Deepesh Machiwal

ORCID: 0000-0002-5659-9783
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About
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Research Areas
  • Hydrology and Watershed Management Studies
  • Hydrology and Drought Analysis
  • Groundwater and Watershed Analysis
  • Water resources management and optimization
  • Hydrological Forecasting Using AI
  • Irrigation Practices and Water Management
  • Climate variability and models
  • Groundwater and Isotope Geochemistry
  • Flood Risk Assessment and Management
  • Soil erosion and sediment transport
  • Groundwater flow and contamination studies
  • Water Quality and Pollution Assessment
  • Climate change impacts on agriculture
  • Water Systems and Optimization
  • Water-Energy-Food Nexus Studies
  • Soil and Unsaturated Flow
  • Agricultural Economics and Practices
  • Neural Networks and Applications
  • Agronomic Practices and Intercropping Systems
  • Soil Geostatistics and Mapping
  • Time Series Analysis and Forecasting
  • Greenhouse Technology and Climate Control
  • Peanut Plant Research Studies
  • Complex Systems and Time Series Analysis
  • Agroforestry and silvopastoral systems

Central Arid Zone Research Institute
2015-2024

Maharana Pratap University of Agriculture and Technology
2008-2016

Indian Institute of Technology Kharagpur
2004-2016

TCI College of Technology
2008-2011

The study area is Udaipur district, which situated in hard-rock hilly terrain of Rajasthan, India. In this study, spatio-temporal variations fifteen groundwater quality parameters are explored by box–whisker plots, trends detected and quantified, GIS-based index (GQI) computed. For the first time, scores principal component analysis (PCA) combined with geostatistical modeling following a sound methodology comprehensive manner to identify sources contamination. Box–whisker plots revealed...

10.1016/j.ejrh.2014.11.005 article EN cc-by-nc-nd Journal of Hydrology Regional Studies 2015-01-08
Mehdi Rahmati Lutz Weihermüller Jan Vanderborght Yakov Pachepsky Lili Mao and 95 more Seyed Hamidreza Sadeghi Niloofar Moosavi Hossein Kheirfam Carsten Montzka Kris Van Looy Brigitta Tóth Zeinab Hazbavi Wafa Al Yamani Ammar A. Albalasmeh Ma’in Z. Alghzawi Rafael Angulo‐Jaramillo Antônio Celso Dantas Antonino George Arampatzis Robson André Armindo Hossein Asadi Yazidhi Bamutaze Jordi Batlle‐Aguilar Béatrice Bechet Fabian Becker Günter Blöschl Klaus Bohne Isabelle Braud Clara Castellano Artemi Cerdà Maha Chalhoub Rogerio Cichota Milena Cı́slerová Brent Clothier Yves Coquet Wim Cornelis Corrado Corradini Artur Paiva Coutinho Muriel Bastista de Oliveira José Ronaldo de Macêdo Matheus Fonseca Durães Hojat Emami Iraj Eskandari Asghar Farajnia Alessia Flammini Nándor Fodor Mamoun A. Gharaibeh Mohamad Hossein Ghavimipanah Teamrat A. Ghezzehei Simone Giertz Evangelos Hatzigiannakis Rainer Horn Juan J. Jiménez Diederik Jacques Saskia Keesstra Hamid Kelishadi سید حمیدرضا صادقی Mehdi Kouselou Madan K. Jha Laurent Lassabatère Xiaoyan Li Mark A. Liebig Ľubomír Lichner M.V. López Deepesh Machiwal Dirk Mallants Micael Stolben Mallmann Jean Dalmo de Oliveira Marques Miles R. Marshall Jan Mertens Félicien Meunier Mohammad Hossein Mohammadi Binayak P. Mohanty Mansonia Pulido‐Moncada Suzana Maria Gico Lima Montenegro Renato Morbidelli David Moret‐Fernández Ali Akbar Moosavi Mohammad Reza Mosaddeghi Seyed Bahman Mousavi Hasan Mozaffari Kamal Nabiollahi Mohammad Reza Neyshabouri Marta Vasconcelos Ottoni Theophilo Benedicto Ottoni Filho Mohammad Reza Pahlavan-Rad Andreas Panagopoulos Stephan Peth Pierre‐Emmanuel Peyneau Tommaso Picciafuoco Jean Poesen Manuel Pulido Fernández Dalvan José Reinert Sabine Reinsch Meisam Rezaei Francis Parry Roberts David A. Robinson Jesús Rodrigo‐Comino Otto Corrêa Rotunno Filho Tadaomi Saito Hideki Suganuma

Abstract. In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. total, 5023 curves were collected across all continents in SWIG These data either provided quality checked by scientists who performed experiments or they digitized from published articles. Data 54 different countries included with major contributions Iran, China, USA. addition to its extensive geographical coverage, cover research...

10.5194/essd-10-1237-2018 article EN cc-by Earth system science data 2018-07-10

Abstract Statistical analyses of hydrological time series play a vital role in water resources studies. Twenty-nine statistical tests for detecting characteristics were evaluated by applying them to analyse 46 years annual rainfall, 47 1-day maximum rainfall and consecutive 2-, 3-, 4-, 5- 6-day rainfalls at Kharagpur, West Bengal, India. The performance all the was evaluated. No severe outliers found, both found be normally distributed. Based on known physical parameters affecting...

10.1623/hysj.53.2.353 article EN Hydrological Sciences Journal 2008-03-27

The aim of this study was to investigate rainfall–groundwater dynamics over space and annual time scales in a hard-rock aquifer system India by employing series, geographic information geostatistical modelling techniques. Trends 43-year (1965–2007) rainfall series ten stations 16-year (1991–2006) pre-monsoon post-monsoon groundwater levels 140 sites were identified using Mann–Kendall, Spearman rank order correlation Kendall tests. quantified slope method. Furthermore, the involves novelty...

10.1002/hyp.9816 article EN Hydrological Processes 2013-03-15

In early and mid-twentieth century, there were speculations apprehension that the Thar Desert is spreading towards east it may cover large fertile areas of present day Punjab, Haryana, west Uttar Pradesh Rajasthan. Therefore, Government India established a Afforestation Research Station at Jodhpur, Rajasthan in 1952 mainly to focus on sand dune stabilization shelterbelt plantations reduce wind erosion. 1957, was reorganized as Soil Conservation Station. Just after two years (in 1959),...

10.16943/ptinsa/2016/48507 article EN DELETED 2016-07-01

This study used hierarchical cluster analysis (HCA) to delineate the spatial patterns of monthly, seasonal and annual rainfall by clustering 62 stations in western arid region India based on a 55 year (1957–2011) data set. The statistical properties clusters were computed box–whisker plots plotted. Furthermore, relative influence three geographical factors (longitude, latitude altitude) five parameters (the mean, standard deviation (SD), co‐efficient variation (CV), maximum minimum rainfall)...

10.1002/met.1763 article EN Meteorological Applications 2018-09-29

In this study, we focused on precise determination of actual crop evapotranspiration (ETc) groundnut in an arid region India using single load cell-based mini-lysimeters. This for the first time, integrated two water saving techniques, i.e., pressurized irrigation system through mini-sprinklers and deficit strategy. The (var. Girnar-2) was grown lysimeter as well field plots under treatments based cumulative pan evaporation (CPE), T1 (100% CPE), T2 (80% T3 (60% CPE) T4 (40% with three...

10.52151/jae2025621.1908 article EN Journal of Agricultural Engineering (India) 2025-03-22
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