Solute Transport Research Articles

Optimization and analysis of chassis for heavy electric truck under different condition

The design of heavy electric truck chassis is a critical aspect of developing sustainable and efficient transportation solutions. Heavy electric trucks, which are powered by electric motors and rely on large battery packs for energy storage. the structural integrity and strength of the chassis are of utmost importance. the integration of the battery pack into the chassis is a critical consideration. The chassis needs to accommodate the size, weight, and distribution of the battery pack while ensuring proper thermal management and protection. the unique challenges posed by these vehicles. By considering factors such as structural integrity, battery integration, lightweight materials, and other relevant design considerations, it is possible to develop efficient and sustainable heavy electric trucks that meet the demands of modern transportation.

Study of the Accuracy of the Ronen Method at Material Interfaces

The Ronen Method (RM) is a nonlinear iterative scheme that demands successive resolutions of the diffusion equation, where local diffusion constants are modified to reproduce more accurate estimates of the neutron currents by a transport operator. The methodology is currently formulated using the formalism of the collision probability method for evaluation of the current. The RM was recently tested on a complete suite of one-dimensional (1-D) multigroup benchmark problems. Small differences in the flux (less than 2%) were reported at material interfaces and close to the vacuum boundary with respect to the reference solution from transport. This work investigates first a possible numerical equivalence between transport and diffusion in some representative 1-D problems from the same benchmark test suite. The equivalence is sought with optimal diffusion coefficients computed using reference transport solutions that allow for adjusting the diffusion model. The RM, which attempts to obtain such equivalent diffusion coefficients without knowing the reference solution, is then compared to the optimal coefficients. The accuracy of the flux distribution at material interfaces is investigated for different approximations of the vacuum boundary and by decreasing progressively the RM convergence tolerance set in the iterative scheme. Using tighter convergence criteria, the RM calculates more accurate flux distributions at all material interfaces, regardless of the value of the diffusion coefficient and the extrapolated distance set at the beginning of the iterative scheme. Maximum flux deviations are remarkably reduced when the RM convergence tolerance is set to eight or more significant digits, leading to improvements in the flux deviation of two orders in magnitude and providing numerical proof for equivalence with transport in the tested configurations.

WIRELESS CHARGING FOR ELECTRICAL VEHICLES

Nowadays Wireless power transmission (WPT) is popular and gaining technology finding its application in various fields. The power is transferred from a source to an electrical load without the need of interconnections. Wireless power Transmission (WPT) is useful to power electrical devices where physical wiring is not possible or inconvenient. The technology uses the principle of mutual inductance. One of the best future applications finds in automotive sector especially in Electrical Vehicles. This project deals with research and development of wireless charging systems for Electric Vehicles using Wireless transmission. The main goal is to transmit power using resonance coupling and to build charging systems. The System deals with AC source, transmission coil, reception coil, converter and electric load which are battery. As Electric Vehicles (EVs) continue to gain popularity as a sustainable transportation solution, the need for efficient charging infrastructure becomes increasingly critical. Wireless charging technology presents a promising solution to address the limitations of traditional plug-in charging systems, offering convenience and flexibility to EV users. This Project explores the concept of wireless EV charging while the vehicle is in motion, also known as dynamic wirelesscharging (DWC). By integrating inductive power transfer (IPT) technology with dynamic charging infrastructure embedded in roadways or dedicated lanes, vehicles can replenish their batteries continuously while in motion, extending their range and reducing the need for frequent stops. Furthermore, DWC has the potential to enhance the feasibility and adoption of EVs in various sectors, including public transportation, logistics, and personal mobility. This abstract provides a comprehensive overview of the emerging field of wireless EV charging while the vehicle is inmotion, highlighting its benefits, challenges, and future prospects.

#1980 Past peritonitis episodes are linked to decreased peritoneal Immune Cell Function and Associated with Chronic Increased Peritoneal Inflammation

