Periodic Intervals Research Articles

Eighth order, Numerov-like schemes with coefficients tailored for superior performance on ODE systems with oscillatory solutions

<p>Second order Ordinary Differential Equations (ODE) were considered. Numerov-like techniques employing effectively seven stages per step and sharing eighth algebraic order were under examination for numerically solving them. The coefficients of these methods were contingent on four independent parameters. To tackle issues with oscillatory solutions, we typically aimed to fulfill specific criteria such as minimizing phase-lag, expanding the periodicity interval, or even neutralizing amplification errors. These latter attributes stemmed from a test problem mimicking an ideal trigonometric trajectory. Here, we suggested training the coefficients of the chosen method family across a broad spectrum of pertinent problems. Following this training using the differential evolution method, we identified a particular method that surpassed others in this category across an even broader array of oscillatory problems.</p>

White Matter Lesion Volumes on 3-T MRI in People With MS Who Had Followed a Diet and Lifestyle Program for More Than 10 Years.

Background: Cerebral white matter lesion (WML) formation in people with multiple sclerosis (pwMS) is linked to the death of myelin-producing oligodendrocytes. Current MS treatment strategies focus on limiting WML accumulation and disability. Using a pathology-supported genetic testing (PSGT) program, we identified specific risk factors for MS, categorized as deficiencies and aggravators. We developed a novel clinical methodology to mitigate these risk factors, including personalized lifestyle interventions and optimization of cerebral nutrients to prevent oligodendrocyte demise and promote remyelination. Objective: To conduct a pilot case-control study over a 10-year period to ascertain whether the PSGT Program can reduce or prevent WML formation in pwMS. Methods: MRI was performed at baseline as well as after an interval period of at least 10 years or longer in 22 pwMS. WML volumes were determined using Sequence Adaptive Multimodal SEGmentation (SAMSEG) software, part of FreeSurfer 7.2. Other variables included age at MRI, disease duration, disability status, and medication. Results: PwMS (n = 13) who had followed the PSGT program for more than 10 years, had significantly smaller lesion volumes (mm3) compared to pwMS who did not adhere to the program (n = 9) (4950 ± 5303 vs. 17934 ± 11139; p = 0.002). WML volumes were significantly associated (p = 0.02) with disability (EDSS) but not with age (p = 0.350), disease duration (p = 0.709), or Interferon-β treatment (p = 0.70). Conclusion: Dietary and lifestyle changes may lower the risk of developing cerebral WMLs in pwMS and potentially slow disease progression. Larger studies are required to confirm the effectiveness of such interventions in pwMS.

Solution of Integral of the Fourth Power of a Finite-Length Exponential Fourier Series

For a periodic function in the form of a finite-length exponential Fourier series (i.e., a discrete finite Fourier transform), this work derives an analytical solution to the definite integral of the fourth power of the function across its periodic interval.

Investigation on the Mineral Configurations, Antioxidant Power, and Durability in Processed Tamarind (Tamarindus indica L.) Seed Powder

ABSTRACT: The pulp from the tamarind (Tamarindus indica L.) manufacturing sector disposes of the tamarind seed as waste materials. In the present investigation, processed Tamarindus indica L. seed powders' mineral compositions, antioxidant activities, and duration of shelf life have been investigated. Standard techniques were used to analyze the mineral compositions, antioxidant activity (Total Phenolic, Flavonoid content and 2,2-diphenyl-1-picrylhydrazyl) and shelf life (Total plate count (TPC), fungi, and mold) in processed tamarind powder at periodic intervals of 0, 2, 4, 6, and 8 months. The subsequent minerals were substantially more abundant in the roasted T.indica seed flour. The roasted T. India seed powder had high antioxidant powers of 19.83mg of TFC, 49.5mg of TPC, and 31 g/ml of 2,2-diphenyl-1-picrylhydrazyl (DPPH). The roasting method increases the best antioxidant potency and low glycemic index and glycemic load. The total plate counts of the processed T. India seed powder were within the legally permitted ranges of 107 cfu/g, and fungi and mold proliferation were at extremely low levels, so the powder could be used to make additional nutritional products. Roasted seed powder can be employed as a therapeutic food and as a food supplement because of its vital mineral elements and strong antioxidant potential.

