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Sainath Aher
S.N. Arts, D.J.M. Commerce and B.N.S. Science College, Sangamner, India

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Article
Published: 25 May 2021 in Environment, Development and Sustainability
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Road Cut Slope Catastrophe (RCSC) is a recent menace threatening vehicular traffic and commuter safety in hilly tracts. Reduction of risk along Road Cut Hill Slope (RCHS) needs to be tackled on priority. National Highway (NH) 60 (formerly NH-50) situated in semi-arid basaltic tract within Chandanapuri Ghat (hill) in Maharashtra is being expanded to enhance economic activity in the allied region. To predict RCSC or landslide activity across the Ghat stretch, eleven (n = 11) road cut slopes were investigated by collecting data regarding (1) slope, (2) RCHS height, (3) distance from road, (4) rock composition, (5) soil structure, and (6) mass movement. Traffic survey was also carried out to understand the vehicular frequency. Survey of India (SOI) 1:50,000 scale toposheet (47/I/3) and LISS-III satellite imagery were used to identify the pre-expansion road situation of the area. Mean rainfall and temperature data were collected from TRMM data, and worldclime grid, respectively, to evaluate climatic nature of the area. Satellite-derived ASTER GDEM data were used to prepare the topographic information. Field investigations, GPS data and traffic survey, space-based remote sensing (RS) satellite-derived data were all integrated in ArcGIS V.9.2 software to produce the composite spatial database of all samples. After that, RCHS site weighting and weighted factor combination (WFC) were carried out to form the Landslide Risk Intensity (LRI), i.e., Low risk (LR), Moderate Risk (MR), High risk (HR), and Very High risk (VHR). Results indicate that out of 11 samples, 2 (P3, P11) are prone to VHR, 3 (P2, P9, P10) prone to HR, 3 (P5, P7, P8) prone to MR, and 3 (P1, P4, P6) prone to RCSC. The results were validated from rock fall activity even though the cut slopes are protected with security net, confirmed by field visit. Thus, investigated RCSC will be useful to evaluate the risk intensity and help evolve suitable remedial measures for RCSC or landslide reduction in the present and other similar areas. It is also recommended to make highway slope maintenance an integral part of highway management.

ACS Style

Dattatray Khamkar; Sainath Aher; Praveen Gawali; Sumedh Mhaske. Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India. Environment, Development and Sustainability 2021, 1 -25.

AMA Style

Dattatray Khamkar, Sainath Aher, Praveen Gawali, Sumedh Mhaske. Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India. Environment, Development and Sustainability. 2021; ():1-25.

Chicago/Turabian Style

Dattatray Khamkar; Sainath Aher; Praveen Gawali; Sumedh Mhaske. 2021. "Investigating probable causes for predicting catastrophic landslides along NH-60 excavated through semi-arid basaltic terrain of Chandanapuri Ghat, Maharashtra, India." Environment, Development and Sustainability , no. : 1-25.

Research paper
Published: 24 March 2020 in Iranian Journal of Science and Technology, Transactions of Civil Engineering
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Long-term discharge variability assessment in the river channels helps to improve the water management strategies under the changing climate change scenarios. The present study investigated the 40-year (1970–2010) spatio-temporal variability in the discharge of the Krishna and Koyna River channels at Karad and Varunji gauging stations. Mean annual discharge (MAQ), mean decadal discharge (MDQ), standard deviation (SD), coefficient of variation (CV) and Pearson correlation coefficient (R), and variance (R2) were calculated from the daily discharge data to know the spatio-temporal variability. Possible causes of discharge variability were investigated from rainfall, topography, drainage, and reservoir data. Rainfall data (1998–2000) were collected from the Indian meteorological department and satellite-derived tropical rainfall measuring mission to examine the hydrologic response to discharge. Similarly, shuttle radar topography mission digital elevation model data were incorporated into ArcGIS software to generate relief, slope, drainage, reservoir, and basin data to quantify their relative influence with discharge. Results explored whether a significant variability existed in the 40-year historical discharge in the Krishna and Koyna River channels. Low MAQ for both the channels was recorded during 2000–2001, while it was maximum during 2006–2007. Krishna River’s MDQ was higher as compared to Koyna River. The highest SD value (2358.4 m3/s) was recorded for 2000–2010 and minimum (416.5 m3/s) for the 1970–1980 decade. The CV of the Varunji station was lower in 1970–1980 (0.2) while higher in 2000–2010 (0.7) with a rising trend from 1970–1980 to 2000–2010 decade. The Krishna and Koyna River flow regime has changed over the four decades due to variations in rainfall, relief, slope, drainage, reservoir, and basin area within both the basins. The results could be useful to the regional climate and flood forecasting centres not only in the Krishna and Koyna river basin, but also in other basins which have similar hydrogeological characteristics.

