Massively parallel signal processing challenges within a driver assistant prototype framework first case study results with a novel MIMO-radar

Climate changes play a significant role in the crops plantation process. Such changes affect the suitability of planting of many crops in their traditional plantation dates in a given place. In contrary, many of such crops become more suitable for planting at other new dates in their traditional places or in other new places regarding the climate changes. This chapter presents a fuzzy-based approach for optimizing crops planting dates with the ongoing changes in climate at a given place. The proposed approach incorporates four phases. The first phase is concerned with climate data preparation. And the second phase is concerned with Defining suitability membership functions. While in third phase is responsible for automatic fuzzy clustering. Finally, the fourth phase is responsible for fuzzy selection and optimization for the more suitable plantation dates for each crop. This chapter consists of an introduction, related works, the proposed approach, a first case study, a second case study, results discussion, future research directions and finally the chapter conclusion.

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Fuzzy-Based Approach for Reducing the Impacts of Climate Changes on Agricultural Crops

Climate Change and Environmental Concerns ◽

10.4018/978-1-5225-5487-5.ch005 ◽

2018 ◽

pp. 88-110

Author(s):

Ahmed M. Gadallah ◽

Assem H. Mohammed

Keyword(s):

Climate Changes ◽

Future Research ◽

Second Phase ◽

Climate Data ◽

Planting Dates ◽

Third Phase ◽

First Case ◽

Study Results ◽

Future Research Directions

Climate changes play a significant role in the crops plantation process. Such changes affect the suitability of planting of many crops in their traditional plantation dates in a given place. In contrary, many of such crops become more suitable for planting at other new dates in their traditional places or in other new places regarding the climate changes. This chapter presents a fuzzy-based approach for optimizing crops planting dates with the ongoing changes in climate at a given place. The proposed approach incorporates four phases. The first phase is concerned with climate data preparation. And the second phase is concerned with Defining suitability membership functions. While in third phase is responsible for automatic fuzzy clustering. Finally, the fourth phase is responsible for fuzzy selection and optimization for the more suitable plantation dates for each crop. This chapter consists of an introduction, related works, the proposed approach, a first case study, a second case study, results discussion, future research directions and finally the chapter conclusion.

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Analysis and management of unexpected and cumulative climate risks in Switzerland

10.5194/egusphere-egu2020-13341 ◽

2020 ◽

Author(s):

Raphael Neukom ◽

Nadine Salzmann ◽

Christian Huggel ◽

Veruska Mucchione ◽

Sabine Kleppek ◽

...

Keyword(s):

Case Studies ◽

Quantitative Methods ◽

National Level ◽

Swiss Alps ◽

Protective Capacity ◽

Subsequent Increase ◽

Climate Risks ◽

First Case ◽

Study Results

<div> <p>The study on &#8216;climate-related risks and opportunities&#8217; of the Swiss Federal Office for the Environment (FOEN) provides a comprehensive analysis of climate-related risks and opportunities for Switzerland until 2060. The synthesis of the study results has been the basis for the development of adaptation strategies and measures in Switzerland. The study also identifies knowledge gaps and related missing planning tools for risks, which are difficult to assess as they typically have a low probability of occurrence but have potentially very high impacts for society and/or the environment. Such risks refer in particular to risks, which cumulate through process cascades or are triggered by meteorological/climatic extremes events, which return within shorter time intervals than expected.</p> <p>To respond to these gaps, a collaborative effort including academic and government institutions at different administrative levels is undertaken in order to explore and analyse the potential of such cumulative risks and actions needed to manage them in Switzerland. The project focuses on two case studies, which are developed in consultation with stakeholders from science, policy and practice at the national and sub-national level.</p> <p>The case studies analyse risks triggered by meteorological events based on projected and recently published Swiss Climate Scenarios CH2018, considering rare but plausible scenarios where such triggering events cumulate and/or occur in combinations.</p> <p>We discuss international terminologies and experience with unexpected and cumulative extreme events and put them in relation to the Swiss context. Specifically, we present the cascading processes of the first case study, which focuses on the protective forests in the eastern Swiss Alps. Potential reduction of the protective capacity caused by extreme drought and heat and subsequent increase of risks caused by multiple natural hazards, such as fires and mass movements (snow avalanche, landslide), are assessed in this case study using semi-quantitative methods of risk analysis.</p> </div>

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