Explicit Transmission Research Articles

Explicit expression of unconditionality using conjunctions in Chinese

This article discusses unconditionals in Chinese. Conjunctions with unconditional meaning, which serve for the explicit transmission of meaning in a sentence, are chosen as a subject of research. The purpose of the study is to find the conjunctions with explicit expression of unconditionality in the Chinese language. In addition to Chinese, the Russian language is also considered for a comparative analysis of conjunctions in different languages. A comparative analysis is carried out for all types of unconditionality after the description of each section. In this article not only conjunctions with unconditional meaning, but also correlates (words which clarify the meaning of the condition in the first part of the sentence) and the order of two clauses (main and dependent) are compared. The research methods include the search for conjunctions and correlatives from Chinese dictionaries and grammars for a further distribution of them in groups, consideration of conjunctions’ semantic, combination and stylistic features through dictionaries. As Chinese unconditional sentences have been little studied among Russian typologists, this article contains a certain scientific novelty. As a result, three types of unconditionals have been identified in total: absolute, irreal and real. Due to the differentiation of conjunctions in sentences with the absence of a condition, it was found out that a variety of similar words in the Chinese language is as rich as in the Russian one. At the end there are two tables with all the conjunctions both in Russian and in Chinese. In this article Russian is less emphasized because it has been researched earlier by other typologists. This material can be useful not only for sinologists, but also for the specialists in general linguistics.

Modeled impacts of rapid and accurate cattle tracing in a Foot-and-Mouth Disease outbreak in the US

The purpose of this study was to estimate the impacts of rapid and accurate tracing of cattle movements during a Foot-and-Mouth Disease (FMD) outbreak in the United States (US). To simulate introduction and spread of FMD we utilized InterSpread Plus, a spatially explicit disease transmission model, and a national livestock population file. The simulations began in one of four regions of the US via beef or dairy cattle as the index infected premises (IP). The first IP was detected 8, 14, or 21 days after introduction. The tracing levels were defined by the probability of a successful trace and the time to trace completion. We evaluated three tracing performance levels, a baseline that represents a mix of paper and electronic interstate shipment records, an estimated partial implementation of electronic identification (EID) tracing, and an estimated full implementation of EID tracing. To evaluate the potential to decrease the size of control areas and surveillance zones with full EID use, we compared the standard size for each to a reduced geographical area for each. The total number of IPs in an outbreak varied with the location of the index farms. Within index farm locations and across tracing performance levels, early detection (day 8) resulted in fewer IPs and a shorter duration of the outbreak. The impact of improving tracing was most evident within introduction region when detection was delayed (day 14 or 21). Full EID use decreased the 95th percentile but had a smaller impact on the median number of IPs. Improved tracing also decreased the number of farms impacted by control efforts in control areas (0–10 km) and surveillance zones (10–20 km) by decreasing outbreak size (total IPs). Decreasing the control area (0–7 km) and surveillance zone (7–14 km) sizes while using full EID tracing further decreased the number of farms under surveillance but increased the number of IPs slightly. Consistent with previous results, this supports the potential value of early detection and improved traceability to control FMD outbreaks. Further development of the EID system in the US is necessary to achieve the modeled results. Further research into the economic impacts of enhanced tracing and decreased zone sizes are needed to determine the full impact of these results.

(IM)POLITENESS IN BAVARIAN DIALECTS (based on South German political discourse material)

Dialect is used not only as a means of spoken interpersonal communication, now-adays it can be found in advertising, media and political discourse. Dialects, not being the main language of political communication, can be used in contrast to the standard language for explicit and implicit transmission of emotions and evaluation as well as (im)politeness strategy in regional political discourse. The article examines the dialect as means of reflecting (im)politeness in political communication. It analyzes exam-ples with Bavarian dialect inclusions selected on the basis of the its morphosyntactic features and Bavarian dictionaries data from articles on political issues published in South German media, plenary session transcripts in the Bavarian State Parliament, Salvator festival speech transcripts and speeches of the Bavarian politicians at the Po-litical Ash Wednesday and the Gillamoos Festival published between 2003 and 2023. Thus, the linguopragmatic analysis of dialect in political communication showed that dialect inclusions can be used to represent both polite and impolite attitudes towards the interlocutor. Politeness is performed by the speech etiquette formulae (greetings, farewells and other polite expressions), because dialect defines belonging to the Bavar-ian culture and is associated with homeland, contributing to the creation of a trusting environment. In other cases, impoliteness, especially in relation to political opponents and / or non-dialect speakers, is expressed through emotional-evaluative vocabulary with pejorative meaning, appeal to non-Bavarian origin and disrespect for regional traditions.

