Assessing environmental impact:Micro-energy network optimization in a Chinese industrial park

Micro-energy systems contribute significantly to environmental improvement by reducing dependence on power grids through the utilization of multiple renewable energy sources.This study quantified the environmental impact of a micro-energy network system in an industrial park through a life cycle assessment using the operation of the micro-energy network over a year as the functional unit and“cradle-to-gate”as the system boundary.Based on the baseline scenario,a natural gas generator set was added to replace central heating,and the light pipes were expanded to constitute the optimized scenario.The results showed that the key impact categories for both scenarios were global warming,fine particulate matter formation,human carcinogenic toxicity,and human non-carcinogenic toxicity.The overall environmental impact of the optimized scenario was reduced by 68%compared to the baseline scenario.A sensitivity analysis of the key factors showed that electricity from the power grid was the key impact factor in both scenarios,followed by central heating and natural gas.Therefore,to reduce the environmental impact of network systems,it is necessary to further optimize the grid power structure.The research approach can be used to optimize micro-energy networks and evaluate the environmental impact of different energy systems.

Theory and practice for assessing structural integrity and dynamical integrity of high-speed trains

Purpose–The safety and reliability of high-speed trains rely on the structural integrity of their components and the dynamic performance of the entire vehicle system.This paper aims to define and substantiate the assessment of the structural integrity and dynamical integrity of high-speed trains in both theory and practice.The key principles and approacheswill be proposed,and their applications to high-speed trains in Chinawill be presented.Design/methodology/approach–First,the structural integrity and dynamical integrity of high-speed trains are defined,and their relationship is introduced.Then,the principles for assessing the structural integrity of structural and dynamical components are presented and practical examples of gearboxes and dampers are provided.Finally,the principles and approaches for assessing the dynamical integrity of highspeed trains are presented and a novel operational assessment method is further presented.Findings–Vehicle system dynamics is the core of the proposed framework that provides the loads and vibrations on train components and the dynamic performance of the entire vehicle system.For assessing the structural integrity of structural components,an open-loop analysis considering both normal and abnormal vehicle conditions is needed.For assessing the structural integrity of dynamical components,a closed-loop analysis involving the influence of wear and degradation on vehicle system dynamics is needed.The analysis of vehicle system dynamics should follow the principles of complete objects,conditions and indices.Numerical,experimental and operational approaches should be combined to achieve effective assessments.Originality/value–The practical applications demonstrate that assessing the structural integrity and dynamical integrity of high-speed trains can support better control of critical defects,better lifespan management of train components and better maintenance decision-making for high-speed trains.

A Systems Approach to Assessing Sustainability Capacity in Kalobeyei Refugee Settlement in Turkana County, Kenya

Refugee settlements face several challenges in transitioning from a temporary planning approach to more sustainable settlements. This is mainly due to an increase in the number of forcibly displaced people over the last few decades, and the difficulties of sustainably providing social services that meet the required standards. The development of refugee settlements assumed that forcibly displaced people would return to their places or countries of origin. Unfortunately, displacement situations are prolonged indefinitely, forcing these people to spend most of their lives in conditions that are often deplorable and substandard, and therefore unsustainable. In most cases, the establishment of refugee settlements is triggered by an emergency caused by an influx of forcibly displaced people, who need to be accommodated urgently and provided with some form of international assistance and protection. This leaves little or no time for proper planning for long-term development as required. In addition, the current approach to temporary settlement harms the environment and can strain limited resources with ad hoc development models that have exacerbated difficulties. As a result, living conditions in refugee settlements have deteriorated over the last few decades and continue to pose challenges as to how best to design, plan, and sustain settlements over time. To contribute to addressing these challenges, this study proposes a new methodology supported by Model-Based Systems Engineering (MBSE) and a Systems Modeling Language (SysML) to develop a typical sustainable human settlement system model, which has functionally and operationally executed using a Systems Engineering (SE) approach. To assess the sustainability capacity of the proposed system, this work applies a matrix of crossed impact multiplication through a case study by conducting a system capacity interdependence analysis (SCIA) using the MICMAC methodology (Cross-impact matrix multiplication applied to classification) to assess the interdependency that exist between the sub-systems categories to deliver services at the system level. The sustainability analysis results based on capacity variables influence and dependency models shows that development activities in the settlement are unstable and, therefore, unsustainable since there is no apparent difference between the influential and dependent data used for the assessment. These results illustrate that an integrated system could improve human settlements’ sustainability and that capacity building in service delivery is beneficial and necessary.

