Seasonal Impact Research Articles

Seasonal population dynamics and impact of abiotic factors on plant parasitic nematodes under temperate conditions of Kashmir, India

Plant parasitic nematodes (PPNs) pose a significant threat to the successful cultivation of grapevines globally. Abiotic parameters such as temperature, moisture and pH critically influence nematode population growth. Ecological investigation was conducted on three grapevine cultivars (Sahibi, Hussaini and Thompson) in Kashmir, India, from January 2021 to December 2022. The population dynamics of the identified PPNs around the grapevine rhizosphere were studied in relation to various factors. Nematode abundance peaked during the warm months of the summer season and dipped during winter. Soil and air temperatures positively correlated with the abundance of nematodes; however, soil moisture and rainfall showed a negative correlation. This study underscores the critical role of environmental factors on the population dynamics of plant parasitic nematodes, with temperature being an important influential factor. Effective nematode management in grapevine cultivation requires a thorough understanding of these dynamics to mitigate the impact of these parasites.

Natural regeneration of cork oak forests under climate change: a case study in Portugal

The sustainability of forest species is directly related to the success of stand regeneration. Assuring success is particularly critical in stands where perpetuity relies on natural regeneration, as is often the case with cork oak forests. However, 59% of the stand in Portugal have no natural regeneration, and climate change could further worsen the sustainability of the system. The study summarizes the factors that affect the natural regeneration of cork oak (Quercus suber L.) based on current knowledge and presents a case study on a forest in Northeast Portugal, where the natural regeneration of Quercus suber under the effect of climate change have been monitored and analyzed. The present work focuses on the effect of stand density, i.e., tree cover, on the production of acorns, the establishment and survival of seedlings, and the impact of the summer season on seedling mortality. The monitoring was carried out in February, June, September 2022, and January 2023 in two stands with distinct stand canopy cover, when the region was under extreme drought. Data analysis was performed using the analysis of variance for repeated measures and the Mann–Whitney-Wilcoxon test. The study showed that cork oak regeneration is influenced by stand density, which promoted the establishment success and survival of natural regeneration in a period of reduced precipitation, despite possible competition for water resources. The mean number of seedlings differed significantly between the two stands. However, there were no significant differences in the mean number of seedlings throughout the field measurements. Additionally, the percentage of dead seedlings was low even after the summer season (9.5% of the total seedlings) in the denser stand. These results indicate that high canopy cover can have a protective effect for extreme climatic events and should be considered in forestry management to promote regeneration of the cork oak forests.

How do the 3D urban morphological characteristics spatiotemporally affect the urban thermal environment? A case study of San Antonio

Urban landscapes, characterized by intricate interactions within a three-dimensional (3D) framework, give rise to complex mechanisms that underlie the Surface Urban Heat Island phenomenon. While global case studies have emphasized the impact of 3D urban morphological components on urban thermal environments, conducting quantitative assessments to identify spatial and seasonal variations in these relationships poses significant challenges. Based on Lidar and land cover dataset, this study first investigated the 3D urban morphology characteristics across nine components, and then assessed their spatial and seasonal impact on the urban thermal environment through Geographically Weighted Regression (GWR). We found that Impervious Surface Fraction (ISF) has the greatest warming effect, whereas the Vegetation Coverage Fraction (VCF) exerts the strongest cooling influence on the thermal environment across all seasons. Building Height (BH) and Street Aspect Ratio (SAR) exhibit spatially varying cooling effects, while Building Number (BN) and Standard Deviation of Building Height (BH_SD) have minimal warming impacts. Additionally, the influence of BH on the thermal environment is significant primarily in areas characterized by higher building coverage. VCF has a stronger cooling effect in central regions with limited vegetation during spring and winter, but this effect diminishes compared to suburban ones in summer and autumn. These findings provide valuable insights into developing effective heat mitigation strategies at both city and community levels, ultimately fostering sustainable urban development.

A study of seasonal variation and impact of geology on gamma radiation levels of district Faridabad of State Haryana, India

A study of seasonal variation and impact of geology on gamma radiation levels of district Faridabad of State Haryana, India

Impact of seasonal malaria chemoprevention based on the number of medicines doses received on malaria burden among children aged 3-59 months in Nigeria: A propensity score-matched analysis.

