Evaluating the Sensitivity of Ecosystems
to Soil Salinization in the Manas
River Basin

Zhang, Tianyou; Wang, Ling; Yan, Han

doi:10.15244/pjoes/65836

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…Typically, calorific values of coal lie in the range of 13.87-32.08 MJ/Kg. Implementation regarding calorific value is not suitable for industrial applications because it is not useful for plant equipment and the environment, which is a serious issue [56][57][58][59][60][61][62][63].…”

Section: Discussionmentioning

confidence: 99%

Variations in the Physicochemical Profile of Khushab Coal under Various Environmental Conditions

Amjed¹,

Bhatti²,

Arif³

et al. 2018

Pol. J. Environ. Stud.

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Emissions of hazardous materials like methane, carbon monoxide, sulphur, and coal dust during the mining process posed severe environmental problems [1-4]. Non-implementation of environmental standards is a major cause of these enhanced effluents. The incidence of sulphur in the coal matrix is responsible for acidic contents of underground water. Effective greenhouse gases released into the air are a major source of global warming and acid rain. Negative changes to the environment caused by the coal mining process include severe damage to waterways due to the sulphurous contents of mined material. The concerns of such activities have resulted in the alteration in atmospheric settings that eventually affect climatic conditions globally [5-20]. The composition and structure of coal consists of carbon mixed with hydrogen-containing impurities. The presence of benzene tri-, tetra-, and complex waxy material indicates the preponderance of aromatic structures. The topological indices are often used to model

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Section: Discussionmentioning

confidence: 99%

Variations in the Physicochemical Profile of Khushab Coal under Various Environmental Conditions

Amjed¹,

Bhatti²,

Arif³

et al. 2018

Pol. J. Environ. Stud.

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“…The southern part consists of the downstream branches of the Anjihai River, the West Main Canal, the Main Drainage Canal, and the Alkali Drainage Canal, forming the Anjihai Irrigation Area, which connects to the mountain-front oasis of the northern slope of the Tianshan Mountains. The oasis area in the basin is composed of alluvial fans, alluvial plains, and deltas [26]. It is particularly characterized by higher soil salinity in the transition zone between the alluvial fan edge and the central part of the alluvial plain.…”

Section: Study Areamentioning

confidence: 99%

Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil–Land Inference Model

Gao,

Wang,

et al. 2023

Agronomy

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Soil salinization can decrease soil productivity and is a significant factor in causing land degradation. Precision mapping of salinization in agricultural fields would improve farmland management. This study focuses on the cropland in the Manas River Basin, located in the arid region of northwest China. It explores the potential of a soil mapping method, the Soil–Land Inference Model (SoLIM), which only requires a small number of soil samples to infer soil salinization of farmlands in arid areas. The model was utilized to create spatial distribution maps of soil salinity for the years 2009 and 2017, and changes in the distribution were analyzed. The research results indicate: (1) Through the analysis of sample point data, it was observed that soil salinity in the study area tends to accumulate in the surface layer (0–30 cm) in spring and in the subsoil layer (60–90 cm) during the crop growing season, with significant spatial variability. Therefore, it is necessary to conduct detailed salinity mapping. (2) Using field measurements as validation data, the simulation results of the SoLIM were compared with spatial interpolation methods and regression models. The SoLIM showed higher inference accuracy, with R2 values for the simulation results of the three soil layers all exceeding 0.5. (3) The SoLIM spatial inference showed salt accumulation in the northern part and desalination in the southern part. The findings of this study suggest that the SoLIM has the potential to effectively map soil salinization of croplands in arid areas, offering an efficient solution for monitoring soil salinity in arid oasis croplands.

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“…The indexes with the least influence were collapse and landslides. The influence degree of the assessment factors was vegetation coverage > water system > roads > land-use type > slope > biodiversity > elevation > residential areas > aspect > landslide > collapse [3,[57][58][59]. We selected eleven single factors as important indicators to evaluate the ecological sensitivity of the Erhai Lake Basin, which were closely related to its ecological environment.…”

Section: Characteristics Of Land-use Transfermentioning

confidence: 99%

Dynamic Spatiotemporal Land Use Evolution in China’s Plateau Lake Basins in Response to Landscape Ecological Sensitivity

Wang,

Song,

et al. 2023

Sustainability

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Ecological sensitivity measures an ecosystem’s reaction and restoration difficulty to exogenous disturbances. Regional ecological and environmental challenges can be identified using ecological sensitivity evaluation. The regional characteristics and environmental challenges of plateau lakes were quantified to create four assessment indexes: landform, natural conditions, human activities, and ecological security. Eleven ecologically sensitive characteristics were chosen. We evaluated the landscape ecological sensitivity of the Erhai Lake Basin, China, using ArcGIS and the analytical hierarchy process (AHP). The results showed that the Erhai Lake Basin was mostly forest from 1990 to 2020 and that the dynamic land-use attitude increased and then reduced. The cultivated land became mostly woods and grassland. The largest building area was tied to reverting farms to woods and urban construction. The highest weight was from single-factor ecologically sensitive vegetation covering, followed by river systems and roadways, and lowest was from landslides and collapses. The ecologically sensitive areas with more vegetation and a greater distance from roads and woodland are harder to recover from harm. According to the thorough sensitivity analysis, the study region’s high sensitivity area is 1102.36 km2 (26.16%) and the higher sensitivity area is 1177.10 km2 (27.93%). The ecological sensitivity increases from neighborhoods to nature reserves. High-sensitivity areas were in hilly woods and grasslands with few people. The low-sensitivity area was around water and homes. The dynamic stability of the area ecological environment influenced ecological sensitivity. This study aims to provide sustainable land use solutions for the Erhai Lake Basin and a scientific basis for managing and protecting ecologically vulnerable areas.

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Evaluating the Sensitivity of Ecosystems to Soil Salinization in the Manas River Basin

Cited by 6 publications

References 13 publications

Variations in the Physicochemical Profile of Khushab Coal under Various Environmental Conditions

Variations in the Physicochemical Profile of Khushab Coal under Various Environmental Conditions

Soil Salinity Mapping of Croplands in Arid Areas Based on the Soil–Land Inference Model

Dynamic Spatiotemporal Land Use Evolution in China’s Plateau Lake Basins in Response to Landscape Ecological Sensitivity

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