Assessing Future Flooding Risk in a Coastal Lagoon Using Hydrogeological Approaches and Analysis of the 2021 Flood Event: A Case Study of Tasi-Tolu Lagoon, Dili, Timor-Leste

This study aims to apply a hydrogeological approaches and analysis of the 2021 flood event of Tasi-Tolu Lagoon to achieve four specific goals. Firstly, the study seeks to determine the natural characteristics of the lagoon, which include factors such as size, depth, water quality, and ecosystem composition. Secondly, the influence of precipitation on the water volume in the lagoon will be examined. This analysis involves assessing historical rainfall patterns in the region, as well as the amount and frequency of precipitation during the 2021 flood event. Thirdly, the hydrogeologic and geologic conditions of the lagoon will be evaluated. This involves examining factors such as the type and structure of the soil and bedrock, the presence of aquifers or other underground water sources, and the movement of water through the surrounding landscape. Finally, the study seeks to assess the risk of future flooding in Tasi-Tolu Lagoon, based on the insights gained from the previous analyses. Overall, this study’s goal is to provide a comprehensive understanding of the hydrogeological factors that contribute to flooding in Tasi-Tolu Lagoon. This knowledge could be used to inform flood mitigation strategies or to improve our ability to predict and respond to future flooding events in the region.

Assessing anthropogenic pressure and threats on Paeonia emodi Wall.ex Royle habitats in Garhwal Himalaya

The Garhwal Himalaya is among the major repositories of immensely valuable wild edible plants and provides food security to the local population.Among the valuable plant species that grow in this region,Paeonia emodi(family Paeoniaceae)is an important wild edible species that found in temperate regions with an altitude range between 1800 and 2800 m.The species is facing a severe threat to its sustainability due to overharvesting,habitat disturbances,and a lack of effort regarding conservation.For the first time,this study investigated anthropogenic pressure,population decline perceptions in the natural habitat,and vulnerability assessment of P.emodi under selected study sites(n=23 villages).A semi structured questionnaire was used to interview approximately 45%of the local inhabitants,including herbal practitioners(Vaidhyas or Dais)of each village.On the basis of demographic characteristics,the perceptions and responses of 464 local people were documented regarding potential causes of deterioration and feasible options for sustainable utilization.Using the weight survey method,we estimated the actual amount of collection based on personal interaction and direct observation.In order to determine the threats status,a rapid vulnerability assessment(RVA)was performed and were used based on the current exploitation and usage.The present study revealed that leaf(100%)was the most frequently harvested part,followed by stem(95.65%),seed(26.09%),root(21.74%)and flower(13.04%).The village Triyuginarayan and Pothivasa recorded the highest collection scores while the purpose of the collection was mostly edible(100%),medicinal(100%),and least commercial(8.70%).According to the literature review and the present survey,the RVA(total=21)is categorized as category II(intermediate side of the RVA index),indicating a degree of vulnerability.The study revealed that P.emodi faces extinction in the Garhwal Himalayas.Growing this species through agro-production techniques may alleviate the pressure on the existing population as a result of the availability of raw materials for commercial and household uses.These findings will provide an effective framework for conservation and management decisions and plans.

Assessing the severity of cotton Verticillium wilt disease from in situ canopy images and spectra using convolutional neural networks

Verticillium wilt(VW)is a common soilborne disease of cotton.It occurs mainly in the seedling and bollopening stages and severely impairs the yield and quality of the fiber.Rapid and accurate identification and evaluation of VW severity(VWS)forms the basis of field cotton VW control,which has great significance to cotton production.Cotton VWS values are conventionally measured using in-field observations and laboratory test diagnoses,which require abundant time and professional expertise.Remote and proximal sensing using imagery and spectrometry have great potential for this purpose.In this study,we performed in situ investigations at three experimental sites in 2019 and 2021 and collected VWS values,in situ images,and spectra of 361 cotton canopies.To estimate cotton VWS values at the canopy scale,we developed two deep learning approaches that use in situ images and spectra,respectively.For the imagery-based method,given the high complexity of the in situ environment,we first transformed the task of healthy and diseased leaf recognition to the task of cotton field scene classification and then built a cotton field scenes(CFS)dataset with over 1000 images for each scene-unit type.We performed pretrained convolutional neural networks(CNNs)training and validation using the CFS dataset and then used the networks after training to classify scene units for each canopy.The results showed that the Dark Net-19 model achieved satisfactory performance in CFS classification and VWS values estimation(R^(2)=0.91,root-mean-square error(RMSE)=6.35%).For the spectroscopy-based method,we first designed a one-dimensional regression network(1D CNN)with four convolutional layers.After dimensionality reduction by sensitive-band selection and principal component analysis,we fitted the 1D CNN with varying numbers of principal components(PCs).The 1D CNN model with the top 20 PCs performed best(R^(2)=0.93,RMSE=5.77%).These deep learning-driven approaches offer the potential of assessing crop disease severity from spatial and spectral perspectives.