Ways to increase the effectiveness of hypertension correction during antitumor therapy with the use of VEGF inhibitors

In recent years, cardioncology has rapidly become responsible for comprehensive decision-making appropriate cancer patients receiving cardiotoxic cancer therapy. Currently, the implementation of a multidisciplinary approach in the correction of adverse events using various drug antitumor therapy regimens is becoming increasingly relevant. In particular, given the widespread use of vascular-endothelial growth factor inhibitors, both at the heart of complex schemes and in mono-supportive modes. It is important to timely identify and correct such a clinically significant adverse event as an increase in blood pressure at the time of administration and in the early follow-up period. Adherence to standard drug regimens for hypertension, which usually provide satisfactory blood pressure control between cycles of administration of vascular-endothelial growth factor inhibitors, in a number of patients did not allow the same effective retention of blood pressure in the planned intervals with the administration of bevacizumab. The intensification of drug therapy for hypertension, both at the pre-infusion stage and at the time of an increase in blood pressure, was of a multidirectional nature. Search and summarize information on the availability and development of physiotherapeutic treatment methods for the correction of hypertension during antitumor therapy in cancer patients using vascular-endothelial growth factor inhibitors. 35 literature sources were analyzed. There are no data on the development of physiotherapeutic methods for the treatment of bevacizumab-induced hypertension. Domestic sources ― 25 articles. Foreign sources ― 10 articles. An analysis of the literature concluded that there is a lack of research on the development of physiotherapeutic methods for the treatment of bevacizumab-induced hypertension. In order to reduce the cardiotoxicity of humanized recombined monoclonal antibodies, maintain the dose interval period, improve survival and eliminate the need for dose adjustment of antihypertensive drugs, it is proposed to consider the use of preformed physical factors in the treatment of bevacizumab-induced hypertension.

Random hierarchical model for estimation of wheat yield in the North China Plain at different spatial scales

Accurate and large-scale wheat yield prediction in the North China Plain (NCP) can provide necessary information for agricultural policies and agricultural trade. Many studies have presented wheat yield estimation methods by using existing machine learning methods and remote sensing (RS) or environmental data. However, these methods only blindly input multi-source data into the model and do not consider the hierarchical relationships and interaction between different data types. In addition, there has been scant attention paid to the consistency of yield estimation models across varying spatial scales. To address these problems, a novel dynamic yield estimation model, known as random hierarchical model (RHM), which takes into account the hierarchical relationship of multi-source data, is constructed to estimate the wheat yield in the NCP. First, the time interval of wheat growth period is refined by using the 24 solar terms in China, and a time series multi-source dataset of climate, soil, and RS is constructed. Second, the hierarchical linear model is used to layer multi-source data and randomly select environmental and RS features with multiple time intervals. Multiple hierarchical models are constructed and optimized for integration, and the interrelationships between data collected at different levels are fully utilized, which can improve the accuracy of the yield estimation models in interannual and large-scale applications. Finally, the RHM at different spatial scales is cross-verified by using the measured and statistical data of the NCP for 4 years. The results indicated that the error of the RHM estimation is smaller than that of widely used machine learning models at different spatial scales of field-level measurement data (R2 = 0.52, nRMSE = 16.43%), county-level measurement integration data (R2 = 0.62, nRMSE = 12.83%), and county-level official statistics (R2 = 0.68, nRMSE = 11.41%). Our proposed RHM that considers the hierarchical structure of multi-source data is a reliable and a promising method for improving yield estimation. In addition, heterogeneity in the hierarchical relationships is observed between the different types of data in the RHM at different spatial scales, resulting in differences in the optimal lead time for estimating yield and the importance of key driving factors in the model, indicating that the cross-spatial scale applications of the model are not allowed. This study provides insights for large-scale wheat yield estimation and yield response to different environments and provided evidence and explanation for the prohibition of generalization of models at different spatial scales.

Application of noise-filtering techniques to data-driven analysis of electric power systems based on higher-order dynamic mode decomposition

A transition to renewable energy is increasing the long-distance export of power, with reduced spinning inertia and small stability margins. In this work, we apply higher-order variants of a data-driven technique, the dynamic mode decomposition (DMD), for stability analysis and short-term prediction of power systems with renewable sources of energy. In the present paper we study the sampling duration for extraction of physically relevant dynamics suitable for prediction using noisy historical measurements of power system disturbance events. Trends in behaviour of the dominant mode are studied to estimate the singular value threshold and the delay embedding for prediction. In a sampling window around ten times the dominant periodic interval, the higher-order Kalman filtering DMD and extended Kalman filtering DMD (filtering for system identification) are newly applied to predict an historical resonance and a possible near-resonance events of single dominant frequency. In turn, multiple frequencies of a wide-area oscillatory disturbance with low-level non-Gaussian noise are best captured and predicted using the total-least-squares higher-order DMD.

