A. A. Atre

Mahatma Phule Krishi Vidyapeeth

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S. A. Kadam

Mahatma Phule Krishi Vidyapeeth

S. D. Gorantiwar

Mahatma Phule Krishi Vidyapeeth

B. K. Gavit

Mahatma Phule Krishi Vidyapeeth

G. L. Chunale

Natural Resources Conservation Service

Sachin P. Shinde

Central Food Technological Research Institute

Chaitanya B. Pande

Indian Institute of Tropical Meteorology

G. B. Bangal

Neyara Radwan

Suez Canal University

V. N. Barai

Mahatma Phule Krishi Vidyapeeth

Subodh Chandra Pal

University of Burdwan

Cooperative Institutions

Mahatma Phule Krishi Vidyapeeth

University of Tabriz

Swami Vivekanand College of Pharmacy

Ministry of Water Resources and Irrigation

Marymount University

Indian Institute of Technology Bombay

Centre for Development of Advanced Computing

Washington State University

Sardar Patel University

Suez Canal University

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Assessment of groundwater potential zone mapping for semi-arid environment areas using AHP and MIF techniques

Environmental Sciences Europe (2024)

Sachin P. Shinde V. N. Barai B. K. Gavit S. A. Kadam A. A. Atre

Abstract Groundwater resources are essential for drinking water, irrigation, and the economy mainly in semiarid environments where rainfall is limited. Currently, unpredictable rainfall due to climate change and pollution on the Earth’s surface directly affects groundwater resources. In this area, most people depend on groundwater resources for irrigation and drinking purposes, and every summer, most of the area depends on groundwater in a semiarid environment. Hence, we selected two popular methods, the analytical hierarchy process (AHP) and multiple influence factor (MIF) methods, which can be applied to map groundwater potential zones. Nine thematic layers, such as land use and land cover (LULC), geomorphology, soil, drainage density, slope, lineament density, elevation, groundwater level, and geology maps, were selected for this study using remote sensing and geographic information system (GIS) techniques. These layers are integrated in ArcGIS 10.5 software with the help of the AHP and MIF methods. The map of the groundwater potential zones in the study area revealed four classes, i.e., poor, moderate, good, and very good, based on the AHP and MF methods. The groundwater potential zone area is 241.50 (ha) Poor, 285.64 (ha) moderate, 408.31 (ha) good, and 92.75 (ha) very good using the AHP method. Similarly, the MIF method revealed that the groundwater potential classes were divided into four classes: 351.29 (ha) poor, 511.18 (ha), moderate, 123.95 (ha) good, and 41.78 (ha) very good. The results were compared to determine which methods are best for planning water and land resource development in specific areas that have basaltic rock and drought conditions. Both groundwater potential zone maps were validated with water yield data. The receiver operating characteristic (ROC) curve and area under the curve (AUC) model results are found to be 0.80 (good) and 0.93 (excellent) using the MIF and AHP methods, respectively; hence, the AHP method is best for delineation of groundwater potential zone maps and groundwater resource planning. The present study’s framework and the results will be valuable for improving the efficiency of irrigation, conserving rainwater and maintaining the ecosystem in India.

10.1186/s12302-024-00906-9

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Citations (7)

Characterization of basaltic rock aquifer parameters using hydraulic parameters, Theis’s method and aquifer test software in the hard rock area of Buchakewadi watershed Maharashtra, India

Applied Water Science (2022)