Needs and Challenges of Nigeria Petroleum Industry in Assessing Process Safety Cumulative Risk

A cross-sectional exploratory assessment of the needs and challenges of petroleum industry in Nigeria, in assessing process safety cumulative risk for major accidents prevention was investigated. A purposive cum random sampling technique was used in this study, among selected petroleum companies operating in Nigeria. Survey questionnaires were received from 216 participants made up of asset integrity engineers/operators, process safety experts, production safety professionals in the petroleum industry in Nigeria. Data analyses were carried out to cover descriptive and inferential statistics. Overall, the study recognized that assessing process safety cumulative risk is not a simple process due largely to the changing nature of safety critical barriers degradation data. The study result showed four main challenges faced by petroleum industries in Nigeria, in assessing process safety cumulative risk: 1) the study showed that 94% of the respondents agreed that there is limited accessibility to safety critical barriers degradation data (little automation). Also 2) 94% of the respondents accounted for poor knowledge of process safety cumulative risk is and agreed it to be of low rating. The result further showed that 3) 90% of the respondents demonstrated that there are no guidance and procedures in assessing process safety cumulative risk and finally 4) 92% of the respondents reported that there is no real-time risk visualization model/ tool. Addressing these issues and challenges by the petroleum industries in the study area, will lead to successful assessment of process safety cumulative risk, thereby reducing the risk of major accidents.

Designing and Assessing Learning—Take Listening Course of New College English (book 3) as an Example

This paper analyses the design and implementation of Listening Course of New College English(Book 3) within the second year non-English major students in Yunnan Agricultural University, China. This includes the course's planning and delivery with attention upon its learning theories and frameworks. Furthermore, it focuses on how it impacts upon the teaching and learning process. This includes the identification and appropriateness of its learning outcomes, learning activities, its assessment criteria and evaluation. This paper specifically reflects on the course's concept of constructive alignment.

Assessing the Effectiveness of a Cervical Cancer Screening Program in a Hospital-based Study

This study compared HPV testing and liquid-based cytology （LCT） as performance indicators for cervical cancer screening in a hospital-based study. A total of 61,193 outpatients were screened initially by LCT. Samples with screening results showing atypical squamous cells of undetermined significance （ASC-US） or worse were referred for colposcopy, and some samples were tested for high-risk HPV types with the Hybrid Capture II system （HC II）. Data on LCT （n=61,193） and HC II （n=1056） results were analysed. Overall test positivity for LCT was 2.53% using an ASC-US threshold, 3.11% using a low-grade squamous intraepithelial lesion （LSIL） threshold, and 0.67% using a high-grade squamous intraepithelial lesion （HSIL） threshold. A total of 1839 women （84% of the 3893 patients with abnormal cytology） underwent colposcopy-directed biopsy. HPV was positive in 80.3% of women with cervical intraepithelial neoplasia 1 （CIN1）, 88.3% of those with CIN2, 79.2% of women with CIN3 and 50% （2 of 4） of women with invasive cancer. There was a significant increase in the detection of CIN2 or worse with adjunct HPV testing of women with ASC-US and LSIL However, there were detection of CIN2＋ cases no differences in the with adjunct HPV testing of women with HSlI.. The results indicate that HPV testing for HSlL triage should not be recommended in cervical cancer screening.