TUIA I ROTO: A qualitative exploration of Māori cultural embeddedness

Cultural identity research has largely focused on subjective and individualised notions of identity. In recent research we introduced the concept of “cultural embeddedness” as a framework for understanding the collective expectations derived from cultural values, practices and beliefs, and how these facets of culture are integrated into identity and enacted in everyday behaviours (Fox et al., 2021). This article builds on our theory of cultural embeddedness by drawing on the lived experiences of 10 Māori individuals whom we consider to be culturally embedded in order to elucidate the features of cultural embeddedness in the context of Indigenous Māori people. Participants provided insights concerning (1) values, beliefs and practices that are important in Māori culture; (2) the characteristics of an individual who is embedded in those facets; and (3) how a person can become culturally embedded. Data were analysed using qualitative content analysis. The implicit and explicit transmission of Māori culture is discussed, particularly for those with limited access to cultural learning opportunities during childhood and adolescence.

Optimising response to an introduction of African swine fever in wild pigs.

African swine fever virus (ASFv) is a virulent pathogen that threatens domestic swine industries globally and persists in wild boar populations in some countries. Persistence in wild boar can challenge elimination and prevent disease-free status, making it necessary to address wild swine in proactive response plans. In the United States, invasive wild pigs are abundant and found across a wide range of ecological conditions that could drive different epidemiological dynamics among populations. Information on the size of the control areas required to rapidly eliminate the ASFv in wild pigs and how this area should change with management constraints and local ecology is needed to optimize response planning. We developed a spatially explicit disease transmission model contrasting wild pig movement and contact ecology in two ecosystems in Southeastern United States. We simulated ASFv spread and determined the optimal response area (reported as the radius of a circle) for eliminating ASFv rapidly over a range of detection times (when ASFv was detected relative to the true date of introduction), culling capacities (proportion of wild pigs in the culling zone removed weekly) and wild pig densities. Large radii for response areas (14km) were needed under most conditions but could be shortened with early detection (≤ 8 weeks) and high culling capacities (≥ 15% weekly). Under most conditions, the ASFv was eliminated in less than 22 weeks using optimal control radii, although ecological conditions with high rates of wild pig movement required higher culling capacities (≥ 10% weekly) for elimination within 1 year. The results highlight the importance of adjusting response plans based on local ecology and show that wild pig movement is a better predictor of the optimal response area than the number of ASFv cases early in the outbreak trajectory. Our framework provides a tool for determining optimal control plans in different areas, guiding expectations of response impacts, and planning resources needed for rapid elimination.

Combinational Recommendation of Vaccinations, Mask-Wearing, and Home-Quarantine to Control Influenza in Megacities: An Agent-Based Modeling Study With Large-Scale Trajectory Data.

The outbreak of COVID-19 stimulated a new round of discussion on how to deal with respiratory infectious diseases. Influenza viruses have led to several pandemics worldwide. The spatiotemporal characteristics of influenza transmission in modern cities, especially megacities, are not well-known, which increases the difficulty of influenza prevention and control for populous urban areas. For a long time, influenza prevention and control measures have focused on vaccination of the elderly and children, and school closure. Since the outbreak of COVID-19, the public's awareness of measures such as vaccinations, mask-wearing, and home-quarantine has generally increased in some regions of the world. To control the influenza epidemic and reduce the proportion of infected people with high mortality, the combination of these three measures needs quantitative evaluation based on the spatiotemporal transmission characteristics of influenza in megacities. Given that the agent-based model with both demographic attributes and fine-grained mobility is a key planning tool in deploying intervention strategies, this study proposes a spatially explicit agent-based influenza model for assessing and recommending the combinations of influenza control measures. This study considers Shenzhen city, China as the research area. First, a spatially explicit agent-based influenza transmission model was developed by integrating large-scale individual trajectory data and human response behavior. Then, the model was evaluated across multiple intra-urban spatial scales based on confirmed influenza cases. Finally, the model was used to evaluate the combined effects of the three interventions (V: vaccinations, M: mask-wearing, and Q: home-quarantining) under different compliance rates, and their optimal combinations for given control objectives were recommended. This study reveals that adults were a high-risk population with a low reporting rate, and children formed the lowest infected proportion and had the highest reporting rate in Shenzhen. In addition, this study systematically recommended different combinations of vaccinations, mask-wearing, and home-quarantine with different compliance rates for different control objectives to deal with the influenza epidemic. For example, the “V45%-M60%-Q20%” strategy can maintain the infection percentage below 5%, while the “V20%-M60%-Q20%” strategy can maintain the infection percentage below 15%. The model and policy recommendations from this study provide a tool and intervention reference for influenza epidemic management in the post-COVID-19 era.

