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A coastal lagoon is a landform that is influenced by natural processes and human activities. All human activities at the upstream, particularly agriculture and cultivation bring soil, waste, and other materials to the downstream area through the river drains into the lagoon. Even though its position is inland of water bodies, the lagoon is still affected by waves and winds from the sea. Additionally, coastal lagoon will be the depository place for sedimentation from the upland area. Segara Anakan (SA), which is located in Indonesia, is an example of a coastal lagoon area, which has a unique biophysical characteristic. The region has a great natural ability to ensure the sustainability of the interrelationships between terrestrial, estuarine and marine ecosystems in harmony and balance as a habitat for flora and fauna. The region is an area of migration of various types of protected animals and it is a place of breeding for diverse species of the shrimp and fish, which have a highly economical value. Segara Anakan lagoon (SAL), currently experiencing acceleration narrowed on its area due to a very intensive sedimentation from the mainland. The research aims to answer the question of how ecological dynamic occurs in the SAL area due to sedimentation. Achieving the objectives of this study required examining the morphology and land use changes with multitemporal remote sensing approaches. While, to assess the role of community participation and planning management strategies is using qualitative descriptive methods and SWOT analyze. The using of multitemporal remote sensing Landsat images is possible to analyze the morphological and land use changes with different time and sensors. These Landsat has image accuracy about 92.66%. It can be used for image interpretations resulting 13 classes of land use. The morphodynamics of SAL indicated by the changes of area of lagoon and accreted land and also the distance of coastlines during the periods 1979-2013. In addition, the land use or land cover also changes during that time. The bigger portions of land use changes are in the tropical and mangrove\'s forests. There are distinctive forms of participation in conservation efforts. The upstream community involvement in conservation tends to be different participating in the way of ideas, money, materials, properties, skills and expertise or social activities. In addition, the community at downstream area has a sufficiently high level of participation in environmental conservation. There are also strong relationships between the level of education and level of income and basic knowledge in conservation with the participation of SA conservation. The ecological dynamics of the SAL area are described with a historical time line. It is divided into three time periods: the 1970s - 1980s, the 1990s and from 2000 onwards. Each of these has occurrences that can lead to changes in the environment. The implementation of appropriate conservation technique can reduce the sedimentation rate. Hence, the synergic coordination measures between upstream and downstream regions are necessary in the future. Increasing community awareness and participation in the conservation by improving educational sector, providing information, and applying sustainable development land use are the ways to match human activities with the temporal and spatial dynamics of the coastal resources.

Die Zeitverzögerung bei der Streuung in zwei Dimensionen ist eine Funktion von zwei unabhängigen Parametern. Wenn diese Funktion Sattelpunkte aufweist, so hat der entsprechende Funktionswert theoretisch ein unendlich großes Gewicht in der Wahrscheinlichkeitsverteilung der Zeitverzögerungen. Dieser Zusammenhang soll analytisch und numerisch nachgewiesen und detailliert beschrieben werden. Insbesondere soll die klassische und quantenmechanische Wahrscheinlichkeitsverteilung der Zeitverzögerung für ein Modellsystem aus mehreren nichtüberlappenden zentralsymmetrischen Potentialen berechnet werden. Erwartete Ergebnisse sind Aussagen über die Parameterwerte, bei denen der oben genannte Effekt zu beobachten ist sowie Näherungsformeln für die Verteilung der Zeitverzögerung in der Nähe der Singularitäten. Außerdem soll die quantenmechanisch zu erwartende Glättung der Verteilungsfunktion quantitativ beschrieben werden. / For scattering problems in two dimensions, time-delay is a function of two independent parameters. If this function features saddle points, the corresponding function value should theoretically have an infinite weight in the probability distribution of time-delays. This correlation shall be confirmed analytically and numerically and studied in-depth. In particular, the classical and quantum-mechanical probability distribution of time-delays shall be calculated for a model system consisting of multiple non-overlapping potentials with rotational symmetry. We expect to obtain information about the parameter values where the aforementioned effects can be observed, and analytical approximations for the time-delay distribution near the singularities. Furthermore, the smoothing of the distribution in the quantummechanical regime shall be quantified.

The topology of interactions in network dynamical systems fundamentally underlies their function. Accelerating technological progress creates massively available data about collective nonlinear dynamics in physical, biological, and technological systems. Detecting direct interaction patterns from those dynamics still constitutes a major open problem. In particular, current nonlinear dynamics approaches mostly require to know a priori a model of the (often high dimensional) system dynamics. Here we develop a model-independent framework for inferring direct interactions solely from recording the nonlinear collective dynamics generated. Introducing an explicit dependency matrix in combination with a block-orthogonal regression algorithm, the approach works reliably across many dynamical regimes, including transient dynamics toward steady states, periodic and non-periodic dynamics, and chaos. Together with its capabilities to reveal network (two point) as well as hypernetwork (e.g., three point) interactions, this framework may thus open up nonlinear dynamics options of inferring direct interaction patterns across systems where no model is known.