Air and Water Components of the Environment Conference最新文献_第2页

Statistical Approach on Floods Features Based on Long Term Data Series Analysis 基于长期数据序列分析的洪水特征统计方法

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_01

Eduard C. Hanganu, O. Orza, Sabina Bosoc, C. Balaceanu

{"title":"Statistical Approach on Floods Features Based on Long Term Data Series Analysis","authors":"Eduard C. Hanganu, O. Orza, Sabina Bosoc, C. Balaceanu","doi":"10.24193/awc2022_01","DOIUrl":"https://doi.org/10.24193/awc2022_01","url":null,"abstract":"Nowadays, IoT platforms have key-roles in almost all domains such as smart agriculture, health, cyber security, etc. The focus of this article is on water quality monitoring which can be improved by the use of wireless sensing networks and the implementation of the IoT technology. The aim of the article is to develop an efficient solution for farmers who irrigate crops with large amounts of water. The solution provided is based on multiple sensors (water quality, air quality, consumption, and climate) so that several parameters of the environment can be monitored simultaneously. The monitored parameters are conductivity, turbidity, salinity, precipitation levels, pH, dissolved oxygen and water temperature. The collected data will be filtered and translated into legible and meaningful data using intelligent algorithms for farmers. This paper is based on the experiments developed in the SWAM project, and the location where they were performed was chosen in Moara Domneasca. The location of the Moara Domnească Experimental Base, where the case study is implemented, is located 25 km from Bucharest, in the Commune of Afumați, Ilfov County in the Subunit of the Romanian Plain. Thus, the quality of the water used for irrigation purposes can be determined following the analysis and periodic monitoring of the parameters","PeriodicalId":306682,"journal":{"name":"Air and Water Components of the Environment Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129182277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

"Studing LST and NDVI Values for Suhi Non-Suhi Occupied by Constructions and Buildings: a Case Study of Iasi. " “苏西非苏西建筑用地的LST和NDVI值研究——以雅西为例”

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_11

Paul-Marian Gherasim, M. Dima, Ioana Agapie (Mereuta)

{"title":"\"Studing LST and NDVI Values for Suhi Non-Suhi Occupied by Constructions and Buildings: a Case Study of Iasi. \"","authors":"Paul-Marian Gherasim, M. Dima, Ioana Agapie (Mereuta)","doi":"10.24193/awc2022_11","DOIUrl":"https://doi.org/10.24193/awc2022_11","url":null,"abstract":"In this paper we tried to study the values of radiant temperatures (Land Surface Temperature) and NDVI (Normalized Difference Vegetation Index) for areas occupied by buildings and green spaces. The area affected by the Urban Heat Island (UHI) was also determined. Study Area, Iasi, the largest city in eastern Romania, is geographically situated on latitude 47°12'N to 47°06'N and longitude 27°32'E to 27°40'E. LST is an estimate of ground temperature and is important to identify change in environment. An important parameter in global climate change is rapid urbanization which leads to an increase in Land Surface Temperature (LST). The urban heat island (UHI) represents the phenomenon of higher atmospheric and surface temperatures occurring in urban area or metropolitan area than in the surrounding rural zones due to urbanization. It also been found that night UHI is more powerful than day. At night the LST values for SUHI varies between 24.5°C-25.9°C, and during the day between 35°C-38.7°C. With the development of remote sensing technology, it has become an important approach to urban heat island research. MODIS and Landsat data were used to estimate the LST and NDVI. From the analysis of the images it can be seen that the temperatures in SUHI are lower where there are green spaces around the buildings, and temperatures are higher in the non-UHI area, where inside or around the green spaces there are surfaces built or covered with concrete. Statistical data show very average temperatures for areas affected by UHI, 37.8°C for daytime and 24.6°C for night.","PeriodicalId":306682,"journal":{"name":"Air and Water Components of the Environment Conference","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117184597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

"Experimental Method to Assess the Looseness or Compactness in Climate Changing for Several Major Cities of Hungary." “评估匈牙利几个主要城市气候变化的松散或紧密性的实验方法”。

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_12

Zsolt Magyari-Saska, Ș. Dombay

{"title":"\"Experimental Method to Assess the Looseness or Compactness in Climate Changing for Several Major Cities of Hungary.\"","authors":"Zsolt Magyari-Saska, Ș. Dombay","doi":"10.24193/awc2022_12","DOIUrl":"https://doi.org/10.24193/awc2022_12","url":null,"abstract":"In this paper we tried to study the values of radiant temperatures (Land Surface Temperature) and NDVI (Normalized Difference Vegetation Index) for areas occupied by buildings and green spaces. The area affected by the Urban Heat Island (UHI) was also determined. Study Area, Iasi, the largest city in eastern Romania, is geographically situated on latitude 47°12'N to 47°06'N and longitude 27°32'E to 27°40'E. LST is an estimate of ground temperature and is important to identify change in environment. An important parameter in global climate change is rapid urbanization which leads to an increase in Land Surface Temperature (LST). The urban heat island (UHI) represents the phenomenon of higher atmospheric and surface temperatures occurring in urban area or metropolitan area than in the surrounding rural zones due to urbanization. It also been found that night UHI is more powerful than day. At night the LST values for SUHI varies between 24.5°C-25.9°C, and during the day between 35°C-38.7°C. With the development of remote sensing technology, it has become an important approach to urban heat island research. MODIS and Landsat data were used to estimate the LST and NDVI. From the analysis of the images it can be seen that the temperatures in SUHI are lower where there are green spaces around the buildings, and temperatures are higher in the non-UHI area, where inside or around the green spaces there are surfaces built or covered with concrete. Statistical data show very average temperatures for areas affected by UHI, 37.8°C for daytime and 24.6°C for night.","PeriodicalId":306682,"journal":{"name":"Air and Water Components of the Environment Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129905448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