Abstract Background and Aims Chronic peritoneal inflammation and infectious complications occur in a significant proportion of PD patients. A relationship between peritoneal IL-6 levels and local immunocompetence is suspected. To analyse local immunocompetence, an ex-vivo stimulation assay of PD effluent was developed. The aim of this study was to analyse peritoneal inflammation and immunocompetence in a PD cohort in relation to clinical outcomes. Method Prospectively, 245 routinely performed 4-hour PETs (143 patients, 2679 patient-months) of patients exclusively receiving 2. generation PD fluids (two-chamber, pH neutral, low amount of glucose degradation products) were analysed. An ex-vivo cell stimulation protocol of the fresh effluents was performed of all PETs. Peritoneal immune cell function was analysed using ex-vivo Toll-like receptor (LPS/Pam3Cys) stimulated IL-6 release as an index of immunocompetence. The molecular effects of effluent components and the addition of alanyl-glutamine to PD fluid were analysed in heterologous cell stimulation experiments and using an effluent proteomics and metabolomics approach. Results IL-6 in the effluent showed no association with various patient characteristics (incl. RRF, underlying disease, peritonitis episodes, time on PD). A significant association of peritoneal IL-6 with solute transport rates and systemic markers of uremic inflammation was found. IL-6 in effluent (HR 2.54) and stimulated 1 h effluent (HR 0.34) was predictive of subsequent peritonitis episodes. An inverse association was observed with ex-vivo stimulated IL-6 release from peritoneal cells (P = .02), most pronounced in patients with a history of peritonitis (P = .008). Patients with above median elevated IL-6 levels showed reduced peritoneal immune cell function. The results were validated in an independent multi-centre PD cohort (n = 48). A proteomics (n = 17) and targeted metabolomics (patients n = 134, 1004 metabolites) analysis of PD effluents show an overrepresentation of apoptosis and neutrophil degranulation pathways in patients with elevated effluent IL-6 levels and reduced response mechanisms to pathogens when compared to effluents from patients with low effluent IL-6 levels. Heterologous donor-PBMC stimulation (4 Healthy donors) with 4h PET PD-effluents of 20 patients showed reduced immunocompetence with elevated IL-6 (P = .038) and improved immunocompetence when 8 mM alanyl-glutamine were added to the PD fluid during the dwell. These results could also be validated in a post-hoc analysis of a RCT testing alanyl-glutamine addition to PD fluid for 8 weeks in PD patients. Conclusion This is the first longitudinal study to show the relationship between peritoneal inflammation and impaired immune function of peritoneal cells, possibly predisposing to infectious complications. The possible underlying mechanistic link may represent the biological correlate (“immune-paralysis”) for PD patients at increased risk for recurrent episodes of peritonitis.

Desvendando a influência das heterogeneidades e da extração no fluxo de água subterrânea e no transporte de soluto em um aquífero de carbonato fraturado, na Sicília, Itália

AbstractThe migration of a groundwater contaminant plume consisting of light nonaqueous phase liquids (LNAPLs) along the Ionian coastline of Sicily, Italy, has been reported to follow a trajectory that is inconsistent with the regional hydraulic gradient. The influence of several faults affecting the fractured carbonate bedrock aquifer, and groundwater abstraction from a well, were hypothesized to be responsible for the anomalous trajectory of the contaminant plume. A conceptual hydrogeological model was developed for the study area that incorporated structural information derived from geophysical surveys and the mapping of fractures in bedrock outcrops. This conceptual model was incorporated into numerical groundwater flow and solute transport models to simulate the groundwater transport of the light nonaqueous phase liquids. Four model scenarios representing different levels of complexity were tested to assess the relative influence of geological heterogeneity and groundwater abstraction on the migration of the contaminant plume. Results show that underground major discontinuity systems, invoking the presence of the faults in the model domain accounted for the observed migration of the contaminant plume, act as conduits for groundwater flow. Conversely, groundwater abstraction from a well was found to result in relatively minor, localized impacts to the migration of the contamination plume. This study demonstrates the importance of incorporating geological heterogeneity into groundwater modelling and environmental risk assessments associated with the storage of LNAPLs.

Transcriptional changes during crown-root development and emergence in barley (Hordeum vulgare L.)

BackgroundRoots play an important role during plant growth and development, ensuring water and nutrient uptake. Understanding the mechanisms regulating their initiation and development opens doors towards root system architecture engineering.ResultsHere, we investigated by RNA-seq analysis the changes in gene expression in the barley stem base of 1 day-after-germination (DAG) and 10DAG seedlings when crown roots are formed. We identified 2,333 genes whose expression was lower in the stem base of 10DAG seedlings compared to 1DAG seedlings. Those genes were mostly related to basal cellular activity such as cell cycle organization, protein biosynthesis, chromatin organization, cytoskeleton organization or nucleotide metabolism. In opposite, 2,932 genes showed up-regulation in the stem base of 10DAG seedlings compared to 1DAG seedlings, and their function was related to phytohormone action, solute transport, redox homeostasis, protein modification, secondary metabolism. Our results highlighted genes that are likely involved in the different steps of crown root formation from initiation to primordia differentiation and emergence, and revealed the activation of different hormonal pathways during this process.ConclusionsThis whole transcriptomic study is the first study aiming at understanding the molecular mechanisms controlling crown root development in barley. The results shed light on crown root emergence that is likely associated with a strong cell wall modification, death of the cells covering the crown root primordium, and the production of defense molecules that might prevent pathogen infection at the site of root emergence.

