Impact of climate change induced future rainfall variation on dynamics of arid-humid zone transition in the western province of India

Panda, Kanhu Charan; Singh, Rattan; Singh, Vijay Kumar; Singla, Saurav; Paramaguru, P.

doi:10.1016/j.jenvman.2022.116646

Cited by 15 publications

(4 citation statements)

References 103 publications

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“…Due to the constantly changing climate, arid and humid regions of India have shown extraordinary variance in recent decades. In actuality, the area of the arid region may see a slight increase by the end of the twenty-first century, while the humid zone would grow by 24.28 to 36.09% and the semi-arid and semi-humid zones by 5.52 to 9.74% and 19.94 In-In 28.52%, respectively, in western province of India (Panda et al, 2023) .Indirectly contributing to the loss of biodiversity is the movement of a climate zone towards aridity, which lowers available soil moisture, soil fertility, and microorganism activity. Crop output and biodiversity would both suffer greatly from transitions.…”

Section: Changes In India's Vulnerability Landscape Over the Yearsmentioning

confidence: 99%

Review of Various Climate Change Exacerbated Natural Hazards in India and Consequential Socioeconomic Vulnerabilities

Charak,

Ravi,

Verma

2024

IDRiM Journal

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Climate change has been a major existential threat to humanity, and much-debated predictions of its devastating consequences are becoming a reality. The various natural hazards and disasters are a cause of grave concern, and there is a need to study these hazards, their impact on the society, the nation’s economy, and various other vulnerabilities in the future. There is a huge gap in understanding the impact of climate change on the society, and it seems that we all are living in a state of denial. So, there is a strong need to combine all available data in one document to give a holistic view of actual problem. Therefore, this paper, will review the various likely vulnerabilities in front of India and how climate change will exacerbate the Natural hazards. It will also bring out the likely impacts of climate change on the India’s economy.Moreover, it’s evident from this review that India’s vulnerability to climate change and consequential hazards is greatly amplified because of its socioeconomic, demographic, and geographic characteristics and large population, which strain the existing infrastructure. Various findings based on review of data is also listed at the end to give the consolidated outcomings of the review, which highlight the major threats as heat waves, erratic precipitation, cyclones and floods. The paper will also highlight how developing countries like India are spearheading the drive to decrease the carbon footprint and prevent further impacts on the climate.

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Section: Changes In India's Vulnerability Landscape Over the Yearsmentioning

confidence: 99%

Review of Various Climate Change Exacerbated Natural Hazards in India and Consequential Socioeconomic Vulnerabilities

Charak,

Ravi,

Verma

2024

IDRiM Journal

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“…Proper quantification of rainfall variations caused by climate change in climate zone transitions remains a challenge (Panda et al, 2023). The higher the intensity of rainfall, the higher the potential for soil material landslides.…”

Section: Rainfallmentioning

confidence: 99%

Spatial Mapping Based on the Settlement Carrying Capacity Value in Gunungpati District, Semarang City

2023

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The City Regional Spatial Plan (RTRW) for Semarang City stipulates that Gunungpati District has a role in developing residential cultivation areas with the determination of several protected area types as well as functioning as a strategic environmental carrying capacity area for the city. Based on Semarang City BPBD, 29 landslides occurred between 2016-2021, which damaged houses, facilities, and residential infrastructure. This study aims to produce spatial mapping for residential area designations through the calculation of its carrying capacity so as to obtain the carrying capacity value or classification of the ability of each village area to accommodate the number of residents. This can then be used as one of the basic considerations in determining the development of residential areas in Gunungpati District. This study uses the quantitative method to determine the residential land's carrying capacity through spatial mapping data processing based on geographic information systems (GIS) using scoring, weighting, and overlay techniques. The spatial mapping produces a landslide vulnerability map with vulnerability classifications covering very low (1.468,17 Ha) to very vulnerable (466.53 Ha) classes as well as cultivation function, buffer, and protected areas distribution in Gunungpati District. The final results show that each region can accommodate the population increase of each village in Gunungpati District, with Jatirejo Village scoring the highest in DDPm value (26.9) and Sukorejo Village scoring the lowest (5.7). Keywords: Landslides, carrying capacity, settlement

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“…Mathematical and analytical models have been used to solve those complex nonlinear diffusion and mass transfer processes 21 – 25 . wagenet 26 used mathematical methods to describe the transport and transformation of urea into and in soil.…”

Section: Introductionmentioning

confidence: 99%

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique

Swain,

Khura,

Sahoo

et al. 2024

Sci Rep

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An accurate assessment of nitrate leaching is important for efficient fertiliser utilisation and groundwater pollution reduction. However, past studies could not efficiently model nitrate leaching due to utilisation of conventional algorithms. To address the issue, the current research employed advanced machine learning algorithms, viz., Support Vector Machine, Artificial Neural Network, Random Forest, M5 Tree (M5P), Reduced Error Pruning Tree (REPTree) and Response Surface Methodology (RSM) to predict and optimize nitrate leaching. In this study, Urea Super Granules (USG) with three different coatings were used for the experiment in the soil columns, containing 1 kg soil with fertiliser placed in between. Statistical parameters, namely correlation coefficient, Mean Absolute Error, Willmott index, Root Mean Square Error and Nash–Sutcliffe efficiency were used to evaluate the performance of the ML techniques. In addition, a comparison was made in the test set among the machine learning models in which, RSM outperformed the rest of the models irrespective of coating type. Neem oil/ Acacia oil(ml): clay/sulfer (g): age (days) for minimum nitrate leaching was found to be 2.61: 1.67: 2.4 for coating of USG with bentonite clay and neem oil without heating, 2.18: 2: 1 for bentonite clay and neem oil with heating and 1.69: 1.64: 2.18 for coating USG with sulfer and acacia oil. The research would provide guidelines to researchers and policymakers to select the appropriate tool for precise prediction of nitrate leaching, which would optimise the yield and the benefit–cost ratio.

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Impact of climate change induced future rainfall variation on dynamics of arid-humid zone transition in the western province of India

Cited by 15 publications

References 103 publications

Review of Various Climate Change Exacerbated Natural Hazards in India and Consequential Socioeconomic Vulnerabilities

Review of Various Climate Change Exacerbated Natural Hazards in India and Consequential Socioeconomic Vulnerabilities

Spatial Mapping Based on the Settlement Carrying Capacity Value in Gunungpati District, Semarang City

Proportional impact prediction model of coating material on nitrate leaching of slow-release Urea Super Granules (USG) using machine learning and RSM technique

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