Recurrent synchronization network for emotion-cause pair extraction

Emotion-cause pair extraction is a fundamental task in emotion analysis, which aims to extract emotions and their corresponding causes from documents. Recent studies have employed two auxiliary tasks, namely emotion extraction and cause extraction, to facilitate the detection of emotion-cause pairs and their joint resolution in a multi-task learning framework. However, the implicit information-sharing mechanism in existing methods fails to fully utilize the rich interactive relations among these three tasks. In this study, we propose a recurrent synchronization network that explicitly models the interaction among different tasks. Our model performs multiple rounds of inference to detect emotions, causes, and emotion-cause pairs iteratively. Following each round of inference, the information from different modules is synchronized through explicit information transmission, allowing the three tasks to collaborate effectively. Extensive experiments demonstrate that our model can extract emotion-cause pairs more accurately, while significantly outperforming existing methods.

When and why direct transmission models can be used for environmentally persistent pathogens.

Variants of the susceptible-infected-removed (SIR) model of Kermack & McKendrick (1927) enjoy wide application in epidemiology, offering simple yet powerful inferential and predictive tools in the study of diverse infectious diseases across human, animal and plant populations. Direct transmission models (DTM) are a subset of these that treat the processes of disease transmission as comprising a series of discrete instantaneous events. Infections transmitted indirectly by persistent environmental pathogens, however, are examples where a DTM description might fail and are perhaps better described by models that comprise explicit environmental transmission routes, so-called environmental transmission models (ETM). In this paper we discuss the stochastic susceptible-exposed-infected-removed (SEIR) DTM and susceptible-exposed-infected-removed-pathogen (SEIR-P) ETM and we show that the former is the timescale separation limit of the latter, with ETM host-disease dynamics increasingly resembling those of a DTM when the pathogen’s characteristic timescale is shortened, relative to that of the host population. Using graphical posterior predictive checks (GPPC), we investigate the validity of the SEIR model when fitted to simulated SEIR-P host infection and removal times. Such analyses demonstrate how, in many cases, the SEIR model is robust to departure from direct transmission. Finally, we present a case study of white spot disease (WSD) in penaeid shrimp with rates of environmental transmission and pathogen decay (SEIR-P model parameters) estimated using published results of experiments. Using SEIR and SEIR-P simulations of a hypothetical WSD outbreak management scenario, we demonstrate how relative shortening of the pathogen timescale comes about in practice. With atttempts to remove diseased shrimp from the population every 24h, we see SEIR and SEIR-P model outputs closely conincide. However, when removals are 6-hourly, the two models’ mean outputs diverge, with distinct predictions of outbreak size and duration.

Micro-climate to macro-risk: mapping fine scale differences in mosquito-borne disease risk using remote sensing

Mosquito-borne diseases (MBD) threaten over 80% of the world’s population, and are increasing in intensity and shifting in geographical range with land use and climate change. Mitigation hinges on understanding disease-specific risk profiles, but current risk maps are severely limited in spatial resolution. One important determinant of MBD risk is temperature, and though the relationships between temperature and risk have been extensively studied, maps are often created using sparse data that fail to capture microclimatic conditions. Here, we leverage high resolution land surface temperature (LST) measurements, in conjunction with established relationships between air temperature and MBD risk factors like mosquito biting rate and transmission probability, to produce fine resolution (70 m) maps of MBD risk components. We focus our case study on West Nile virus (WNV) in the San Joaquin Valley of California, where temperatures vary widely across the day and the diverse agricultural/urban landscape. We first use field measurements to establish a relationship between LST and air temperature, and apply it to Ecosystem Spaceborne Thermal Radiometer Experiment data (2018–2020) in peak WNV transmission months (June–September). We then use the previously derived equations to estimate spatially explicit mosquito biting and WNV transmission rates. We use these maps to uncover significant differences in risk across land cover types, and identify the times of day which contribute to high risk for different land covers. Additionally, we evaluate the value of high resolution spatial and temporal data in avoiding biased risk estimates due to Jensen’s inequality, and find that using aggregate data leads to significant biases of up to 40.5% in the possible range of risk values. Through this analysis, we show that the synergy between novel remote sensing technology and fundamental principles of disease ecology can unlock new insights into the spatio-temporal dynamics of MBDs.

