Vicky Anand - Academia.edu (original) (raw)

Papers by Vicky Anand

Research paper thumbnail of Satellite remote sensing based approach for water quality monitoring in a data sparse region

Research paper thumbnail of Future projection and assessment of soil erosion and deposition by water in Manipur River basin using USPED model

Research paper thumbnail of Assessment and Comparison of DEM Generated Using Cartosat-1 Stereo Pair Data for Hydrological Applications

Journal of the Indian Society of Remote Sensing

Research paper thumbnail of Modeling the Potential Impact of Land Use/Land Cover Change on the Hydrology of Himalayan River Basin

CRC Press eBooks, Oct 17, 2022

Research paper thumbnail of Multiple techniques for calibration and validation of SWAT model in an ungauged catchment in Inner Himalayan Ranges

Research paper thumbnail of Uncertainty in hydrological analysis using multi-GCM predictions and multi-parameters under RCP 2.6 and 8.5 scenarios in Manipur River basin, India

Journal of Earth System Science, 2020

Climate change is likely to have adverse impacts on hydrological processes in a river basin, by a... more Climate change is likely to have adverse impacts on hydrological processes in a river basin, by altered runoA due to modiBcations in land use/land cover (LULC) and catchment hydrology. Substantial uncertainty exists to evaluate impacts of climate change on river catchment due to uncertainty in general circulation model (GCM) projections. In this study, impact of climate change on water balance and hydrological regime of Manipur River basin was investigated using SWAT model. A comprehensive semidistributed soil and water assessment tool (SWAT) was used for future projection of changes in hydrological regime of Manipur River basin based on two representative concentration pathways (RCP 2.6 and RCP 8.5). A coupled model intercomparison project's (CMIP5) based GCM downscaled outputs and future LULC projected data were used in the analysis. The projected temperature is likely to be increased by 2.84°C and increase of 836 mm in annual average precipitation is projected under RCP 8.5 by 2090s. Change in meteorological condition and LULC will lead to increase in runoA, evapotranspiration and water yield by 57.79 m 3 /s (38.32%), 318.7 mm (54.59%) and 629.72 mm (89.82%), respectively, by the end of 21st century. This study demonstrates the importance of water balance components and its spatial and temporal variation in the Manipur River basin. The key Bndings of this study reveals that the runoA, evapotranspiration and water yield will increase in the coming decades. Increase in water yield may lead to landslides in the hilly region and Cooding in low lying areas in future. Keywords. Land use and land cover (LULC); representative concentration pathways (RCP); general circulation model (GCM); soil and water assessment tool (SWAT); hydrological response unit (HRU); coupled model intercomparison project (CMIP5).

Research paper thumbnail of A spatiotemporal geographic information system-based assessment of human immunodeficiency virus/acquired immune deficiency syndrome distribution in Manipur, India

Indian Journal of Public Health, 2021

Background: Geographic information system (GIS) is a versatile tool that assists in health educat... more Background: Geographic information system (GIS) is a versatile tool that assists in health education, planning, research, monitoring, and evaluation of programs related to health. One of the epidemics which threaten the overall human welfare is human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS). In Manipur, the cases of HIV/AIDS have been reported at significant level. Objective: The study aimed to detect the hotspot regions of HIV/AIDS prevalence in Manipur and to identify the significant factors which influence the HIV prevalence. Methods: This study evaluates the spatial variations of HIV/AIDS prevalence in the state of Manipur, India, from 2011 to 2018. In this study, Getis-Ord Gi* statistic was used to detect the HIV/AIDS prevalent regions. The ordinary least square (OLS) spatial statistics embedded in the ArcGIS were employed for exploring the spatial relation between HIV/AIDS occurrence and the predictors. Results: It was observed from the hotspot results that Churachandpur, Ukhrul, and Thoubal are the blocks where HIV/AIDS is more prevalent. Six factors associated with the prevalence of HIV/AIDS were found to be significant. The most obvious factor influencing HIV in the region is illiteracy. The constructed OLS model has the highest value of adjusted R2 statistic equals to 0.67 and the lowest value of the Akaike Information Criterion statistic equals to 474.55. Conclusion: The use of hotspot analysis, regression analysis, spatial autocorrelation, and GIS can aid health planners in properly assessing and identifying spatial prevalence of diseases among the masses to better guide evidence-based health planning decisions.

