Salinization characteristics and its determinants of cultivated and uncultivated lands in the Hetao Irrigation District

Authors: HU Zhiyuan, SHI Haibin, MIAO Qingfeng, HOU Cong, YU Cuicui, MU Yunfang, ZHANG Hua, SHANG Hailing, WEI Zengming

Source: Guan'gai paishui xuebao, Vol 43, Iss 12, Pp 97-105 (2024)

Subject Terms: salinization, soil salt ions, underground water, soil texture, cultivated land and wasteland, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978

File Description: electronic resource

Relation: https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20241211&flag=1; https://doaj.org/toc/1672-3317

Access URL: https://doaj.org/article/d876a28ba0b54cb19ea92367834af435

Divergence of nutrients, salt accumulation, bacterial community structure and diversity in soil after 8 years of flood irrigation with surface water and groundwater

Authors: Rong Hui, Huijuan Tan

Source: BMC Microbiology, Vol 24, Iss 1, Pp 1-14 (2024)

Subject Terms: Bacterial community, Lycium ruthenicum, Salinity filtering, Soil nutrients, Soil salt ions, Saline water, Microbiology, QR1-502

File Description: electronic resource

Relation: https://doaj.org/toc/1471-2180

Access URL: https://doaj.org/article/f70bcabe47bf4d4bb343ace2601ed1f3

Predicting Soil K+ and Na+ Contents in Cotton Field Using Machine Learning Algorithm

Authors: TANG Maosong, ZHANG Nan, LI Guohui, ZHAO Zeyi, LI Mingfa, WANG Xingpeng

Source: Guan'gai paishui xuebao, Vol 42, Iss 9, Pp 32-39 (2023)

Subject Terms: south xinjiang cotton field, soil salt ions, machine learning, regression prediction model, Agriculture (General), S1-972, Irrigation engineering. Reclamation of wasteland. Drainage, TC801-978

File Description: electronic resource

Relation: https://www.ggpsxb.com/jgpxxben/ch/reader/view_abstract.aspx?file_no=20230905&flag=1; https://doaj.org/toc/1672-3317

Access URL: https://doaj.org/article/458c6d77552945f4845910617fa4709c