On-site hydrogen refuelling station techno-economic model for a fleet of fuel cell buses

Fuel cell electric buses (FCBs) have proven to be a technically viable solution for transportation, owing to various advantages, such as reliability, simplicity, better energy efficiency, and quietness of operation. However, large-scale adoption of FCBs is hindered by the lack of extensive and structured infrastructure and the high cost of clean hydrogen. Many studies agree that one of the significant contributors to the lack of competitiveness of green hydrogen is the cost of electricity for its production, followed by transportation costs. On the one hand, to reduce the investment cost of the electrolyzer, high operating hours should be achieved; on the other, as the number of operating hours decreases, the impact of the electricity costs declines. This paper presents an innovative algorithm for a scalable hydrogen refuelling station (HRS) capable of successfully matching and identifying the most cost-efficient levelized cost of hydrogen (LCOH) produced via electrolysis and connected to the grid, based on the HRS components' cost curves and the hourly average electricity price profile. The objective is to identify the least-cost range of LCOH by considering both the electric energy and the investment costs associated with a hydrogen demand given by different FCB sizes and electrolyzer rated powers. In addition, sensitivity analyses have been conducted to quantify the technology cost margins, and a cost comparison between the refuelling of an FCB fleet and the recharging infrastructure required for an equivalent fleet of Battery Electric Buse (BEB) has been performed. An LCOH of around 10.5 €/kg varying from 12 €/kg (2 FCB) to 10.2 €/kg (30 FCB) has been found for the best-optimized configurations. The final major conclusion of this paper is that FCB technology is currently not economically competitive. Still, a cost contraction of the electric energy price and the electrolyzer capital investment would lead to a 50% decrease in the LCOH. Furthermore, increasing renewable energies into the grid may shift the electricity cost curve, resulting in higher prices when the BEB recharging demand is more significant. This impact, in addition to the peak power load and longer recharging times, might contribute to bridging the gap with FCBs.

A Strategic Examination of the Electric Vehicle (EV) Industry: Unveiling Opportunities and Challenges for Tesla's Continued Dominance

This study delves into a strategic examination of the burgeoning Electric Vehicle (EV) industry. By employing Porter's Five Forces framework and analyzing industry trends, the research unveils the key factors influencing competition, profitability, and growth potential. The analysis sheds light on the bargaining power of suppliers and buyers, the threat of new entrants and substitutes, and the intensity of competitive rivalry within the EV landscape.Furthermore, the study conducts an in-depth evaluation of Tesla, the current frontrunner in the EV market. It dissects Tesla's core strengths, including its brand recognition, technological innovation, and vertically integrated production model. However, the analysis also unveils potential weaknesses, such as dependence on a limited product portfolio and high production costs.By meticulously assessing the industry landscape and Tesla's competitive positioning, the research aims to identify strategic opportunities and challenges that the company faces. It explores how Tesla can leverage its current advantages to capitalize on emerging market trends, such as increasing government support for EVs and growing consumer demand for sustainable transportation solutions. Additionally, the study addresses the potential threats posed by established automakers aggressively entering the EV market and innovative startups disrupting the industry with disruptive technologies.Ultimately, the strategic examination provides valuable insights for investors, business leaders, and industry stakeholders. It offers a comprehensive understanding of the competitive dynamics shaping the future of the EV industry and helps to assess Tesla's potential for continued dominance in this rapidly evolving market.

Social Aspects of Smart Urban Mobility

There is a growing interest in sustainable urban transport solutions in cities around the world. These changes, known as “smart urban mobility”, aim to reduce the negative effects of transport on the natural environment and enhance the standard of living for urban dwellers. It should be noted that in addition to this transformation’s technological aspects, modifying the city’s structure and architecture also has a social dimension. The transformation of urban mobility has a significant impact on social relations. Introducing new modes of transport, such as city bikes and electric scooters, creates new ways of moving around the city and can impact social interactions. This can increase social integration and a community’s sense of belonging. At the same time, it is necessary to consider the differences between social groups to ensure equal access to the benefits of these changes in addition to deeper social elements, such as changing the habits and expectations of residents and adapting solutions to the specific needs of each city. This paper aims to look at the social aspects of smart urban mobility, including the impact of these changes on the lives and relationships of city residents.