ACS Style

Sambhaji Shinde; Sainath Aher; Amol Pawar; Komali Kantamaneni. Spatio-temporal Variability of Discharge Over the Past 40 Years in Krishna and Koyna Rivers, India. Iranian Journal of Science and Technology, Transactions of Civil Engineering 2020, 44, 395 -407.

AMA Style

Sambhaji Shinde, Sainath Aher, Amol Pawar, Komali Kantamaneni. Spatio-temporal Variability of Discharge Over the Past 40 Years in Krishna and Koyna Rivers, India. Iranian Journal of Science and Technology, Transactions of Civil Engineering. 2020; 44 (S1):395-407.

Chicago/Turabian Style

Sambhaji Shinde; Sainath Aher; Amol Pawar; Komali Kantamaneni. 2020. "Spatio-temporal Variability of Discharge Over the Past 40 Years in Krishna and Koyna Rivers, India." Iranian Journal of Science and Technology, Transactions of Civil Engineering 44, no. S1: 395-407.

Journal article
Published: 30 December 2019 in Hydrospatial Analysis
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Changing climate and land-use practices influencing the natural stream flow processes in the Naryn river basin of Kyrgyzstan. Variations in stream flow regime over 33-years (1980 to 2012) were investigated using daily discharge data of three hydro-stations (Naryn, Ych-Terek and Uzunakmat), located in the Naryn River Basin. Mean monthly discharge (MMD), mean annual discharge (MAD), standard deviation (SD) and coefficient of variation (CV) were calculated to know the spatio-temporal variability. Similarly, Pearson’s correlation coefficient (r) was used to know the relationship between discharge and rainfall. Advanced time-series graph, exceedance probability and frequency distribution were computed using Hydrognomon (V.4.0.3) software to observe the variability and trends in discharge. The results from statistical calculations and software-based computations highlight the monthly, annual, and long term spatio-temporal discharge variability, extreme events, distribution and changes in stream flow records. This study preciously creates the frequency and trends of seasonal discharge, annual discharge cycle, and range of highest and lowest discharge flows. The weak and negative relationship (-0.2121, -0.4238) between rainfall and discharge propose for more investigation of climatic parameters and the topography of Tian Shan Mountain perhaps influencing discharge variability due to melting of glacier at high altitude. The flow regime of the Naryn river basin over the past 33-years perhaps changed due to climatic fluctuations, with the seasonal snowmelt timing (Post-Spring, Summer, Pri-Autumn), precipitations period (March-October), and large-scale land-use alterations.

ACS Style

Merim Pamirbek K; Chen X; Sainath Aher; Alamanov Salamat; Pragati Deshmukh; Choduraev Temirbek. Analysis of Discharge Variability in the Naryn River Basin, Kyrgyzstan. Hydrospatial Analysis 2019, 3, 90 -106.

AMA Style

Merim Pamirbek K, Chen X, Sainath Aher, Alamanov Salamat, Pragati Deshmukh, Choduraev Temirbek. Analysis of Discharge Variability in the Naryn River Basin, Kyrgyzstan. Hydrospatial Analysis. 2019; 3 (2):90-106.

Chicago/Turabian Style

Merim Pamirbek K; Chen X; Sainath Aher; Alamanov Salamat; Pragati Deshmukh; Choduraev Temirbek. 2019. "Analysis of Discharge Variability in the Naryn River Basin, Kyrgyzstan." Hydrospatial Analysis 3, no. 2: 90-106.

