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Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.

The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.

The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m³ in 2001 to 16.73 million m³ in 2011 and further declined to 15.35 million m³ in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.

None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.

The purpose of this paper is to discuss the prospects of integrated planning and management of the environment in the context of the Water Framework Directive (WFD) and river basin planning.

The paper analyses the legal framework of the WFD and other related water and environmental legislation as well as the provisions for integrative practice in the WFD. Moreover it analyses the potential for integration with issues that are not provided for in the WFD, such as land use. The procedural elements of the WFD and other EU legislation are analysed for identifying common elements within a modern consensus and efficiency based planning mode.

Three aspects of the integrated management framework for water and other environmental resources are highlighted. The first concerns the need for interaction between spatial land use planning and the integrated river basin management plans of the WFD, in order to ensure that land‐use plans do not contradict water goals and that water planning also takes into account broader landscape related aspects. This demands the establishment of platforms for institutional interplay. The second is the need to integrate water goals into sectoral policies. This may be ensured by activating the impact assessment procedures for projects, plans and programmes which may have an impact on water resources and quality. The third concerns elements and procedures which are common to several pieces of legislations (e.g. management plans, monitoring, public participation), and which could benefit from the establishment of common databases, spatial information systems, and methods of communication.

The paper aims to identify key issues related to integration of the WFD with other environmental EU legislation, the associated challenges posed to water management and other environmental management institutions and procedures, and the information systems and methods which may facilitate the integration.

Pesticides have been detected in groundwater in many areas of the State of Washington over recent years. Laws and regulations of federal and state environmental protection and argicultural agencies have developed in response to concern over the public health risk to pesticide exposure. Prevalent views about health risk from pesticide exposure tend to emphasize either the economics and food availability, while downplaying risk of pesticide exposure, or the risk to people, while downplaying economic and food availability issues. The Aquifer Vulnerability Project of the Washington State Department of Ecology is using the Environmental Agency’s PATRIOT model to screen the State of Washington for susceptibility to pesticide leaching to groundwater. PATRIOT models the pesticide loading at the top of the water table when the user selects parameters to run in the model, including the crop and the pesticide.

Cesspits are the means for each house to dispose of wastewater in the Bani Kinanah District (BKD) of Jordan, which creates severe environmental complications. This research aimed to find a suitable site for a wastewater treatment plant (WWTP) in BKD.

Geographic Information System (GIS)-based multicriteria decision analysis (MCDA) was used for an optimal site selection for a sewage treatment plant. Several datasets were obtained to prepare the maps of the criteria influencing the choice of the most suitable site for the WWTP. The analytic hierarchy process was used to apply the weights for each factor.

Five classes of suitability were generated: 0.23% very high suitability, 8.49% high suitability, 47.12% moderate suitability, 37.67% low suitability and 6.49% very low suitability. According to Analytical Hierarchy Process (AHP) results, the elevations, slope and groundwater depth have high importance; where their weights 21%, 19% and 17%, respectively. The most suitable site for establishing a WWTP was found in the northern part of the study area, where it is characterized by relatively low elevations (−90 to −93 m), low slope (0–2.5 %), distance from groundwater level (47–82 m) and the space is sufficient for building the plant (25328 m², 8861 m² and 8586 m²).

This research is limited by the availability of data.

The research is invaluable for decision makers involved in urban planning.

Wastewater treatment plants are essential for communities with limited resources such as Jordan. It has also profound impacts on the surrounding environment.

From the present study, it can be concluded that GIS is essential in urban utility establishment, like urban domestic wastewater treatment site selection. Although the study area has adequate potential areas for establishing WWTP, further assessment of flood vulnerability, wastewater amount quantification, population growth and urban expansion must be seriously considered before implementation.

Tehran’s health-care system is growing, yet it lacks emergency planning procedures. The premise of this study is that the urban environment around a hospital is just as robust as the hospital itself. This study aims to look at hospital resilience in an urban setting to see where it may be improved to keep the hospital operational during a disaster.

The urban resilience (UR) of Amir-Alam Hospital was analyzed in this study using a customized version of the United Nations Office for Disaster Risk Reduction’s City Resilience Profiling Tool. The 34 indications were broken down into five categories.

The result revealed that the hospital’s UR score was 51.75 out of 100, indicating medium resilience. The results of this study enable the decision-makers to determine what measures they may take to improve the hospital’s resilience in terms of its surrounding urban context.

The originality of this research is based on the surrounding urban environment’s resilience as an integral part of hospital resilience.

For many years the analysis of contaminant residues on PWB surfaces has been of major importance to the industry. While the identification of residues left on metallic surfaces has proven to be relatively straightforward, the analysis of organic contamination of similar composition to that of the underlying board surface has not been as successful. Through the use of modern XPS instrumentation, the non‐ionic component of water soluble flux has been identified and differentiated from the chemically similar FR‐4 and soldermask substrates. This paper presents the XPS results for a series of experiments aimed at determining the location and relative concentration of water soluble flux residues on standard surface insulation resistance (SIR) comb patterns. The data show that the water soluble flux residue is not present as a uniform coating on the board surface but appears in localised sites in high concentrations while being absent in other locations. Through more aggressive cleaning procedures the sites of high residue concentration can be significantly reduced.

