Open Access

Water is an eminently important element for societal development. It must be available in sufficient quantity and quality to meet human requirements of consumption, food production and sanitation. The riverine ecosystems are increasingly deteriorated due to human interventions. This leads to changes in the natural flow patterns. The concept of environmental flow started to emerge. Due to the importance of environmental flow in the integrated river basin management, researchers and scientists worldwide have made great efforts towards assessing the environmental flow requirements in river ecosystems. Various tools and techniques were defined. Governmental authorities and water ministries (all over the world including Egypt) have introduced regulations and policies to assure the vitality of environmental flow in river management and water allocation too. Although different methods are available for the environmental flow assessment, those techniques are not practically applied. Implementing the environmental flow in real world is a challenge, due to the lack of political will and the stakeholder support, the institutional barriers and conflicts of interest, and finally the insufficient resources and capacity in environmental management institutions. It is a multidisciplinary and intersectoral process. The present study aims to report the importance of environmental flow regarding the inhabitants’ daily life as well as the overall Egyptian socio-economic, political and health status. It demonstrates the methods of applying the Environmental flow concept in Egypt with a focus on social and political aspects, detailing the current situation in Egypt, and clarifying the obstacles that face the implementation process. The data was collected via local people questionnaires, stakeholders’ interviews and field visits. The study proposes solutions to evade the environmental flow implementation obstacles and overcome current challenges. Moreover, the study predicts future issues and offers solutions to avoid their occurrence.

The present thesis research was focused on the assessment of hydrological drought in the Tempisque-Bebedero catchment system in Costa Rica as part of the TropiSeca project framework. The study area is in the province of Guanacaste and has an extension of 5449.94 Km2, the region is characterized by a defined wet and dry season resulting in a marked seasonality in precipitation and streamflow regime which provokes frequent periods of water deficits considered as drought. The main objective of this research is to conduct an analysis on hydrological drought in the study area through the understanding of the behavior of hydrological cycle and its implications for the rice sector by applying different drought indices such as Standardized Precipitation Index (SPI) and Streamflow Drought Index (SDI). From the values obtained in the calculation of drought indices were studied the temporal distribution and spatial distribution based on the characterization of drought periods in terms of frequency, severity, duration, and seasonality. For the characterization of meteorological drought in the study area an approach based on area average precipitation was implemented to calculate a regional representative SPI for each sub-basin, in contrast, hydrological drought was assessed using only two streamflow gauges data provided by the ICE from 1973 until 2003. As result, Tempisque showed longer drought periods in comparison with Bebedero whose mean duration was lower but the number of drought events were more frequent. In terms of spatial distribution, it could be found that the upper basin experienced extreme meteorological drought periods at high time scales tied to a severe streamflow deficit probably justified by its low permeability due to geological characteristics that allow a slow movement of groundwater. Additionally, one of the aims of this thesis was to analyze the existence of correlation between precipitation and streamflow anomalies with rice yield and, to determine the influence of ENSO in climate variability using Sea Surface Temperature indices; in this phase of the research was found that climate patterns in the catchment system exhibited a significant influence by ENSO events with a significance level of 99% (r > 0.7) showing an important dependence of meteorological drought periods presented during the period 1980-2016. In terms of temporal behavior of rice yield anomalies was revealed moderate correlation coefficients (r < 0.4) in both watersheds due to in most of the cases the response of water deficit did not have significant impact in terms of magnitude as expected; in some periods in which drought period was present categorized as mild-drought, rice yield had a considerable decreasing compared with those in which was categorized as extreme event; these differences can be justified mostly because crop yield depends not only on weather, but also on variety of seed used and its coping capacity to periods of water scarcity, fertilizers, soil moisture, farming techniques, sowing date, temperature, irrigation, use of pesticides etc. The results of this thesis can be used to motivate future researches in the elaboration of crop models to predict yields based on physiological processes during plant development considering water requirement to take enough measures to mitigate the effects of drought periods. Furthermore, it should be considered to implement a drought monitor system in the area as an important tool of early warning system and as an indicator for the efficient water resources management.

In Sierra Leone, at the moment 10 out of the total 14 districts are faced with the problem of large-scale land investments for industrial agriculture (oil palm, sugarcane…). The production is mainly for the local, regional and world market. There are quite many of these investments in the planning stage, while some are extending their operations by taking more land from communities or are already at the production stage. Studies and media reports have claimed a number of negative impacts felt in communities hosting these companies, ranging from loss of land, food insecurity, increase in poverty to loss of livelihoods, environmental degradation as well as social and cultural problems. The goal of this thesis is to examine the impacts of the operations of “Socfin Agriculture Company” on food security of local communities in Malen Chiefdom, Pujehun District of Sierra Leone. Both quantitative and qualitative research methods are used for data collection, analyses, and interpretation of results. The research uses household income and expenditure to compare household food security before and after the start of the company’s operations. It examines consequences of community’s loss of land to support household food production versus casual wage earn from employment created by the company to meet household food security. The results show a loss of household’s income sources and a significant decrease in households’ income. Households’ food crop production has reduced accompanied by a complete loss of cash crop farming. Households affected by the operations of the company have lost access to land and other natural resources that support food production. Furthermore, the company employs very few people in comparison to the total population of affected communities. Calculation of total wage earn from employment by the company cannot meet the staple food (rice) needs of the households. Also, households claimed a host of unfilled promises made by the company and national government at the onset of the operations of the company. In conclusion, household food production is the most significant determinant for household food security, with regards to food availability, accessibility, utilization and stability of supply. Therefore, national government should carefully study and develop a framework that addresses food security of households impacted by the operations of the rapidly growing large-scale land investment companies and ensure a fair share of the local community in the economic development of the country and suggesting ways of improving access rights in the context of tenure.