Seasonal malaria chemoprevention using sulfadoxine-pyrimethamine plus amodiaquine (sulfadoxine-pyrimethamine plus amodiaquine on Day 1 and amodiaquine on both Day 2 and Day 3) is delivered to children aged 3-59 months in areas of highly season malaria transmission. While the overall population-level impact of seasonal malaria chemoprevention on malaria control has been documented in various countries and time periods, there is no clear evidence regarding seasonal malaria chemoprevention impact based on the number of medicine doses children receive in one cycle in routine programmatic conditions. Data were extracted from Nigeria's routinely collected seasonal malaria chemoprevention end-of-round coverage surveys (2021, 2022). We matched seasonal malaria chemoprevention-targeted children who received specific numbers of seasonal malaria chemoprevention medicines with those who did not receive any doses of seasonal malaria chemoprevention medicines (non-sulfadoxine-pyrimethamine plus amodiaquine) using multiple sets of propensity score matches. We performed multilevel logistic regression for each matched group to evaluate the association between the number of doses of seasonal malaria chemoprevention medicines and monthly confirmed malaria cases (caregiver-reported malaria infection diagnosed by rapid diagnostic test at a health facility following the penultimate cycle of seasonal malaria chemoprevention). Among 21,621 SMC-targeted children, 9.7% received non-sulfadoxine-pyrimethamine plus amodiaquine, 0.5% received only Day 1 sulfadoxine-pyrimethamine plus amodiaquine, 1.0% received Day 1 sulfadoxine-pyrimethamine plus amodiaquine and either Day 2 amodiaquine or Day 3 amodiaquine (sulfadoxine-pyrimethamine plus amodiaquine + amodiaquine), and 88.8% received Day 1 sulfadoxine-pyrimethamine plus amodiaquine and both Day 2 and Day 3 amodiaquine (sulfadoxine-pyrimethamine plus amodiaquine + amodiaquine + amodiaquine). Children receiving only Day 1 sulfadoxine-pyrimethamine plus amodiaquine did not have significant lower odds of rapid diagnostic tests-confirmed malaria than those receiving non-sulfadoxine-pyrimethamine plus amodiaquine (OR 0.77, 0.42-1.42). However, children receiving sulfadoxine-pyrimethamine plus amodiaquine + amodiaquine had significantly lower odds of rapid diagnostic tests-confirmed malaria than those receiving non-sulfadoxine-pyrimethamine plus amodiaquine (OR 0.42, 95% CI 0.28-0.63). Similarly, children receiving sulfadoxine-pyrimethamine plus amodiaquine + amodiaquine + amodiaquine also had significantly lower odds of rapid diagnostic test-confirmed malaria than those receiving non-sulfadoxine-pyrimethamine plus amodiaquine (OR 0.54, 95% CI 0.47-0.62). Adherence to at least one daily dose of amodiaquine administration following receipt of Day 1 sulfadoxine-pyrimethamine plus amodiaquine by eligible children is crucial to ensure the effectiveness of seasonal malaria chemoprevention. This demonstrates the importance of enhancing caregiver awareness regarding the importance of amodiaquine and identifying barriers toward amodiaquine administration at the community level.

Machine Learning for short-term property rental pricing based on seasonality and proximity to food establishments

PurposeShort-term rentals (STRs) (like Airbnb) are reshaping social behaviour, notably in gastronomy, altering how people dine while travelling. This study delves into revenue management, examining the impact of seasonality and dining options near guests’ Airbnb. Machine Learning analysis of Airbnb data suggests owners enhance revenue strategies by adjusting prices seasonally, taking nearby food amenities into account.Design/methodology/approach This study analysed 220 Airbnb establishments from Madrid, Spain, using consistent monthly price data from Seetransparent and environment variables from MapInfo GIS. The Machine Learning algorithm calculated average prices, determined seasonal prices, applied factor analysis to categorise months and used cluster analysis to identify tourism-dwelling typologies with similar seasonal behaviour, considering nearby supermarkets/restaurants by factors such as proximity and availability of food options.FindingsThe findings reveal seasonal variations in three groups, using Machine Learning to improve revenue management: Group 1 has strong autumn-winter patterns and fewer restaurants; Group 2 shows higher spring seasonality, likely catering to tourists, and has more restaurants, while Group 3 has year-round stability, fewer supermarkets and active shops, potentially affecting local restaurant dynamics. Food establishments in these groups may need to adapt their strategies accordingly to capitalise on these seasonal trends.Originality/value Current literature lacks information on how seasonality, rental housing and proximity to amenities are interconnected. The originality of this study is to fill this gap by enhancing the STR price predictive model through a Machine Learning study. By examining seasonal trends, rental housing dynamics, and the proximity of supermarkets and restaurants to STR properties, the research enhances our understanding and predictions of STR price fluctuations, particularly in relation to the availability and demand for food options.

