Ankit Agarwal

Wavelet Spectrum and Self-Organizing Maps-Based Approach for Hydrologic Regionalization -a Case Study in the Western United States

Hydrologic regionalization deals with the investigation of homogeneity in watersheds and provides a classification of watersheds for regional analysis. The classification thus obtained can be used as a basis for mapping data from gauged to ungauged sites and can improve extreme event prediction. This paper proposes a wavelet power spectrum (WPS) coupled with the self-organizing map method for clustering hydrologic catchments. The application of this technique is implemented for gauged catchments. As a test case study, monthly streamflow records observed at 117 selected catchments throughout the western United States from 1951 through 2002. Further, based on WPS of each station, catchments are classified into homogeneous clusters, which provides a representative WPS pattern for the streamflow stations in each cluster.

Rare flash floods and debris flows in southern Germany

Flash floods and debris flows are iconic hazards in mountainous regions with steep relief, high rainfall intensities, rapid snowmelt events, and abundant sediments. The cuesta landscapes of southern Germany hardly come to mind when dealing with such hazards. A series of heavy rainstorms dumping up to 140 mm in 2 h caused destructive flash floods and debris flows in May 2016. The most severe damage occurred in the Braunsbach municipality, which was partly buried by 42,000 m3 of boulders, gravel, mud, and anthropogenic debris from the small catchment of Orlacher Bach (~6 km2). We analysed this event by combining rainfall patterns, geological conditions, and geomorphic impacts to estimate an average sediment yield of 14,000 t/km2 that mostly (~95%) came from some 50 riparian landslides and channel-bed incision of ~2 m. This specific sediment yield ranks among the top 20% globally, while the intensity-duration curve of the rainstorm is similarly in the upper percentile range of storms that had triggered landslides. Compared to similar-sized catchments in the greater region hit by the rainstorms, we find that the Orlacher Bach is above the 95th percentile in terms of steepness, storm-rainfall intensity, and topographic curvatures. The flash flood transported a sediment volume equal to as much as 20-40% of the Pleistocene sediment volume stored in the Orlacher Bach fan, and may have had several predecessors in the Holocene. River control structures from 1903 and records of a debris flow in the 1920s in a nearby catchment indicate that the local inhabitants may have been aware of the debris-flow hazards earlier. Such recurring and destructive events elude flood-hazard appraisals in humid landscapes of gentle relief, and broaden mechanistic views of how landslides and debris flows contribute to shaping small and deeply cut tributaries in the southern Germany cuesta landscape.

Design and analyses of earth-air heat exchange systems for space cooling

Temperature lag between atmosphere and earth can be harnessed using earth air heat exchange (EAHE) systems. In general, temperature difference between atmosphere and soil can be employed both for cooling and heating, during summer and winter, respectively. In this paper, the adopted and implemented 1-dimensional heat transfer models are validated with the performed experiment at IIT Rajasthan. The measured soil and air temperature are used for this purpose. The analyses of measured air temperature in EAHE indicate the achieved cooling along the length of EAHE at the considered depth. Furthermore, detailed 3-dimensional RANS based CFD analyses are performed for a better understanding and insight to this cooling process. The measured and model analyzed soil temperature has indicted the requirement of further improvement in the adopted soil model. Finally, an integrated semi-permanent structure with EAHE is analyzed. The CFD analyzed temperature and flow distribution in the semi-permanent structure reveals the influence of position of cooled air injection from EAHE.

Time reversal mirror: Temporal and spatial focusing tool

Time reversal is a technique to focus waves, both temporally and spatially, through an inhomogeneous medium. The incident pressure wave is time reversed and re-transmitted from an array of transducers to focus the pressure on a source or at a point target which may be reflective. This array of sensors is called time reversal mirror (TRM). In this paper, we have studied the spatial and the temporal focusing properties of different TRM array geometries. Two dimensional as well as three dimensional geometries for different configurations and environment have been studied. It has been found that there exists optimal array configuration for both temporal and spatial focusing.

Optimal Design of Hydrometric Station Networks Based on ComplexNetwork Analysis

Hydrometric networks play a vital role in providing information for decision-making in water resource management. They should be set up optimally to provide as much information as possible that is as accurate as possible and, at the same time, be cost-effective. Although the design of hydrometric networks is a well-identified problem in hydrometeorology and has received considerable attention, there is still scope for further advancement. In this study, we use complex network analysis, defined as a collection of nodes interconnected by links, to propose a new measure that identifies critical nodes of station networks. The approach can support the design and redesign of hydrometric station networks. The science of complex networks is a relatively young field and has gained significant momentum over the last few years in different areas such as brain networks, social networks, technological networks, or climate networks. The identification of influential nodes in complex networks is an important field of research. We propose a new noderanking measure – the weighted degree–betweenness (WDB) measure – to evaluate the importance of nodes in a network. It is compared to previously proposed measures used on synthetic sample networks and then applied to a real-world rain gauge network comprising 1229 stations across Germany to demonstrate its applicability. The proposed measure is evaluated using the decline rate of the network efficiency and the kriging error. The results suggest that WDB effectively quantifies the importance of rain gauges, although the benefits of the method need to be investigated in more detail.

Complex networks for tracking extreme rainfall during typhoons

Reconciling the paths of extreme rainfall with those of typhoons remains difficult despite advanced forecasting techniques. We use complex networks defined by a nonlinear synchronization measure termed event synchronization to track extreme rainfall over the Japanese islands. Directed networks objectively record patterns of heavy rain brought by frontal storms and typhoons but mask out contributions of local convective storms. We propose a radial rank method to show that paths of extreme rainfall in the typhoon season (August-November, ASON) follow the overall southwest-northeast motion of typhoons and mean rainfall gradient of Japan. The associated eye-of-the-typhoon tracks deviate notably and may thus distort estimates of heavy typhoon rainfall. We mainly found that the lower spread of rainfall tracks in ASON may enable better hindcasting than for westerly-fed frontal storms in June and July.