variance-based analysis, allowed for a rapid calculation of sensitivity indices. By estimating the changes in evapotranspiration, the study confirmed different quantitative trends, including a significant increase of 72–135 mm in annual and 12–84 mm in seasonal evapotranspiration. Results also conducted a sensitivity analysis of the historical meteorological quantiles obtained for three climate stations to analyze the sensitivity indices. The sensitivity analysis showed that evapotranspiration is more sensitive to solar radiation, relative humidity, and minimum temperature. The study presents pragmatic approaches for considering the possible interactions between evapotranspiration and climate variables, which may serve as a baseline for sustainable water management in areas with similar climate conditions and adaptation to climate change.

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“…A decreasing trend in DTR and a negative association with mortality was evident in a study from India (Singh et al ., 2019). The health and agronomic impacts are often regional, and additional studies have been sought (Lee et al ., 2017; Mall et al ., 2017; Tyagi et al ., 2019; Singh et al ., 2020b; Singh et al ., 2021).…”

Section: Introductionmentioning

confidence: 99%

Evidence of asymmetric change in diurnal temperature range in recent decades over different agro‐climatic zones of India

Mall

Chaturvedi

Singh

et al. 2021

Intl Journal of Climatology

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Diurnal temperature range (DTR) is an important indicator of climatic change and a critical thermal metric to assess the impact on agriculture and human health. This study investigates the seasonal, annual and decadal changes in the spatio‐temporal trend in DTR and air temperatures (maximum: Tmax and minimum: Tmin) during 1951–2016 and solar radiation (Srad) during 1984–2016 over 14 different agro‐climatic zones (ACZs) in India. The changes in the DTR trend between two time periods:1951–2016 and 1991–2016 (recent period) are also assessed. The results indicate an overall increasing trend in DTR (0.038°C/decade), Tmax (0.078°C/decade, significant), Tmin (0.049°C/decade) during 1951–2016 and Srad (0.10 MJ/m2/day/decade) during 1984–2016. However, a decreasing trend in DTR (−0.02°C/decade) and a significant increasing trend in Tmin (0.210°C/decade) was noted during 1991–2016. The decadal changes showed an evident decline in DTR during the recent period since 1991. The relative increase in Tmin (0.21°C/decade, significant) compared to Tmax (0.18°C/decade) resulted in a decreasing DTR trend. This was evident across the 5 out of the 14 agro‐climatic zones for the 1991–2016 period. The seasonal analysis showed a significant (95%) increasing trend in DTR during pre‐monsoon and monsoon (1951–2016), and a negative trend for the post‐monsoon and monsoon since 1991. There were also interesting spatial differences found with the ACZs in the north‐west, parts of Gangetic plain, north‐east, and central India exhibiting negative DTR trends. The effect of Srad is larger on Tmax than Tmin; therefore, the decrease in Srad in parts of Gangetic plain likely contributed to a smaller increase in Tmax relative to Tmin and led to a decreasing trend in DTR. At the same time, the west coast, east coast, and southern region show positive trends. The observational analysis finds a distinct increase in the Tmin and also highlights the need for future assessments to continue investigate the causes of these spatio‐temporal changes found in this study.

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Sensitivity of evapotranspiration to climate change using DSSAT model in sub humid climate region of Eastern Uttar Pradesh

Cited by 18 publications

References 48 publications

Comparison of SWAT-based Ecohydrological Modeling in the Rawa Pening Catchment Area, Indonesia

Comparison of SWAT-based Ecohydrological Modeling in the Rawa Pening Catchment Area, Indonesia

Quantitative exploration of the innovative trend method for evapotranspiration and its sensitivity to climatic parameters: The case study in Southeast Vietnam

Evidence of asymmetric change in diurnal temperature range in recent decades over different agro‐climatic zones of India

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