Unfortunately in India, most landfills are located along the banks of rivers flowing through the cities. The interaction of two big, diverse and delicate ecological systems – rivers and landfills – has been investigated in this paper. During 2000, the estimated quantity of waste generation was more than 9,000 tons per day. This is one of the biggest sources of environmental degradation in Delhi, India's capital. It contributes to river pollution in a significant way through landfill leachate and runoff, especially during the rainy season. Since the 1950s over 12 large landfills have been packed with all sorts of non‐biodegradable and toxic wastes from Delhi. The area covered by landfills is at least 1 percent (14.83 sq.km) of Delhi's total area. All the landfill sites except Tilak Nagar, Hastal and Chattarpur are located close (0‐6 km) to the river Yamuna. Further, these landfills are not engineered sanitary landfills and the waste is dumped at open sites without proper compaction. A high mountain of waste can be seen at all landfill sites without a cover. The leachate produced by landfills finally percolates to the porous ground surface at the landfills or finds its way to nearby drains. A large portion of landfill leachate and runoff produced by these landfill sites finally reaches the Yamuna through ground water flow or surface water flow through the drains. The results of analysis by investigations and environmental mapping during the study clearly indicate that river water quality is affected by the presence of landfill locations, i.e. landfill leachate and landfill surface runoff.

The analysis of groundwater level below the earth surface is focused on current and future scenarios. To analyze the wells under the threat of water level depletion, a study is conducted on the groundwater level using control charts. To improve watershed management, the important criteria are to increase infiltration as well as water storage capacity. There are 15 over-exploited zones in the study area (Dynamic GW Resources 2011). The purpose of this paper is to help in understanding the importance of wells for improving the water level to a certain extent for sustainable development.

The water levels in the wells are located with the help of x, y, z plotting on the ground using ArcGIS software. This water level mapping is done at a micro-watershed level to increase the clarity of information at the micro-level. In this study, the problem of depleted wells is sorted out, and the water level present in depleted wells pre-monsoon and post-monsoon is evaluated for the two years. Also, water level analysis is done using a control chart to find out the critical wells. On the basis of Poisson distribution, C-chart is used here to analyze the quality of wells and the water levels in those wells to be improved.

The outcome of the C-chart helps to track the wells that can be improved further to increase the water level. This paper presents the study of estimation of appropriate sites to be given importance and the rate of water level depletion to be controlled, which also helps to select a site suitable for artificial restoration by targeting groundwater potential zones.

This paper gives an outlook idea of wells that can be improved and the area that should be given more attention. Analyzing water level depletion helps to identify a suitable site for groundwater restoration using a remote sensing and geographical information system. These measures help the government and public sectors for proper planning and management of natural resources.

Hexahedral meshing is one of the most important steps in performing an accurate simulation using the finite element analysis (FEA). However, the current hexahedral meshing method in the industry is a nonautomatic and inefficient method, i.e. manually decomposing the model into suitable blocks and obtaining the hexahedral mesh from these blocks by mapping or sweeping algorithms. The purpose of this paper is to propose an almost automatic decomposition algorithm based on the 3D frame field and model features to replace the traditional time-consuming and laborious manual decomposition method.

The proposed algorithm is based on the 3D frame field and features, where features are used to construct feature-cutting surfaces and the 3D frame field is used to construct singular-cutting surfaces. The feature-cutting surfaces constructed from concave features first reduce the complexity of the model and decompose it into some coarse blocks. Then, an improved 3D frame field algorithm is performed on these coarse blocks to extract the singular structure and construct singular-cutting surfaces to further decompose the coarse blocks. In most modeling examples, the proposed algorithm uses both types of cutting surfaces to decompose models fully automatically. In a few examples with special requirements for hexahedral meshes, the algorithm requires manual input of some user-defined cutting surfaces and constructs different singular-cutting surfaces to ensure the effectiveness of the decomposition.

Benefiting from the feature decomposition and the 3D frame field algorithm, the output blocks of the proposed algorithm have no inner singular structure and are suitable for the mapping or sweeping algorithm. The introduction of internal constraints makes 3D frame field generation more robust in this paper, and it can automatically correct some invalid 3–5 singular structures. In a few examples with special requirements, the proposed algorithm successfully generates valid blocks even though the singular structure of the model is modified by user-defined cutting surfaces.

The proposed algorithm takes the advantage of feature decomposition and the 3D frame field to generate suitable blocks for a mapping or sweeping algorithm, which saves a lot of simulation time and requires less experience. The user-defined cutting surfaces enable the creation of special hexahedral meshes, which was difficult with previous algorithms. An improved 3D frame field generation method is proposed to correct some invalid singular structures and improve the robustness of the previous methods.

The purpose of this paper is to develop a three dimensional (3D) geological model, based on geographic information system (GIS), of the Barwon Downs Graben aquifer system in Victoria, Australia, and to visualize the complex geometry as a decision support tool for sustainable water management.

A 3D visualization of the aquifer is completed, based on subsurface geological modelling. The existing borehole database, hydrogeological data, geological information and surface topography are used to model the subsurface aquifer. ArcGIS 9.2 is employed for two‐dimensional (2D) GIS analysis and for 3D visualization and modelling geological objects computer aided design (GOCAD) 2.5.2 is used. The developed methodology of ArcGIS and GOCAD is implemented for creating the 3D geological model of the aquifer system.

The 3D geomodel of the Barwon Downs Graben provides a new perspective of the complex subsurface aquifer geometry and its relation with surface hydrogeology in a more interactive manner. Considering the geometry, estimated volume of the unconfined Eastern View aquifer is as 0.83 × 10¹⁰ m³ and for the confined aquifer is about 1.02 × 10¹⁰ m³. The total volume of overlying strata of this aquifer is about 3.0⁹ × 10¹⁰ m³. The water resources of the study area are affected by the pumping from this aquifer. This is also significantly influenced by the geometry of the Graben.

The 3D model utilises comprehensive and generally available datasets in the public domain. Although the used 3D geomodelling tools are mainly developed for applications in the petroleum industry, the current paper shows its ability to be adapted to hydrogeological investigations.