Trend Analysis of Annual and Seasonal Rainfall in Tawa command Area

Nema, Sushma; Awasthi, M. K.; Nema, R. K.

doi:10.22161/ijeab/1.4.46

Cited by 9 publications

(6 citation statements)

References 4 publications

(6 reference statements)

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“…There are various techniques employed to analyze the trends and variability of precipitation and temperature , which can be broadly classified into two categories: ‘variability analysis’ and ‘trend analysis’ [ [21] , [22] , [23] , 25 , 26 ]. For this study we employ the coefficient of variation (CV) [ 44 ], ‘ the Mann-Kendall test’ [ [45] , [46] , [47] ],and ‘ Sen's estimator’ [ [48] , [49] , [50] , [51] ].…”

Section: Research Methodologiesmentioning

confidence: 99%

“…These tests are designed to handle these complexities effectively. The computations for the aforementioned analyses were carried out using various packages available in the R-project [ [48] , [49] , [50] ] and XLSTAT, 2021. These software tools provide a range of statistical functions and algorithms necessary for conducting comprehensive trend and variability analyses.…”

Section: Research Methodologiesmentioning

confidence: 99%

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Analysis of rainfall and temperature variabilities in Sidama regional state, Ethiopia

Yona,

Matewos,

Sime

2024

Heliyon

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Section: Research Methodologiesmentioning

confidence: 99%

Section: Research Methodologiesmentioning

confidence: 99%

Analysis of rainfall and temperature variabilities in Sidama regional state, Ethiopia

Yona,

Matewos,

Sime

2024

Heliyon

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“…Consequently, recent research on groundwater recharge zones in various countries such as China, Iran, Saudi Arabia, Taiwan, etc. has revealed that the groundwater resource is diminishing [3][4][5][6][7][8][9][10][11][12][13]. Geophysical data with geospatial data have been integrated by many researchers [14,15].…”

Section: Introductionmentioning

confidence: 99%

Groundwater Assessment Using MIF Technique in a Small Basin of Malwa Region, Madhya Pradesh, India

Priyamvada M.,

Sahu,

Awasthi

et al. 2023

IJECC

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Water, a vital natural resource and essential component for all living organisms, exists in two primary forms: surface water and groundwater. Groundwater, a significant global resource, is unevenly distributed worldwide. Enhancing groundwater recharge is a fundamental hydrological parameter for assessing, managing, and modelling groundwater resources. However, determining recharge rates is a complex and challenging task, despite its crucial role in recharge assessments. The current study has been conducted in northwest part of Madhya Pradesh. The Neemuch and Mandsaur district comes under semi-arid zones and faces the problem of scarcity of water annually. The primary objective of this study is to evaluate groundwater potential zones using an integrated approach using geospatial tools. Various thematic parameters i.e., slope, rainfall, geology, drainage density lineaments, geomorphology and soil were considered for identifying evaluate potential zones. Thematic maps were generated using SRTM DEM, Sentinel-2 Imagery, and Survey of India (SOI) toposheets at a scale of 1:50000. The selected thematic factors were integrated for the determination of the groundwater potential of the study area, with appropriate weightage factors given to different themes by means of the multi-influencing factor (MIF) approach. This process was repeated for other layers, resulting in reclassified layers. These layers were then combined to delineate zones classified as “very good”, “good”, “moderate”, “poor”, and “very poor” for groundwater potential. The assessment of groundwater potential information using geospatial techniques can aid in identifying suitable locations for providing safe drinking water to rural populations. This comprehensive integrated approach of RS and GIS in assessing groundwater potentiality offers valuable insights for effective identification of suitable areas to meet the potable water needs of rural communities.

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“…In order to determine the groundwater level trend non-parametric method i.e., Mann Kendall was applied in Ghat Parbha River Basin (India), they applied regression analysis and Mann Kendall method to determine the relationship between the drought and groundwater level (Pathak and Dodamani, 2019). The effect of linear rainfall patterns at the study area was also evaluated using the Mann Kendall approach (Nema et al, 2016). Innovative trend analysis also provides graphical and statistical representation (Şen, 2017) which provides a more easier, simple and quick approach about trend analysis.…”

Section: Introductionmentioning

confidence: 99%

Charectarization of Groundwater Level Zones Using Innovative Trend & Regression Analysis: Case Study at Rechna Doab-Pakistan

Abbas

Arshad

Shahid

2022

Preprint

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Groundwater plays a pivotal role in the economy of the country. In Pakistan it is the second largest source which is used for irrigation, drinking and domestic uses. Its variation requires to be monitored for promising groundwater level (GWL), it has been observed that GWL is declining, and the tendency could be monitored by regression and Innovative Trend Analysis (ITA) over the 2006 to 2019 period at Tehsil level. ITA and Linear Regression provides a convalescent approach to display increasing, decreasing or no trend on time series. Therefore, we have executed a study in Rechna doab to investigation where, 134 borehole data was spatially segregated and their mean values at tehsil wise in Rechna doab were utilized during 2006–2019 period at pre-monsoon (June) and post-monsoon (October). It was concluded that during Pre-Monsoon season, two tehsils (Faisalabad and Shakarghar) showed improving (increase downward) water level trend while 17 tehsils showed decrease (upward) in groundwater level trend and 9 tehsils showed no trend. Similarly, during Post-Monsoon season, 2 tehsils (i.e., Nankana and Shakarghar) showed increasing while 14 tehsils showed decreasing, and 12 tehsils indicated no trend. This study provided a secure, simple, and detailed analysis concerning the increasing or decreasing trend over a long period of time. Zones in terms of groundwater level were established to indicate the low, moderate, and high-water levels at tehsil wise. It is therefore recommended that Innovative Trend Analysis could be utilized to predict the climate change trend on natural resources over time.

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Trend Analysis of Annual and Seasonal Rainfall in Tawa command Area

Abstract: Abstract-

Cited by 9 publications

References 4 publications

Analysis of rainfall and temperature variabilities in Sidama regional state, Ethiopia

Analysis of rainfall and temperature variabilities in Sidama regional state, Ethiopia

Groundwater Assessment Using MIF Technique in a Small Basin of Malwa Region, Madhya Pradesh, India

Charectarization of Groundwater Level Zones Using Innovative Trend & Regression Analysis: Case Study at Rechna Doab-Pakistan

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Trend Analysis of Annual and Seasonal Rainfall in Tawa command Area

Abstract: Abstract-

Cited by 9 publications

References 4 publications

Analysis of rainfall and temperature variabilities in Sidama regional state, Ethiopia

Analysis of rainfall and temperature variabilities in Sidama regional state, Ethiopia

Groundwater Assessment Using MIF Technique in a Small Basin of Malwa Region, Madhya Pradesh, India

Charectarization of Groundwater Level Zones Using Innovative Trend &amp; Regression Analysis: Case Study at Rechna Doab-Pakistan

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Product

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Charectarization of Groundwater Level Zones Using Innovative Trend & Regression Analysis: Case Study at Rechna Doab-Pakistan