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It is now established by the global scientific community that climate change is a hard reality but the changes are complex in nature and to a great extent uncertain. Global circulation models (GCMs) have made significant contributions to the theoretical understanding of potential climate impacts, but their shortcomings in terms of assessing climate impacts soon became apparent. GCMs demonstrate significant skill at the continental and hemispheric scales and incorporate a large proportion of the complexity of the global system. However, they are inherently unable to represent local subgrid-scale features and dynamics. The first generation approaches of climate change impact and vulnerability assessments are derived from GCMs downscaled to produce scenarios at regional and local scales, but since the downscaled models inherit the biases of their parent GCM, they produce a simplified version of local climate. Furthermore, their output is limited to changes in mean temperature, rainfall, and sea level. For this reason, hydrological modeling with GCM output is useful for assessing impacts. The hydrological response due to change in climate variables in the Amu Darya River Basin was investigated using the Soil and Water Assessment Tool (SWAT). The modeling results show that there is an increase in precipitation, maximum and minimum temperature, potential evapotranspiration, surface runoff, percolation, and water yields. The above methodology can be practiced in this region for conducting adaptation and mitigation assessments. This initial assessment will facilitate future simulation modeling applications using SWAT for the Amu Darya River Basin by including variables of local changes (e.g., population growth, deforestation) that directly affect the hydrology of the region.

The major component of agriculture production includes the type of seed, soil, climatic conditions, irrigation pattern, fertilizer, weed control, and technology used. Soil is one of the prime elements in modern times for agriculture. Soil is also one of the primary and important factors for crop production. The available soil nutrient status and external applications of fertilizers decide the growth of crop productivity (Annoymous, 2017). The upcoming research question that needs to be addressed is What is the application of soil data on soil health management for sustaining agriculture? Driven by the need, the aim of the present study is (a) to explore the soil parameters of a district, (b) compare the values with the standards, and (c) pave a way for mapping the crops with suitability of soil health. This study will not only be beneficial for the district to take appropriate steps to improve the soil health but also would help in understanding the causal relationship among soil health parameters, cropping pattern, and crop productivity.

From the perspective of any nation, rural areas generally present a comparable set of problems, such as a lack of proper healthcare, education, living conditions, wages and market opportunities. Some nations have created and developed the concept of smart villages during the previous few decades, which effectively addresses these issues. The landscape of traditional agriculture has been radically altered by digital agriculture, which has also had a positive economic impact on farmers and those who live in rural regions by ensuring an increase in agricultural production. We explored current issues in rural areas, and the consequences of smart village applications, and then illustrate our concept of smart village from recent examples of how emerging digital agriculture trends contribute to improving agricultural production in this chapter.

As population grows, industries blossom and demand for space increases, cities become the centre point for myriads of challenges for urban administrators. This chapter investigated challenges of urban development, land use changes and environmental impacts resulting from pressure on urban land. The study was primarily qualitative in nature and adopted a case study approach. The city of Ndola was selected for this purpose. Four institutions, namely, Zambia Environmental Management Agency (ZEMA), Water Resources Management Agency (WARMA), Kafubu Water and Sewerage Company (KWSC) and Ndola City Council (NCC), were used for data collection. At each institution, one official was purposively selected by management based on their knowledge and experience on the subject. The primary data were collected mainly through semi-structured questionnaires in face-to-face interviews. The chapter concludes that pressure for development land has resulted in increased demand for change of use, allocation and construction in environmentally vulnerable areas such as the Kafubu and Itawa River basins and their tributaries. This has further resulted in serious threats to the environment due to pollution of water sources from domestic and industrial waste. The chapter though argues that tools for overcoming these challenges are already provided for in the legislation, it is the implementation and effective coordination among agencies charged with planning, land allocation, water distribution and protection of the environment, such as ZEMA, WARMA, KWSC and NCC, which is lacking. Considering the foregoing, it is recommended that land and water administrative systems should be improved through among other things, effective consultation between various agencies involved in environmental management, zero tolerance to illegal land allocation and effective implementation of statutes.

The potential impact of farmer's innovations for the development of food regimes is the topic of this chapter. Two case studies analysed from the perspective of strategic niche management show that there is niche formation visible as an alternative to the dominant modern food regime. These innovations are based upon the active rediscovery of marginalised and often forgotten knowledge and result in effective linkages between old and new knowledge. This retro side of innovations can have a large potential for developing viable alternatives for rural development. Social scientists play an important role in the understanding of the retro side of innovations and its potential and influence on the prevailing knowledge and information systems inside and outside of the scientific domain.

Sustainability of construction project is incomplete without putting into consideration the health and safety of the workforce and other stakeholders working on a project environment. One of the criteria used to evaluate the performance of a sustainable construction project is health. This chapter gives an insight on health as a yardstick for measuring the success of a sustainable construction project, with respect to the health of the personnel working on a project, meaning of health, what constitutes health and health in construction. It also buttresses value of the health of workforce in construction and the need to see health as an important project performance index, as a healthy construction manpower on a construction project will determine and translate the quick delivery of construction project and on time.

A variety of stressors have been identified that threaten the sustainability of water resources. The availability and predictability of water resources are at the core of considering the role of climate for humans and natural ecosystems. The hydrological cycle defines available water resources in a river basin, but to ensure sustainability, it is important to examine other factors within river basin borders influencing the quality and quantity of water. Preparing for pressures and building adaptive capacity require a holistic assessment of the current status and possible future impacts on the freshwater resources.

This chapter describes a case study focusing on the Irrawaddy and Salween Rivers that form a major part of Myanmar's water resources. Despite their importance, these basins have been little studied. The basins were divided according to ecological zones and terrain slope into subareas, and a vulnerability assessment based on 22 indicators was conducted. Indicators represent publicly available global spatial data on temperature, precipitation, hydrology, glaciers, state of wetlands, population distribution, land cover, nitrogen load, and water use. Indicators were based either on model outputs or on land cover and land-use information, representing variably current situations or future projections.

Besides describing the case study, this chapter discusses the challenges and opportunities of linking large-scale spatial modeling results to local-level management and adaptation planning. Challenges arise first from the process of modeling and input data characteristics that manifest as questions of scale and uncertainty. Secondly, the process of distributing the results for the relevant stakeholders (if identified and reached) can turn out to be tricky. Opportunities exist if attention is given to impact of scale and unit of analysis in (especially spatial) data ensuring best applicability in local-scale management. Also improving information management with a systematic approach in identifying knowledge gaps and synthesizing existing information is crucial for improving linkages between researchers, policy-makers, and local decision-makers. Finally, modeling should be developed toward acknowledging the value of the process of modeling rather than the actual results. This would provide possibilities for translating the increasing amounts of information into understanding among the relevant stakeholders.