A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Spatiotemporal Analysis of Agricultural Drought in Krishna River Basin
Agricultural drought is a period of time with decreasing Soil Moisture (SM) which is the main variable to define and identify agricultural drought. However, the actual water content in the soil is very rarely taken into consideration due to the unavailability of fine-resolution SM both temporally and spatially. Many agricultural drought studies for this reason are performed based on hydro meteorological variables like rainfall, temperature, evapotranspiration, runoff, etc. With the advance in microwave remote sensing, Soil Moisture Active Passive (SMAP) Level 3 data is able to provide daily SM estimates at 9 km resolution globally. This study uses SMAP L3 SM along with soil properties data from Harmonic World Soil Database (HWSD) to derive Soil Water Deficit Index (SWDI) for analyzing spatiotemporal agricultural drought in Krishna River Basin (KRB). Agricultural drought has been analyzed for both long-term (yearly) and short-term (monthly, seasonal) in KRB from 2016 to 2021. Temporal analysis of SWDI shows all the years and seasons from 2016 to 2021 in KRB are dry years with 2020 and 2021 having less drought than other years. Though all the seasons and years of the study period are dry, SWDI is able to capture inter-annual and inter-seasonal variation in the basin. SWDI when compared to the Aridity Index (AI) extracted from World Atlas of Desertification, dry/non dry lands captured by AI are justified by SWDI showing extreme dry/mild dry areas. Moreover, this study shows the potential of Remote Sensing SM in agricultural drought monitoring studies.
Spatiotemporal Analysis of Agricultural Drought in Krishna River Basin
Agricultural drought is a period of time with decreasing Soil Moisture (SM) which is the main variable to define and identify agricultural drought. However, the actual water content in the soil is very rarely taken into consideration due to the unavailability of fine-resolution SM both temporally and spatially. Many agricultural drought studies for this reason are performed based on hydro meteorological variables like rainfall, temperature, evapotranspiration, runoff, etc. With the advance in microwave remote sensing, Soil Moisture Active Passive (SMAP) Level 3 data is able to provide daily SM estimates at 9 km resolution globally. This study uses SMAP L3 SM along with soil properties data from Harmonic World Soil Database (HWSD) to derive Soil Water Deficit Index (SWDI) for analyzing spatiotemporal agricultural drought in Krishna River Basin (KRB). Agricultural drought has been analyzed for both long-term (yearly) and short-term (monthly, seasonal) in KRB from 2016 to 2021. Temporal analysis of SWDI shows all the years and seasons from 2016 to 2021 in KRB are dry years with 2020 and 2021 having less drought than other years. Though all the seasons and years of the study period are dry, SWDI is able to capture inter-annual and inter-seasonal variation in the basin. SWDI when compared to the Aridity Index (AI) extracted from World Atlas of Desertification, dry/non dry lands captured by AI are justified by SWDI showing extreme dry/mild dry areas. Moreover, this study shows the potential of Remote Sensing SM in agricultural drought monitoring studies.
Spatiotemporal Analysis of Agricultural Drought in Krishna River Basin
Lecture Notes in Civil Engineering
Mesapam, Shashi (editor) / Ohri, Anurag (editor) / Sridhar, Venkataramana (editor) / Tripathi, Nitin Kumar (editor) / Palagiri, Hussain (author) / Pal, Manali (author)
International Virtual Conference on Developments and Applications of Geomatics ; 2022
2024-02-27
13 pages
Article/Chapter (Book)
Electronic Resource
English
Implications of Drought and Water Regulation in the Krishna Basin, India
| Online Contents | 2007
Assessment of flow regime alteration in the Krishna River basin
| Taylor & Francis Verlag | 2022
Intricate flood flow advancement modelling in the krishna river sub basin, India
| Taylor & Francis Verlag | 2023
Analysis of rainfall extremes and water yield of Krishna river basin under future climate scenarios
| Elsevier | 2018
Analysis of rainfall extremes and water yield of Krishna river basin under future climate scenarios
| DOAJ | 2018