MRI and diffusion tensor imaging in assessing correlation of activation of cortical motor function and manifestations of corticospinal tract with muscle strength in patients with ischemic stroke

BACKGROUND： Ischemic stroke is often followed by the abnormalities of neurons and corticospinal tract, which can lead to corresponding clinical symptoms and signs. Recently, with the continuous perfection of high-field MRI instrument, it becomes possible to assess and investigate the cortical function and structural reconstruction following stroke by using MRI and diffusion tensor imaging （DTI）. OBJECTIVE： To observe the cortical motor function and changes of corticospinal tracts by using MRI and DTI in the patients with ischemic stroke at acute period, compare with the normal subjects, and assess the damage of corticospinal tract and muscle strength.DESIGN ： A case-control observation.SETTING： Department of Medical Imaging, Fuzhou General Hospital of Nanjing Military Area Command of Chinese PLA. PARTICIPANTS ： Nine inpatients （5 males and 4 females） with injury of motor function induced by acute ischemic stroke were selected from Fuzhou General Hospital of Nanjing Military Area Command of Chinese PLA between August and December in 2005, they aged 16-87 years with an average of 51 years old, and those with obvious conscious disturbances and severe cognitive disorders were excluded. At the same time, nine healthy right-handed physical examinees matched by age and gender with the patients were also selected, and they all had no nervous disease, epilepsy, mental diseases, cerebrovascular abnormalities and injury history, etc. All the subjects were informed with the detected items and agreed to participate in. METHODS： All the 9 patients with ischemic stroke at acute period and 9 healthy subjects were examined with MRI and DTI.① A block-based design was used in the MRI, the passive finger-to-finger exercise was used as the stimulative task, and the static condition was taken as the baseline task. The GE 1.5T MRI system was used, all the data were processed after off-line, and analyzed with the SPM2 software, the association between the activated area and local anatomy of brain was observed. ② The DTI image was processed with the dTV.Ⅱ.R1 software part of the anisotropic image and color anisotropic image were shown, and the three-dimensional white matter image of bilateral corticospinal tracts of the patients were reconstructed. ③ The muscle strength of the affected hand of the stroke patients was judged with the Brunnstorm standard. MAIN OUTCOME MEASURES： The manifestations of MRI, DTI and corticospinal tracts of the 9 stroke patients were mainly observed. RESULTS： All the 9 stroke patients and 9 healthy subjects were involved in the analysis of results. ① Results of MRI examination： The handed exercise of the healthy subjects mainly activated contralateral sensorimotor cortex, posterior parietal cortex and bilateral supplementary motor areas. For the exercise of ipsilateral hand of 7 stroke patients, contralateral sensorimotor cortex was weakly activated, but ipsilateral posterial parietal cortex was obviously activated, and the activation of cerebrum was observed in 3 of them. For the other two patients, bilateral sensorimotor cortexes were activated during the exercise of ipsilateral hand, and the ipsilateral activated area was greater than the controlateral one. The exercise of contralateral hand activated contralateral sensorimotor cortex, posterior parietal cortex and contralateral supplementary motor area, and no obvious ipsilateral activated area was observed.② Results of DTI examination： The anisotropic values of the infarcted area were obviously lower than those of the contralateral part （t=4.570, P 〈 0.01）. the anisotropic value of the infarcted area were obviously was obviously correlated with bilateral muscle strength （t=0.888, P 〈 0.05）. ③ Results of the examination for corticospinal tracts： The reconstruction of bilateral corticospinal tracts, contralateral anatomic form were generally identical with those of normal subjects, the consistency of each continuous form from anterior central gyrus downward to internal capsule to bridge of varolius and bulbus medullae. Because of the involvement of infarcted area to different extent, ipsilateral corticospinal tract was manifested by the interruption of succession and loss of consistency of anatomic structural form. The severity for the injury of corticospinal tract was markedly correlated with the muscle strength of the ipsilateral hand （r=0.888, P 〈 0.05）. CONCLUSION ： ① The MRI manifestations of stroke patients during the exercise of affected hand are different from those of normal subjects, suggesting that there is compensation and reconstruction of brain function.② DTI examination is good for the judgement of the correlation between the damaged severity of infarction and muscle strength.③The damaged severity of corticospinal tracts is correlated with muscle strength, and it can be used to judge the prognosis of rehabilitative treatment.

