Temperatura de superficie en el Valle del Río Neuquén Utilizando Imágenes LANDSAT by Marisa Gloria Cogliati

“…Abstract Studies of surface and air temperature from LANDSAT need a great density of meteorological stations following the altitudinal variation and complexity of terrain. …”
Get full text

Soil moisture controls over carbon sequestration and greenhouse gas emissions: a review by Yuefeng Hao, Jiafu Mao, Charles M. Bachmann, Forrest M. Hoffman, Gerbrand Koren, Haishan Chen, Hanqin Tian, Jiangong Liu, Jing Tao, Jinyun Tang, Lingcheng Li, Laibao Liu, Martha Apple, Mingjie Shi, Mingzhou Jin, Qing Zhu, Steve Kannenberg, Xiaoying Shi, Xi Zhang, Yaoping Wang, Yilin Fang, Yongjiu Dai

Get full text

Detecting Oil Slicks Using SAR Radar Images and the Google Earth Engine Platform by Ali Kourosh Niya, Ali Ashrafi

Get full text

Comparison and Analysis of Matching patterns using Simulation with Subsurface Navigation Approach Based on Magnetic Maps by Ali Hasankhani

Get full text

Shifts in Planting Date and Change in Length of Growing Season in Yazd Province Under Warmer Climate Conditions by Mansuoreh Kohi, Ebrahim Fattahi, Ebrahim Asadi Oskouei

Get full text

Transpolar Convection and Magnetospheric Ring Current Relations: Real‐Time Applications of the Polar Cap (PC) Indices by Peter Stauning

Get full text

Mechanisms and quantification: How anthropogenic aerosols weaken the East Asian summer monsoon by Yiwen Lang, Jing Zhang, Jin Zhao, Yuhang Gong, Tian Han, Xiaoqing Deng, Yuqing Liu

Get full text

Comparison of PM2.5 Chemical Compositions during Haze and Non-haze Days in a Heavy Industrial City in North China by Menghui Li, Liping Wu, Xiangyan Zhang, Xinwu Wang, Wenyu Bai, Jing Ming, Chunmei Geng, Wen Yang

“…The haze episode was caused by a combination of unfavorable meteorological conditions, secondary formation, the accumulation of local pollutants, and peripheral transmission.…”
Get full text

The Disaster Situation of Van Province and Site Selection Practices in Disaster Housing by Cafer GİYİK, Reşat Atalay OYGUÇ, Serhat Anıktar

“…Depending on the geological structure of the land, its geographical location and meteorological conditions, Van Province is exposed to disasters such as earthquakes, landslides, floods, floods, rockfalls, avalanches and rising water levels of Lake Van. …”
Get full text

Effect of the Apulia air quality plan on PM10 and benzo(a)pyrene exceedances by L. Trizio, L. Angiuli, M. Menegotto, F. Fedele, R. Giua, F. Mazzone, A.G.C. Carducci, R. Bellotti, G. Assennato

“…False negative events (verified ex-post by observed meteorological data) not identified by the forecast model - did not show a significant influence on PM concentration: PM10 values were comparable and sometimes lower than windy days levels. …”
Get full text

Ecological imbalance on the area of Shapahar Upazila, Naogaon district over three decades (1993÷2023) and prediction trend next ten years: a GIS approach by Nazmul Hossain, Ahammodullah Hasan, Jannatul Adnan, Tasmia Jahin Mim, Arman Hossain, Ariful Molla, Noor Hossain, Habib Ibne Jahan, Abdulla Al Mamun

“…Utilizing GIS strategies, remote sensing statistics, and meteorological datasets, we examine the converting patterns of four key land cover sorts: water bodies, vegetation area, bare soil, and settlement area. …”
Get full text

Irrigation Schedule of Rice Based on CROPWAT Model in Southern Central Yunnan by DUAN Qicai, WANG Shupeng, ZHANG Lei, LUO Yingpei, QI Na

“…This study is conducted to further review the rationality of the standard for rice irrigation quotas in Jianshui of southern central Yunnan.On the basis of the observation data of Jianshui Meteorological Station from 1958 to 2013 and the rice-season test results of irrigation test sites in Jianshui from 2016 to 2018,the crop and soil parameters in the CROPWAT model are calibrated,and the processes of water in the rice soaking stage and irrigation amount in the prime field stage are simulated.With frequency arrangement results of irrigation amount in the whole growth stage,the rice irrigation schedule is drafted by the typical-year method.The results indicate that under the irrigation probability (P) of P=50%,P=75%,and P=90%,the irrigation quota of Jianshui rice in the whole growth stage is 510.1,591.1,and 651.2 mm,respectively,including the quota for the rice soaking stage of 185.3,209.2,and 213.9 mm,as well as the quota for the prime field stage of 324.8,381.9,and 437.3 mm,respectively.The irrigation frequency in the prime field stage is 8,9,and 10 times,respectively,and the irrigation quota is between 20.3 to 46.7 mm.The standard for rice irrigation quotas in Jianshui of southern central Yunnan is between 240.0 to 255.0 mm in the rice soaking stage,and under the conditions of P=50%,P=75%,and P=90%,the rice irrigation quota in the prime field stage is 427.5~435.0,487.5~502.5,540.0~562.5 mm,respectively.The current standard for rice irrigation quotas is basically reasonable,but from the viewpoint of water conservation and protection,there is still some water-saving space for rice irrigation.…”
Get full text