Sachin P. Shinde V. N. Barai Nadhir Al‐Ansari B. K. Gavit S. A. Kadam

Abstract The twelve wells were selected to carry out the various test, duration of pumping (min), maximum draw drown (m), duration of recovery (min), residual drawdown, and aquifer type in the basaltic rock aquifer parameters of Buchakewadi watershed. The source and flow of groundwater are essential concerns in hydrological systems that concern both spatially and temporally components of groundwater discharge and water supply problems. The content and temperature of groundwater flowing through an aquifer might change depending on the aquifer environment. As a result, hydrodynamic analyses can provide valuable information about a region's subsurface geology. The present research attempts of aquifer variables such as transmissivity ( T ) and storativity ( S ) estimation are significant for groundwater resource development and evaluation. There are numerous approaches for calculating precise aquifer characteristics (i.e., hydrograph analysis, pumping test, etc.). A most frequent in situ analysis is a well-pumping test, which accurately measures the decline and rise of groundwater levels. During an aquifer pumping test, to characterize aquifer properties in an undiscovered location to forecast the rate of depletion of the groundwater table/potentiometric surface. The shallow, weathering subsurface water accessible above the Deccan traps in an unconfined state is insufficient to satisfy the ever-increasing pressure on water supplies. Maharashtra is similarly dominated by hard rocks, whose rainfall susceptibility is limited by weathering and primary porosity, as is their volume to store and convey water. Based on the hydraulic parameters and Theis method, results are optimized. Aquifer mapping and pumping test results can be more important for solving problems such as water scarcity, nonpolluting water, health issues, and source of fresh water on the earth surface. However, the characterization of aquifer parameters should be significant role in the scientific planning and engineering practices.

Aquifer test

Cone of depression

Drawdown (hydrology)

Groundwater model

Slug test

Aquifer properties

Specific storage

10.1007/s13201-022-01731-2

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Impact Assessment of Soil and Water Conservation Measures on Carbon Sequestration: A Case Study for the Tropical Watershed Using Advanced Geospatial Techniques

Sustainability (2022)

Rahul Shelar Sachin Nandgude Mukesh Tiwari S. D. Gorantiwar A. A. Atre

A sustainable method for protecting natural resources is the adoption of recommended soil and water conservation (SWC) measures. SWC measures are well recognized for their effective soil protection and water harvesting. Unfortunately, their significance in climate change mitigation has yet to receive global attention. The present study was conducted to highlight the applicability of SWC measures for carbon management in watersheds. In this study, the impact of SWC measures on land cover, soil erosion, carbon loss, and carbon sequestration were investigated using advanced techniques of remote sensing (RS) and geographic information systems (GIS). The study was conducted in the Central Mahatma Phule Krishi Vidyapeeth (MPKV) campus watershed, located in the rainfed region of Maharashtra, India. The watershed is already treated with various scientifically planned SWC measures. Following the implementation of conservation measures in the watershed, average annual soil loss was reduced from 18.68 to 9.41 t ha−1yr−1 and carbon loss was reduced from 348.71 to 205.52 kgC ha−1yr−1. It was found that deep continuous contour trenches (DCCT) constructed on barren, forest, and horticultural land have the soil carbon sequestration rates of 0.237, 0.723, and 0.594 t C ha−1yr−1, respectively, for 0–30 cm depth of soil. Similarly, compartment bunds constructed on agricultural land have a soil carbon sequestration rate of 0.612 t C ha−1yr−1. These findings can be of great importance in the planning and management of climate-resilient watersheds.

Watershed Management

Soil carbon

Land Cover

10.3390/su15010531

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Citations (3)

Surface water dynamics analysis based on sentinel imagery and Google Earth Engine Platform: a case study of Jayakwadi dam

Sustainable Water Resources Management (2021)

Vidya. U. Kandekar Chaitanya B. Pande J. Rajesh A. A. Atre S. D. Gorantiwar

Earth observation

10.1007/s40899-021-00527-7

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Citations (66)

ESTIMATION OF SUSPENDED SEDIMENT CONCENTRATION USING SENTINEL-2 BAND FUNCTIONS IN MULA RESERVOIR, RAHURI, INDIA

Environmental Engineering and Management Journal (2023)