Monitoring and Assessing Method for Blasting Vibration on Open-pit Slope in Hainan Iron Mine

A type of velocity sensor CD 1, an auto recording instrument on blasting vibration YBJ 1 and a random signal and vibration analysis system (CRAS) were used to monitor the particle vibration induced by blasting at open pit slope in Hainan Iron Mine. The attenuating rules of blasting ground vibration on slope were developed. By means of the analysis and calculation of the blasting vibration data at open pit slope and the vertical particle vibration velocity assessment method based on the concept of vibration strength, the empirical attenuating equations which can be used for predicting and estimating the damage of slope were derived.

Study on wave energy resource assessing method based on altimeter data——A case study in Northwest Pacific

Wave energy resource is a very important ocean renewable energy. A reliable assessment of wave energy resources must be performed before they can be exploited. Compared with wave model, altimeter can provide more accurate in situ observations for ocean wave which can be as a novel method for wave energy assessment.The advantage of altimeter data is to provide accurate significant wave height observations for wave. In order to develop characteristic and advantage of altimeter data and apply altimeter data to wave energy assessment, in this study, we established an assessing method for wave energy in local sea area which is dedicated to altimeter data.This method includes three parts including data selection and processing, establishment of evaluation indexes system and criterion of regional division. Then a case study of Northwest Pacific was performed to discuss specific application for this method. The results show that assessing method in this paper can assess reserves and temporal and spatial distribution effectively and provide scientific references for the siting of wave power plants and the design of wave energy convertors.

Assessing the externalities of a ski resort in Tzoumerka:willingness to pay in order to promote or to prevent its construction

The present study aims to assess the externalities of a ski resort,that is planned to be built at Tzoumerka mountains,in Greece.The research relies on the Contingent Valuation method,which indirectly estimates the economic value of environmental and other nonmarket assets,based on the expressed preferences of members of a social group.The investigation was based on primary data.The core idea of questionnaire’s design,is subject to the use of a double WTP(willingness to pay)question,aiming at the monetary assessment of the attitude of the residents,regarding the upcoming infrastructure project,taking into account both its positive and its negative externalities.Depending on the attitude of the survey respondents,they were asked to decide if they wish to offer an amount of money either to promote or to prevent the construction of the ski resort.Parametric and non-parametric models were then applied in order to calculate in economic terms the expressed opinion of the respondents.The primary question to be answered is whether the willingness to build the ski resort holds a higher economic value than the desire to prevent it.According to the results of the survey,the vast majority of residents(92.4%)supported the idea of building the ski resort,projecting their apparent desire for the tourist and economic development of the area.The reinforcement of the construction idea of the project was estimated on average at €378,200.The very low proportion of the participants who disagreed with the project(5%),did not allow the economic assessment of its prevention,leaving room for further research into the application of Contingent Valuation method and its contribution in cost-benefit analysis and decision making,regarding upcoming projects.

Are we really“screening”movement?The role of assessing movement quality in exercise settings

1.Introduction The assessment of movement quality became widespread in exercise settings following the introduction of Gray Cook’s Functional Movement Screen(FMS).1 Assessing muscle and joint function during real-world movement tasks,it changed the way many coaches assessed their clients.

Assessing the Effect of Natural Controls and Land Use Change on Sediment Yield in a Major Andean River:The Magdalena Drainage Basin,Colombia

马格达莱纳河是哥伦比亚安第斯山区的一个世界级的河流网络，该河流年产沙量约为150Mt，是全世界10大主要产沙河流之一。在本研究中，我们探讨主要自然因子和人类活动对马格达莱纳河流域产沙模式的影响，重建该区森林砍伐和农业活动时空模式，探讨土地利用变化与产沙趋势的关系。我们的研究结果表明，整个马格达莱纳河流域的产沙量可以用自然变量（包括径流量和最大河水流量）来解释。这两个因子解释了产沙量58％的变化。含沙率和土地利用的时间分析表明，在过去10～20年里流域侵蚀呈现增加的趋势。许多人类活动的影响，包括森林覆被在20年里减小了近40％．农业和牧场增加了65％、土壤保持差、开矿活动，以及城市化的加速，都促进了该地区域尺度上产沙量的增加。

Assessing Adverse Effects of Aroclor 1254 on Perinatally Exposed Rat Offspring

To assess the neurotoxic effects and redoxresponses of Aroclor 1254 （A1254） on perinatallyexposed rat offspring, A1254 was administered bygavage from gestational day （GD） 6 to postnatal day（PND） 21. Neurobehavioral development,antioxidant enzyme activities, lipid peroxidation（LPO）, nitric oxide （NO）, and NO synthase （NOS）levels were analyzed in the offspring.Neurobehavioral development analysis revealeddelayed appearance of the righting reflex, negativegeotaxis, and cliff drop test responses in A1254exposed group. Developmental A1254 exposurealso caused oxidative stress in the brain of PND 22offspring via reductions in the activity of SOD andGSH-Px, and by promoting a rise in the levels of NOand NOS.