Spatiotemporal Variability in Wind Turbine Blade Leading Edge Erosion by Sara C. Pryor, Jacob J. Coburn, Rebecca J. Barthelmie

“…To address this research gap, blade coating lifetimes at 883 sites across the USA are generated based on high-frequency (5-min) estimates of material fatigue derived using a mechanistic model and robust meteorological measurements. Results indicate blade coating failure at some sites in as few as 4 years, and that the frequency and intensity of material stresses are both highly episodic and spatially varying. …”
Get full text

Forward Modeling Simulations to Validate Changes in Electrical Resistivity Tomography Monitoring Data for a Slope with Complex Geology by Azadeh Hojat, Luigi Zanzi, Greta Tresoldi, Meng Heng Loke

“…Core samples show complex geology at the study site, which might justify uneven responses of the different subsurface bodies to meteorological events. However, we decided to investigate the possible inversion artifacts resulting from the individual inversion of the tomographic sections. …”
Get full text

A Traffic Management System by Identifying Pollution Hotspots Among Sensitive Points in a Smart City by Pratik Dutta, Soumyadeep Sur, Sankhayan Choudhury, Sunirmal Khatua

“…In the proposed estimation model, we have attempted to accommodate the meteorological and other essential factors to make it more accurate. …”
Get full text

Natural Disaster Risk Assessments for Pine Honey Apiaries in Muğla, Turkey by Fatih Sarı

“…Determination of forest fire risk zones and flood hazard maps requires environmental, forestry, topographic, economic and meteorological parameters to be handled within a decision support platform. …”
Get full text

Variation and simulation of tomato transpiration in a greenhouse under different ventilation modes by Jiankun Ge, Sen Wang, Xuewen Gong, Yuhao Zhu, Zihui Yu, Yanbin Li

“…Drip-irrigated tomatoes were grown under natural sunlight with two ventilation treatments: T1 (top window open) and T2 (top and south windows open). Meteorological conditions inside the greenhouse and water consumption indicators were analyzed to improve the Penman-Monteith (P-M) model’s resistance parameters (canopy resistance, rc and aerodynamic resistance, ra). …”
Get full text

Mobilization and deposition of plastic along an estuarine bank during tidal cycles by Rosa Sawan, Périne Doyen, Guillaume Veillet, Florence Viudes, Céline Mahfouz, Rachid Amara

“…The experimental design aimed to explore the complexity of the mobilization and deposition of plastic debris with regard to hydro-meteorological factors, types of substrates, size and shape of plastics. …”
Get full text

Spatiotemporal patterns and driving factors of NDVI changes in the central and Western Asia economic corridor over the past decade by Kaimin Wang, Kaimin Wang, Min Xu, Shaohua Wang, Lin Wang, Haijing Tian, Sornkitja Boonprong, Xiaotong Gao, Xiaotong Gao, Xinwei Yang, Heyi Guo, Heyi Guo, Jingbo Li, Jingbo Li, Yujie Yang, Yujie Yang, Ruichen Hu, Ruichen Hu, Yu Zhang, Yu Zhang, Chunxiang Cao

“…Using MOD13A3 NDVI data and ERA5 meteorological reanalysis data, this study evaluated the spatiotemporal changes in NDVI across the CWAEC over the past decade of BRI implementation. …”
Get full text

Analysis of Spatiotemporal Variation of NDVI in Pearl River Basin and Its Driving Force Based on Geodetector by WANG Ruiqing, JIANG Xiaohui, NIE Tong

“…On the basis of the yearly normalized difference vegetation index (NDVI) data from 2000 to 2015,climate,topography,vegetation,soil types,and socio-economic indicators are integrated to analyze the spatiotemporal variation characteristics and driving factors of NDVI in the Pearl River Basin with ArcGIS spatial analysis and geographical detectors (Geodetectors).The results indicate that ① NDVI in the Pearl River Basin shows phased growth in interannual variations from 2000 to 2015,and the overall average annual growth rate is 0.005 3,the medium-high vegetation coverage is greatly transformed into high vegetation coverage,which means the medium-highly and highly vegetated areas have complementary correspondence in spatiotemporal variations,and the average vegetation coverage is greatly improved.② The impact of human activities on the change in vegetation coverage in the Pearl River Basin is greater than that of natural factors.The intensity of human activities in the area reflected by the light intensity at night is the most important factor affecting vegetation changes,and the landform type is the main natural factor affecting vegetation coverage in the basin.On an annual scale,there is little correlation between the change in vegetation coverage and meteorological factors.③ The interaction between natural factors and socio-economic factors is mainly two-factor enhancement,and the two-factor enhancement of the landform type and light intensity at night makes a contribution of 58.9% to the q value;the nonlinear enhancement interaction is mainly between natural factors.By analyzing the range or type of various natural factors suitable for vegetation growth in the study area,this research provides a scientific basis for further promoting the soil and water conservation and ecological protection of the Pearl River Basin.…”
Get full text