Perinatal outcomes and long-term infectious morbidity of offspring born to mothers with familial Mediterranean fever.

To investigate perinatal outcomes and long-term infectious morbidity in children of mothers with familial Mediterranean fever (FMF). A population-based cohort study comparing perinatal outcomes and long-term infectious morbidity of offspring of mothers with and without FMF was conducted. All singleton deliveries between the years 1991-2021 in a tertiary medical center were included. The study groups were followed until 18years of age for long-term infectious morbidity. A Kaplan-Meier survival curve was used to compare the cumulative incidence of long-term infectious morbidity, and generalized estimation equation (GEE) models as well as Cox proportional hazards models were constructed to control for confounders. During the study period, 356,356 deliveries met the inclusion criteria. 411 of them were women with FMF. The mean follow-up period interval was 9.7years (SD = 6.2) in both study groups. Using GEE models, preterm delivery, cesarean delivery, and low birth weight were independently associated with maternal FMF. The total infectious-related hospitalization rate was significantly higher in offspring born to mothers with FMF compared to the comparison group (Kaplan-Meier survival curve, log-rank p < 0.001). Using a Cox proportional hazards model, controlling for gestational age, maternal age, diabetes mellitus, cesarean delivery, and hypertensive disorders, being born to a mother with FMF was found to be an independent risk factor for long-term infection-related hospitalization of the offspring. Maternal FMF was found to be independently associated with long-term infection-related hospitalization of the offspring. This positive correlation may reflect an intra-uterine pro-inflammatory environment which may result in the offspring's long-term susceptibility to infection.

Energy harvesting from friction-induced vibrations in vehicle braking systems in the presence of rotary unbalances

A severe limitation of energy harvesting from friction-induced vibrations in vehicle brakes is that the voltage generated is significant only at low vehicle speeds. The present work suggests a strategy to overcome this limitation by the utilisation of ambient vibrations resulting from rotary unbalances of vehicle components. A realistic model for vibrations in the brake pad of a disc brake under the action of rotary unbalance is used. The brake pad vibration is modelled using a non-smooth stick–slip oscillator in the presence of Stribeck friction. A weightless shaft of rectangular cross-section rotating at constant angular speed and having an unbalanced mass concentrated at its centre is used to model rotary unbalances. It is shown that the rotary unbalance provides parametric excitation to the brake pad mass undergoing friction-induced self-excited vibration leading to synchronising patterns via Neimark–Sacker bifurcation. Such synchronisation is successful in ensuring steady voltage generation over a much wider speed bandwidth. The qualitative nature of the different solution regimes interspersed with periodic intervals are determined by Lyapunov exponents. The technique used to arrive at the Lyapunov exponents in the present discontinuous model is outlined, and MATLAB code for the same is provided in the appendix.

Uptake and Distribution of Carbofuran and its Metabolites in Watermelon (Citrullus lanatus)

Carbofuran is toxic to humans and the environment, and its misuse in agriculture results in the violation of Maximum Residue Limits (MRL) for most crops. The use of carbofuran in Malaysia is to be banned effectively in May 2023. Limited data were published on the uptake and distribution of carbofuran and its metabolites for most crops. Therefore, a study was conducted to assess carbofuran residues in watermelon grown at the Agriculture Research Centre, Semongok. Carbofuran at 17 kg/ha and 34 kg/ha were applied to watermelon planted under the recommended agronomic practices. The plants were sampled at periodic intervals over 63 days after being treated with carbofuran. The carbofuran and their metabolites in the watermelon leaf, stem, and fruits were determined using a liquid chromatography equipped with a triple quadrupole mass spectrometer. The carbofuran residues were observed up to 35 days after application and reached below the quantification level (0.01 mg/kg) at 42 days after application. Residues were concentrated in the roots and stems for both treatments. About 80 to 90% of the carbofuran was metabolized to carbofuran-3-hydroxy in the watermelon leaves, and 50% in the stems. The highest residue level of carbofuran for application at 17 kg/ha was recorded on Day 9 for roots (0.192 mg/kg), Day 21 for leaves (0.057 mg/kg), and Day 5 for stems (0.134 mg/kg). At 34 kg/ha, the highest carbofuran residues concentrations were recorded on Day 5 for root (0.446 mg/kg) and stem (0.151 mg/kg), and Day 3 for leaves at 0.303 mg/kg. Traces of carbofuran residues were detected in the skin and flesh of the fruit. The carbofuran residue levels in watermelon fruit were below the established MRL of 0.01 mg/kg. Our findings suggest that a proper postharvest interval shall be observed.

