Trends Analysis of Long-Term Meteorological Data
نویسندگان
چکیده
Considering the potential impacts of climate change on meteorological data is likely to be more reliable in design hydrological systems. One recognized methods for assessment influence changes by analyzing weather data. The study aims were inspecting maximum, minimum temperature and rainfall any discernible trends city Delhi between 1901 – 2010 periods. Mann-Kendall non-parametric test including correlation was adopted analyze available three periods: 1901-2010; 1901-1955 1956-2010. Annual, monsoonal pre-monsoon rainfalls have been examined analysis. Results show that maximum annual temperatures exhibit an increasing decreasing trend, respectively. On other hand, shows trends. A strong negative noted 1956-2010 periods as well entire period also temperature. In addition previous findings, a noticeable shown records. However, weak reported
منابع مشابه
Improving the Banks Shareholder Long Term Values by Using Data Envelopment Analysis Model
Given the rapid development of the banking sector, it is reasonable to expect that the performance of banks has become the centre of attention among bank managers, stakeholders, policy makers, and regulators. In order to maximizing the share-holders’ satisfactory level, two bank efficiency measurement approaches, i.e. the production approach and the user cost approach, which are financial evalu...
متن کاملthe effects of keyword and context methods on pronunciation and receptive/ productive vocabulary of low-intermediate iranian efl learners: short-term and long-term memory in focus
از گذشته تا کنون، تحقیقات بسیاری صورت گرفته است که همگی به گونه ای بر مثمر ثمر بودن استفاده از استراتژی های یادگیری لغت در یک زبان بیگانه اذعان داشته اند. این تحقیق به بررسی تاثیر دو روش مختلف آموزش واژگان انگلیسی (کلیدی و بافتی) بر تلفظ و دانش لغوی فراگیران ایرانی زیر متوسط زبان انگلیسی و بر ماندگاری آن در حافظه می پردازد. به این منظور، تعداد شصت نفر از زبان آموزان ایرانی هشت تا چهارده ساله با...
15 صفحه اولExamining Long-Term Trends in Company Fundamentals Data
The equities market is generally considered to be efficient, but there are a few indicators that are known to have some predictive power over future price changes. This suggests that the market has some room for identifying inefficiencies. Much work is done on applying machine learning to short-term trading, but there exists little research on using machine learning to identify long-term ineffi...
متن کاملScreening for long-term trends in groundwater nitrate monitoring data
A large body of UK groundwater nitrate data has been analysed by linear regression in order to define past trends and estimate future concentrations. Robust regression was used. The datasets showed too many irregularities to justify more traditional time series approaches such as ARIMA-type methods. Tests were included for lack of linearity, outliers, seasonality and a break in the trend (by pi...
متن کاملMeteorological Data Analysis Using MapReduce
In the atmospheric science, the scale of meteorological data is massive and growing rapidly. K-means is a fast and available cluster algorithm which has been used in many fields. However, for the large-scale meteorological data, the traditional K-means algorithm is not capable enough to satisfy the actual application needs efficiently. This paper proposes an improved MK-means algorithm (MK-mean...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: AL Rafdain Engineering Journal
سال: 2023
ISSN: ['1813-0526', '2220-1270']
DOI: https://doi.org/10.33899/rengj.2023.137337.1217