Research paper thumbnail of Predicting the current and future potential spatial distribution of endangered Rucervus eldii eldii (Sangai) using MaxEnt model

Environmental Monitoring and Assessment, 2021

Ecological factors that control the species distribution patterns at various spatiotemporal scale... more Ecological factors that control the species distribution patterns at various spatiotemporal scales will get affected by climate change. To combat the situation, in the past few decades geographical information system (GIS) and remote sensing have been widely used by the researchers in the field of wildlife and habitat suitability modeling. The main objective of this study is to map and predict the current and future habitat suitability potential of Rucervus eldii eldii in Keibul Lamjao National Park (KLNP) using MaxEnt. Presence location data of the species, topographic factors, and bio-climatic variables were used as input in the MaxEnt software to map current habitat suitability potential. To map the habitat suitability potential for future, two representative concentration pathway (RCP) scenarios RCP 2.6 and RCP 8.5 for the years 2050 and 2070 were used. The model returned an average AUC value of 0.944 which indicates the model to be sensitive and descriptive. Isothermality and precipitation in the wettest quarter were found to be two most significant variables. The suitable range of precipitation in the wettest quarter for Rucervus eldii eldii varies from 1365 to 1410 mm with an optimal value of 1405 mm and isothermality from 46.43 to 46.6% with an optimal value of 46.5%. Current habitat suitability results of the model show 0.45 km2 of the area under no potential, 29.25 km2 of the area under least potential, 8.29 km2 of the area under moderate potential, 9.21 km2 of the area under good potential, and 8.82 km2 of the area under high potential. Both RCPs for the years 2050 and 2070 show the decreasing trend in the area under high suitability potential and increasing trend under no suitability potential. The results of this study can provide aid in the management and protection of Rucervus eldii eldii.

Research paper thumbnail of A geospatial based hotspot and regression analysis of abortion and stillbirth prevalence in Manipur, India

Women & Health, 2021

ABSTRACT Safe delivery of healthy newborn from the state of pregnancy is one of the main objectiv... more ABSTRACT Safe delivery of healthy newborn from the state of pregnancy is one of the main objectives of prenatal health care. Women face maternal health issues due to lack of awareness, excessive stress during pregnancies and lack of appropriate maternal health-care services. The main objectives of this research study is to identify the abortion and stillbirth prevalent hotspot zones in Manipur from the year 2011 to 2018 and identification of statistically significant factors related to the cause of abortion and stillbirth. It was observed from the hotspot results that Lamphelpat, Kakching, Thoubal, and Churachandpur are the blocks where abortion is more prevalent, whereas stillbirth cases were found to be concentrated in Lamphelpat block. Generated regression model showed good model performance with adjusted R2 = 0.68, Akaike Information Criterion (AIC) = 608.72, Moran’s I = 0.37, and adjusted R2 = 0.73, AIC = 433.26, Moran’s I = −0.05 for abortion and stillbirth, respectively. Through regression modeling three factors i.e., main worker female, female working as agriculture labor and female household worker were found to be significant for the cause maternal issues like abortion and stillbirth. There is a need to follow up pregnant women with these risk factors more frequently and in a more qualified way.

Research paper thumbnail of Future land use land cover prediction with special emphasis on urbanization and wetlands

Remote Sensing Letters, 2019

Manipur River basin lies in the northeastern part of India in the lesser Himalayan ranges and it ... more Manipur River basin lies in the northeastern part of India in the lesser Himalayan ranges and it is under extreme pressure from natural and anthropogenic factors. This study aims to monitor and predict the future land use land cover (LULC) for the region using land change modeller (LCM) in TerrSet. Landsat satellite images were used to produce LULC map for three different years 2007, 2014 and 2017. Based on these past LULC map, future LULC map of the study area was developed using Markov Chain and artificial neural network (ANN) analysis in LCM. ANN was trained with the driver variable, namely, distance from roads, distance from settlement, elevation and slope. Results indicate that there was an increase in area under waterbodies, agriculture and built-up area by 15.93%, 2.42% and 11.58%, respectively, in 2017 with respect to initial LULC condition in 2007. It can also be observed that there was decrease of 6.08%, 28.65% and 0.55% in wetlands, herbaceous wetlands and forest, respectively. Furthermore, similar trends were observed in the predicted LULC map of 2030 with an increase of 16.4%, 3.06% and 20.99% in waterbodies, agriculture and built-up area, and decrease of 6.48%, 41.56% and 1.4% in wetlands, herbaceous wetlands and forest. Based on the result of predicted LULC of 2030 which indicates drastic change in built-up area and herbaceous wetlands, there is a need for formulating proper urban planning and environmental preservation policies.

