GIS-based risk assessment of grassland fire disaster in western Jilin province, China

2008 ◽  
Vol 23 (4) ◽  
pp. 463-471 ◽  
Author(s):  
Tong Zhijun ◽  
Zhang Jiquan ◽  
Liu Xingpeng
Keyword(s):  
Risk Assessment ◽  
Jilin Province ◽  
Fire Disaster ◽  
Western Jilin Province ◽  
Grassland Fire ◽  
Western Jilin

Arsenic and fluorine in groundwater in western Jilin Province, China: occurrence and health risk assessment

2015 ◽  
Vol 77 (3) ◽  
pp. 1903-1914 ◽  
Author(s):  
B. Jianmin ◽  
W. Yu ◽  
Z. Juan
Keyword(s):  
Risk Assessment ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Jilin Province ◽  
Western Jilin Province ◽  
Western Jilin

Dynamics of landscape pattern and connectivity of wetlands in western Jilin Province, China

2019 ◽  
Vol 22 (3) ◽  
pp. 2517-2528 ◽  
Author(s):  
Lei Zhang ◽  
Guanglei Hou ◽  
Fengping Li
Keyword(s):  
Landscape Pattern ◽  
Jilin Province ◽  
Western Jilin Province ◽  
Western Jilin

Dynamics of sandy desertification and its driving forces in western Jilin Province

2004 ◽  
Vol 14 (1) ◽  
pp. 57-62 ◽  
Author(s):  
Fang Li ◽  
Yan-fen He ◽  
Zhi-ming Liu ◽  
Bai Zhang
Keyword(s):  
Driving Forces ◽  
Jilin Province ◽  
Sandy Desertification ◽  
Western Jilin Province ◽  
Western Jilin

A case study on the relationship between soil geochemical components and salinization in the western Jilin Province of China

2004 ◽  
Author(s):  
Yingbo Zhu ◽  
Quansheng Ge ◽  
Jiyuan Liu ◽  
Yunxuan Zhou ◽  
Zhiqiang Gao ◽  
...  
Keyword(s):  
Jilin Province ◽  
Western Jilin Province ◽  
The Relationship ◽  
Western Jilin

scholarly journals Electrical Conductivity Inversion Method of Saline Soil based on Sentinel-2 MSI data

2020 ◽  
Author(s):  
Yishan Sun ◽  
Xiaojie Li ◽  
Tao Jiang ◽  
Xingming Zheng ◽  
Zhengwei Liang
Keyword(s):  
Electrical Conductivity ◽  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Saline Soil ◽  
Soil Salinization ◽  
Jilin Province ◽  
Western Jilin Province ◽  
Western Jilin ◽  
Sentinel 2

Electrical conductivity (EC) is not only an important index to evaluate the degree of soil salinization, but also an essential basis for judging whether saline soil can be improved and assess the effect of improvement efforts. Satellite remote sensing provides much information for large scale EC inversion of saline soil, which enables the possibility for evaluating the degree and distribution of soil salinization. Taking the salinized region of western Jilin Province as the study area, 328 salinized soil samples were collected, and the EC was measured in June 2019. The construction of the optimal spectral parameters was based on the correlation between the conductivity and the spectral reflectivity of Sentinel-2 MSI data; after satisfying the normal distribution for the Box-Cox transformation of EC, the inversion model of EC was established by using linear regression model, support vector machine (SVM), regression tree (RT), Gaussian process regression (GPR), and ensemble tree (ET). The verification results of the model on the validation set showed that the performance of GPR was optimal (R2 = 0.66, RMSE = 0.48 mS/cm, MAE=0.52 mS/cm), which increased R2 by 29.04% compared with the traditional linear regression model. Finally, according to the GPR model, the EC results of pixel-level resolution (10 m × 10 m) of saline soil in western Jilin Province were inversed, which provided a scientific basis for the study of the distribution characteristics and improvement scheme of saline soil.

scholarly journals The Development and Utilization of Saline–Alkali Land in Western Jilin Province Promoted the Sequestration of Organic Carbon Fractions in Soil Aggregates

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2563
Author(s):  
Yunke Qu ◽  
Jie Tang ◽  
Zihao Zhou ◽  
Ben Liu ◽  
Yucong Duan ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Microbial Biomass Carbon ◽  
Carbon Sink ◽  
Soil Aggregates ◽  
Soil Layer ◽  
Jilin Province ◽  
Western Jilin Province ◽  
Development And Utilization ◽  
Western Jilin ◽  
Soc Fractions

Soil samples from T (0~20 cm) and S (20~40 cm) layers of four saline–alkali rice fields (R5, R15, R20, and R35) with different reclamation years were selected to study the distribution of soil aggregates and the contents of readily oxidizable organic carbon (ROC), dissolved organic carbon (DOC), microbial biomass carbon (MBC), potentially mineralizable carbon (PMC), and soil organic carbon (SOC). The effects of large macroaggregate (>2 mm, LMA), small macroaggregate (0.25 to 2 mm, SMA), and microaggregate (<0.25 mm, MA) particle size, soil layer, and soil physicochemical properties on SOC fractions were also analyzed. The results showed that the LMA size in saline–alkali paddy fields were easily decomposed and was unstable due to the influence of the external environment. With the increase in reclamation years, the proportion of LMA in the S layer decreased gradually. The ROC, DOC, MBC and TOC contents of aggregates in the T and S layers gradually increased with the increase in reclamation years, and SOC fractions contents of aggregates in different grain sizes were SMA > LMA > MA. An effective way to increase carbon sink and improve the ecological environment in western Jilin Province is to change the soil environment by planting rice in saline–alkali land.

Analysis of Groundwater Function in Western Jilin Province

2009 ◽  
pp. 209-213
Author(s):  
Xiujuan Liang ◽  
Changlai Xiao ◽  
Wei Fan ◽  
Chao Du ◽  
Guangming Wang ◽  
...  
Keyword(s):  
Jilin Province ◽  
Western Jilin Province ◽  
Western Jilin
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