Efficiency Map Model for PMSM to Use in EV Simulation

As the automotive industry continues to transition towards sustainable solutions, Electric Vehicles (EVs) have emerged as a promising alternative. Central to the performance of EVs is the efficiency of their propulsion systems, particularly Permanent Magnet Synchronous Motors (PMSM). This research paper presents the development and implementation of an Efficiency Map Model tailored for PMSMs, aiming to enhance the accuracy of EV simulation studies. The implications of this research extend beyond academia, providing valuable guidance for automotive engineers, electric vehicle manufacturers, and policymakers involved in the development and deployment of sustainable transportation solutions. The proposed Efficiency Map Model contributes to the ongoing efforts to enhance the accuracy of EV simulations, fostering the design and implementation of more energy-efficient and environmentally friendly transportation systems. Keywords— Motor Efficiency, Permanent Magnet Synchronous Motors (PMSM), Design Parameters, Simulation, Efficiency Map Model

Relationship between the Significant Solutions of Static Traffic Assignment Problems for Mixed Traffic Flow of Connected and Automated Vehicles and Human-Driven Vehicles

Connected and automated vehicles can reduce the traffic congestion level of the entire network through platoon-driving technologies compared to human-driven vehicles. One promising approach to enhancing platoon-driving technology’s efficiency is deploying dedicated lanes or roads for connected and automated vehicles. Since asymmetric interactions between different vehicle types increase road congestion, it is necessary to distinguish routes for efficient traffic management. However, the traditional traffic assignment problem, which uses only user equilibrium as a constraint with no difference in travel time between users, could not be proposed as a globally optimal solution because it generates an infinite number of locally optimal solutions. Recent studies have attempted to overcome the limitations by considering the sum of system-wide travel times as an additional constraint. Their research sought to help propose optimal deployment strategies through the lowest total travel time solution (best-case) or design robust transport planning strategies through the highest total travel time solution (worst-case). However, past studies have not focused on the possibility of the best/worst case appearing in reality. This study focused on the relationship between the two solutions pointed out in past studies and traffic patterns likely to appear in reality. This study interprets the Karush–Kun–Tucker condition of the static traffic assignment problem, considering the asymmetric interaction, and proposes a solution algorithm using discrete dynamics. The proposed algorithm extends the most widely used method in transportation planning research, which can overcome the limitations of asymmetric interaction problems through simple variations. The proposed algorithm can reliably derive two solutions, and entropy theory shows that both solutions are unlikely to appear in reality without additional policies such as dedicated lanes or roads.

Identification, and Assessment of Reasons for delay in Metro projects in India

Transport solutions such as metro rail projects in cities are needed to cope with India's rapidly growing urbanisation. However, a number of issues that affect the performance in terms of deadlines, project costs and construction quality are faced by several metro projects currently under way in Indian cities. Based on the likely severity of these delays, this research prioritised time overrun parameters via expert questionnaire. Relative importance index (RII) of collected responses were computed and analysed. The result show that for time overrun the top three critical factors are Existing Utility Shifting, Land Acquisition for the Project and Poor Management / Incompetency of Contractor. It would facilitate the timely completion of metro projects with reasonable value for money to government, by mitigating this time overrun through proper life cycle contract management and risk allocation. Keywords: Urban Metro Rail Projects, Time Overrun, Relative Importance Index (RII)

Simulation Design of Three Phase Grid Integrated EV Charging Station with Renewables

The potential for improving sustainability in the transportation sector is considerable when renewable energy sources are combined with electric vehicle (EV) charging stations. The design methodology for a three-phase grid-integrated EV charging station that integrates renewable energy sources is presented in this paper using simulation-based design. The suggested system seeks to reduce grid dependency, maximize the use of renewable energy sources, and optimize energy management. Utilizing cutting-edge software tools, the simulation model is created to evaluate the integrated system's viability and performance under various operating scenarios. The study offers insightful information for the planning and development of sustainable transportation solutions and emphasizes the possible advantages of incorporating renewable energy sources into EV charging infrastructure.In this paper, a power predictive model was presented to forecast EVs power demand and to enhance the CS performance, in order to avoid an extra burden on the grid during peak hours. PV array with storage battery supported by the grid increased the reliability and flexibility of the system.

