Management scenarios methodology for salinity control in rivers (case study: Karoon River, Iran)

The dramatic growth of the world’s population is increasing the pressure on natural resources, particularly on soil systems. At the same time, inappropriate agricultural practices are causing widespread soil degradation. Improved management of soil resources and identification of the potential agricultural capability of soils is therefore needed to prevent further land degradation, particularly in dryland areas such as Egypt. Here, we present a case study in the El-Fayoum depression (Northern Egypt) to model and map soil suitability for 12 typical Mediterranean crops. Two management scenarios were analyzed: the current situation (CS) and an optimal scenario (OS) of soil variables. The Almagra model was applied to estimate soil suitability under CS and OS. Management options based on the CS assessment were proposed to reduce some limiting factors: a fixed value of 2 dSm−1 for soil salinity and 5% for sodium saturation; these defined the OS. Under optimal management, the OS scenario showed potential, where a notable increase of the area covered by a high suitability class (around 80%) for annual and semi-annual crops was observed. There was also a marked increase (about 70% for CS and 50% for OS) for perennial crops shifting from the marginal to moderate soil suitability class. The results reveal the importance of proper management to massively alter soil suitability into better states in order to achieve sustainable land use in this fertile agro-ecosystem.

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Effects of an extreme flood on river morphology (case study: Karoon River, Iran)

Geomorphology ◽

10.1016/j.geomorph.2017.12.034 ◽

2018 ◽

Vol 304 ◽

pp. 30-39 ◽

Cited By ~ 19

Author(s):

Saleh Yousefi ◽

Somayeh Mirzaee ◽

Saskia Keesstra ◽

Nicola Surian ◽

Hamid Reza Pourghasemi ◽

...

Keyword(s):

River Morphology ◽

Karoon River ◽

Extreme Flood

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Study of the environmental performance of end-of-life tyre recycling through a simplified mathematical approach

Thermal Science ◽

10.2298/tsci120212129a ◽

2012 ◽

Vol 16 (3) ◽

pp. 889-899 ◽

Cited By ~ 12

Author(s):

Usón Aranda ◽

Germán Ferreira ◽

Zabalza Bribián ◽

Zambrana Vásquez

Keyword(s):

End Of Life ◽

Environmental Performance ◽

Treatment Plant ◽

Raw Material ◽

Baseline Scenario ◽

Autonomous Community ◽

Management Scenarios ◽

Current Location ◽

Saving Algorithm

The End of life tyres (ELTs) management generates CO2 eq emissions due to the involved processes. Therefore, this research has been conducted with the aim of quantifying the environmental performance of an ELTs management system, in terms of CO2 eq emissions, which includes the recycling operation through the ELTs treatment plant, the transport system and the secondary raw material derived from ELTs processing; apart from other different ELTs recovery methods. To this end, the environmental performance method based on Life Cycle Assessment (LCA) and complemented with the Clarke and Wright's saving algorithm has been developed in order to evaluate and optimise the location of the ELTs treatment plants. To validate the proposed method, the Autonomous Community of Arag?n in Spain is shown as a case study. Different ELTs management scenarios have been analyzed for the Arag?n?s ELTs treatment plant and the optimisation of transportation of the baseline scenario is carried out by means of the Clarke and Wright algorithm. By applying the proposed methodology it has been identified that the current location of the Aragonese treatment plant has benefits in net CO2 eq emissions for the different radii studied with a maximum of 200 km. On the other hand, The Clarke and Wright method has been applied in order to obtain the transportation optimization of the total travelled distance from the 42 collection/sorting centres to the treatment plant. As a result, the travelled distance can be reduced about 15%.