Original paper
Published: 11 November 2019 in Arabian Journal of Geosciences
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Spatio-temporal analysis and estimation of rainfall variability is an important factor to characterize the hydrological manifestation for precise water management. Fifteen years’ daily rainfall data (2000–2014) of 39 rain gauge stations (RGS), situated in and around upper Godavari basin (UGB), was analyzed using statistical computations. Mean annual rainfall (MAR) and mean half-decadal rainfall, along with standard deviation (SD), coefficient of variation (CV), standardized anomaly (SA), mean absolute deviation (MAD), and spatial distribution of rainfall (SDR), were computed to delineate the orographic effect, if any, over rainfall. Box and whisker diagrams display rainfall distribution. The analyzed data was incorporated in Geographical Information System (GIS) software, and spatial estimation of half-decadal rainfall, SA, and SDR carried out using inverse distance weighting (IDW) interpolation method. RGS mean rainfall of 2000–2004, 2005–2009, and 2010–2014 were correlated with satellite-derived Tropical Rainfall Measuring Mission (TRMM) data using Pearson correlation coefficient (R) to confirm the accuracy and validity of both the data. Statistical results and spatial estimation of rainfall indicate high spatio-temporal variability during 2010–2014 and lower during 2005–2009. Monsoon intensity revealed increasing trend from 2000 to 2006, which was seen to be decreasing later, with rise and fall from 2006 to 2014. The rainfall was seen to increase towards west due to an obstruction posed by the Western Ghat to the east flowing monsoon wind. Strong positive correlation was found between TRMM and 3 half-decade rainfall data. The approach adopted in this paper identified the micro level rainfall variability which will be greatly advantageous for sustainable water resource management.

ACS Style

Sainath Aher; Sambhaji Shinde; Praveen Gawali; Pragati Deshmukh; Lakshmi B. Venkata. Spatio-temporal analysis and estimation of rainfall variability in and around upper Godavari River basin, India. Arabian Journal of Geosciences 2019, 12, 682 .

AMA Style

Sainath Aher, Sambhaji Shinde, Praveen Gawali, Pragati Deshmukh, Lakshmi B. Venkata. Spatio-temporal analysis and estimation of rainfall variability in and around upper Godavari River basin, India. Arabian Journal of Geosciences. 2019; 12 (22):682.

Chicago/Turabian Style

Sainath Aher; Sambhaji Shinde; Praveen Gawali; Pragati Deshmukh; Lakshmi B. Venkata. 2019. "Spatio-temporal analysis and estimation of rainfall variability in and around upper Godavari River basin, India." Arabian Journal of Geosciences 12, no. 22: 682.

Articles
Published: 02 July 2019 in Geocarto International
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Identifying the impact of intensive agriculture practices on groundwater quality gives an ample idea of associated hydro-chemical facies. This study deciphers the groundwater quality using physico-chemical analysis, multi-tracer and geographical information system (GIS) techniques. To investigate groundwater quality, 25 samples were collected from dug-well in May 2010 and May 2015. Physico-chemical analysis of pH, EC, TDS, Na+, K+, Ca2+, Mg2+, Cl-, HCO3-, SO42-, and NO3- carried out using APHA (1998) and integrated into AqQA and GIS software. The range of analysis increased in 2015, i.e. pH (7.9-8.9), EC (910-9710 µS/cm), TDS (582-6214 mg/l), Na+ (34-850 mg/l), K+ (0.6-3.1 mg/l), Ca2+ (89-346 mg/l), Mg2+ (68-2960 mg/l), Cl- (89-1591 mg/l), HCO3- (200-799 mg/l), SO42- (49-210 mg/l) and NO3- (10-90 mg/l). Almost samples of pH, TDS, Mg2+, HCO3- and NO3- were above BIS standards. A present effort is an innovative approach for bids in similar hydro-geological conditions for sustainable groundwater quality management.

ACS Style

Sainath Aher; Keshav Deshmukh. Identifying the impact of intensive agriculture practices on groundwater quality using GIS and multi-tracer techniques around Sangamner city, Maharashtra, India. Geocarto International 2019, 36, 1136 -1160.