Exploring the seasonal impact on appendectomy: incidence, patterns, predictors, and healthcare implication of appendectomy at Prince Ali military hospital

Background: This study at Prince Ali military hospital in Al Karak, Jordan, investigates seasonal variations in appendicitis incidence and outcomes, assessing diagnostic and treatment strategies across different seasons. The aim is to understand how seasonal changes influence appendicitis rates and to evaluate the effectiveness of diagnostic methods and treatment approaches. Methods: A retrospective observational study was conducted on 321 confirmed cases of inflamed or perforated appendicitis from March 2021 to February 2024. Patient demographics, dates of surgery, surgical interventions, and postoperative complications were analyzed, with a focus on seasonal trends. Results: Out of 394 reviewed cases, 321 (81.47%) met the inclusion criteria, showing significant seasonal variations in appendicitis incidence. Autumn saw the highest rate of appendicitis cases at 32.09% while the lowest was in Winter (22.12%). Regarding normal appendix, the highest rate was in winter (21.98%), and the lowest was in summer (13.09%). The mean patient age was 25.20 years, with a majority being male (66.36%). Open surgeries were the most common, comprising 91.9% of cases, compared to 8.1% for laparoscopic procedures. Diagnostic analysis revealed a very strong correlation between CT findings and histopathological outcomes (p=3.23×10^-11) and a significant but less strong correlation for ultrasound findings (p=0.000446). These results suggest that both diagnostic methods are effective, with CT scans showing a stronger correlation. The distribution of cases across seasons was 32.087% in autumn, 23.05% in spring, 22.741% in summer, and 22.118% in winter. Conclusions: Significant seasonal peaks in appendicitis are evident, particularly in autumn, driven by changes in diet and viral infections. The superior effectiveness of CT scans during winter highlights the need for adaptive diagnostic strategies across seasons. These findings advocate for healthcare systems to seasonally adjust resources and diagnostics to optimize appendicitis management, with further research needed to expand these insights globally.

1H NMR profiling and chemometric analysis for ripening and production characterization of Grana Padano cheese

Grana Padano (GP) cheese is a renowned PDO Italian cheese whose nutritional characteristics and market price are influenced by the ripening stage. In this work, it was demonstrated that the combined use of untargeted 1H NMR profiling and chemometric analysis can be used as a powerful tool to quantitatively characterize GP ripening and production, focusing on both aqueous and lipid fractions. An initial exploratory analysis revealed substantial variations in the aqueous fraction attributable to aging time, year and season of production. Multivariate analysis was adopted to show these differences, mainly attributable to amino acids. In contrast, the lipid fraction analysis highlighted the impact of production season on fatty acid unsaturation, influenced by feed variations. As regards the production process, this study focuses on the variations induced by bactofugation. In this respect, the aqueous fraction was found to be extensively influenced by this centrifugation step, affecting compounds crucial to organoleptic characteristics.

Influence of seasonal change and anthropogenic activities on the avifauna composition in a seasonal wetland of India

Abstract Seasonal wetlands harbour a mosaic of habitats that support a variety of niches for bird species. When seasonal change and anthropogenic activities are coupled with the landscape, the species richness and species composition are presumably influenced by such factors. This study aimed to evaluate avifauna diversity, to investigate feeding guilds, and to determine the impact of seasonality and tourism pressure as anthropogenic disturbance on the avian community of a wetland. Comprehensive surveys were conducted to gather all necessary data, followed by the application of analytical methods to assess the hypotheses formulated in the current research. A total of 61 bird species belonging to 14 orders have been recorded during this year-round study, where Passeriformes was the most dominant order with 27 bird species. The species richness was highest in winter, and five feeding guilds were identified. This study revealed a significant role of seasonality, and tourism pressure on avian species richness of Bortir Bil. The outcomes of the present study could serve as an important baseline to adopt sustainable and bird-friendly management plan for this seasonal wetland.

Seasonal Impact on Grade ≥2 Dermatitis in Patients With Breast Cancer Undergoing Radiotherapy: A Supplementary Analysis.

