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Irriga ◽  
2022 ◽  
Vol 1 (4) ◽  
pp. 678-686
Author(s):  
Daniela Araújo de Oliveira ◽  
Fernando Braz Tangerino Hernandez ◽  
Regiane Carvalho Bispo ◽  
Ricardo Nogueira Gomes ◽  
Antonio Heriberto de Castro Teixeira

ESTIMATIVA DA DEMANDA DE ÁGUA DA CULTURA DA CANA-DE-AÇÚCAR IRRIGADA UTILIZANDO SENSORIAMENTO REMOTO     DANIELA ARAÚJO DE OLIVEIRA1; FERNANDO BRAZ TANGERINO HERNANDEZ2; REGIANE DE CARVALHO BISPO3; RICARDO NOGUEIRA GOMES4 E ANTONIO HERIBERTO DE CASTRO TEIXEIRA5   1 Doutoranda do Programa de Pós-Graduação em Irrigação e Drenagem, UNESP, Rua José Barbosa de Barros, 1780, 18610-034, Botucatu, São Paulo, Brasil. E-mail: [email protected]. 2Professor Titular, Departamento de Fitossanidade, Engenharia Rural e Solos - DEFERS, UNESP, Avenida Brasil Sul, n° 56, Centro, 15385-000, Ilha Solteira, São Paulo, Brasil. E-mail: [email protected]. 3Professora Doutora, Colegiado de Engenharia Agronômica, UNIVASF, Rodovia BR 407, 12 Lote 543, 56300-000, Petrolina, Pernambuco, Brasil. E-mail: [email protected]. 4 Engenheiro Agrônomo, Usina Ipê - Pedra Agroindustrial, Rod. General Euclides de Oliveira Figueredo, Km 167 + 871,35 m, 16940-000, Nova Independência, São Paulo, Brasil. E-mail: [email protected]. 5 Professor Externo, Departamento de Recursos Hídricos (PRORH), UFS, Av. Marechal Rondon, s/n, Jd. Rosa Elze, 49100-000, São Cristóvão, Sergipe, Brasil. E-mail: [email protected].     1 RESUMO   O presente trabalho teve como objetivo estimar as demandas hídricas da cultura da cana-de-açúcar irrigada pelo sistema pivô central, por meio da aplicação do algoritmo SAFER (Simple Algorithm for Evapotranspiration Retrieving). O estudo foi realizado em área comercial, no município de Nova Independência - SP, compreendendo a safra de 2020/21. Foram utilizadas imagens dos satélites Landsat 8 e Sentinel 2 e dados agrometeorológicos na estimativa da relação ETa/ETo e evapotranspiração atual (ETa). Os maiores valores de ETa observados foram entre 3,4 e 4,4 mm dia-1, enquanto os maiores valores da relação ETa/ETo foram de 0,7 e 0,8 e, apesar de comportamento similar a trabalhos semelhantes, são menores que os indicados em literatura.   Palavras-chave: SAFER, evapotranspiração, pivô central.     OLIVEIRA, D. A.; HERNANDEZ, F. B. T.; BISPO, R. C.; GOMES, R. N.; TEIXEIRA, A. H. C. ESTIMATION OF THE WATER DEMAND OF THE IRRIGATED SUGARCANE USING REMOTE SENSING     2 ABSTRACT   This work aimed to estimate the water demands of the sugarcane crop irrigated by the central pivot system, through the application of the SAFER (Simple Algorithm for Evapotranspiration Retrieving) algorithm. The study was conducted in a commercial area, in the city of Nova Independência, SP, comprising the 2020/21 harvest. Images from the Landsat 8 and Sentinel 2 satellites and agrometeorological data were used to estimate the ETa/ETo ratio and actual evapotranspiration (ETa). The highest values of ETa observed were between 3.4 and 4.4 mm day-1, while the highest values of the ETa/ETo ratio were 0.7 and 0.8, and despite similar behavior to similar works, they are smaller than those indicated in the literature.   Keywords: SAFER, evapotranspiration, central pivot.