AMA Style

Sainath Aher, Keshav Deshmukh. Identifying the impact of intensive agriculture practices on groundwater quality using GIS and multi-tracer techniques around Sangamner city, Maharashtra, India. Geocarto International. 2019; 36 (10):1136-1160.

Chicago/Turabian Style

Sainath Aher; Keshav Deshmukh. 2019. "Identifying the impact of intensive agriculture practices on groundwater quality using GIS and multi-tracer techniques around Sangamner city, Maharashtra, India." Geocarto International 36, no. 10: 1136-1160.

Journal article
Published: 25 November 2017 in Water
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Climate change and associated factors such as global and regional sea-level rise; the upsurge in high-intensity flooding events; and coastal erosion are pulse and press disturbances that threaten to increase landslides in coastal regions. Under these circumstances; a rigorous framework is required to evaluate coastal vulnerability in order to plan for future climate change scenarios. A vast majority of coastal vulnerability assessments across the globe are evaluated at the macro level (city scale) but not at the micro level (small town scale); particularly in the United Kingdom (UK). In order to fill this vital research gap; the current study established a coastal vulnerability index termed here as the Micro Town Coastal Vulnerability Index (MTCVI) and then applied it to Barton-on-Sea; which is a small coastal town of the Hampshire region; England; UK. MTCVI was evaluated for Barton-on-Sea coastal vulnerability by integrating both novel and existing parameters. Results suggest that the entire shoreline frontage (2 km) exhibits very high coastal vulnerability and is prone to various coastal hazards such as landslides; erosion; and wave intrusion. This suggests that Barton-on-Sea coastal amenities will require a substantial improvement in shoreline protection measures. In this study; GIS (geographic information system) coastal vulnerability and landslide maps were generated; and these maps can be used by the local authorities; district councils; coastal engineers; and planners to improve and design coastal management strategies under the climate change scenarios. Meanwhile; the methodology used in this study could also be applied to any other suitable location in the world depending on the availability of the data.

ACS Style

Komali Kantamaneni; Xiaoping Du; Sainath Aher; Rao Martand Singh. Building Blocks: A Quantitative Approach for Evaluating Coastal Vulnerability. Water 2017, 9, 905 .

AMA Style

Komali Kantamaneni, Xiaoping Du, Sainath Aher, Rao Martand Singh. Building Blocks: A Quantitative Approach for Evaluating Coastal Vulnerability. Water. 2017; 9 (12):905.

Chicago/Turabian Style

Komali Kantamaneni; Xiaoping Du; Sainath Aher; Rao Martand Singh. 2017. "Building Blocks: A Quantitative Approach for Evaluating Coastal Vulnerability." Water 9, no. 12: 905.

Journal article
Published: 29 October 2017 in Remote Sensing of Land
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Detection and delineation of Water Body Area (WBA), particularly over inaccessible hilly region is not always possible in view of time, resources and cost issues. An automated procedure for detection and delineation of water bodies in the hilly region was performed using satellite-derived DEMs. CartoDEM, SRTM and ASTER GDEM data with 30, 90 and 30 m resolutions, respectively to generate the Elevation Points Features (EPF) in GIS platform. Total 7194906 EPFs were generated using these three DEMs. Contour and slope maps were also prepared to eliminate the outlier EPFs (non-water bodies) with flattered surface logic. Flattened area on DEMs, connected contour at edges of water bodies and 0° to 0.5° slopping area were considered as WBA in the region (2311 Km2) of Western Ghat (India). The nearest neighbor to cubic convolution conversion of DEMs was found useful for detection of boundary of water bodies more precisely. These results were validated from Landsat-8 satellite images and topographic maps (Survey of India). About 3.09% from CartoDEM, 2.22% area from ASTER GDEM and 4.38% from SRTM DEM were estimated as WBA. CartoDEM data can be suggested for precise detection of smaller water bodies in hilly region. Methodology formulated in this study could be used as a rapid assessment tool for detection of water bodies, especially in the inaccessible region for better water resources management.