We investigated grade ≥2 dermatitis in patients irradiated for breast cancer. This study evaluated associations between dermatitis and the season during which radiotherapy took place. Associations between the season and grade ≥2 dermatitis were retrospectively evaluated in 327 breast cancer patients. Seasons were March to May (spring), June to August (summer), September to November (autumn), and December to February (winter). Subgroup analyses were performed considering fractionation, radiation technique, treatment volume, radiation boost, and deep-inspiration breath-hold technique. Furthermore, warmer and cooler months were compared. The season had no significant impact on the rate of grade ≥2 dermatitis in the entire cohort (p=0.63) nor in the subgroup analyses (p-values between 0.17 and 0.82). No significant difference in rate was found between warm and cool months. Grade ≥2 dermatitis was not associated with the season during which radiotherapy was performed. This factor may not be important for stratification in prospective trials.

Indoor-outdoor microbial exchange: Quantifying the contribution of outdoor sources to indoor microbiota across seasons

BackgroundBacteria and fungi are ubiquitous, suspended in the air, and have the potential to influence human health. However, the relationship between microbes in outdoor air, soil, and indoor air remains unknown. MethodsThis study comprehensively analyzed the microbes of indoor air, outdoor air and soil during summer and winter in Nanjing, a hot summer and cold winter city in China. A total of 102 rooms, 544 culturable samples, and 406 sequencing samples were investigated. The Sloan neutral model (SNM) and the fast expectation-maximization microbial source tracking (FEAST) were used to analyze the relationship between indoor and outdoor microbial communities. ResultsThe impact of season on bacterial diversity differed from that on fungal diversity. Microbial diversities and community structures in indoor air, outdoor air, and soil were similar within the same season but differed between seasons. The fitting results of the SNM indicated that the stochastic assembly processes of both indoor and outdoor airborne bacteria were greater in summer than in winter, whereas for airborne fungi, the situation was reversed. The FEAST calculating results suggested that outdoor air serves as a more significant source than soil for indoor air microbiota both in summer and winter. ConclusionThis study provided a new insight into understanding the quantitative contributions of outdoor sources to indoor airborne microbiota. Future studies should include a wider range of building types and extend across multiple seasons to provide deeper insights into the quantitative relationship between indoor and outdoor microbiota.

Impact of Gender, Location, and Seasonality on the Prevalence of Gonorrhea and Chlamydia Co-infections in Northern Vietnam

Impact of Gender, Location, and Seasonality on the Prevalence of Gonorrhea and Chlamydia Co-infections in Northern Vietnam

Dengue Virus and Zika Virus Seroprevalence in the South Pacific Populations of the Cook Islands and Vanuatu

Arboviral diseases are serious threats to global health with increasing prevalence and potentially severe complications. Significant arthropod-borne viruses are the dengue viruses (DENV 1-4), the Zika virus (ZIKV), and the chikungunya virus (CHIKV). Among the areas most affected is the South Pacific Region (SPR). Here, arboviruses not only cause a high local burden of disease, but the region has also proven to contribute to their global spread. Outpatient serum samples collected between 08/2016 and 04/2017 on three islands of the island states of Vanuatu and the Cook Islands were tested for anti-DENV- and anti-ZIKV-specific antibodies (IgG) using enzyme-linked immunosorbent assays (ELISA). ELISA test results showed 89% of all test sera from the Cook Islands and 85% of the Vanuatu samples to be positive for anti-DENV-specific antibodies. Anti-ZIKV antibodies were identified in 66% and 52%, respectively, of the test populations. Statistically significant differences in standardized immunity levels were found only at the intranational level. Our results show that in both the Cook Islands and Vanuatu, residents were exposed to significant Flavivirus transmission. Compared to other seroprevalence studies, the marked difference between ZIKV immunity levels and previously published CHIKV seroprevalence rates in our study populations is surprising. We propose the timing of ZIKV and CHIKV emergence in relation to recurrent DENV outbreaks and the impact of seasonality as explanatory external factors for this observation. Our data add to the knowledge of arboviral epidemics in the SPR and contribute to a better understanding of virus spread, including external conditions with potential influence on outbreak dynamics. These data may support preventive and rapid response measures in the affected areas, travel-related risk assessment, and infection identification in locals and returning travelers.