Spin dependent Fano interference in a serial double quantum dot coupled to two topological superconducting quantum wires

We consider a serial double quantum dots coupled to the ends of two topological superconducting quantum wires hosting Majorana bound states. We compute the explicit transmission property and differential conductance by the nonequilibrium Green's function method. The transmission property shows different lead-polarization line with the variable dot Majorana coupling and phase threading on the system. It is also shown that the Fano line of the differential conductance is observed with the changing dot Majorana coupling and phase of the system. However, the spin polarization does not affect its Fano characteristic of the differential conductance. It is believed that the results can help to better understand the properties of Majorana bound states and their interplay with quantum dots.

Social structure defines spatial transmission of African swine fever in wild boar.

The spatial spread of infectious disease is determined by spatial and social processes such as animal space use and family group structure. Yet, the impacts of social processes on spatial spread remain poorly understood and estimates of spatial transmission kernels (STKs) often exclude social structure. Understanding the impacts of social structure on STKs is important for obtaining robust inferences for policy decisions and optimizing response plans. We fit spatially explicit transmission models with different assumptions about contact structure to African swine fever virus surveillance data from eastern Poland from 2014 to 2015 and evaluated how social structure affected inference of STKs and spatial spread. The model with social structure provided better inference of spatial spread, predicted that approximately 80% of transmission events occurred within family groups, and that transmission was weakly female-biased (other models predicted weakly male-biased transmission). In all models, most transmission events were within 1.5 km, with some rare events at longer distances. Effective reproductive numbers were between 1.1 and 2.5 (maximum values between 4 and 8). Social structure can modify spatial transmission dynamics. Accounting for this additional contact heterogeneity in spatial transmission models could provide more robust inferences of STKs for policy decisions, identify best control targets and improve transparency in model uncertainty.

Energy and bandwidth-efficient channel access for local area machine-to-machine communication

Ticket Election Multiple Access (TEMA) is introduced for local machine-to-machine communication that is energy and bandwidth-efficient. TEMA is based on distributed elections held among nodes to gain interference-free access to the channel in either unicast or broadcast mode. Non-transmitting nodes can infer whether or not they are the intended receiver of a transmission and act accordingly to save energy, without the need for particular traffic patterns or explicit future transmission schedules. TEMA is shown to be correct in the sense that the channel access schedules are collision-free at the intended receivers, and intended receivers are always in receiving state. An analytical model of the performance of the protocol is used to show that TEMA attains energy-efficiency and high channel utilization even under heavy traffic and high node density conditions. A simulation-based performance analysis validates the analytical results and shows that TEMA outperforms representatives of contention-based and interference-free protocols in terms of energy efficiency, network goodput, and channel access delay. More specifically, it reduces energy consumption to half of that of state-of-the-art distributed election-based protocols while providing up to 25% increase in goodput and up to 50% decrease in channel access delay.

Nucleation mechanism of intra-granular blisters in tungsten exposed to hydrogen plasma

Despite being a subject of long-term research on fusion-reactor structural materials, the behaviour of hydrogen in tungsten under plasma exposure remains unclear. Here, the explicit transmission electron microscopy observations for recrystallised W after hydrogen plasma exposure are successfully obtained. These are the first observations to show the intra-granular blisters are located on the {100} planes. Molecular dynamics simulations confirm the hydrogen blister initiating at <100> dislocation core behaved similarly to those in experiment. We propose that the widely reported intra-granular hydrogen blisters are nucleated at the <100> edge dislocation core and develop along the (100) plane in tungsten.

