In recent years, the issue of air pollution has garnered significant public attention globally, with a particular emphasis on challenge atmospheric fine particulate matter (PM2.5) pollution. The efficient and precise simulation changes in pollutant concentrations, as well their spatial temporal distribution, is essential for effectively addressing issue. this paper, WRF-Chem model used to simulate meteorological elements including temperature (T), relative humidity (RH), wind speed (WS),...

Net ecosystem productivity (NEP) is a crucial indicator of the carbon balance and health an ecosystem. Until now, few studies have estimated NEP crops analyzed it in space time. The study for comprehending cycle agroecosystems determining status sources sinks farmland at regional scale. In this study, we calculated net primary (NPP) agricultural Jiangsu Province, China, from 2001 to 2022 by using remote sensing data, land cover data meteorological data. modified Carnegie Ames Stanford...

Methane (CH4) is the second-largest greenhouse gas emitted by human activity and natural sources after carbon dioxide (CO2). Its relatively short lifetime in atmosphere (about 12 years) means that we can mitigate impacts of climate change a period time reducing CH4 emissions. The creation emissions management policies be based on distribution maps surface concentration are large-scale at high-resolution. estimate with broad coverage provided currently extensively used satellite data...

With advancements in integrated space-air-ground global observation capabilities, the volume of remote sensing data is experiencing exponential growth. Traditional computing models can no longer meet task processing demands brought about by vast amounts data. As an important means data, distributed cluster computing's scheduling directly impacts completion time and efficiency resource utilization. To enhance optimize allocation resources, this study proposes a Multi-Strategy Improved...

Imported air pollution has a significant impact on urban quality. Relevant studies have shown that many events are not resourced by local emissions but imported from surrounding areas transported across regions. The prevention and control of is very necessary. However, the existing supervision quality mostly relies ground monitoring stations, which extremely limited in time space, cannot satisfy continuous time-space research. Therefore, aiming at problem control, this paper used MERRA-2...

Accurately estimating crop carbon sinks at large regional scales from the perspective of remote sensing is great significance for neutrality research, yield estimation, and scientific agriculture. In this study, an improved Carnegie–Ames–Stanford approach (CASA) model was coupled with time-series satellite images to estimate Net primary productivity. The NEP then further calculated by coupling soil respiration represent sink a scale. main research contents: (1) month-by-month net...

Methane is the world's second largest greenhouse gas after carbon dioxide, accounting for about one-sixth of total emissions. Due to development animal husbandry, dioxide and methane produced in process husbandry breeding have gradually become one important sources effect. The research emissions from great significance sorting out gases. This paper aimed at Hebei Province, using TROPOMI sensors onboard Sentinel-5P, TANSO-FTS GOSAT observation data, related ground station data. main content:...

—This paper evaluates a three-dimensional scene construction algorithm that assigns CALIPSO-observed profiles to receiving pixels in MODIS imagery through spectral radiance matching (SRM), so limited number of vertically resolved aerosol observations can be expanded into regionally continuous structure. The SRM was tested using moderate resolution imaging spectro-radiometer (MODIS) and cloud-aerosol lidar infrared pathfinder satellite observation (CALIPSO) data for the period April 10–25,...

The Muri region of Qinghai Province is not only the source important water sources, but also one key areas targeted by ecological environment restoration project. study Net ecosystem productivity (NEP) grassland in great importance order to gain insight into health ecosystems and assess carbon sink capacity. In this study, net primary (NPP) NEP from 2000 2022 were calculated using remote sensing data, meteorological data land cover coupled with Carnegie-Ames-Stanford Approach (CASA) model...

TanSat is crucial for detecting global CO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> concentration, solar-induced chlorophyll fluorescence, and flux as China's first atmospheric concentration monitoring satellite. This manuscript presents a preliminary attempt to estimate anthropogenic emissions from large sources with TanSat. We identified XCO (the column-average dry air-mole fraction of ) anomalies quantified two observations in...

Methane CH <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</inf> ) is the second largest greenhouse gas in world after CO xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> . emissions contribute 16% of world's gases. Although global CH4 are much lower than carbon dioxide emissions, their warming potential (GWP) over 100 years 28-36 times greater that dioxide. Using satellites to observe methane an effective means. This paper aimed at Hebei...

Imported air pollution has a significant impact on urban quality. Many events are not caused by local emissions, but the transport of pollutants from surrounding areas. Therefore, it is very necessary to prevent and control imported pollution. However, existing supervision quality mostly relies ground monitoring stations, which extremely limited in time space. In this paper, MERRA-2 data used grasp more macroscopic perspective, combined with station meteorological data, transmission route...

In this paper, surface-level ozone in China was estimated by using the source-sink analysis and machine learning model. By analyzing source sink of surface ozone, it is clear that mass concentration influenced background value, regional local chemical generation, deposition, removal Interregional transport comprehensively. Then, light gradient boosting (LGBM) model used to integrate various corresponding satellite-based variables, numerical model-based meteorological variables land obtain...

This paper calculates the Air Quality Index (AQI) in Xuzhou from 2018 to 2020 and analyzes its annual monthly changes air quality determine month of severe pollution. Through AQI calculation interpolation analysis different locations Xuzhou, conditions regions are determined. HYSPLIT backward trajectory model, cluster masses December is carried out. Combined with PM2.5 concentration data released every hour by State Control Station, PSCF CWT methods used potential sources pollution regions....

The air quality model can reproduce the processes of atmospheric transport, chemical reaction and removal, analyze spatio-temporal evolution law, internal mechanism origin pollution. WRF-Chem is third generation model. Its biggest advantage that meteorological transmission are fully coupled in time spatial resolution to achieve true online feedback, which main development direction future Therefore, this paper selected Xuzhou City, a heavy industry city with serious pollution, as research...

Aerosol vertical structure (AVS) plays an important role in the Earth's climate system. The spectral radiance matching (SRM) method can effectively reconstruct aerosol three-dimensional structure, but it is affected by donor-recipient accuracy. To overcome problem, this paper, SRM algorithm improved using regional radiation instead of single-pixel matching. First, cost function constructed multispectral radiometric difference between off-nadir recipient pixel neighborhood and potential donor...

In this paper, surface ozone in China were estimated by the Geographically and Temporally Weighted Regression model with its precursors AOD data. Based on GTWR model, was time, space, AOD. Taking August 1, 2022 as an example, it analyzed confirmed about feasibility of data estimating mass concentrations.

Dust as a kind of atmospheric pollutants, its harm are gradually being paid attention to. However, most the existing supervision dust relies on ground monitoring sites, which has strong spatial limitations. In this paper, high-resolution remote sensing images used to identify regional sources, can at more macroscopic level from “plane”. At same time, particulate emission inventory was established based multi-source data, and then is quantified. This paper takes Quanshan District, Xuzhou...