2021 ◽  
Author(s):  
Dhanshri Narayane ◽  
Amarjeet S Pandey ◽  
D B Pardeshi ◽  
Renuka Rasal

In Smart Grid Demand side management (DSM) plays a crucial role which permits customers to form educated selections concerning their energy consumption. It allows the strength to companies lessen the height load call for and reshape the burden profile. Most of the present demand aspect management ways utilized in ancient energy management system is with specific techniques and algorithms. In addition, the present ways handle solely a restricted range of governable a lot of restricted varieties of loads. This paper covers a requirement aspect management strategy supported load shifting technique for demand aspect management of future sensible grids with an outsized range of devices of many sorts. The day-in advance load shifting technique is proposed and mathematically formulated as a minimization problem. Teaching Learning Based Optimization (TLBO) is an efficient optimization is proposed. Considering Smart Grid with commercial customer, Simulations has been carried out. The respective results emphasis that the considered demand side management strategy attains substantial savings, whereas suppresses the mark of load demand of the smart grid. The outcome is by improve in sustainability of the smart grid, in addition to reduced standard operational value and carbon emission levels. The proposed algorithms can be easily applied to various optimization problems.


2021 ◽  
Vol 940 (1) ◽  
pp. 012052
Author(s):  
S R A N Sujai ◽  
I Juwana

Abstract Hotel XYZ is a commercial area in the city of Bandung which still applies the traditional linear economic cycle. The 61.61% of ±9000 m2 building area is used for room service facilities. The hotel has not paid attention to its waste management so all the waste generated from this hotel end up at the landfill area. This study aims at improving the waste management in Hotel XYZ to meet the principle of circular economy. Using SNI 19-3964-1994 approach to measure the generation of waste composition, the amount of waste generated from room service facilities is 0.03 kg/m2/day or 0.41 liter/m2/day. The zero waste index (ZWI) calculation was used for the evaluation of waste management in the hotel. The waste generated at Hotel XYZ has the potential to achieve substitute material savings by 63.16 kg, substitution of energy by 775.79 MegaJoule (MJ), greenhouse gas (GHG) reduction by 49.36 kg/CO2e, -164.06 L/kg of water saving. The most waste generated by hotel room service facilities is recyclable waste consisting of single-use packaging from hotel equipments. Waste reduction plan for the room service facilities is carried out by replacing single-use packaging with refillable packaging so the hotel is able to save their shopping expenditure costs up to Rp. 844,691.00 per day.


2021 ◽  
Vol 899 (1) ◽  
pp. 012017
Author(s):  
Th Rapti ◽  
A Kantzioura

Abstract Urban heat island (UHI) is a phenomenon that affects the urban microclimate. Land use, urban geometry, cover materials, vegetation, the water element and human activities are the most important factors that affect the UHI. This research focused on the study and analysis of the urban microclimate of three sections of a commercial street area that differ in their morphology. The first area includes a stream near the road, the second area includes the purely commercial part of the street and the third area includes the fringes of a hill in (Thessaloniki, “Toumpa”, Gr Lampraki Street). Using the Envimet V4 program, three simulations were performed for the selected study areas for the hottest day of the previous year, August 1, 2020. The values with the largest variations in all three areas were those of relative and specific humidity and finally air speed. The air temperature was higher in relation to the suburban area (UHI) and did not show significant differences in the three study areas. This leads us to the conclusion that the urban morphology, orientation and geographical location of the three study areas played the most important role in shaping the urban microclimate. Finally, is suggested one alternative scenario for optimizing the microclimate in the most burdened area of the three.