Integral equation‐based nonoverlapping domain decomposition method for electromagnetic scattering analysis of PEC targets in half‐space environment

AbstractAn integral equation‐based nonoverlapping domain decomposition method (IE‐NDDM) is proposed for efficient and accurate scattering analysis of electrically large PEC targets in a half‐space environment. Taking the condition that there are null fields as well as current inside PEC objects in the original problem, a novel explicit transmission condition is proposed to ensure continuity of electric currents between adjacent subdomains. Moreover, to deal with this situation that targets located in half‐space environment, the stratified‐medium dyadic Green's function is adopted. Numerical examples are provided to demonstrate the correctness and the performance of the proposed method. In detail, an analysis about electromagnetic scattering respect to the altitude of the target away from half‐space interface, the incident direction of plane wave, and the material parameters of the lower half‐space is presented; furthermore, the convergence behavior of the proposed method is studied.

Le développement professionnel des enseignants expérimentés par la transmission explicite de pratiques ordinaires entre pairs

Cette étude de cas s’inscrit dans un programme de recherche anthropoculturel dont les principaux postulats théoriques sont empruntés à la philosophie du langage ordinaire. La recherche vise à étudier les effets en matière de développement professionnel d’un dispositif de formation qui s’inscrit dans un format de formation continue dit « adaptatif ». Ce dispositif tente de créer les conditions formelles propices à la transmission efficace de pratiques ordinaires entre deux enseignants expérimentés (l’un tenant le rôle de « pair formateur » et l’autre de « pair formé ») et ainsi produire le développement professionnel. Pour ce faire, il propose trois aménagements du format traditionnel de formation : 1) l’accès préalable du pair formateur à une vision synoptique des règles régissant sa pratique devant être transmise ; 2) l’enseignement ostensif de ces règles par le pair formateur en direction du pair formé et 3) deux mises en œuvre par le pair formé suivies à chaque fois d’une activité d’accompagnement sous forme de contrôle du pair formateur. Les résultats obtenus montrent : a) un apprentissage effectif des règles par le pair formé suite à l’accès du pair formateur à une vision plus claire des règles sous-jacentes à sa pratique et suite à son activité d’accompagnement, ainsi que b) le développement de l’activité professionnelle du pair formé par le suivi interprété des règles apprises dans de nouvelles circonstances.

Modeling outbreak data: Analysis of a 2012 Ebola virus disease epidemic in DRC.

We describe two approaches to modeling data from a small to moderate-sized epidemic outbreak. The first approach is based on a branching process approximation and direct analysis of the transmission network, whereas the second one is based on a survival model derived from the classical SIR equations with no explicit transmission information. We compare these approaches using data from a 2012 outbreak of Ebola virus disease caused by Bundibugyo ebolavirus in city of Isiro, Democratic Republic of the Congo. The branching process model allows for a direct comparison of disease transmission across different environments, such as the general community or the Ebola treatment unit. However, the survival model appears to yield parameter estimates with more accuracy and better precision in some circumstances.

Analysis of Didactical Trajectories in Teaching and Learning Mathematics: Overcoming Extreme Objectivist and Constructivist Positions

There is currently a consensus in mathematics education that favors constructivist instructional models, which are based on the inquiry of knowledge by students. There are, however, different views that consider objectivist models, based on knowledge transmission (direct or explicit teaching) more effective in the teaching of scientific disciplines. In this article we analyze an instructional process on elementary probability directed to prospective primary education teachers, which was designed under constructivist principles and is based on data analysis projects. A systematic analysis of the study process reveals that the optimization of the learning process involves implementing frequent moments that require explicit transmission of knowledge by the teacher. This analysis is based on some theoretical tools from the onto-semiotic approach to mathematical knowledge and instruction, which allow identifying significant didactical facts that support a mixed instructional model. The relevance for mathematics education to contemplate the use of mixed instructional models that articulate constructivists and objectivist approaches to promote mathematical learning is concluded.

Visceral leishmaniasis: Spatiotemporal heterogeneity and drivers underlying the hotspots in Muzaffarpur, Bihar, India.

