Predicting the Effects of Land Use Land Cover and Climate Change on Munneru River Basin Using CA-Markov and Soil and Water Assessment Tool
| dc.contributor.author | Loukika, Kotapati Narayana | en |
| dc.contributor.author | Keesara, Venkata Reddy | en |
| dc.contributor.author | Buri, Eswar Sai | en |
| dc.contributor.author | Sridhar, Venkataramana | en |
| dc.coverage.country | India | en |
| dc.date.accessioned | 2022-04-22T12:29:18Z | en |
| dc.date.available | 2022-04-22T12:29:18Z | en |
| dc.date.issued | 2022-04-21 | en |
| dc.date.updated | 2022-04-21T21:03:41Z | en |
| dc.description.abstract | It is important to understand how changing climate and Land Use Land Cover (LULC) will impact future spatio-temporal water availability across the Munneru river basin as it aids in effective water management and adaptation strategies. The Munneru river basin is one of the important sub-basins of the Krishna River in India. In this paper, the combined impact of LULC and Climate Change (CC) on Munneru water resources using the Soil and Water Assessment Tool (SWAT) is presented. The SWAT model is calibrated and validated for the period 1983–2017 in SWAT-CUP using the SUFI2 algorithm. The correlation coefficient between observed and simulated streamflow is calculated to be 0.92. The top five ranked Regional Climate Models (RCMs) are ensembled at each grid using the Reliable Ensemble Averaging (REA) approach. Predicted LULC maps for the years 2030, 2050 and 2080 using the CA-Markov model revealed increases in built-up and kharif crop areas and decreases in barren lands. The average monthly streamflows are simulated for the baseline period (1983–2005) and for three future periods, namely the near future (2021–2039), mid future (2040–2069) and far future (2070–2099) under Representation Concentration Pathway (RCP) 4.5 and 8.5 climate change scenarios. Streamflows increase in three future periods when only CC and the combined effect of CC and LULC are considered under RCP 4.5 and RCP 8.5 scenarios. When compared to the CC impact in the RCP 4.5 scenario, the percentage increase in average monthly mean streamflow (July–November) with the combined impact of CC and LULC is 33.9% (near future), 35.8% (mid future), and 45.3% (far future). Similarly, RCP 8.5 increases streamflow by 33.8% (near future), 36.5% (mid future), and 38.8% (far future) when compared to the combined impact of CC and LULC with only CC. When the combined impact of CC and LULC is considered, water balance components such as surface runoff and evapotranspiration increase while aquifer recharge decreases in both scenarios over the three future periods. The findings of this study can be used to plan and develop integrated water management strategies for the basin with projected LULC under climate change scenarios. This methodology can be applied to other basins in similar physiographic regions. | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Loukika, K.N.; Keesara, V.R.; Buri, E.S.; Sridhar, V. Predicting the Effects of Land Use Land Cover and Climate Change on Munneru River Basin Using CA-Markov and Soil and Water Assessment Tool. Sustainability 2022, 14, 5000. | en |
| dc.identifier.doi | https://doi.org/10.3390/su14095000 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/109731 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | basin | en |
| dc.subject | CA-Markov Model | en |
| dc.subject | climate change | en |
| dc.subject | LULC | en |
| dc.subject | RCM | en |
| dc.subject | streamflow | en |
| dc.subject | SWAT | en |
| dc.title | Predicting the Effects of Land Use Land Cover and Climate Change on Munneru River Basin Using CA-Markov and Soil and Water Assessment Tool | en |
| dc.title.serial | Sustainability | en |
| dc.type | Article - Refereed | en |
| dc.type.dcmitype | Text | en |