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The purpose of this paper is to introduce and discuss 11 strategies and 11 sets of tools to provide a knowledge background on how native people of Iran have come up with innovative solutions to create a sustainable and comfortable living environment within the confinement of their homes, in harsh environment of Iran’s hot-arid and hot-humid regions.

These strategies include density, building orientation, introversion, design for four seasons, using local materials, using the ground’s thermal capacity, natural wind induced ventilation, using walls’ thickness and porosity, Panãm (insulation), using special native additive elements and integration of water and plants into the building. Discussed tools include water, courtyard, Showãdãn, Bahãr-khãb, roof, korsi room, ratio and Pãyãb, Sardãb and Howz-khãneh, Shanãshil, Bãdgir and Eivãn.

In conclusion, interrelations between these strategies and tools are illustrated in order to provide a collection of guidelines and inspirations for those involved in the building industry in Iran and Middle East to come up with innovative solutions for creating a sustainable and comfortable living environment in this region’s climates.

This paper provides a collection of guidelines and inspirations for those involved in the building industry in Iran and Middle East to come up with innovative solutions for creating a sustainable and comfortable living environment in this region’s climates.

Lower Indus Basin (LIB) region is the food basket of Pakistan, and climatic variation in response to global warming might severely affect the crop production and, thus, food security and ultimately to the economy of the country.

The authors analyzed the previous climatic factors data series of LIB region to investigate the past and present climatic trends and to predict the future changes. Climatic changes were monitored by studying temperature, rainfall and relative humidity (RH) dynamics at two locations (Lahore and Multan) of the LIB region, Pakistan, by using data from 1953 to 2006. The data were divided into two equal halves (1953-1979 and 1980-2006) and statistically compared for the aforementioned weather parameters.

The results suggested that mean minimum temperature (MMT) and overall mean temperature in winter were significantly increased, whereas few summer months had also experienced the reduction in both temperatures. However, few minor changes were also observed for the mean maximum temperature at both locations. The rainfall amount did not vary significantly at both locations, with the exception for the months of February and June at Lahore location, which experienced relatively higher rainfall in latter period (1980-2006). However, morning and evening RH was significantly increased at Multan throughout the year and for some selected months (February-March and May-July) at Lahore. However, the comparison of climatic data of both temporal halves suggested either dryer weather during winter months because of increase in MMT and/or increase in area under irrigated agriculture, resulting in more evaporation at both locations. Similarly, the data also indicated the early monsoon rainfall patterns in summer and late western depression rainfall spell during winter, which played key role to affect the crop yield because of irregular rain events.

The current manuscript would be very useful for the disaster management authorities and agriculture sector to predict the future irregular trends of climate change in Pakistan. Moreover, current findings can be important tool toward the management of climatic changes issues (i.e. floods and dryer spells) and to formulate the future strategies for the improved crop growth in arid and/or semi-arid developing nations such as Pakistan.

The current manuscript, for the very first time, provided detailed insights into key climatic factors changes for past seven decades, into the severely climate change-affected areas of the world. Furthermore, agricultural sector is likely to be severely affected because of minor seasonal change in temperature and moisture, and have a strong food security impact, which can be reflected with current data set to cope with both ecological and economic impacts of climate change in Pakistan. The current findings would be useful to manage the climate change-related issues in Pakistan, including the social, environmental and economic.

The electronics industry has grown over the past 50 years, mostly in developed countries, contributing to their economic progress. Particularly in the Baja California State located in the northwest of Mexico, these companies have prospered in the industrial parks of Mexicali considered as an arid zone and Ensenada, a port and city on the Pacific Ocean considered as a marine region. In both environments, during winter and summer, the climate impacts on indoor conditions, affecting humidity and temperature, and generating corrosion which decreases the yields of the electronic devices and industrial machines. The purpose of this paper is to investigate the effects of corrosion on electronic devices in these arid and marine environments.

The paper determines the corrosivity levels inside industrial plants of desertic and coast regions in Mexico, to evaluate the deterioration of electronic metals.