Analysis of vibration and load-sharing characteristics of two-stage planetary gear transmission system with cracks

To reveal the influence of cracks on the dynamic characteristics of a two-stage planetary gear transmission system (TSPGTS), a nonlinear dynamic model with 30-DOF in bending and torsion was constructed, taking into account parameters of different crack degrees (depth, angle, length), as well as factors such as error, time-varying meshing stiffness (TVMS), and damping. In the model, the TVMS model of components with cracks was established using the potential energy method. By incorporating the crack factor into the model, time domain, frequency domain, phase diagram, and Poincare diagram characterizing the dynamic load characteristics were obtained, as well as the curve of dynamic load-sharing characteristics changing with cracks. The influence of different crack degrees on the displacement vibration and dynamic load characteristics of the system was analyzed, and vibration testing experiments were conducted on the system with planetary gear cracks. The results indicate that when the gear contains cracks, it will lead to a decrease in the stiffness of the system, when cracks appear on the II-stage planetary gear, the system will experience impact components with intervals of the rotation period of the II-stage planetary gear, and obvious sidebands will appear near the meshing frequency doubling. These situations will become more pronounced as the degree of cracks intensifies. As the degree of cracks in the II-stage planetary gear increases, the dynamic load-sharing characteristics of the TSPGTS will first improve and then deteriorate, and as the degree of cracks increases, the external and internal dynamic load coefficients continue to increase. Through experiments, the influence of normal gears and cracked gears on system vibration changes was compared and analyzed, and the theoretical results were in good agreement with experimental results, verifying the correctness of the theoretical model. This provides a theoretical basis for fault diagnosis and reliability research of the system.

Tracking fouling layer formation in membrane distillation of landfill leachate concentrate: Insights from periodic membrane autopsies

This study tracked the fouling layer formation in the operation of membrane distillation (MD) for the treatment of landfill leachate concentrate. At periodic intervals, the membrane fouling layer was autopsied by spectroscopic and compositional analyses, to provide insight into foulant evolution and interaction mechanisms. Results show that water flux declined rapidly at the beginning of MD operation as protein and sodium chloride (NaCl) preferentially attached and crystalized onto the membrane surface, respectively, to initiate the formation of fouling layer. Such decline became relatively smooth between the water recovery of 20–30% due to the interaction of humic acid with protein which slightly aggravated organic fouling and thus increased membrane surface hydrophilicity. Nevertheless, the enrichment of calcium (Ca2+) and magnesium (Mg2+) ions with further water recovery from leachate concentrate bridged organic foulants, particularly polysaccharide and humic acid, to further thicken the hydrophilic fouling layer to reduce water flux. Indeed, compositional quantification also evidenced a considerable increase in the content of humic acid and divalent cations (Ca2+ and Mg2+) in the fouling layer after a water recovery of 30%.

Flow topology in the gap and wake of convex curved tandem cylinders

Flow around curved tandem cylinders in the convex configuration has been studied by means of direct numerical simulations, for a Reynolds number of 500 and a nominal gap ratio of 3.0. Spanwise variation of flow regimes, as well as curvature-induced axial velocity, leads to an exceedingly complex vortex dynamics in the wake. Both parallel and oblique vortex shedding are observed. Oblique shedding is connected to repeated occurrences of dislocations. The dislocations are caused by two main mechanisms: frequency differences in the upper part of the curved geometry and shedding of gap vortices into the lower near wake. Both types of dislocations are closely associated with a mode switch in the gap. In parts of the gap, there is low-frequency quasi-periodic asymmetry of the gap vortices, where the flow is biased to one side of the gap for intervals of several wake vortex shedding periods. The switch from side to side is associated with a surge of the vertical velocity, and the frequency of the switch is similar to that of long-term variation of the recirculation length in the lower gap.

Amplification of an Electrochemiluminescence-Emissive Aptamer into DNA Nanotags for Sensitive Fecal Calprotectin Determination.

