Assessing secondary soil salinization risk based on the PSR sustainability framework

Zhou, De; Lin, Zhulu; Liu, Liming; Zimmermann, David

doi:10.1016/j.jenvman.2013.06.025

Cited by 59 publications

(64 citation statements)

References 59 publications

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“…The eleven socio-industrial parameters were determined during the study of soil salinization in the Yellow River Delta [28]. The fourteen parameters as a composite risk index of Irrigation salinization was proposed and employed in the assessment of salinization in the Yinchuan Plain [8,24]. Although these studies have identified the main anthropogenic and natural causes of salinity and the mechanisms behind them [29].…”

Section: Composite Risk Index For Irrigation Salinity Hazardmentioning

confidence: 99%

“…The irrigation salinity mainly results from unreasonable land reclamation and excessive irrigation due to the promotion of groundwater salinity moving along the soil capillary pores to the surface and a lack of enough drainage for the leaching of salts [3][4][5], supposing that groundwater salinity moves to the surface due to the replacement of native vegetation with shallow rooted crops, then dry land salinity occurs [6,7], they both are belongs to secondary salinization. They are different from primary soil salinization, which occurs naturally when salt stored in the soil or groundwater is mobilized to the land surface in the natural processes of a landscape [7,8].…”

Section: Introductionmentioning

confidence: 96%

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Irrigation Salinity Risk Assessment and Mapping in Arid Oasis, Northwest China

Seydehmet

Abliz

et al. 2018

Water

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Irrigation salinity is a common environmental threat for sustainable development in the Keriya Oasis, arid Northwest China. It is mainly caused by unreasonable land management and excessive irrigation. The aim of this study was to assess and map the salinity risk distribution by developing a composite risk index (CRI) for seventeen risk parameters from traditional and scientific fields, based on maximizing deviation method and analytic hierarchy process, the grey relational analysis and the Pressure-State-Response (PSR) sustainability framework. The results demonstrated that the northern part of the Shewol and Yeghebagh village has a very high salinity risk, which might be caused by flat and low terrain, high subsoil total soluble salt, high groundwater salinity and shallow groundwater depth. In contrast, the southern part of the Oasis has a low risk of salinity because of high elevation, proper drainage conditions and a suitable groundwater table. This achievement has shown that southern parts of the Oasis are suitable for irrigation agriculture; for the northern area, there is no economically feasible solution but other areas at higher risk can be restored by artificial measures. Therefore, this study provides policy makers with baseline data for restoring the soil salinity within the Oasis.

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Section: Composite Risk Index For Irrigation Salinity Hazardmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Irrigation Salinity Risk Assessment and Mapping in Arid Oasis, Northwest China

Seydehmet

Abliz

et al. 2018

Water

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“…The DPSIR framework provides a systematic mechanism for selecting and structuring indicators [35][36][37]. Therefore, the framework has often been applied in impact assessment studies [34,[38][39][40][41][42][43], and the employment in soil salinization includes assessing secondary soil salinization risks [12].…”

Section: Modeling Toolmentioning

confidence: 99%

“…For selection of appropriate indicators to populate each Driver, Pressure, and State variable in the simulation model, we reviewed previously published literature about soil salinization related to sociological, ecological and environmental systems [11,12,57,58]. This provided major variable sources for the model.…”

Section: Variable Indicators and Proxiesmentioning

confidence: 99%

Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China

Seydehmet

Nurmemet

et al. 2018

Sustainability

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Significant anthropogenic and biophysical changes have caused fluctuations in the soil salinization area of the Keriya Oasis in China. The Driver-Pressure-State-Impact-Response (DPSIR) sustainability framework and Bayesian networks (BNs) were used to integrate information from anthropogenic and natural systems to model the trend of secondary soil salinization. The developed model predicted that light salinization (vegetation coverage of around 15-20%, soil salt 5-10 g/kg) of the ecotone will increase in the near term but decelerate slightly in the future, and that farmland salinization will decrease in the near term. This trend is expected to accelerate in the future. Both trends are attributed to decreased water logging, increased groundwater exploitation, and decreased ratio of evaporation/precipitation. In contrast, severe salinization (vegetation coverage of around 2%, soil salt ≥20 g/kg) of the ecotone will increase in the near term. This trend will accelerate in the future because decreased river flow will reduce the flushing of severely salinized soil crust. Anthropogenic factors have negative impacts and natural causes have positive impacts on light salinization of ecotones. In situations involving severe farmland salinization, anthropogenic factors have persistent negative impacts.

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“…Irrigated areas show the highest salinity process in soil [7][8][9][10], thus, a tool is needed for managing the soil salinity hazard due to water quality, especially in flat and dry areas. Besides, with the ever-increasing competition for finite water resources and the steadily rising demand for agricultural commodities, the call to improve the efficiency and productivity of water use for crop production, to ensure future food security and address the uncertainties associated with climate change, has never been more urgent [1]and relying on a network of several scientific institutions, FAO has packaged a set of tools in this Irrigation and Drainage Paper to better appraise and enhance crop yield response to water.…”

Section: Introductionmentioning

confidence: 99%

A Methodological Approach for Assessing Soil Salinity Hazard in Irrigated Areas. Case Study: The rut Irrigation District, Colombia

Echeverri-Sánchez¹,

Pérez²,

Rojas

et al. 2016

rev.ing.univ.Medellin

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A methodology towards assessing soil salinity hazard at irrigated areas of Colombia was developed based on both electrical conductivity and solubility of salts in water. First, irrigated areas were identified; and then, their physicochemical parameters were determined for characterizing electrical conductivity of water (ECw) as well as predicting salt contents in water by employing the Solsariego model. Afterwards, levels of salinity hazard were assessed by matching classes of ECw and solubility of salts in water. Finally, the salinity hazard was mapped for each irrigated zone. As a major conclusion, we consider that the methodological approach based on water quality assessment (ECw, salt contents, and their solubility in the irrigated water) allowed to prioritize hazard level. Hence, we can address activities for managing the soil salinity in the case study.

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Assessing secondary soil salinization risk based on the PSR sustainability framework

Cited by 59 publications

References 59 publications

Irrigation Salinity Risk Assessment and Mapping in Arid Oasis, Northwest China

Irrigation Salinity Risk Assessment and Mapping in Arid Oasis, Northwest China

Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China

A Methodological Approach for Assessing Soil Salinity Hazard in Irrigated Areas. Case Study: The rut Irrigation District, Colombia

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