Janhavi Joshi A. A. Atre Sachinkumar Nandgude Mukund G. Shinde A. G. Durgude

To understand how the physical, chemical, biological, and environmental components interact, it is important to know what the suspended sediment concentration (SSC) is.To assess the suspended sediment concentrations in oceans, lakes, rivers, and coastal waterways remotely sensed spectral radiant energy collected by satellite sensors can offer a different, synoptic, quick, and affordable technique.Therefore, various sentinel-2 satellite band functions after observing spectral signature of suspended sediments in Mula dam reservoir were calibrated against observed SSC at various locations in Mula dam reservoir located at Rahuri, Maharashtra during October 2021 and February 2022.Observed SSC ranged between 15.62 and 137.65 mg/L during this period.Widely used linear, power, quadratic, exponential and logarithmic functions of various band combinations/ratios were calibrated using 80% data set.Best performing power function of (Red + Green) / 2 (R 2 =0.8),Red + NIR (R 2 =0.79), polynomial function of Red / Blue (R 2 =0.71) and logarithmic function of Red Edge 1/ Blue (R 2 =0.62) were further validated to estimate SSC.Estimated SSC and observed SSC of validation dataset were compared using visual interpretation and further subjected to linear regression t-test and student t-test.Statistical error and efficiency models (Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and Nash-Sutcliffe Efficiency (NSE)) were applied after validation to find out most suitable band combination for estimation SSC in Mula dam reservoir.Power function of (Red + Green / 2) with R 2 =0.73,RMSE = 16.185,NSE=0.728 and MAPE = 26.70 % of validation is selected for spatio-temporal mapping of SSC in Mula dam reservoir.The results demonstrate that the applicability of calibration/validation technique developed for the empirical modelling of suspended sediment in Mula dam reservoir using high resolution sensor.Temporal variation of SSC over the period of six months shows the increased SSC towards the portion where river enters the reservoir than in the central portion of reservoir.Moreover, average SSC in Mula dam reservoir immediately after rainy season (October month) was found more than that in summer months.This highlights the applicability of SSC mapping using empirical band function.

10.30638/eemj.2023.029

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Citations (0)

Probability distribution functions for unit hydrographs with optimization using genetic algorithm

Applied Water Science (2015)

Mohammad Ali Ghorbani Vijay P. Singh Bellie Sivakumar Mahsa Hasanpour Kashani A. A. Atre

A unit hydrograph (UH) of a watershed may be viewed as the unit pulse response function of a linear system. In recent years, the use of probability distribution functions (pdfs) for determining a UH has received much attention. In this study, a nonlinear optimization model is developed to transmute a UH into a pdf. The potential of six popular pdfs, namely two-parameter gamma, two-parameter Gumbel, two-parameter log-normal, two-parameter normal, three-parameter Pearson distribution, and two-parameter Weibull is tested on data from the Lighvan catchment in Iran. The probability distribution parameters are determined using the nonlinear least squares optimization method in two ways: (1) optimization by programming in Mathematica; and (2) optimization by applying genetic algorithm. The results are compared with those obtained by the traditional linear least squares method. The results show comparable capability and performance of two nonlinear methods. The gamma and Pearson distributions are the most successful models in preserving the rising and recession limbs of the unit hydographs. The log-normal distribution has a high ability in predicting both the peak flow and time to peak of the unit hydrograph. The nonlinear optimization method does not outperform the linear least squares method in determining the UH (especially for excess rainfall of one pulse), but is comparable.

Gumbel distribution

Least-squares function approximation

10.1007/s13201-015-0278-y

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Citations (20)

On the initial abstraction of SCS Curve Number model for various storm sizes in Sub-humid region of Maharashtra-II

Indian Journal of Soil Conservation (2001)

G. L. Chunale A. A. Atre G. B. Bangal S. M. Kareppa

Abstraction

Source

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Modeling Direct Runoff Hydrograph Using GAMMA Distribution Function

Journal of Agricultural Engineering (India) (2008)

Rohit V Patil A. A. Atre G. L. Chunale N. L. Bote Geleta Guta

Gamma distribution function can have variety of shapes including single peaked positively skewed graph having unit area under the curve, which perfectly matches the graphical presentation of unit hydrograph. The shape and scale parameters can be evaluated from the observed peak runoff rate and time to peak duration by iterative method. Unit hydrograph assumes uniformly distributed storm over the entire area of the watershed hence, a small experimental watershed of 0.12 sq. km at Zonal Agricultural Research Station, Shenda Park, Kolhapur (India) was considered for the. application of model. In this paper a different approach of evaluation of a and /3 have been given with computer program in C language, which will be more effective in computation of shape and scale parameters of Gamma distribution function for modeling the unit hydrograph and then converting to the direct runoff hydrograph. The results of regeneration of direct runoff hydrograph shows very good fit of the observed and computed peak flow and volume under direct runoff hydrograph. The average values of shape and scale parameters also gave better fit of direct runoff hydrograph.

10.52151/jae2008453.1341

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