ACS Style

Sainath Aher; Komali Kantamaneni; Pragati Deshmukh. Detection and Delineation of Water Bodies in Hilly Region using CartoDEM SRTM and ASTER GDEM Data. Remote Sensing of Land 2017, 1, 41 -52.

AMA Style

Sainath Aher, Komali Kantamaneni, Pragati Deshmukh. Detection and Delineation of Water Bodies in Hilly Region using CartoDEM SRTM and ASTER GDEM Data. Remote Sensing of Land. 2017; 1 (1):41-52.

Chicago/Turabian Style

Sainath Aher; Komali Kantamaneni; Pragati Deshmukh. 2017. "Detection and Delineation of Water Bodies in Hilly Region using CartoDEM SRTM and ASTER GDEM Data." Remote Sensing of Land 1, no. 1: 41-52.

Research article
Published: 20 September 2017 in Journal of the Geological Society of India
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Heavy rainfall triggered landslides are on the rise along the Western Ghats making it a matter of priority to identify landslide-prone areas well in advance. The present effort is aimed at identifying landslide susceptible villages (LSV) around the Kalsubai region of Deccan volcanic province (DVP), Maharashtra, India from 8 weighted landslide parameters- rainfall, slope, lithology, land use and land cover (LULC), soil properties, relative relief, aspect and lineament. These parameters were combined with advanced remote sensing (RS) data and processed in geographical information system (GIS) as well as in image processing software, which are an integral part of geospatial techniques. Out of the total 59 villages, the study identified 9 villages are situated in very high, 13 in high, 12 in moderate, 11 in low and 14 in very low risk zones. Our data reveals incessant heavy rains and steep slopes are the dominant factors in triggering landslides, exacerbated by anthropogenic activity prevalent in the study area. The spatial and non-spatial database created will help to take effective steps in preventing and/or mitigating landslide disasters in the study area. The methodology can be applied to identify other landslide prone areas in a cost effective way.

ACS Style

Praveen B. Gawali; Sainath Aher; B. V. Lakshmi; Ravindra D. Gaikwad; K. Deendayalan; Pramod T. Hanamgond; J. L. V. Mahesh Babu; Sandeep A. Arote; Shashikant I. Bairage. Identification of landslide susceptible villages around Kalsubai region, Western Ghats of Maharashtra using geospatial techniques. Journal of the Geological Society of India 2017, 90, 301 -311.

AMA Style

Praveen B. Gawali, Sainath Aher, B. V. Lakshmi, Ravindra D. Gaikwad, K. Deendayalan, Pramod T. Hanamgond, J. L. V. Mahesh Babu, Sandeep A. Arote, Shashikant I. Bairage. Identification of landslide susceptible villages around Kalsubai region, Western Ghats of Maharashtra using geospatial techniques. Journal of the Geological Society of India. 2017; 90 (3):301-311.

Chicago/Turabian Style

Praveen B. Gawali; Sainath Aher; B. V. Lakshmi; Ravindra D. Gaikwad; K. Deendayalan; Pramod T. Hanamgond; J. L. V. Mahesh Babu; Sandeep A. Arote; Shashikant I. Bairage. 2017. "Identification of landslide susceptible villages around Kalsubai region, Western Ghats of Maharashtra using geospatial techniques." Journal of the Geological Society of India 90, no. 3: 301-311.

Journal article
Published: 25 August 2017 in Current World Environment
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The disposals of municipal solid waste (MSW) in open dumps are a widespread activity around the vicinity of urban area. When rainwater interacts with dumping yards, generate a leachate and percolates through the soil strata and after particular time they pollute the groundwater and soil in the vicinity. In view of this, assessment of soil fertility around MSW disposal site near sangamner city, Maharashtra was carried out. Soil samples (n=16) close to dumping yard and away from considerable distance (controlled samples) were collected and analyzed for parameters like pH, EC, organic carbon, available NPK and boron by using standard methods. The pH, EC, organic carbon, available NPK and boron of soil samples were found to be higher near the dumping site as compared to control samples. The pH of samples was found to be alkaline ranges from 8.1 to 8.8 while EC increases from 0.2 to 8.3 dS/m which is toxic to plants and crops in the nearby area. The percentage organic carbon lies between 0.8 and 12.2. The available NPK was varying from low to medium and boron ranges from 0.5 to 9.7 ppm in the study area. The minimum dispersion was found in pH (0.23) and higher in N (71.61) from standard deviation (SD) value. It was observed that, since the waste was disposed, a number of contaminants readily penetrate and deteriorate the soil in the area. Thus, the disposal of waste should be discouraged and waste management and treatment should be put in place for protection of soil fertility around dumping site near the Sangamner city.