BackgroundDespite the overall decrease in visceral leishmaniasis (VL) incidence on the Indian subcontinent, there remain spatiotemporal clusters or ‘hotspots’ of new cases. The characteristics of these hotspots, underlying transmission dynamics, and their importance for shaping control strategies are not yet fully understood and are investigated in this study for a VL endemic area of ~100,000 inhabitants in Bihar, India between 2007–2015.Methodology/Principal findingsVL incidence (cases/10,000/year) dropped from 12.3 in 2007 to 0.9 in 2015, which is just below the World Health Organizations’ threshold for elimination as a public health problem. Clustering of VL was assessed between subvillages (hamlets), using multiple geospatial and (spatio)temporal autocorrelation and hotspot analyses. One to three hotspots were identified each year, often persisting for 1–5 successive years with a modal radius of ~500m. The relative risk of having VL was 5–86 times higher for inhabitants of hotspots, compared to those living outside hotspots. Hotspots harbour significantly more households from the two lowest asset quintiles (as proxy for socio-economic status). Overall, children and young adelescents (5–14 years) have the highest risk for VL, but within hotspots and at the start of outbreaks, older age groups (35+ years) show a comparable high risk.Conclusions/SignificanceThis study demonstrates significant spatiotemporal heterogeneity in VL incidence at subdistrict level. The association between poverty and hotspots confirms that VL is a disease of ‘the poorest of the poor’ and age patterns suggest a potential role of waning immunity as underlying driver of hotspots. The recommended insecticide spraying radius of 500m around detected VL cases corresponds to the modal hotspot radius found in this study. Additional data on immunity and asymptomatic infection, and the development of spatiotemporally explicit transmission models that simulate hotspot dynamics and predict the impact of interventions at the smaller geographical scale will be crucial tools in sustaining elimination.

Prevention of malaria transmission around reservoirs: an observational and modelling study on the effect of wind direction and village location

Many large dams are constructed annually in Africa, with associated reservoirs that might exacerbate the risk of malaria in new villages built nearby. We aimed to investigate the heterogeneous risk of malaria around reservoirs related to the impact of wind direction on malaria transmission. Between June 15, 2012, and April 22, 2015, we obtained field data on climate and hydrological conditions, and monitored Anopheles mosquito populations around the Koka reservoir in Ethiopia using in-situ weather stations, mosquito light traps, and larval dipping. The field data were used to calibrate a field-tested, spatially explicit mechanistic malaria transmission model, the Hydrology, Entomology, and Malaria Transmission Simulator (HYDREMATS), to investigate the effect of relative wind direction on malaria transmission and associated mechanisms. We combined our simulation results and observational data to assess the association between village location around a reservoir and risk of malaria. HYDREMATS simulations showed that wind blowing from a village towards a reservoir increases the size of malaria vector populations, whereas wind blowing from a reservoir towards a village decreases the size of malaria vector populations, which was consistent with our field data. Larval mortality is low in locations with village-to-reservoir wind due to weak surface waves, and this wind direction creates conditions that enable mosquitoes to identify village locations more easily than in conditions caused by reservoir-to-village wind, which increases the size of malaria vector populations, and thus malaria transmission. Among the wind conditions investigated (0·5-5 m/s), the effect of CO2 attraction on the size of the Anopheles population was largest at wind speeds of 0·5 m/s and 1 m/s, decreasing with higher wind speed. At a wind speed of 5 m/s, the effect of CO2 attraction was negligible, whereas the effect of waves was strongest. The effect of advection on Anopheles population size was negligible at all wind speeds and wind directions. The effect of wind on malaria transmission around reservoirs can be substantial. The transmission of malaria can be minimised if the location of villages situated near a reservoir is carefully considered. For areas in which the environmental conditions surrounding a resevoir are equal, villages should be located downwind of reservoirs to reduce the incidence of malaria, although further research will be required in locations where wind direction changes in different seasons. US National Science Foundation, and Cooperative Agreement between the Masdar Institute of Science and Technology, Abu Dhabi, UAE, and the Massachusetts Institute of Technology, Cambridge, MA, USA.

Modelling of channel transmission loss processes in semi-arid catchments of southern Africa using the Pitman Model

Abstract. Water availability is one of the major societal issues facing the world. The ability to understand and quantify the impact of key hydrological processes, on the availability of water resources, is therefore integral to ensuring equitable and sustainable resource management. Channel transmission losses are an “under-researched” hydrological process that affects resource availability in many semi-arid regions such as the Limpopo River Basin in southern Africa, where the loss processes amount to approximately 30 % of the water balance. To improve the understanding of these loss processes and test the capability of modelling routines, three approaches using the Pitman model are applied to selected alluvial aquifer environments. The three approaches are an explicit transmission loss function, the use of a wetland function to represent channel-floodplain storage exchanges and the use of a “dummy” reservoir to represent floodplain storage and evapotranspiration losses. Results indicate that all three approaches are able to simulate channel transmission losses with differing impacts on the regional flows. A determination of which method best represents the channel transmission losses process requires further testing in a study area that has reliable observed historical records.