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Life cycle assessment of bio-sludge for disposal with different alternative waste management scenarios: a case study of an olefin factory in Thailand

Journal of Material Cycles and Waste Management ◽

10.1007/s10163-015-0385-8 ◽

2015 ◽

Vol 19 (1) ◽

pp. 545-559 ◽

Cited By ~ 5

Author(s):

Parnuwat Usapein ◽

Orathai Chavalparit

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Waste Management ◽

Management Scenarios

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Sequential Decision Making in Computational Sustainability via Adaptive Submodularity

AI Magazine ◽

10.1609/aimag.v35i2.2526 ◽

2014 ◽

Vol 35 (2) ◽

pp. 8-18 ◽

Cited By ~ 5

Author(s):

Andreas Krause ◽

Daniel Golovin ◽

Sarah Converse

Keyword(s):

Decision Problems ◽

Sequential Decision Making ◽

Sequential Decision ◽

Uncertain Environments ◽

Management Scenarios ◽

Computational Sustainability ◽

The Us ◽

Dynamic Conservation ◽

Myopic Policies

Many problems in computational sustainability require making a sequence of decisions in complex, uncertain environments. Such problems are generally notoriously difficult. In this article, we review the recently discovered notion of adaptive submodularity, an intuitive diminishing returns condition that generalizes the classical notion of submodular set functions to sequential decision problems. Problems exhibiting the adaptive submodularity property can be efficiently and provably near-optimally solved using simple myopic policies. We illustrate this concept in several case studies of interest in computational sustainability: First, we demonstrate how it can be used to efficiently plan for resolving uncertainty in adaptive management scenarios. Secondly, we show how it applies to dynamic conservation planning for protecting endangered species, a case study carried out in collaboration with the US Geological Survey and the US Fish and Wildlife Service.

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Using Bayesian networks to model watershed management decisions: an East Canyon Creek case study

Journal of Hydroinformatics ◽

10.2166/hydro.2005.0023 ◽

2005 ◽

Vol 7 (4) ◽

pp. 267-282 ◽

Cited By ~ 54

Author(s):

Daniel P. Ames ◽

Bethany T. Neilson ◽

David K. Stevens ◽

Upmanu Lall

Keyword(s):

Bayesian Networks ◽

Watershed Management ◽

Graphical Model ◽

Probability Distributions ◽

Management Decisions ◽

Management Scenarios ◽

Northern Utah ◽

Key Variables ◽

Recreational Use

An approach to developing and using Bayesian networks to model watershed management decisions is presented with a case study application to phosphorus management in the East Canyon watershed in Northern Utah, USA. The Bayesian network analysis includes a graphical model of the key variables in the system and conditional and marginal probability distributions derived from a variety of data and information sources. The resulting model is used to 1) estimate the probability of meeting legal water quality requirements for phosphorus in East Canyon Creek under several management scenarios and 2) estimate the probability of increased recreational use of East Canyon Reservoir and subsequent revenue under these scenarios.

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A Better Brew: COVID-19 and Sustainable Outcomes for Coffee Tourism in Ali Mountain, Taiwan

Journal of Responsible Tourism Management ◽

10.47263/jrtm.01-01-06 ◽

2021 ◽

Keyword(s):

Global Economy ◽

Management Strategies ◽

Consumer Preference ◽

Case Study Approach ◽

Management Scenarios ◽

Study Approach ◽

Coffee Farmers ◽

Coffee Farm ◽

Sustainable Futures

COVID-19 pandemic disrupted the global economy in an unprecedented manner, which includes the coffee industry. This paper seeks to provide insights as to how coffee farmers on Ali Mountain, Taiwan transitioned to sustainable futures as an outcome of the pandemic. A case study approach is adopted to explore how COVID-19 influences the coffee business and corresponding tourism implications, along with crisis management strategies for a post-pandemic era. Through a case study approach, the study revealed that the current pandemic has conditioned the perception of risk towards all actors of the coffee estate and thereby causing a shift in consumer preference. Despite the adaptive strategies employed by the business to establish some form of normality, the coffee estate operation in Ali Mountain remains reactive to crises and disaster in the absence of a strategic and holistic plan to deal with situations such as the COVID-19 pandemic. Theoretical and practical suggestions are provided to inspire coffee farm owners in terms of disaster management scenarios, sustainable anti-pandemic strategies, as well as the desire and quest for industry resuscitation and activation.

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