ACS Style

Keshav K. Deshmukh; Sainath Aher. Assessment of Soil Fertility Around Municipal Solid Waste Disposal Site Near Sangamner City, Maharashtra, India. Current World Environment 2017, 12, 401 -410.

AMA Style

Keshav K. Deshmukh, Sainath Aher. Assessment of Soil Fertility Around Municipal Solid Waste Disposal Site Near Sangamner City, Maharashtra, India. Current World Environment. 2017; 12 (2):401-410.

Chicago/Turabian Style

Keshav K. Deshmukh; Sainath Aher. 2017. "Assessment of Soil Fertility Around Municipal Solid Waste Disposal Site Near Sangamner City, Maharashtra, India." Current World Environment 12, no. 2: 401-410.

Original article
Published: 08 July 2017 in Sustainable Water Resources Management
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The present study is an attempt to decipher physico-chemical characteristics of groundwater collected along Mulmala stream in the Chandanapuri valley through monitoring of its morphological, geological and land use constraints. The Mulmala stream is located in the semi-arid irrigated tract of Western Deccan upland, flowing over Aa and Pahoehoe basalts and alluvium at base of the upland where quality of groundwater is declining. In view of this, 13 groundwater samples (2 borewell + 11 dug well) were collected and analyzed for pH, EC, TDS, Na+, K+, Ca2+, Mg2+, HCO3−2, Cl−, S04−2, NO3− using standard methods. Survey of India’s toposheets (47 I/2 and 47 I/3) and geology map were georeferenced and used for extraction of drainage networks and geological information, respectively, in ArcGIS-10 software. Extracted drainage networks were ordered by Strahler method for bifurcation ratio calculation. Topographic and slope values along with a longitudinal profile were obtained from CartoDEM (v3). Land use mapping were carried out from IRS’s Resourcesat-1-LISS III satellite imagery, acquired on December 2008 and October 2010. Finally, incorporation of morphometric, geologic, hydrologic information was carried out with land use. The geochemical and land use data suggests, Chandanapuri valley inching towards vigorous anthropogenic activity having potentially deleterious effects on its natural setting, especially in the northern alluvium strip. The steady decline in forest cover and an equal or more increase in agricultural as well as excavating the Deccan upland for highway construction can have cascading effect on the Mulmala basin ecology. Timely sustainable steps with people participation can halt this deterioration in the study area.

ACS Style

Keshav K. Deshmukh; Sainath P. Aher; Praveen B. Gawali; Pragati P. Deshmukh. Groundwater quality in Deccan upland region of Chandanapuri Valley, Sangamner, Maharashtra, India. Sustainable Water Resources Management 2017, 4, 687 -697.

AMA Style

Keshav K. Deshmukh, Sainath P. Aher, Praveen B. Gawali, Pragati P. Deshmukh. Groundwater quality in Deccan upland region of Chandanapuri Valley, Sangamner, Maharashtra, India. Sustainable Water Resources Management. 2017; 4 (4):687-697.

Chicago/Turabian Style

Keshav K. Deshmukh; Sainath P. Aher; Praveen B. Gawali; Pragati P. Deshmukh. 2017. "Groundwater quality in Deccan upland region of Chandanapuri Valley, Sangamner, Maharashtra, India." Sustainable Water Resources Management 4, no. 4: 687-697.