Research paper thumbnail of Satellite remote sensing based approach for water quality monitoring in a data sparse region

Research paper thumbnail of Future projection and assessment of soil erosion and deposition by water in Manipur River basin using USPED model

Research paper thumbnail of Assessment and Comparison of DEM Generated Using Cartosat-1 Stereo Pair Data for Hydrological Applications

Journal of the Indian Society of Remote Sensing

Research paper thumbnail of Modeling the Potential Impact of Land Use/Land Cover Change on the Hydrology of Himalayan River Basin

CRC Press eBooks, Oct 17, 2022

Research paper thumbnail of Multiple techniques for calibration and validation of SWAT model in an ungauged catchment in Inner Himalayan Ranges

Research paper thumbnail of Uncertainty in hydrological analysis using multi-GCM predictions and multi-parameters under RCP 2.6 and 8.5 scenarios in Manipur River basin, India

Journal of Earth System Science, 2020

Climate change is likely to have adverse impacts on hydrological processes in a river basin, by a... more Climate change is likely to have adverse impacts on hydrological processes in a river basin, by altered runoA due to modiBcations in land use/land cover (LULC) and catchment hydrology. Substantial uncertainty exists to evaluate impacts of climate change on river catchment due to uncertainty in general circulation model (GCM) projections. In this study, impact of climate change on water balance and hydrological regime of Manipur River basin was investigated using SWAT model. A comprehensive semidistributed soil and water assessment tool (SWAT) was used for future projection of changes in hydrological regime of Manipur River basin based on two representative concentration pathways (RCP 2.6 and RCP 8.5). A coupled model intercomparison project's (CMIP5) based GCM downscaled outputs and future LULC projected data were used in the analysis. The projected temperature is likely to be increased by 2.84°C and increase of 836 mm in annual average precipitation is projected under RCP 8.5 by 2090s. Change in meteorological condition and LULC will lead to increase in runoA, evapotranspiration and water yield by 57.79 m 3 /s (38.32%), 318.7 mm (54.59%) and 629.72 mm (89.82%), respectively, by the end of 21st century. This study demonstrates the importance of water balance components and its spatial and temporal variation in the Manipur River basin. The key Bndings of this study reveals that the runoA, evapotranspiration and water yield will increase in the coming decades. Increase in water yield may lead to landslides in the hilly region and Cooding in low lying areas in future. Keywords. Land use and land cover (LULC); representative concentration pathways (RCP); general circulation model (GCM); soil and water assessment tool (SWAT); hydrological response unit (HRU); coupled model intercomparison project (CMIP5).

Research paper thumbnail of A spatiotemporal geographic information system-based assessment of human immunodeficiency virus/acquired immune deficiency syndrome distribution in Manipur, India

Indian Journal of Public Health, 2021

Background: Geographic information system (GIS) is a versatile tool that assists in health educat... more Background: Geographic information system (GIS) is a versatile tool that assists in health education, planning, research, monitoring, and evaluation of programs related to health. One of the epidemics which threaten the overall human welfare is human immunodeficiency virus/acquired immune deficiency syndrome (HIV/AIDS). In Manipur, the cases of HIV/AIDS have been reported at significant level. Objective: The study aimed to detect the hotspot regions of HIV/AIDS prevalence in Manipur and to identify the significant factors which influence the HIV prevalence. Methods: This study evaluates the spatial variations of HIV/AIDS prevalence in the state of Manipur, India, from 2011 to 2018. In this study, Getis-Ord Gi* statistic was used to detect the HIV/AIDS prevalent regions. The ordinary least square (OLS) spatial statistics embedded in the ArcGIS were employed for exploring the spatial relation between HIV/AIDS occurrence and the predictors. Results: It was observed from the hotspot results that Churachandpur, Ukhrul, and Thoubal are the blocks where HIV/AIDS is more prevalent. Six factors associated with the prevalence of HIV/AIDS were found to be significant. The most obvious factor influencing HIV in the region is illiteracy. The constructed OLS model has the highest value of adjusted R2 statistic equals to 0.67 and the lowest value of the Akaike Information Criterion statistic equals to 474.55. Conclusion: The use of hotspot analysis, regression analysis, spatial autocorrelation, and GIS can aid health planners in properly assessing and identifying spatial prevalence of diseases among the masses to better guide evidence-based health planning decisions.