Intelligent use of energy is one of the keys to success for an energy revolution. To meet this challenge, smart meters are suitable tools because INTELLIGENT use of energy means not only to use efficiency technology, but also to determine load shifting potentials and use them accordingly. Especially farms with high power consumption are becoming increasingly concerned about reducing energy costs due to rising energy prices and need a systematic analysis of their operational energy flow. To find solutions for farms, the NaRoTec e.V., the TH Köln, and the Machinery Ring Höxter-Warburg have joined forces with partners and launched the project "Intelligent Energy in Agriculture", which is funded by the state of NRW. The aim of the project is to be able to give individual advice recommendations for energy optimization of agricultural holdings. This will be achieved inter alia through an operational energy audit and current measurements in different operating ranges. To achieve this, smart meters were installed in selected energy-intensive dairy and pig farms. As part of the project, the installed smart meter information about the consumption of various plants and their components were analyzed, regularities and adaptability in loading history identified, and the energy efficiency of the equipment and systems used verified (especially pumps, ventilators, feeding systems). Then recommendations were formulated to shift electricity-intensive processes to times with low electricity costs and high intrinsic power production. The resulting findings will be used as the basis for intelligent energy management in the further course of the project. Overall, efficiency streamlining measures in the field of ventilation and lighting systems, flexible dry feeding systems by decoupling power purchase and consumption, as well as energy savings and related CO2 savings were determined.

Die Dokumentation und Untersuchung von Massenbewegungen ist der entscheidende Schritt, um die Gefahr, die von ihnen ausgeht, zu identifizieren und im nächsten Schritt zu minimieren. Vor allem in Bergregionen kann dies im Extremfall Menschenleben retten. Folglich untersucht diese Arbeit auf Grund bestehender Gefahr die räumliche Verteilung von Massenbewegungen in den drei iranischen Provinzen Alborz, Qazvin und Teheran. In Anbetracht der immer weiter wachsenden Städte im erdbeben- und somit massenbewegungsgefährdeten Elbursgebirge wird mittels zweier quantitativer Analysen der isolierte Einfluss von straßen- und schienengebundener Verkehrsinfrastruktur auf Massenbewegungen (in den drei Provinzen) untersucht. Beide Analysen vergleichen ausschließlich die lokale Häufung von Massenbewegungen mit dem vorhandenen Straßen- und Schienennetz: in der ersten Analyse durch das Vergleichen stattgefundener Massenbewegungen innerhalb von Teilgebieten des untersuchten Gebiets, in der zweiten Analyse werden die Häufungen in verschiedenen Abständen zu Straßen erfasst. Anknüpfend an die zweite Analyse wird eine Bewertung der Häufigkeiten getätigt. Es ergeben sich folgende wesentliche Erkenntnisse aus dieser Bachelorarbeit: • Die Aussagekraft der Analysen kann höchstens so groß sein wie die Richtigkeit, Vollständigkeit und Detailliertheit der zur Verfügung gestellten Datenbanken • Die verhältnismäßig große Fläche des Untersuchungsgebietes stellt eine hohe Fehlerquelle dar (z.B. durch das große Datenvolumen) • Eine Anfälligkeitsanalyse auf Grund eines isoliert betrachteten Auslösefaktors ist mit vielen Fehlern und Annahmen behaftet (z.B. muss zunächst einmal angenommen werden, dass Massenbewegungen nicht durch andere Faktoren ausgelöst werden) • Eine erhöhte Anfälligkeit des Untersuchungsgebietes gegenüber Massenbewegungen innerhalb von 50 m Abstand zu Straßen konnte durch die in dieser Arbeit beschriebenen „Straßenpufferanalyse“ nachgewiesen werden. Die Analysen sind mit dem Programm ArcGIS durchgeführt. Ihre detaillierte Beschreibung ermöglicht es dem Leser, die Analysen weiterzuführen oder mit anderen Parametern zu wiederholen. Weiterführende Analysen beispielsweise in Form einer Risikokarte verhelfen den Menschen, Sachgüter und die Umwelt z.B. durch nachhaltige Bebauungspläne zu schützen.