Article
Published: 28 February 2017 in Journal of Earth System Science
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An innovative approach for drought identification is developed using Multi-Criteria Decision Making (MCDM) and Artificial Neural Network (ANN) models from surveyed drought parameter data around the Dhalai river watershed in Tripura hinterlands, India. Total eight drought parameters, i.e., precipitation, soil moisture, evapotranspiration, vegetation canopy, cropping pattern, temperature, cultivated land, and groundwater level were obtained from expert, literature and cultivator survey. Then, the Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) were used for weighting of parameters and Drought Index Identification (DII). Field data of weighted parameters in the meso scale Dhalai River watershed were collected and used to train the ANN model. The developed ANN model was used in the same watershed for identification of drought. Results indicate that the Limited-Memory Quasi-Newton algorithm was better than the commonly used training method. Results obtained from the ANN model shows the drought index developed from the study area ranges from 0.32 to 0.72. Overall analysis revealed that, with appropriate training, the ANN model can be used in the areas where the model is calibrated, or other areas where the range of input parameters is similar to the calibrated region for drought identification.

ACS Style

Sainath Aher; Sambhaji Shinde; Shantamoy Guha; Mrinmoy Majumder. Identification of drought in Dhalai river watershed using MCDM and ANN models. Journal of Earth System Science 2017, 126, 21 .

AMA Style

Sainath Aher, Sambhaji Shinde, Shantamoy Guha, Mrinmoy Majumder. Identification of drought in Dhalai river watershed using MCDM and ANN models. Journal of Earth System Science. 2017; 126 (2):21.

Chicago/Turabian Style

Sainath Aher; Sambhaji Shinde; Shantamoy Guha; Mrinmoy Majumder. 2017. "Identification of drought in Dhalai river watershed using MCDM and ANN models." Journal of Earth System Science 126, no. 2: 21.

Book chapter
Published: 30 June 2016 in Crystallizing Ideas – The Role of Chemistry
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Groundwater is the earth’s largest freshwater resource. The land-use changes can affect the hydrologic entities and have a potential impact on the quality of groundwater directly or indirectly. In view of this, 20 groundwater samples from Sangamner area, 13 from irrigated area, and 7 from non-irrigated area were analyzed for September 2007 and September 2014. The physical and chemical parameters such as pH, electrical conductivity (EC), total dissolved solids (TDS), Ca2+, Mg2+, Na+, K+, Cl−, HCO3 −, SO4 2−, NO3 −, B, Fe and Mn were determined by standard methods. The changes in land-use were measured from remote sensing (RS) data with the help of geographical information system (GIS) software. Moreover, geostatistics techniques like Kriging method were used for the spatial estimation of selected parameters. It was found that most of the parameters showed higher values in the majority of the samples from irrigated area. Increased salinization has resulted into large scale non-agricultural area alteration to intensive agricultural area. The agricultural area was 44.27 % in 2007 and increased to 49.01 % in 2014. This land-use change in the study area has favored the establishment of agro-based industries, which are responsible for the deterioration of groundwater quality. Assessing the quality of groundwater is difficult due to spatio-temporal variability of multiple contaminants. Therefore, this contribution suggests a GIS and RS-based groundwater quality assessment for improved spatial estimation. Educating the farmers to adopt better farm management practices, proper selection of crops, controlled use of chemical fertilizers, suitable cropping pattern and proper disposal of industrial toxic materials have been suggested to decrease the problem of groundwater quality in the study area.

ACS Style

Keshav K. Deshmukh; Sainath Aher. Impact of Land-Use Changes on Groundwater Quality from Sangamner Area, Maharashtra, India. Crystallizing Ideas – The Role of Chemistry 2016, 209 -226.

AMA Style

Keshav K. Deshmukh, Sainath Aher. Impact of Land-Use Changes on Groundwater Quality from Sangamner Area, Maharashtra, India. Crystallizing Ideas – The Role of Chemistry. 2016; ():209-226.

Chicago/Turabian Style

Keshav K. Deshmukh; Sainath Aher. 2016. "Impact of Land-Use Changes on Groundwater Quality from Sangamner Area, Maharashtra, India." Crystallizing Ideas – The Role of Chemistry , no. : 209-226.