Seasonal drives on potentially toxic elements dynamics in a tropical estuary impacted by mine tailings

This study investigates the impact of seasonality on estuarine soil geochemistry, focusing on redox-sensitive elements, particularly Fe, in a tropical estuary affected by Fe-rich mine tailings. We analyzed soil samples for variations in particle size, pH, redox potential (Eh), and the content of Fe, Mn, Cr, Cu, Ni, and Pb. Additionally, sequential extraction was employed to understand the fate of these elements. Results revealed dynamic changes in the soil geochemical environment, transitioning between near-neutral and suboxic/anoxic conditions in the wet season and slightly acidic to suboxic/oxic conditions in the dry season. During the wet season, fine particle deposition (83%) rich in Fe (50 g kg−1), primarily comprising crystalline Fe oxides, occurred significantly. Conversely, short-range ordered Fe oxides dominated during the dry season. Over consecutive wet/dry seasons, substantial losses of Fe (−55%), Mn (−41%), and other potentially toxic elements (Cr: −44%, Cu: −31%, Ni: −25%, Pb: −9%) were observed. Despite lower pseudo-total PTE contents, exchangeable PTEs associated with carbonate content increased over time (Cu: +188%, Ni: +557%, Pb: +99%). Modeling indicated climatic variables and short-range oxides substantially influenced PTE bioavailability, emphasizing the ephemeral Fe oxide control during the wet season and heightened ecological and health risks during the dry seasons.

Application of Irrigation Management and Water-Lifting Technologies to Enhance Fodder Productivity in Smallholder Farming Communities: A Case Study in Robit Bata, Ethiopia

Small-scale cultivation of irrigated fodder is emerging as a vital production system in mixed farming communities. Efficient water management plays a key role in enhancing forage production, especially in the face of changing climate. A field-scale experimental study was conducted in Robit Bata kebele, Ethiopia, with the following objectives: (1) to examine the effects of conventional farmers’ irrigation scheduling versus climate-based irrigation scheduling; and (2) to assess the influence of water-lifting technologies (manual pulley and solar Majipump) on dry matter yield (DMY), water productivity (WP), irrigation labor productivity (ILP), and water productivity in terms of crude protein and metabolizable energy (WP.CP and WP.ME) of Napier grass. The experiment used 10 farmers’ plots each with a size of 100 m2. Half of the plots were treated using farmers’ scheduling while the other half were treated using climate-based irrigation scheduling. Monitoring of irrigation water use and crop yield took place over two irrigation seasons from November 2020 to June 2021. Results showed there was an interaction effect of irrigation management (p = 0.019) and water-lifting technologies (p = 0.016) with season on DMY. The highest DMY occurred in the first irrigation season with climate-based scheduling and solar Majipump use. The interaction effect of irrigation management and season affected WP (p = 0.047). Climate-based scheduling had a higher WP in the first season, while farmers’ scheduling had a higher WP during the second season. On average, the solar Majipump outperformed the pulley, achieving 5 kg m−3 WP compared to the pulley’s 4 kg m−3 (p = 0.018). Emphasizing the seasonal impact, it is recommended to promote full irrigation (climate-based) in the first season for maximum yield and WP. Conversely, in the second season, advocating only deficit irrigation is advised due to water scarcity and sustainability concerns. Statistical parity in DMY and lower WP with full irrigation in the second season supports this recommendation, addressing the challenge of optimizing water use in the context of a changing climate and ensuring sustainable smallholder agriculture practices. Therefore, implementing appropriate irrigation management alongside efficient water-lifting technologies holds the potential to enhance fodder productivity and bolster smallholder farmers’ livelihoods. Future research should explore the comparative benefits of irrigated fodder versus other crops and the overall advantages of investing in irrigated fodder over vegetables.

Seasonal impact on Q fever in sheep, Bosnia and Herzegovina

This study investigates the prevalence of Coxiella burnetii antibodies in sheep and examines the seasonal impact on Q fever distribution. A total of 253 blood samples from sheep in Bosnia and Herzegovina during summer and winter were used, and, the research employed ELISA testing for antibody detection. Findings revealed a significant seasonal variation in seroprevalence, with 41 positive cases identified: 37 in winter and 4 in summer, indicating a higher infection rate during colder months. Statistical analysis suggests a significant association (p<0.05) between season and infection rates; winter conditions, increased indoor density, and lambing activities may elevate transmission risks. These results underscore the importance of considering seasonal factors in Q fever management and surveillance in sheep, contributing to a better understanding of its epidemiology and informing public health strategies. The study highlights the need for further systemic-epidemiological research across different geographies and management practices to elucidate the full impact of seasonality on Q fever prevalence.

The four seasons of pancreatitis - Etiology of acute pancreatitis during the course of the year.