Relative humidity, temperature, time of wetness, are recorded and related to the corrosion process in arid and marine environments.

Some missing information about air pollution in Ensenada from some Environmental Monitoring Stations was a limitation, and the need to use complex atmospheric techniques.

The paper shows that it is very important to control metallic corrosion generated by climate factors and air pollution in indoor industrial plants: the corrosion of electronic devices and equipments depletes their yield and can lead to loss‐making failures.

This chapter describes the climatic setting of the Aral Sea region, investigates how the climate might change during the 21st century, and discusses potential impacts on water resources. Temperature and precipitation fields are analyzed to describe the mean climate for the Aral Sea region. Composite analysis has been employed on the precipitation field from the Global Precipitation Climatology Project (GPCP v2.2) to assess the spatial pattern of changes in precipitation during the last several decades. Furthermore, temperature and precipitation projections available from the 2007 Intergovernmental Panel on Climate Change report are synthesized to examine the nature of climate change during this century.

Cold season precipitation has increased during recent decades, particularly over the mountainous terrain east of the Aral Sea. Climate models also project increases (5−20%) in winter precipitation during the 21st century; however, several models suggest decreases (0 to −15%) in precipitation during summer. Despite the increases in cold season precipitation, the large increases in temperature (4°C) during the 21st century are likely to cause increased evaporation which could exacerbate the regional water budget deficit. This may constrain the water supply in the region, particularly during summer and autumn when water demand is highest. To fully understand the impacts of future climate change on regional water resources, hydrologic models that include anthropogenic management of water will be required.

The agricultural resources of China vary with its different geographic regions. China is divided into six geographic regions and the climate, flora and fauna of each are described, together with the ecological relationship between them. Suggestions are given of how best to exploit, utilise and protect these resources.

This paper aims to focus on the concept of agritourism and how its development and promotion can contribute to the achievement of a number of sustainable development objectives, including those related to reducing inequalities, fighting poverty, sustainable consumption and production and ensuring food security.

Professionals and experts in the fields of agriculture, aquaculture and tourism were interviewed to better understand the challenges of agritourism and how it could contribute to the achievement of sustainable development objectives in mountainous and arid regions.

The results highlight the environmental, economic and social benefits that can be derived from the practice of agritourism and how this can be a distinguishing feature for a country in which conventional tourism is struggling to develop. participation in farm life for various activities is a key element of any agritourism activity. The results also confirmed the various benefits of the practice, both for farmers and tourists and that it contributed directly to the achievement of certain objectives such as poverty alleviation, reduction of inequalities, food security and preservation of water resources.

This research has certain limitations, the first being the fact that it is a qualitative study and the results cannot be extrapolated; second, it only took into account the point of view of a certain category of people, namely, experts and tourism professionals.

New elements were also identified, in particular, concerning certain perceived risks related to the practice of agritourism such as bio-piracy or damage to national heritage, as well as the appropriation and use of ancestral practices for commercial purposes by other countries.

The contemporary urban fabrics in hot climate regions have overextended urban spaces that face problems of high heat stress due to intense solar radiation and air temperature and that cause the pedestrians to abandon the urban spaces due to thermal discomfort. This work introduced the shading effects as one of the prime factors that contribute to restore thermal comfort and attract pedestrian activities. The purpose of this paper is to identify the proportional limits of the urban space to maintain feasible shades for pedestrian activities.

The urban space abstracted into a floor surrounded by four walls was then classified into four typologies. The assessment tool was developed to calculate the shading efficiency at the floor level of urban space. The width and the length of the floor equally was expanded in the range (0.5/0.5 to 4.0/4.0). The average shading efficiency of the expanded typologies was calculated along three intervals (Morning, midday and afternoon). The results were then analyzed, and critical guidelines were established that could be utilized in the design of the futuristic urban space and provide amendments to the existing urban space.