Journal article
Published: 07 April 2016 in Geosciences
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The Koyna-Warna area in Maharashtra, Western India, is one of the world’s best examples of reservoir-induced seismicity. The occurrence of earthquakes in the vicinity of Koyna Dam (Shivaji Sagar Lake) started since 1962, soon after the initiation of water impoundment. To understand the tectonics and seismicity of the region, recent Landsat 8 images and Sentinel radar data were evaluated in GIS, as well as SRTM and ASTER Digital Elevation Model data (DEM) and the DEM-derived morphometric maps. Geophysical and climate data were also included in the GIS database. The analysis of satellite data contributed towards understanding the tectonic framework of the Koyna reservoir area by visual lineament analysis. Thus, Landsat 8 and Sentinel radar data brought out the structural pattern and made visible larger fault zones. The detailed lineament analysis detected areas, presumed to have rocks of relatively higher permeability, supporting intrusion and infiltration of surface water. The resulting maps of weighted overlay procedures derived from causal morphometric factors that influence the susceptibility to ground motion revealed areas with higher, medium and lower susceptibility to soil amplification.

ACS Style

Barbara Theilen-Willige; Sainath P. Aher; Praveen B. Gawali; Laxmi B. Venkata. Seismic Hazard Analysis along Koyna Dam Area, Western Maharashtra, India: A Contribution of Remote Sensing and GIS. Geosciences 2016, 6, 20 .

AMA Style

Barbara Theilen-Willige, Sainath P. Aher, Praveen B. Gawali, Laxmi B. Venkata. Seismic Hazard Analysis along Koyna Dam Area, Western Maharashtra, India: A Contribution of Remote Sensing and GIS. Geosciences. 2016; 6 (2):20.

Chicago/Turabian Style

Barbara Theilen-Willige; Sainath P. Aher; Praveen B. Gawali; Laxmi B. Venkata. 2016. "Seismic Hazard Analysis along Koyna Dam Area, Western Maharashtra, India: A Contribution of Remote Sensing and GIS." Geosciences 6, no. 2: 20.

Journal article
Published: 28 March 2016 in Water Resources Management
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The present work aims at assessing the impact of MSW on the groundwater quality around dumping yard site, located near the Sangamner city by water quality index (WQI) and its integration in geographical information system (GIS). Groundwater samples (n = 15) around the dumping yard were collected using Garmin GPS device in October 2013 and October 2014. Physico-chemical analysis of same samples was carried out for pH, EC, TDS, Na+, K+,Ca2+, Mg2+, TH, Cl−, HCO3−, SO42− and NO3− along with the heavy metals like Fe, Zn, Cd and Cr by using standard methods. Similarly, SAR, KRs, RSC and SSP were also calculated to know the groundwater quality into irrigation perspective. WQI for 15 samples were calculated using physico-chemical results/data of 12 parameters and its desirable limit of BIS standard. Generated WQI (z) for October 2013 and October 2014 were integrated with latitude (y) and longitude (x) values, collected using GPS during the field work. Integrated xyz data were then interpolated in Surfer-10 GIS software using inverse distance weight (IDW) method to estimate the groundwater quality of the study area. Study revealed that the groundwater quality around the dumping yard area does not confirm to drinking and domestic purposes as per the WQI and BIS standard. However, the groundwater quality is marginally suitable for irrigation as per SAR, KRs, RSC and SSP. The influence of leachate from MSW dumping site to surrounding groundwater is creating a serious concern and susceptible to potential health hazards. Thus, continuous monitoring of groundwater is desperately required in order to minimize the groundwater pollution for control the pollution-caused MSW.

ACS Style

Keshav K. Deshmukh; Sainath Aher. Assessment of the Impact of Municipal Solid Waste on Groundwater Quality near the Sangamner City using GIS Approach. Water Resources Management 2016, 30, 2425 -2443.

AMA Style

Keshav K. Deshmukh, Sainath Aher. Assessment of the Impact of Municipal Solid Waste on Groundwater Quality near the Sangamner City using GIS Approach. Water Resources Management. 2016; 30 (7):2425-2443.

Chicago/Turabian Style

Keshav K. Deshmukh; Sainath Aher. 2016. "Assessment of the Impact of Municipal Solid Waste on Groundwater Quality near the Sangamner City using GIS Approach." Water Resources Management 30, no. 7: 2425-2443.