The precision additive manufacturing and tessellated multitasking out of the structural DNA nanotechnology enable a configurable expression of densified electrochemiluminescent (ECL) complexes, which would streamline the bioconjugation while multiplying signals. Herein, a completely DNA-scaffold ECL "polyploid" was replicated out via the living course of rolling circle amplification. The amplicon carried the aptameric sequences of ZnPPIX/TSPP porphyrin as photoreactive centers that rallied at periodical intervals of the persistent extension into a close-packed nanoflower, ZnPDFI/II. Both microscopies and electrophoresis proved the robust nesting of guests at their deployed gene loci, while multispectral comparisons among cofactor substituents pinpointed the pivotal roles of singlet seclusion and Zn2+-chelation for the sake of intensive ECL irradiation. The adversity-resilient hydrogel texture made lipoidal filmogens as porphyrinic ECL prerequisites to be of no need at all, thus not only simplifying assay flows but also inspiring an in situ labeling plan. Upon bioprocessing optimization, an enriched probe ZnPDFIII was further derived that interpolated the binding motif related to calprotectin as validated by molecular docking and affinity titration. With it being a strongly indicative marker of inflammatory bowel disease (IBD), a competitive ECL aptasensing strategy was contrived, managing a signal-on and sensitive detection in mild conditions with a subnanogram-per-milliliter limit of detection by 2 orders of magnitude lower than the standard method as well as a comparable accuracy in clinical stool sample testing. Distinct from those conventional chemophysical rebuilding routes, this de novo biosynthetic fusion demonstrated a promising alternative toward ECL-source bioengineering, which may intrigue vibrant explorations of other ECL-shedding fabrics and, accordingly, a new bioanalytic mode downstream.

Wavelets in the analysis of local time series of the Earth's surface air

The practical application of local smoothing and wavelet analysis methods for studying the spectral composition and coherent relationships of local average annual surface air temperatures with solar activity and the displacement of the Earth's North Pole is presented. A preliminary analysis of local time series of surface temperatures revealed the presence of emissions and their localization. It is shown that to eliminate the influence of outliers (short-term events) on the reliability of identifying a long-term nonlinear trend, the wavelet decomposition method, which filters high frequencies, is most suitable. Functional approximation models are constructed and compared at different levels of wavelet decomposition of the data. Time or scale smoothing is used to improve the reliability of the wavelet spectrum. Based on data on average annual surface air temperatures in Yalta (44.48⁰, 34.17⁰, = 72.0 m) for the time interval from 1869 to 2022, functional models of long-term trends were built and used to obtain short-term forecasts. Information about the linear relationship of events in the compared time series is obtained and discussed in the analysis of wavelet cross-correlation, wavelet coherence and phase coherence. Local similarities were discovered between data on surface air temperature and solar activity data (Wolf numbers) for a period of ∼(30–70) years, as well as oscillations with period of 11 years, manifested in the constancy of the phase difference and an increase in the modulus of wavelet coherence power over time. Localized similarities were also found in data on surface air temperature in Yalta and in data on displacements of the Earth's mean pole relative to the conventional beginning of EOP (IERS) CO1 in the interval of periods ∼ (30–70) years.

The Effect of CAMELS Ratio on Banking Distress in Private Banking Sector Listed on The IDX Period 2020 – 2022

This study aims to determine the effects of CAMELS ratio analysis (Capital, Asset Quality, Management, Earnings, Liquidity, and Sensitivity to Market Risk) on Banking Distress in the private banking sector that is listed on the Indonesian Stock Exchange (IDX) for the period 2019 – 2021. The object of this research is 31 private banks, and the data collection technique uses a purposive sampling technique. The data source needed in the research is secondary data, which is annual financial statements from Indonesian Stock Exchange. This research is conclusive on causality by using the Logistic Regression Analysis technique on IBM SPSS tools version 29 software. The result shows that the variables Capital Adequacy Ratio (CAR) and Non-Performing Loans (NPL) have a positively significant effect on Banking Distress, while Operating Expenses to Operating Income (BOPO), Net Profit Margin (NPM), Return on Assets (ROA), Loan to Deposit Ratio (LDR), and Interest Rate Risk (IRR) have no significant effect on Banking Distress. This study can be a valuable reference for banking sectors in avoiding indicators leading to banking distress. Future researchers can develop the elements from this research, including a more expansive period of interval, carrying more varied independent variables from external factors, and using other more accurate models.

Warm Bulb Storage Optimises Flowering Attributes and Foliage Characteristics in Amaryllis belladonna L.

