Mingguo Ma
Datos Biográficos
| ID | 6173517 |
|---|---|
| NOMBRE | Mingguo Ma |
| NOMBRES | Mingguo |
| APELLIDO | Ma |
| FIRMA | MA M |
| AFILIACIONES | Southwest University |
| ORCID | 0000-0002-6397-2929 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 5 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2018 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2022 |
| ÍNDICE H | 1 |
Evaluation of Empirical and Machine Learning Approaches for Estimating Monthly Reference Evapotranspiration with Limited Meteorological Data in the Jialing River Basin, China
The accurate estimation of reference evapotranspiration ( ET 0 ) is crucial for water resource management and crop water requirements. This study aims to develop an efficient and accurate model to estimate the monthly ET 0 in the Jialing River Basin, China. For this purpose, a relevance vector machine, complex extreme learning machine (C-ELM), extremely randomized trees, and four empirical equations were developed. Monthly climatic data including…
Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data
Gridded population results at a fine resolution are important for optimizing the allocation of resources and researching population migration. For example, the data are crucial for epidemic control and natural disaster relief. In this study, the random forest model was applied to multisource data to estimate the population distribution in impervious areas at a 30 m spatial resolution in Chongqing, Southwest China. The community population data fr…
Waste management, informal recycling, environmental pollution and public health
With rapid population growth, especially in low-income and middle-income countries, the generation of waste is increasing at an unprecedented rate. For example, annual global waste arising from waste electrical and electronic equipment alone will have increased from 33.8 to 49.8 million tonnes between 2010 and 2018. Despite incineration and other waste treatment techniques, landfill still dominates waste disposal in low-income and middle-income c…
Waste management, informal recycling, environmental pollution and public health
With rapid population growth, especially in low-income and middle-income countries, the generation of waste is increasing at an unprecedented rate. For example, annual global waste arising from waste electrical and electronic equipment alone will have increased from 33.8 to 49.8 million tonnes between 2010 and 2018. Despite incineration and other waste treatment techniques, landfill still dominates waste disposal in low-income and middle-income c…
Waste management, informal recycling, environmental pollution and public health
With rapid population growth, especially in low-income and middle-income countries, the generation of waste is increasing at an unprecedented rate. For example, annual global waste arising from waste electrical and electronic equipment alone will have increased from 33.8 to 49.8 million tonnes between 2010 and 2018. Despite incineration and other waste treatment techniques, landfill still dominates waste disposal in low-income and middle-income c…
Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data
Gridded population results at a fine resolution are important for optimizing the allocation of resources and researching population migration. For example, the data are crucial for epidemic control and natural disaster relief. In this study, the random forest model was applied to multisource data to estimate the population distribution in impervious areas at a 30 m spatial resolution in Chongqing, Southwest China. The community population data fr…
Evaluation of Empirical and Machine Learning Approaches for Estimating Monthly Reference Evapotranspiration with Limited Meteorological Data in the Jialing River Basin, China
The accurate estimation of reference evapotranspiration ( ET 0 ) is crucial for water resource management and crop water requirements. This study aims to develop an efficient and accurate model to estimate the monthly ET 0 in the Jialing River Basin, China. For this purpose, a relevance vector machine, complex extreme learning machine (C-ELM), extremely randomized trees, and four empirical equations were developed. Monthly climatic data including…
Environmental Science (3 obras) · Geography (3 obras) · Computer Science (2 obras) · Ecology (2 obras) · Mathematics (2 obras) · Population (2 obras) · Statistics (2 obras) · Agriculture (1 obras) · Artificial Intelligence (1 obras) · Business (1 obras)