Understanding the Health Impacts of Vehicular Emissions in South Florida: A Comprehensive Analysis

South Florida is famous for its diverse cultural scene and year-round sunshine. This success, however, has not been without its consequences. While the region enjoys economic prosperity, the hidden cost of deteriorating air quality and adverse health effects from vehicle emissions necessitates urgent attention. Electric vehicles (EVs) have emerged as a potential solution, promising reduced emissions, and increased energy efficiency. However, the intricate life cycle emissions associated with EV energy production raise questions about their net benefits. Using predictive modeling and historical data, the study forecasts emissions trajectories and assesses their health implications. Results indicate a substantial reduction in pollutants like PM2.5 and NOx by 2050, particularly in counties with higher vehicle miles traveled (VMT). However, challenges remain, such as Broward County’s heightened dependence on polluting electricity sources for EV charging, leading to increased SO2 emissions and public health costs. The analysis underscores the importance of transitioning to cleaner energy sources, highlighting the potential benefits of renewable resources in reducing emissions and improving public health outcomes. By incorporating comprehensive data and predictive models, this study provides valuable insights for policymakers and communities, advocating for a concerted effort towards sustainable transportation solutions. Ultimately, the findings emphasize the necessity of proactive measures to mitigate the adverse effects of vehicle emissions and foster a healthier, more sustainable future for South Florida.

How social innovations emerge in a rigid regulatory context: the case of demand responsive transport in Switzerland

ABSTRACT Demand responsive transport (DRT) solutions may improve rural transport systems. These solutions often emerge as social innovations in rural areas. In Switzerland, their planning process is embedded in a rigid regulatory framework of the public transport system. The objective of this paper is to understand in which way the regulatory framework of the public transport system influences planning processes of a DRT solution in a rural setting. The methodological approach of social innovation biographies helps to examine the necessary planning steps to start mybuxi, a DRT in two Swiss rural municipalities. Our findings show that regulatory constraints dominate the final planning stage of the social innovation. Protections of current public transport regulations hinder federal offices from subsidizing the DRT, having direct implications on the financial sustainability of the system. The findings of this paper help actors to better address regulatory questions in the early stage of the respective innovation process.

Exploring the potential of ammonia and hydrogen as alternative fuels for transportation

Abstract This study investigates the potential of hydrogen and ammonia, as alternatives for transportation fuels to tackle urgent issues concerning greenhouse gas emissions and air quality in the worldwide transportation sector. By examining studies and technological progresses, we evaluate the feasibility of transitioning to these energy options. Through an investigation of production methods, energy efficiency, environmental consequences, and infrastructure requirements, we present both the advantages and disadvantages of using hydrogen and ammonia as fuel substitutes. We spotlight production techniques such as electrolysis and renewable energy sources that could significantly decrease carbon emissions and air pollutants. Nonetheless, key challenges such as expanding infrastructure, cost-effectiveness, and safety considerations need to be resolved for adoption. Drawing on findings from research and industry developments, this article contributes to publications on transportation solutions while proposing avenues for research efforts and policy initiatives. Existing challenges and limitations are also discussed in details. In conclusion, this research underscores the significance of research endeavors and policy backing to unlock the potential of hydrogen and ammonia as sustainable transportation fuels underscoring their role in mitigating environmental impacts and promoting global sustainability objectives.

Techno-Economic and Environmental Analysis of the Integration of PV Systems into Hybrid Vessels

Solar energy is one type of clean energy resource, and currently the IMO, EU and UK are targeting net zero carbon emissions by 2050. This paper delves into the integration of photovoltaic (PV) systems into hybrid vessels in order to meet their strategies and targets. The technical challenges that come with designing such systems as well as their economic and environmental impacts are examined. By optimizing the usage of harnessed solar energy, we discover the operational strategy that provides maximal benefits through day-to-day savings as well as over the 25 year lifespan of solar panels. It demonstrates impressive economic viability, with cost savings of up to GBP 4.55 per day and a payoff period as short as 9 years. It also displays a modest emission reduction of up to 8.002 kg of CO2, which serves as proof for a pathway to greener practices in the maritime industry. This report highlights the operational flexibility that a hybrid vessel possesses once paired with a PV system through the ability to withstand regulatory and market changes. Also, when looking ahead, further adoption of PV technology creates opportunities for innovation in adopting renewable energy solutions in maritime transportation.

