Mahesh Jat

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Urban Water Management

Sustainable Water Resources Management, 2017

Spatial and temporal trends of mean and extreme rainfall and temperature for the 33 urban centers of the arid and semi-arid state of Rajasthan, India

Atmospheric Research, 2014

Trend analysis of the mean (monsoon season, non-monsoon season and annual) and extreme annual dai... more Trend analysis of the mean (monsoon season, non-monsoon season and annual) and extreme annual daily rainfall and temperature at the spatial and temporal scales was carried out for all the 33 urban centers of the arid and semi-arid state of Rajasthan, India. Statistical trend analysis techniques, namely the Mann-Kendall test and Sen's slope estimator, were used to examine trends (1971-2005) at the 10% level of significance. Both positive and negative trends were observed in mean and extreme events of rainfall and temperature in the urban centers of Rajasthan State. The magnitude of the significant trend of monsoon rainfall varied from (−) 6.00 mm/hydrologic year at Nagaur to (−) 8.56 mm/hydrologic year at Tonk. However, the magnitude of the significant negative trends of non-monsoon rainfall varied from (−) 0.66 mm/hydrologic year at Dungarpur to (−) 1.27 mm/hydrologic year at Chittorgarh. The magnitude of positive trends of non-monsoon rainfall varied from 0.93 mm/hydrologic year at Churu to 1.70 mm/hydrologic year at Hanumangarh. The magnitude of the significant negative trends of annual rainfall varied from (−) 6.47 mm/year at Nagaur to (−) 10.0 mm/year at Tonk. The minimum, average and maximum temperature showed significant increasing warming trends on an annual and seasonal scale in most of the urban centers in Rajasthan State. The magnitude of statistically significant annual extreme daily rainfall varied from 2.00 mm at Jhalawar to (−) 1.64 mm at Tonk, while the magnitude of statistically significant extreme annual daily minimum and maximum temperature varied from 0.03°C at Ganganagar to 0.05°C at Jhalawar, respectively. The spatial variations of the trends in mean (monsoon season, non-monsoon season and annual) and extreme annual daily rainfall and temperature were also determined using the inverse-distance-weighted (IDW) interpolation technique. IDW results are helpful to identify trends and variability in mean and extreme rainfall and temperature in space and time for the study locations where the data is not available and the quality of data is not good. These spatial maps of temperature and rainfall can help local stakeholders and water managers to understand the risks and vulnerabilities related to climate change in terms of mean and extreme events in the region.

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Monitoring and modelling of urban sprawl using remote sensing and GIS techniques

International Journal of Applied Earth Observation and Geoinformation, 2008

The concentration of people in densely populated urban areas, especially in developing countries,... more The concentration of people in densely populated urban areas, especially in developing countries, calls for the use of monitoring systems like remote sensing. Such systems along with spatial analysis techniques like digital image processing and geographical information system (GIS) can be used for the monitoring and planning purposes as these enable the reporting of overall sprawl at a detailed level. In the present work, urban sprawl of the Ajmer city (situated in Rajasthan State of India) has been studied at a mid scale level, over a period of 25 years (1977-2002), to extract the information related to sprawl, area of impervious surfaces and their spatial and temporal variability. Statistical classification approaches have been used for the classification of the remotely sensed images obtained from various sensors viz. Landsat MSS, TM, ETM+ and IRS LISS-III. Urban sprawl and its spatial and temporal characteristics have been derived from the classified satellite images. The Shannon's entropy and landscape metrics (patchiness and map density) have been computed in terms of spatial phenomenon, in order to quantify the urban form (impervious area). Further, multivariate statistical techniques have been used to establish the relationship between the urban sprawl and its causative factors. Results reveal that land development (160.8%) in Ajmer is more than three times the population growth (50.1%). Shannon's entropy and landscape metrics has revealed the spatial distribution of the urban sprawl over a period of last 25 years.

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SLEUTH model sensitivity testing: game of life, cellular neighborhood, and diffusivity

Arabian Journal of Geosciences

Sensitivity analysis and retrieval of optimum SLEUTH model parameters

Geocarto International

Automated Extraction of Slum Built-up Areas from Multispectral Imageries

Journal of the Indian Society of Remote Sensing

Assessment of Vulnerability of Rock Slope Considering Material and Seismic Variability

Journal of the Geological Society of India

Geographic information system based spatio-temporal dengue fever cluster analysis and mapping

The Egyptian Journal of Remote Sensing and Space Science

Implications of meteorological and physiographical parameters on dengue fever occurrences in Delhi

Science of The Total Environment

Capturing Heterogeneous Urban Growth using SLEUTH Model

Remote Sensing Applications: Society and Environment

Analysing performance of SLEUTH model calibration using brute force and genetic algorithm–based methods

Geocarto International

Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe

The Egyptian Journal of Remote Sensing and Space Science

An Integrated Approach for Natural Resources Monitoring Using Geo-Informatics and Ca

Journal of Rural Development

Application of Gis and McE Techniques for Optimum Site Selection for Water Harvesting Structures

Journal of Rural Development

Spatial Modelling of Interactions Between Dengue Incidences and Changing Climate by Integrating Ann Technique with Gis

Journal of Rural Development

Assessment of Temperature Anomalies Trend at Local Scale for Delhi, India

International Journal of Earth Sciences and Engineering

Assessment of water resources allocation options : Conjunctive use planning in a link canal command

Resources Conservation and Recycling, Aug 1, 2007

... based optimization model has been used by many researchers to investigate a variety of water ... more

Trend analysis of climatic variables in an arid and semi-arid region of the Ajmer District, Rajasthan, India

Journal of Water and Land Development, 2016

In the present study, trends and variations in climatic variables (i.e. rainfall, wet day frequen... more In the present study, trends and variations in climatic variables (i.e. rainfall, wet day frequency, surface temperature, diurnal temperature, cloud cover, and reference and potential evapotranspiration) were analyzed on seasonal (monsoon and non-monsoon) and annual time scales for the Ajmer District of Rajasthan, India. This was done using non-parametric statistical techniques, i.e. the Mann–Kendall (MK) and Modified Mann–Kendall (MMK) tests, over a period of 100 years. The MK test with prewhitening (MK–PW) of climatic series was also applied to climatic variables and the results were compared to those obtained through the MK and MMK tests in order to assess the performance of trend detection methods. The Pettitt–Mann–Whitney (PMW) test was applied to detect the temporal shift in climatic series. The trend analysis revealed that annual and seasonal rainfall did not show any statistically significant trend at a 10% significant level. A noticeable trend increase was found in wet day ...

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Implications of spatial scale on climate change assessments

Journal of Water and Land Development, 2015

While assessing the effects of climate change at global or regional scales, local factors respons... more While assessing the effects of climate change at global or regional scales, local factors responsible for climate change are generalized, which results in the averaging of effects. However, climate change assessment is required at a micro-scale to determine the severity of climate change. To ascertain the impact of spatial scales on climate change assessments, trends and shifts in annual and seasonal (monsoon and non-monsoon), rainfall and temperature (minimum, average and maximum) were determined at three different spatial resolutions in India (Ajmer city, Ajmer District and Rajasthan State). The Mann–Kendall (MK), MK test with pre-whitening of series (MK–PW), and Modified Mann–Kendall (MMK) test, along with other statistical techniques were used for the trend analysis. The Pettitt–Mann–Whitney (PMW) test was applied to detect the temporal shift in climatic parameters. The Sen’s slope and % change in rainfall and temperature were also estimated over the study period (35 years). The...

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Co2, Methane, So2 Reduction Through Bio-gas Generation

Mahesh Jat

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