2021 ◽  
Vol 916 (1) ◽  
pp. 012005
Author(s):  
C Meidiana ◽  
D H Leliana ◽  
D Agustina

Abstract Various urban activities which exist in different lands uses in Mojokerto City such as settlement, commercial area, public service, and industrial area form the urban dynamic. Urban dynamic is stimulated by some factors including mobility of people and goods, information, and money. People’s mobility which dominates the urban mobility is accommodated by transportation mode causing transportation sector ranks the top first sector contributing to carbon dioxide (CO2) emissions in urban area, including Mojokerto City. Therefore, the study aims to propose reasonable solution for CO2 emissions reduction from transportation sector. The total amount of CO2 emissions is calculated first, and vegetation capacity to absorb CO2 is calculated afterwards using the formula for emission generation and bio capacity respectively. Development of urban greening is proposed to improve the bio-capacity of urban greening to absorb the remaining emissions. Based on the emission calculation, the total amount of CO2 emissions from transportation sector ranges between 6.6 to to 262.1 ton/year depending on the traffic volume and the distance covered by motorized vehicles. Meanwhile, calculation of bio capacity shows that the average absorption of vegetation in Mojokerto City is only 863.91 ton/yr. Improving urban greening area by planting more trees with higher absorption capacity is proposed to absorb the remaining emission. Calculation shows that enhanced urban greening can increase the emission absorption from 4% to 7% of the total emission from transportation sector.


Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1732
Author(s):  
Md Humayun Kabir ◽  
Md Harun Rashid ◽  
Qingyue Wang ◽  
Weiqian Wang ◽  
Senlin Lu ◽  
...  

Urban roadside dust samples from Dhaka City in Bangladesh were collected from a planned residential area (PRA), spontaneous residential area (SRA), commercial area (CA), and urban green area (UGA) in winter and summer to study how season and different urban land-use categories influence the concentrations of heavy metals (Cr, Mn, Co, Ni, Cu, Zn, As, and Pb) and different pollution indices. The dust samples were fractionated into <32 μm particles, extracted by acid digestion followed by estimation of heavy metals, using ICP-MS. Pollution indices were calculated from the metal concentrations, using standard protocols. The concentrations of heavy metals in roadside dust varied significantly (all p < 0.05), due to sampling seasons and the land-use category. Higher concentrations of heavy metals (Cr, Mn, Ni, Cu, Zn, and Pb) were found in the dust sampled during the winter season than in the summer season, except for As and Co. The geo-accumulation index (Igeo) indicated that the commercial area was heavily contaminated with Cu and Zn during the winter season. The contamination factor (CF) was higher for Cu and Zn in the CA, PRA, and SRA of Dhaka City in winter than in the summer season. The enrichment factor (EF) suggested that Mn and Co were the least enriched metals, and significant enrichment was seen for Cu and Zn for all land-use categories, both in summer and winter. A moderate potential ecological risk for Cu was estimated in CA and PRA in the winter season.


Author(s):  
Youpeng Lu ◽  
Wenze Yue ◽  
Yaping Huang

In this study, we aim to understand the impact of land use on the urban heat island (UHI) effect across an urban area. Considering the case study of Wuhan, China, land use factors and land surface temperatures (LSTs) of 589 planning management units were quantified in order to identify the spatial autocorrelation of LST, which indicated that a traditional regression would be invalid. By investigating the relationships between land use factors and the LST in summer, based on spatial regression models including the spatial lag model and the spatial error model, four conclusions were derived. First, the spatial error model effectively explains the relationships between LST and land use factors. Second, the impact on LST of the percentage of industrial areas is significant even though the impacts of land cover and building-group morphology indicators are combined, indicating that anthropogenic heat emission of industrial production contributes to high LSTs. Third, the relationship between the percentage of commercial area and LST is significant in the Pearson correlation analysis and traditional regression models, while not significant in spatial error model, suggesting that the urban heat environment of a commercial area is determined by the land use factors of the surrounding area. Fourth, the UHI effect in industrial and commercial areas could be precisely mitigated by not locating industrial areas beside residential areas, and setting up buffer zones between commercial areas and surrounding traditional residential areas. Overall, the results of this study innovatively deepen the understanding of the impact of the percentage of different urban land use types on the urban heat environment at the scale of planning management units, which is conducive to formulating precise regulation measures for mitigating UHI effects and improving public health.


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