Soil Salizanation Information in the Yellow River Delta Based on Feature Surface Models Using Landsat 8 OLI Data

Guo, Bing; Zang, Wenqian; Zhang, Rui

doi:10.1109/access.2020.2995458

Cited by 19 publications

(8 citation statements)

References 21 publications

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“…The daily model of rainfall erosive force (Equation ( 2)) has been adopted in this study, which can better reflect the semi-monthly and monthly variation. In addition, it has been widely used in the calculation of rainfall erosion force and then even used in the first national water conservancy survey (2020-2012) that aimed to investigate the conditions of development, control and protection of rivers and lakes in China (Du et al 2016;Liu et al 2016;Guo et al 2020f).…”

Section: Improved Model Of Ruslementioning

confidence: 99%

Spatial–temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change

Xiao

Yang

Guo

et al. 2020

Geomatics, Natural Hazards and Risk

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This study optimized the slope and slope length factor (LS) and crop management factor (P) of the RUSLE model and then introduced the gravity centre model to analyze the spatial-temporal variation patterns of soil erosion in Yellow River Basin from a new perspective. Results showed that: (1) The improved model of RUSLE with optimized factors of LS and P had better applicability in Yellow River Basin; (2) The average erosion intensity was 2777.5 t/a, which belonged to moderate erosion. The soil erosion intensity of the Yellow River Basin showed an overall trend of increasing firstly (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005) and then decreasing (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015).(3) During 1990-2015, the gravity centre of soil erosion moved to the southwest, indicating that the increment and increasing rate of soil erosion in the southwest parts of the Yellow River Basin were greater than that in the northeast parts. (4) The intensity of soil erosion aggravated with the increasing slope. The sandy soil, chestnut soil, light-grey calcium soil and fluvo aquic soil had severe erosion intensity due to the regional climate and their own physical-chemical structure. The woodland and shrubbery land were more susceptible to soil erosion.

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Section: Improved Model Of Ruslementioning

confidence: 99%

Spatial–temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change

Xiao

Yang

Guo

et al. 2020

Geomatics, Natural Hazards and Risk

Self Cite

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“…In the study, the original Landsat data is Level 1 Terrain Corrected (L1T) product, which is radiometrically corrected and co-registered to a cartographic projection, with corrections for terrain displacement resulting in a standard orthorectified digital image [24], [25], [26]. According to the current data source and the needs of this research study, seven images were selected, all with a cloud cover less than 5%.…”

Section: B Datamentioning

confidence: 99%

Dynamic Monitoring and Analysis of Land-Use and Land-Cover Change Using Landsat Multitemporal Data in the Zhoushan Archipelago, China

Chen

Liao

et al. 2020

IEEE Access

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Rapid urbanization, marked by massive land-use and land-cover change (LUCC) and explosive population growth, has a significant impact on human activities. To provide a comprehensive understanding of the characteristics of LUCC in the Zhoushan Archipelago, dynamic monitoring and analysis of LUCC was performed using seven Landsat images from 1984 to 2016. The observations and results obtained in this study include the following: the forest of Zhoushan Island was well protected and had a slight increase in the area, yet the spatial distribution remained nearly unchanged; the construction land gradually expanded to all of the coastal plains and southern islands with a trend "first southward, then eastward and finally northward," and the area increased by 571.88%; the coastal cropland/grassland surrounding Zhoushan Island was observed to have been gradually occupied by construction land as noted by a 27.94% decrease in area and the spatial distribution becoming discrete; the mudflat decreased by 93.39% and was mainly converted into construction land; the total land area observed in this study increased by 8.87%, which was achieved primarily by sea reclamation and conversion to construction land and inland water body. These results provide a better understanding of the spatial and temporal evolvement features of LUCC in Zhoushan, China, and the LUCC characteristics that can be expected to significantly support urban management and sustainable development.

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“…Research has highlighted significant temporal and spatial variations in soil salinization in the Yellow River Delta [4]. In the past two decades, there has been a rapid and extensive increase in soil salinization from coastal to inland regions [5][6][7]. With a development history of just over 100 years, the Yellow River Delta primarily focuses on cultivating grain crops.…”

Section: Introductionmentioning

confidence: 99%

Planning Spatial Layout of a Typical Salt Tolerant Forage of Sweet Sorghum in the Yellow River Delta via Considering Resource Constraints, Nitrogen Use Efficiency, and Economic Benefits

Gao

Shao

Liu

et al. 2023

Plants

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In order to effectively address the issue of severe soil salinization in the coastal area of the Yellow River Delta, which has led to a significant number of medium and low-yield fields in this region, and to satisfy the rising demand for feed grain in China in recent years, a highly effective solution is to replace conventional crops by cultivating a specialized type of forage grass that can withstand high salinity levels and is well adapted to the local climate. This study proposed a spatial layout scheme for planting salt-tolerant forages, with the aim of providing a foundation for enhancing saline-alkali land and increasing resource utilization efficiency. The results showed that the climate conditions in the Yellow River Delta were suitable for planting sweet sorghum. With respect to soil salt content, the suitable planting regions for sweet sorghum can be classified into four categories: Suitable, moderately suitable, less suitable, and unsuitable, with soil salt concentrations of 2.62–5.25‰, 5.25–7.88‰, respectively. Concerning economic benefits, sweet sorghum’s input-output ratio (74.4%) surpasses that of cotton in high saline-alkali zones, providing a significant advantage in comparison with traditional crops. In non-saline-alkali and light saline-alkali areas, the traditional winter wheat-summer maize planting system offers higher economic benefits and nitrogen use efficiency, so it is recommended to maintain this system as the dominant agricultural model. In moderately and severe saline-alkali zones, although one-season maize exhibits greater nitrogen efficiency, its economic benefits are lower than those of sweet sorghum. Hence, it is advisable to promote one-season maize in suitable regions and introduce salt-tolerant forage, such as sweet sorghum in other areas. This approach offers novel ideas and methods for crop spatial layout planning and addresses potential feed grain shortages in the region.

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Soil Salizanation Information in the Yellow River Delta Based on Feature Surface Models Using Landsat 8 OLI Data

Cited by 19 publications

References 21 publications

Spatial–temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change

Spatial–temporal evolution patterns of soil erosion in the Yellow River Basin from 1990 to 2015: impacts of natural factors and land use change

Dynamic Monitoring and Analysis of Land-Use and Land-Cover Change Using Landsat Multitemporal Data in the Zhoushan Archipelago, China

Planning Spatial Layout of a Typical Salt Tolerant Forage of Sweet Sorghum in the Yellow River Delta via Considering Resource Constraints, Nitrogen Use Efficiency, and Economic Benefits

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