Adaptable retinal ganglion cell function: assessing autoregulation of inner retina pathways

Retinal ganglion cell(RGC)function in health and disease:RGCs are extremely high-maintenance neurons connecting the eye to the brain trough the optic nerve.In order to produce and propagate action potentials along the unmyelinated RGC axons and support axonal transport of materials back and forth from the eye to the brain,RGC require large amounts of energy.Therefore,RGCs are under considerable metabolic stress when healthy and become particularly vulnerable in disease,resulting in blindness(Morgan,2004).

Stable Silver Nanoparticles Synthesis by Citrus Sinensis(Orange) and Assessing Activity Against Food Poisoning Microbes

Silver nanoparticles are considerecl as good antimicrobial agent. AgNPs were synthesized by mixing silver nitrate solution with citrus sinesb extract for 2 h at 37 and analyzed by UV-visible spectra, SEM, XRD, and FTIR. AgNPs were tested against B. subtilis, Shigello, S. oureus, ond E. coli. Minimum inhibitory concentration of AgNPs was 20 I^g/mL for B. subtilis and Shigello and 30 I^g/mL for S. oureus and E. coll. Antibiofilm activity （80% to 90%） was observed at 25 IJg/mL. AgNPs were stable for five months with sustained an＇timicrobial activity. Biosynthesized AgNPs can bE： used to inhibit food poisoning microbial growth.

Assessing Demographic Factors Related to Maternal Mortality in Tehran Province, Iran from 2008 to 2011

The rate of maternal mortality due to complications of pregnancy and delivery is one of the most significant indicators showing the development state of countries. The purpose of the present study is to assess important indicators of maternal health and predisposing factors of maternal mortality in Tehran province from 2008 to 2011. The present study is a case-control one. All mothers who had lost their life (n = 113) were selected through census and survived mothers (n = 327) through randomized stratified sampling. Statistical analysis was performed using SPSS V.22, X2 test, Fishers exact test and Logistic regression. The rate of maternal mortality was the highest (29.2%) in 2009 and the lowest (20.4%) in 2011. Variables type of maternity hospital (P-value = 0.036), maternal education (P-value < 0.001), husband’s education (P-value < 0.001) had a significant relation to maternal mortality. Logistic regression analysis showed that there is a relationship between the education level of the husband and maternal mortality. Considering the factors affecting maternal mortality, promoting hospital services, improving skills and knowledge of doctors, midwives and nurses and strengthening educational programs for the illiterate are the most effective measures to reduce maternal mortality.

Assessing Change of Lamto Reserve Area Based on the MODIS Time Series Data and Bioclimatic Factors Using BFAST Algorithms

Lamto Reserve area is a savannah landscape threatened by periodic drought, and anthropogenic activities leading to natural ecological imbalance. The ecological support services of the landscape had been significantly impacted by the grassland ecosystem. The Breaks for Additive Season and Trend Algorithms have been implemented in R to analyze the land cover/land use dynamic in relation to the climatic driver of Lamto forest from 2000 to 2020. We examine the vegetation state breaks using vegetation phenological patterns, and several time series including the Normalized Difference Vegetation Index and the Enhanced Vegetation Index, were studied utilizing Breaks for Additive Season and Trend. The findings indicate that the phenological changes in the vegetation in 2020 resulted from an increased temperature from (27.7°C) to (32.17°C), and a decrease in precipitation (71.75 millimeters). The analysis of variance ANOVA of the non-parametric Mann-Kendall test reveals a strong correlation between Precipitation/Evapotranspiration Grass (p mperature/Evapotranspiration Grass (p < 0.311), and Temperature/Normalized Difference Vegetation Index (p in vegetation detected by the Breaks for Additive Season and Trend Algorithms were caused by temperature extremes and reduced rainfall.