The paper concluded that the performance of urban spaces was not due to the accumulative performances of all walls but rather due to the combination specific effective walls in response to the interactive variations shading patterns concerning daily pedestrian activities. Any large shallow urban space could be segmented into multiples of the recommended typologies by a vertical landscape.

It is the first study that identified the expansion limit of the urban space that maintains feasible shades for the pedestrian. A further value of this study is establishing guidelines to the urban designers for the effective configurations of the urban space in terms of shading. These guidelines could be utilized in the design of the futuristic urban space and provide amendments to the existing urban space.

Modeling Wastewater Treatment Plant (WWTP) constitutes an important tool for controlling the operation of the process and for predicting its performance with substantial influent fluctuations. The purpose of this paper is to apply an artificial neural network (ANN) approach with a feed-forward back-propagation in order to predict the ten-month performance of Touggourt WWTP in terms of effluent Chemical Oxygen Demand (CODeff).

The influent variables such as (pHinf), temperature (TEinf), suspended solid (SSinf), Kjeldahl Nitrogen (KNinf), biochemical oxygen demand (BODinf) and chemical oxygen demand (CODinf) were used as input variables of neural networks. To determine the appropriate architecture of the neural network models, several steps of training were conducted, namely the validation and testing of the models by varying the number of neurons and activation functions in the hidden layer, the activation function in output layer as well as the learning algorithms.

The better results were achieved with an architecture network [6-50-1], hyperbolic tangent sigmoid activation functions at hidden layer, linear activation functions at output layer and a Levenberg – Marquardt method as learning algorithm. The results showed that the ANN model could predict the experimental results with high correlation coefficient 0.89, 0.96 and 0.87 during learning, validation and testing phases, respectively. The overall results indicated that the ANN modeling approach can provide an effective tool for simulating, controlling and predicting the performance of WWTP.

This work is the first of its kind in this region due to the remarkable development in terms of population and agricultural activity in the region, which drove to the increase of water pollutants, so it is necessary to use the modern technologies to modeling and controlling of WWTP.

The purpose of this study is to analyze the impact of climate change and variability on agricultural production in Middle East and North Africa region (MENA) where the deleterious impacts of climate change are generally projected to be greatest.

The study used a production function model using Fixed Effect Regression (FER) analysis and then using marginal impact analysis to assess the impact of climate change and variability on agricultural production. Therefore, the study utilized panel data for the period 1961-2009 pooled from 20 countries in MENA region.

Results showed that 1 per cent increase in temperature during winter resulted in 1.12 per cent decrease in agricultural production. It was also observed that 1 per cent increase in temperature variability during winter and spring resulted in 0.09 and 0.14 per cent decrease in agricultural production, respectively. Results also indicated that increasing precipitation during winter and fall season and precipitation variability during winter and summer seasons had negative impact. The estimated parameters of square temperature and precipitation indicated that climate change has significant nonlinear impacts on agricultural production in MENA region.

Despite there are many studies on the impact of climate change on agricultural production, there is a lack of publications to address the economic impact of both climate change and variability on agricultural production in MENA region. Thus, these results are more comprehensive and more informative to policymakers than the results from field trials.

Senegal’s history since the nineteenth century has favored collective ownership and work, whether state-run cooperatives or community-based organizations (CBOs). This chapter first examines the history of resistance to cooperatives imposed by the French colonial administration and Senegal’s independent state until 1980. The primary separate community organizations were, and are, within daaras: communities based on Islamic spiritual principles. The chapter then explores today’s CBOs, many of which are faith-based, that resist neoliberal approaches to development, again, through community-based principles. CBOs have grown within the space that state control once occupied, and have as much do with indigenous structures and faith-based principles as they do with globally recognized models of development. These foundational philosophies shape the ways people organize themselves, choose their shared goals, and elect their leaders. To discuss contemporary trends in community organization, the chapter uses ethnographic examples from two present-day communities, one a faith-based daara and the other a five-village CBO. This history and contemporary examples show that locally grown organizations resist easy definitions of colonial, state, or neoliberal development, and take control over the ways they organize their communities.