Development of RRL AWBM model and investigation of its performance, efficiency and suitability in Shipra River Basin

Trivedi, Ayushi; Galkate, R. V.; Gautam, Vinay Kumar; Pyasi, S. K.

doi:10.5958/2455-7145.2021.00020.5

Cited by 10 publications

(11 citation statements)

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“…The AWBM works on the basis of three independent surface storages for computation of partial runoff from a catchment [5,6] (Figure 4). The model independently calculates water balance for each surface storage using precipitation and evapotranspiration as inputs.…”

Section: Australian Water Balance Modelmentioning

confidence: 99%

Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I’s Effort in Water Resources Disaster Mitigation

Muttaqin,

Nugrahany

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Given the vital role of water resources and their vulnerability to climate-driven disasters, especially floods and droughts, the need for effective disaster mitigation strategies in water resource management is evident. PJT-I, a key player in the industry, grapples with this challenge. To address it, PJT-I has embraced the Smart Water Management System (SWMS) platform and innovative enhancements in rainfall-runoff modeling, showcasing their dedication to bolstering real-time monitoring and predictive capabilities. These advances hold the promise of strengthening operational water resource management, spanning allocation and infrastructure operations, and are particularly relevant in the face of escalating extreme weather events. The study’s focus on the Sengguruh reservoir catchment area serves as an illustration, highlighting the creation of two hydrometric-based models: the AWLR Gadang model and the Sengguruh reservoir model. Their effectiveness is validated through data calibration and integration of GFS forecast data, enabling 120-hour forecasting. Rigorous assessment involving correlation, efficiency, determination, and error metrics provides insights into the models’ predictive capacities and limitations amid the dynamic interplay of rainfall-runoff dynamics.

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Section: Australian Water Balance Modelmentioning

confidence: 99%

Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I’s Effort in Water Resources Disaster Mitigation

Muttaqin,

Nugrahany

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…Compared to conventional fields, organic fields include a greater variety of rare plant species [58]. Results from studies on bird species [61] and mammals [59,60] are consistent.…”

Section: The Organic / Conventional Divide and Biodiversitymentioning

confidence: 99%

Fields of Balance: An Extensive Analysis of Conventional and Organic Agriculture in the Contemporary Era

Gupta,

Bagora,

Singh

et al. 2024

IJECC

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By 2050, it is projected that there will be 10 billion people on the planet who need to be fed. Meeting these demands and maintaining environmental protection will be greatly dependent on the paradigms of conventional and organic agriculture. By following the historical origins of these two agricultural paradigms and examining their methods, effects, financial implications, and contributions to global food security, this review critically analyses them. We draw emphasis to the environmental footprints, paying special focus to biodiversity, greenhouse gas emissions, water management, and soil health. A deeper examination of consumer safety, community dynamics, and global market trends will be included in the discussion of the health effects of food produced in both systems and their societal ramifications. This review makes the case for an integrated approach to agriculture that makes use of best practices from both worlds by identifying the advantages and disadvantages of both farming systems. The goal of this harmonisation is to build a sustainable agricultural future that feeds people and maintains the planet's natural equilibrium.

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“…Industry 4.0 is another technology option that has grown in importance in aeroponics. It alludes to the fourth industrial revolution, which is defined by the creation of intelligent production processes through the integration of cutting-edge technologies like the Internet of Things (IoT), artificial intelligence (AI), and data analytics [18,[41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]. Industry 4.0 technologies are becoming more and more significant in aeroponics since they provide a number of advantages for maximising plant growth and enhancing productivity [11].…”

Section: Aeroponics Technologymentioning

confidence: 99%

A Comprehensive Analysis of Technology in Aeroponics: Presenting the Adoption and Integration of Technology in Sustainable Agriculture Practices

Kumar,

Trivedi,

Nandeha

et al. 2024

IJECC

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Aeroponics is a soilless farming method in which plants are grown by sprinkling a nutrient-rich fluid over their roots. Aeroponics has changed as a result of technology, which now offers advantages including automated nutrient supply, environmental management, and plant health monitoring. A key area of concern in light of the rising global food demand, climate change, and environmental issues is sustainable agriculture. This article highlights the integration of technology, sustainability, and socio-economic elements in modern agriculture by methodically examining the development of aeroponics practices from conventional ways to innovative modern techniques. When agronomic practices are viewed historically, they show a shift from labor-intensive, antiquated techniques to precision-based, technology-driven processes. Even though they were sustainable, traditional methods frequently had efficiency and scalability issues. A big change came with the arrival of the Green Revolution, which brought synthetic inputs and high-yield crop varieties. However, a reevaluation towards more sustainable practices was spurred by the approaches' long-term ecological implications. Precision agriculture, which makes use of sensor-based monitoring systems, artificial intelligence (AI), satellite and drone technologies, is a major feature of modern agronomy breakthroughs. According to the systematic research, Industry 4.0 and sensor technology are the most often used technologies in aeroponics. Numerous advantages, including time efficiency and sustainability, have come from these technologies. On the other hand, the research focused on power dependence and technical complexity as the primary obstacles in technology-assisted aeroponics.

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Development of RRL AWBM model and investigation of its performance, efficiency and suitability in Shipra River Basin

Cited by 10 publications

References 0 publications

Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I’s Effort in Water Resources Disaster Mitigation

Development of an Integrated Observation Data and Global Numerical Weather Prediction System-Based Rainfall-Runoff Forecasting Model as PJT-I’s Effort in Water Resources Disaster Mitigation

Fields of Balance: An Extensive Analysis of Conventional and Organic Agriculture in the Contemporary Era

A Comprehensive Analysis of Technology in Aeroponics: Presenting the Adoption and Integration of Technology in Sustainable Agriculture Practices

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