"River Sediment Amounts Prediction with Regression and Support Vector Machine Methods." “基于回归和支持向量机方法的河流泥沙量预测”。

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_10

F. Üneş, B. Taşar, Hakan Varçin, E. Gemici

引用次数: 0

Detection of Vineyard Diseases Using the Internet of Things Technology and Machine Learning Algorithms. 利用物联网技术和机器学习算法检测葡萄园病害。

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_13

Roxana Roscaneanu, Robert Streche, Filip Osiac, C. Balaceanu

{"title":"Detection of Vineyard Diseases Using the Internet of Things Technology and Machine Learning Algorithms.","authors":"Roxana Roscaneanu, Robert Streche, Filip Osiac, C. Balaceanu","doi":"10.24193/awc2022_13","DOIUrl":"https://doi.org/10.24193/awc2022_13","url":null,"abstract":"In recent years, the Internet of Things concept has rapidly spread in most fields because of the benefits it offers, motivating viticulturists to implement new technologies that increase crop production and quality, as well as streamline production costs. The study’s purpose is to monitor, using Internet of Things technology, two methods of identifying vine-specific diseases, which can be determined by environmental conditions (temperature, humidity, rainfall) or by analyzing diseased leaves from the vine. The first method is associated with a field study that involves placing Internet of Things sensors inside crops to measure environmental and plant parameters, which are then sent and stored in the Cloud. Based on these parameters, a correlation is made with the values that determine the occurrence of a specific vine disease (powdery mildew, downy mildew, and grey rot). The second method involves the use of Unmanned Aerial Vehicle imaging to take images containing healthy and diseased leaves from different parts of the vine. To analyze these images, a web page has been developed integrating a machine learning algorithm that detects the leaf state from the drone image footage. After the analysis all the values are stored in a database and the results are displayed as graphs and charts that are visualized by the viticulturist so that he can take the necessary actions. This study is an important step in the implementation of Internet of Things technology in viticulture, helping to monitor the main environmental and plant parameters, as well as detecting the occurrence of diseases among the vine cultures.","PeriodicalId":306682,"journal":{"name":"Air and Water Components of the Environment Conference","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115362069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Land Use Mapping Using Machine Learning, Apurímac-Peru Region. 使用机器学习绘制土地利用地图，Apurímac-Peru区域。

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_17

Walquer Huacani, Nelson P. Meza, Darío D. Sanchez, F. Huanca

引用次数: 0

"Flood Modeling Based on The Precipitation Data by Using Hec-Ras Software Version (5.0.7)." 基于降水数据的Hec-Ras软件(5.0.7)洪水模拟

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_05

Yunus Ziya Kaya, F. Üneş, M. Demirci

引用次数: 0

"Advanced Hydroinformatic Tools for Modelling of Associated Processes with Water Quality. " “用于与水质相关过程建模的先进水文信息学工具”。

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_16

E. Beilicci, R. Beilicci

{"title":"\"Advanced Hydroinformatic Tools for Modelling of Associated Processes with Water Quality. \"","authors":"E. Beilicci, R. Beilicci","doi":"10.24193/awc2022_16","DOIUrl":"https://doi.org/10.24193/awc2022_16","url":null,"abstract":"Water quality expresses the suitability of water to sustain various uses or processes: water for drink, food production, irrigation, animal husbandry, fishermen, recreation etc. Each use will have certain requirements for the physical, chemical or biological characteristics of water. The quality and composition of surface and underground waters is determined by natural factors (geological, topographical, meteorological, hydrological and biological characteristics of catchment) and by human activity (industrial wastes, sewage, runoff from farmland, cities, factory effluents, different hydrotechnical arrangements etc.). The evolution of water quality is also determined by the processes that take place in water bodies: chemical (neutralization, oxidation, reduction, flocculation, precipitation, adsorption, absorption, photochemical decomposition), physical (dilution, mixing, diffusion, sedimentation, coagulation, dissolution of oxygen, release of gases into the air, also influenced by solar radiation IR and UV, water temperature), biological (by its own biocenosis that competes with foreign elements, either directly, by lytic action (bacteriophages), filtration (shells), consumption (by protozoa) or the secretion of toxic substances for intruders (actinomycetes) and biochemicals (within the cycles of nitrogen, sulfur and carbon, based on the activity of specific microorganisms)). In this context, modeling the evolution of water quality is of particular importance for efficient water management. For the best possible forecast of water quality, the use of advanced hydroinformatic tools, such as the MIKEby DHI (Danish Hydraulic Institute) software package, is needed. The paper presents the possibility of using these tools and conducts a case study on a sector of the Bega River, downstream of Timisoara.","PeriodicalId":306682,"journal":{"name":"Air and Water Components of the Environment Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127477065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

" When Geopolitical and Limnology Collide: New Representation of Lake Borders" 当地缘政治和湖沼学碰撞:湖泊边界的新表现

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_08

Julien Gautier

引用次数: 0

Multi-Criterial Analysis of Environmental Accidental Pollution Events in Romania Between 2019-2021. 2019-2021年罗马尼亚环境意外污染事件多准则分析

Air and Water Components of the Environment Conference Pub Date : 2022-03-18 DOI: 10.24193/awc2022_15

R. Bătinaş, Melania Corleciuc, Irina-Liliana Ioniță, Bogdan George Piticari

引用次数: 0