Innovation strategies for non-existent markets - Profiting from urban air mobility

Technological advances have paved the way for urban air mobility (UAM) as a new mode of transportation, providing solutions for both inner-city and regional transportation. Novel vertical take-off and landing (VTOL) vehicles promise to be less noisy and safer than existing helicopters, thus allowing for an integration of UAM into current mobility systems. However, as this market is non-existent today, companies engaged in this field face several uncertainties. Strategic decision factors supporting VTOL manufacturers to successfully commercialize their innovation are still mainly unassessed. Looking into the innovation strategy literature we find little guidance on how high-technology companies can profit from innovation in so far non-existent markets. We therefore conduct expert interviews that allow us to identify eight decision factors that VTOL manufacturers are expected to take into account when setting up their commercial strategy. Building on the findings from these interviews we suggest to enhance the Profiting from Innovation (PFI) framework by a peripheric sphere that incorporates the impact of external factors on commercial success. This approach on the one hand, allows to provide insights into strategic management approaches of VTOL manufacturers, while on the other hand, this research adds to the scientific literature on strategic decision factors in non-existent markets.

Evaluating nickel removal efficacy of Filtralite under laboratory conditions: Implications for sustainable urban drainage systems

Our study deals with the critical issue of heavy metal pollution in urban runoff; we focused particularly on the threat posed by heavy metals such as nickel to living organisms and water resources owing to their toxicity at low concentrations and non-biodegradability. In this study, we evaluated the efficacy of Filtralite, a filtration medium with excellent hydraulic properties, in removing nickel from water through laboratory experiments and advanced simulation tools. We analysed the geochemical processes involved in nickel removal, including precipitation and adsorption. Importantly, we implemented an innovative approach for numerical modelling using HP1, by combining HYDRUS-1D and PHREEQC for modelling solute transport in porous media and geochemical reactions, respectively. The experimental results revealed that the Filtralite-laden column achieved a removal efficiency of 93.5 % for injected nickel. We observed a significant increase in the effluent pH from 7.0 to 11.5 during the interaction with Filtralite, affecting the solubility of the nickel phases. The model showed the highest nickel concentration in the initial column layers because of rapid chemical precipitation and adsorption upon contact with Filtralite. High-resolution scanning electron microscopy images confirmed the presence of amorphous precipitates around the soil particles, aligning with the changes in pH. This study contributes significantly to environmental engineering and urban water management by introducing an innovative numerical model in HP1 to accurately simulate the removal of nickel using Filtralite. These findings validate the efficiency of Filtralite in extracting nickel from aqueous solutions. Thus, Filtralite is a strong candidate for inclusion in sustainable urban drainage systems.

Application of Laplace Adomian decomposition method for fractional Fokker-Planck equation and time fractional coupled Boussinesq-Burger equations

PurposeFractional Fokker-Planck equation (FFPE) and time fractional coupled Boussinesq-Burger equations (TFCBBEs) play important roles in the fields of solute transport, fluid dynamics, respectively. Although there are many methods for solving the approximate solution, simple and effective methods are more preferred. This paper aims to utilize Laplace Adomian decomposition method (LADM) to construct approximate solutions for these two types of equations and gives some examples of numerical calculations, which can prove the validity of LADM by comparing the error between the calculated results and the exact solution.Design/methodology/approachThis paper analyzes and investigates the time-space fractional partial differential equations based on the LADM method in the sense of Caputo fractional derivative, which is a combination of the Laplace transform and the Adomian decomposition method. LADM method was first proposed by Khuri in 2001. Many partial differential equations which can describe the physical phenomena are solved by applying LADM and it has been used extensively to solve approximate solutions of partial differential and fractional partial differential equations.FindingsThis paper obtained an approximate solution to the FFPE and TFCBBEs by using the LADM. A number of numerical examples and graphs are used to compare the errors between the results and the exact solutions. The results show that LADM is a simple and effective mathematical technique to construct the approximate solutions of nonlinear time-space fractional equations in this work.Originality/valueThis paper verifies the effectiveness of this method by using the LADM to solve the FFPE and TFCBBEs. In addition, these two equations are very meaningful, and this paper will be helpful in the study of atmospheric diffusion, shallow water waves and other areas. And this paper also generalizes the drift and diffusion terms of the FFPE equation to the general form, which provides a great convenience for our future studies.