Whether seasonality is a factor that influences the incidence of acute pancreatitis (AP) is an under-investigated area. If seasonal incidence peaks can be detected, specifically with regard to biliary pancreatitis, has so far been answered in contradictory ways in the literature. All AP cases from two tertiary German referral centers were identified between 2016 and 2022 based on ICD-10 discharge codes. The χ2 test for goodness of fit was applied to test significant differences in monthly and seasonal distributions of AP admissions. In total, 3597 AP cases were included. We observed significantly more idiopathic and biliary cases in May to July (p-values 0.041 and 0.027, respectively). Furthermore, most drug-induced APs were identified during the winter months (p-value 0.006). Moreover, there was a significant peak of alcohol-induced pancreatitis in summer and fall (p-value 0.038). Our data indicate a seasonal impact on AP incidences for certain etiologies.

Impact of vegetation composition and seasonality on sensitivity of modelled CO2 exchange in temperate raised bogs

Encroachment of vascular plants (VP) in temperate raised bogs, as a consequence of altered hydrological conditions and nutrient input, is widely observed. Effects of such vegetation shift on water and carbon cycles are, however, largely unknown and identification of responsible plant physiological traits is challenging. Process-based modelling offers the opportunity of gaining insights into ecosystem functioning beyond observations, and to infer decisive trait shifts of plant functional groups. We adapted the Soil–Vegetation–Atmosphere Transfer model pyAPES to a temperate raised bog site by calibration against measured peat temperature, water table and surface CO2 fluxes. We identified the most important traits determining CO2 fluxes by conducting Morris sensitivity analysis (MSA) under changing conditions throughout the year and simulated VP encroachment. We further investigated transferability of results to other sites by extending MSA to parameter ranges derived from literature review. We found highly variable intra-annual plant traits importance determining ecosystem CO2 fluxes, but only a partial shift of importance of photosynthetic processes from moss to VP during encroachment. Ecosystem respiration was dominated by peat respiration. Overall, carboxylation rate, base respiration rate and temperature sensitivity (Q10) were most important for determining bog CO2 balance and parameter ranking was robust even under the extended MSA.

Threshold dynamics of a reaction–advection–diffusion schistosomiasis epidemic model with seasonality and spatial heterogeneity

Most water-borne disease models ignore the advection of water flows in order to simplify the mathematical analysis and numerical computation. However, advection can play an important role in determining the disease transmission dynamics. In this paper, we investigate the long-term dynamics of a periodic reaction–advection–diffusion schistosomiasis model and explore the joint impact of advection, seasonality and spatial heterogeneity on the transmission of the disease. We derive the basic reproduction number R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathcal {R}}_0$$\\end{document} and show that the disease-free periodic solution is globally attractive when R0<1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathcal {R}}_0<1$$\\end{document} whereas there is a positive endemic periodic solution and the system is uniformly persistent in a special case when R0>1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathcal {R}}_0>1$$\\end{document}. Moreover, we find that R0\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathcal {R}}_0$$\\end{document} is a decreasing function of the advection coefficients which offers insights into why schistosomiasis is more serious in regions with slow water flows.

Identifying daily water consumption patterns based on K-means Clustering, Agglomerative Hierarchical Clustering, and Spectral Clustering algorithms

ABSTRACT Understanding daily water consumption patterns is crucial for efficient management and distribution of water resources, as well as for promoting energy conservation and achieving carbon peaking and neutrality targets. It compares performance of three clustering algorithms, K-means Clustering (KC), Agglomerative Hierarchical Clustering (AHC), and Spectral Clustering (SC), using Silhouette Coefficient Index (SCI) and Calinski–Harabasz Index (CHI) as evaluation metrics. We conducted a case study using original hourly flow series of a water distribution division. It aims to identify typical daily water consumption patterns and explore factors that influence them. Findings are as follows: (1) among the three algorithms, KC demonstrates the best, with SCI of 0.6315, 0.5922, and 0.6272, and CHI of 305.9207, 274.1120, and 302.4738 for KC, AHC, and SC, respectively. (2) KC successfully identifies three distinct typical daily water consumption patterns. (3) Results indicate a significant impact of seasons on daily water consumption patterns. (4) Conversely, weekdays and holidays have minimal effect on daily water consumption patterns. It highlights the importance of comprehending daily water consumption patterns and underscores the effectiveness of KC in identifying such patterns. Furthermore, it emphasizes the significant influence of seasons while revealing limited impact of weekdays and holidays on daily water consumption patterns.