Amaryllis belladonna is an autumn-flowering bulbous geophyte endemic to the Western Cape, South Africa. The species’ erratic flowering disposition and brief flowering period upon maturity limit its economic productivity and competitiveness within the traditional genera of cut flowers and potted plants. However, it can be an attractive, eco-friendly, seasonal addition to the specialty floriculture market. A 10-month study evaluated the effects of a warm storage period on A. belladonna bulbs’ flowering yield, flowering time, quality characteristics, and foliage growth. The experiment comprised dormant flower-sized bulbs randomly assigned to one of six storage regimes of either a 0- (no storage control), 4-, 6-, 8-, 10-, or 12-week interval periods at a continuous warm temperature of 23 ± 1 °C before planting into pots between mid-November 2021 and mid-February 2022 in the greenhouse. The results showed that flowering production (64.3% flowering after the 12-week storage), flowering time (anthesis occurring 9 days after the 10- and 12-week storage), and quality attributes (number of florets in the inflorescence, scape diameter, inflorescence fullness ratio, and pot longevity) of A. belladonna scapes were significantly impacted by warm bulb storage, but not foliage growth. Irrespective of bulb storage, inflorescence abortion occurred. An extended bulb storage did not advance the flowering time despite a greater harvest and shorter cultivation periods after planting. This study established that a cumulative temperature range during bulb dormancy is crucial for supporting the A. belladonna inflorescence maturity’s energetic demands and the opening of floret buds. Bulbs should be stored at elevated temperatures for at least 8–10 weeks to attain the best floret-quality attributes and longevity. However, for an economical and sustainable greenhouse and specialty cut flower production, 12-week warm bulb storage is recommended to achieve the optimal anthesis in the shortest interval for this seasonal single-harvest species after planting.

Analysis of the EFARC non-pillar mining stope: roof failure and overlying pressure in inclined coal seams

During the process of coal mining, there is a violent appearance of mining stress when the initial weighting occurs. To guarantee the safety of the gob-side entry formed automatically by roof-cutting (EFARC) in an inclined coal seam, a study was conducted on the initial weighting mechanism and appearance characteristics through field monitoring and theoretical analysis. The findings reveal that, upon the initial breaking of the main roof in the non-pillar mining stope of an inclined coal seam, the deflection of the thin plate structure exhibits asymmetric distribution, with the maximum position situated in the middle-upper part of the thin plate. As the main roof thin plate reaches its limit interval, the tensile fracture first occurs in the middle-upper part of the coal wall in front and back of the stope. Once broken, the thin plate changes to a simply supported state. The analysis of field data reveals that the mine pressure in the non-pillar stope of EFARC shows an asymmetric weighting phenomenon. The periodic weighting interval at the ends of the working face increases, and the weighting intensity decreases. These results can serve as theoretical support for controlling mine pressure in non-pillar mining through EFARC in inclined coal seams and can serve as a basis for further investigations in this area.

Far-Field Accelerograms for Nonlinear Two-Dimensional Analysis of Steel Moment Frame

Due to destructive effects of earthquake loads, acceptable assessment of these loads and create a coordinated approach adapted to each seismic zone, is important. In this study, the main purpose is preparing an appropriate list of far field accelerograms for nonlinear two-dimensional analyses. The main focus of this study is to evaluate all parameters affecting on proper accelerogram selection. By considering 2000 accelerograms and all effective parameters include distance, magnitude, frequency content, earthquake mechanism, soil and properties of earth layers, a list of 20 accelerograms were presented for nonlinear two-dimensional analyses. These proposed accelerograms represent the actual ground motion as much as possible. Also, the study of final scale factor of accelerograms for steel moment frame have been obtained with point-to-point difference in periodic intervals corresponding to each frame method.

Shoreline change pattern analysis of Nagapattinam coastal stretch, Tamilnadu, India using digital shoreline analysis system (DSAS)

We analysed Nagapattinam coastal zones of southeast coast of India, using Multitemporal satellite images for five equal interval of time period (i.e. 2000, 2005, 2010, 2015, 2020 and 2021). The EPR and LLR methods enumerate the maximum accretion at rates of 22.35, 17.02 m/year and maximum erosion rates of -22.82, -10.84 m/year at the study area coastal stretch. This modification is due to several disasters (like Tsunami, cyclone) and anthropogenic activities (like construction of harbours, excavation of beach sand, industrialisation of garbage dump, urbanisation and discharge of domestic sewage). The Kalman filter model forecasting the shoreline by using statistical analysis shows 242 and 236 m in 2031 and 2041 accretion and erosion of -239 and -226 m in same period. The accretion was mainly observed in Vedaranyam and Thirupoondi and erosion was observed in Tharangambadi, Nagapattinam Poompuhar, Karaikal and Thirumullaivasal region. The outcome of this research ensures to create awareness to protect our shoreline and manage our coastal zones properly with several remedial measures for the future.