Bingbo Gao
Biographic Data
| ID | 4422996 |
|---|---|
| NAME | Bingbo Gao |
| GIVEN NAMES | Bingbo |
| FAMILY NAME | Gao |
| SIGNATURE | GAO B |
| AFFILIATIONS | National Engineering Research Center for Information Technology in Agriculture |
| ORCID | 0000-0002-4315-4873 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Potential expansion of wheat planting areas driven by climate warming offsets yield losses and enhances global production
Internalizing the external costs to achieve environmental and economic Goals: A Case study of rice production in China
A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns
Black soil is fertile, abundant with organic matter (OM) and is exceptional for farming. The black soil zone in northeast China is the third-largest black soil zone globally and produces a quarter of China’s commodity grain. However, the soil organic matter (SOM) in this zone is declining, and the quality of cultivated land is falling off rapidly due to overexploitation and unsustainable management practices. To help develop an integrated protect…
A soil sampling design for arable land quality observation by using SPCOSA–CLHS hybrid approach
Arable land quality has been evaluated through weighted average of indicators related to soil properties and tillage technics to present the most basic function of cropland: food production potential. A hybrid sampling method spatial coverage sampling and random sampling–conditioned Latin hypercube sampling (SPCOSA–CLHS) was designed for arable land quality observation network in this paper. The SPCOSA–CLHS integrates the uniform spatial partitio…
An Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial Sampling: Amosa-Ii
Complex geographical spatial sampling usually encounters various multi-objective optimization problems, for which effective multi-objective optimization algorithms are much needed to help advance the field. To improve the computational efficiency of the multi-objective optimization process, the archived multi-objective simulated annealing (AMOSA)-II method is proposed as an improved parallelized multi-objective optimization method for complex geo…
Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using Modis Data
In recent years, particulate matter (PM) pollution has increasingly affected public life and health. Therefore, crop residue burning, as a significant source of PM pollution in China, should be effectively controlled. This study attempts to understand variations and characteristics of PM 10 and PM 2.5 concentrations and discuss correlations between the variation of PM concentrations and crop residue burning using ground observation and Moderate R…
Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using Modis Data
In recent years, particulate matter (PM) pollution has increasingly affected public life and health. Therefore, crop residue burning, as a significant source of PM pollution in China, should be effectively controlled. This study attempts to understand variations and characteristics of PM 10 and PM 2.5 concentrations and discuss correlations between the variation of PM concentrations and crop residue burning using ground observation and Moderate R…
An Improved Parallelized Multi-Objective Optimization Method for Complex Geographical Spatial Sampling: Amosa-Ii
Complex geographical spatial sampling usually encounters various multi-objective optimization problems, for which effective multi-objective optimization algorithms are much needed to help advance the field. To improve the computational efficiency of the multi-objective optimization process, the archived multi-objective simulated annealing (AMOSA)-II method is proposed as an improved parallelized multi-objective optimization method for complex geo…
A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns
Black soil is fertile, abundant with organic matter (OM) and is exceptional for farming. The black soil zone in northeast China is the third-largest black soil zone globally and produces a quarter of China’s commodity grain. However, the soil organic matter (SOM) in this zone is declining, and the quality of cultivated land is falling off rapidly due to overexploitation and unsustainable management practices. To help develop an integrated protect…
A soil sampling design for arable land quality observation by using SPCOSA–CLHS hybrid approach
Arable land quality has been evaluated through weighted average of indicators related to soil properties and tillage technics to present the most basic function of cropland: food production potential. A hybrid sampling method spatial coverage sampling and random sampling–conditioned Latin hypercube sampling (SPCOSA–CLHS) was designed for arable land quality observation network in this paper. The SPCOSA–CLHS integrates the uniform spatial partitio…
Potential expansion of wheat planting areas driven by climate warming offsets yield losses and enhances global production
Internalizing the external costs to achieve environmental and economic Goals: A Case study of rice production in China
Environmental Science (3 works) · Agriculture (2 works) · Agronomy (2 works) · Computer Science (2 works) · Crop (2 works) · Ecology (2 works) · Mathematics (2 works) · Population (2 works) · Production (economics (2 works) · Soil Carbon and Nitrogen Dynamics (2 works)