Research paper thumbnail of Predicting the current and future potential spatial distribution of endangered Rucervus eldii eldii (Sangai) using MaxEnt model

Environmental Monitoring and Assessment, 2021

Ecological factors that control the species distribution patterns at various spatiotemporal scale... more Ecological factors that control the species distribution patterns at various spatiotemporal scales will get affected by climate change. To combat the situation, in the past few decades geographical information system (GIS) and remote sensing have been widely used by the researchers in the field of wildlife and habitat suitability modeling. The main objective of this study is to map and predict the current and future habitat suitability potential of Rucervus eldii eldii in Keibul Lamjao National Park (KLNP) using MaxEnt. Presence location data of the species, topographic factors, and bio-climatic variables were used as input in the MaxEnt software to map current habitat suitability potential. To map the habitat suitability potential for future, two representative concentration pathway (RCP) scenarios RCP 2.6 and RCP 8.5 for the years 2050 and 2070 were used. The model returned an average AUC value of 0.944 which indicates the model to be sensitive and descriptive. Isothermality and precipitation in the wettest quarter were found to be two most significant variables. The suitable range of precipitation in the wettest quarter for Rucervus eldii eldii varies from 1365 to 1410 mm with an optimal value of 1405 mm and isothermality from 46.43 to 46.6% with an optimal value of 46.5%. Current habitat suitability results of the model show 0.45 km2 of the area under no potential, 29.25 km2 of the area under least potential, 8.29 km2 of the area under moderate potential, 9.21 km2 of the area under good potential, and 8.82 km2 of the area under high potential. Both RCPs for the years 2050 and 2070 show the decreasing trend in the area under high suitability potential and increasing trend under no suitability potential. The results of this study can provide aid in the management and protection of Rucervus eldii eldii.

Research paper thumbnail of A geospatial based hotspot and regression analysis of abortion and stillbirth prevalence in Manipur, India

Women & Health, 2021

ABSTRACT Safe delivery of healthy newborn from the state of pregnancy is one of the main objectiv... more ABSTRACT Safe delivery of healthy newborn from the state of pregnancy is one of the main objectives of prenatal health care. Women face maternal health issues due to lack of awareness, excessive stress during pregnancies and lack of appropriate maternal health-care services. The main objectives of this research study is to identify the abortion and stillbirth prevalent hotspot zones in Manipur from the year 2011 to 2018 and identification of statistically significant factors related to the cause of abortion and stillbirth. It was observed from the hotspot results that Lamphelpat, Kakching, Thoubal, and Churachandpur are the blocks where abortion is more prevalent, whereas stillbirth cases were found to be concentrated in Lamphelpat block. Generated regression model showed good model performance with adjusted R2 = 0.68, Akaike Information Criterion (AIC) = 608.72, Moran’s I = 0.37, and adjusted R2 = 0.73, AIC = 433.26, Moran’s I = −0.05 for abortion and stillbirth, respectively. Through regression modeling three factors i.e., main worker female, female working as agriculture labor and female household worker were found to be significant for the cause maternal issues like abortion and stillbirth. There is a need to follow up pregnant women with these risk factors more frequently and in a more qualified way.

Research paper thumbnail of Future land use land cover prediction with special emphasis on urbanization and wetlands

Remote Sensing Letters, 2019

Manipur River basin lies in the northeastern part of India in the lesser Himalayan ranges and it ... more Manipur River basin lies in the northeastern part of India in the lesser Himalayan ranges and it is under extreme pressure from natural and anthropogenic factors. This study aims to monitor and predict the future land use land cover (LULC) for the region using land change modeller (LCM) in TerrSet. Landsat satellite images were used to produce LULC map for three different years 2007, 2014 and 2017. Based on these past LULC map, future LULC map of the study area was developed using Markov Chain and artificial neural network (ANN) analysis in LCM. ANN was trained with the driver variable, namely, distance from roads, distance from settlement, elevation and slope. Results indicate that there was an increase in area under waterbodies, agriculture and built-up area by 15.93%, 2.42% and 11.58%, respectively, in 2017 with respect to initial LULC condition in 2007. It can also be observed that there was decrease of 6.08%, 28.65% and 0.55% in wetlands, herbaceous wetlands and forest, respectively. Furthermore, similar trends were observed in the predicted LULC map of 2030 with an increase of 16.4%, 3.06% and 20.99% in waterbodies, agriculture and built-up area, and decrease of 6.48%, 41.56% and 1.4% in wetlands, herbaceous wetlands and forest. Based on the result of predicted LULC of 2030 which indicates drastic change in built-up area and herbaceous wetlands, there is a need for formulating proper urban planning and environmental preservation policies.