Robust prediction of hourly PM2.5 from meteorological data using LightGBM

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimating hourly incoming solar radiation from limited meteorological data

Frank Forcella USDA-ARS North Central Soil Conservation Research Laboratory, 803 Iowa Avenue, Morris, MN 56267 Two major properties that determine weed seed germination are soil temperature and moisture content. Incident radiation is the primary variable controlling energy input to the soil system and thereby influences both moisture and temperature profiles. However, many agricultural field si...

متن کامل

Hourly Global Radiation Prediction from Geostationary Satellite Data

The possibility to generate 2-D predictions of solar radiation one hour ahead and over a large geographic area is the focus of this study. In that view, hourly satellite maps of irradiations extracted from the Heliosat-3 have been used as training data and inputs of artificial neural networks (ANN) and as inputs for apersistence model. These models were computed for each point of the map, allow...

متن کامل

Meteorological Phenomena Forecast Using Data Mining Prediction Methods

The occurrence of various meteorological phenomena, such as fog or low cloud cover, has significant impact on many human activities as air or ship transport operations. The management of air traffic at the airports was the main reason to design effective mechanisms for timely prediction of these phenomena. In both these cases meteorologists already use some physical models based on differential...

متن کامل

prediction of winter wheat phenology using meteorological data in three different climatic regions of iran

wheat (triticum aestivum) is one of the major crops in the world and iran. any plan for improvement of wheat yield requires sufficient information on different stages of crop life cycle and the effects of meteorological parameters. the purpose of this study was developing suitable regression models for prediction the length of pheonological stage of winter wheat in three different regions of ir...

متن کامل

Meteorological 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 کامل

ذخیره 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: National Science Review

سال: 2021

ISSN: 2095-5138,2053-714X

DOI: 10.1093/nsr/nwaa307