An Updated Review on Quantitative and Qualitative Analysis of Water Pollution in West Flowing Tapi River of Gujarat, India

Multiple and intensive land use: case studies in Hong Kong

Abstract. Excessive sediment discharge in karstic regions can be highly disruptive to water treatment plants. It is essential for catchment stakeholders and drinking water suppliers to limit the impact of high sediment loads on potable water supply, but their strategic choices must be based on simulations integrating surface and groundwater transfers and taking into account possible changes in land use. Karstic environments are particularly challenging as they face a lack of accurate physical descriptions for the modelling process, and they can be particularly complex to predict due to the non-linearity of the processes generating sediment discharge. The aim of the study was to assess the sediment discharge variability at a water treatment plant according to multiple realistic land use scenarios. To reach that goal, we developed a new cascade modelling approach with an erosion-runoff geographic information system (GIS) model (WaterSed) and a deep neural network. The model was used in the Radicatel hydrogeological catchment (106 km2 in Normandy, France), where karstic spring water is extracted to a water treatment plant. The sediment discharge was simulated for five design storms under current land use and compared to four land use scenarios (baseline, ploughing up of grassland, eco-engineering, best farming practices, and coupling of eco-engineering/best farming practices). Daily rainfall time series and WaterSed modelling outputs extracted at connected sinkholes (positive dye tracing) were used as input data for the deep neural network model. The model structure was found by a classical trial-and-error procedure, and the model was trained on 2 significant hydrologic years. Evaluation on a test set showed a good performance of the model (NSE = 0.82), and the application of a monthly backward-chaining nested cross-validation revealed that the model is able to generalize on new datasets. Simulations made for the four land use scenarios suggested that ploughing up 33 % of grasslands would increase sediment discharge at the water treatment plant by 5 % on average. By contrast, eco-engineering and best farming practices will significantly reduce sediment discharge at the water treatment plant (respectively in the ranges of 10 %–44 % and 24 %–61 %). The coupling of these two strategies is the most efficient since it affects the hydro-sedimentary production and transfer processes (decreasing sediment discharge from 40 % to 80 %). The cascade modelling approach developed in this study offers interesting opportunities for sediment discharge prediction at karstic springs or water treatment plants under multiple land use scenarios. It also provides robust decision-making tools for land use planning and drinking water suppliers.

Throughout history the city and the wilderness have been both idea and environment for urban man. The conflict between them is expressed in the earliest mythology and manifest today in the conservation versus development debate. The conflict is misdirected: conservation and development are interdependent. They are the same process on different time scales: the sustainance and security of life on earth. Their reconciliation is proposed in the concept of sustainable development.The widespread concern about the environment in the industrialised, developed societies today combines scientific and emotional components. The scientific component is a new and valuable appreciation of, and commitment to, the global ecology. The emotional component is more an anti-technology mood, an historically cyclic phenomenon of complex origins. Modern environmentalism is a complex amalgamation of those environmental concerns with wide ranging socio-economic and political reforms. Those reforms frequently involve the concept of no-growth or very limited economic growth, especially in Western industrial society, and derive from a pessimistic world view historically common among intellectuals. It is environmentalism, not conservationism, which is in conflict with the concept of development.A successful petroleum industry is vital to Australia's future security and welfare. The main threat to the industry comes from environmentalism, and the confusing myriad of legislation and regulation it has sponsored. Of particular significance is the policy of excluding exploration from conservation areas, rather than adopting a multiple and sequential land use approach. The single-usage approach to land management is inefficient balancing of resources and, correspondingly, is poor conservation practice. Multiple land use is a fundamental tenet of the sustainable development and the National Conservation Strategy of Australia.APEA, and business and industry generally, must improve communications with the public. The significance of primary resources in the daily life and national economy must be retaught. Industry must play a leading role in defining and implementing sustainable development, and in championing the concept. The concept will be attacked and manipulated by no-growth environmentalists, but they must not be allowed to prevail.Sustainable development offers the present generations the chance to reconcile conservation and development. That reconciliation is an imperative for the future.

This introduction paper to the special issue on multiple land use of Journal of Housing and the Built Environment provides an overview of the differences between the concepts of mixed land use and multiple land use. Multiple land use is a successor of mixed land use concept but is not yet very well well-defined. It covers more dimensions and types of land use than mixed land use, and emphasises the institutional dimension of decision-making. These different dimensions are used to analyse a large multiple land use project in Amsterdam in the Netherlands. This project called the Zuid As (South Axis) is introduced in this paper.

The implementation of concepts of multiple land use seems to be relevant in the context of large-scale urban projects, which are now predominately monofunctional. However, current governance settings at these projects seem to be unreceptive to this new planning concept. Our in-depth case study of the South Axis project in Amsterdam embraces an actor-centred institutional perspective and seeks to understand how more receptive conditions for norm alignment between key actors can be attained. We reconstruct the introduction of quite radical concepts of multiple land use in this project, which started as an office-development proposal. The implementation was severely hampered by the fact that ambitions were formed in a rather introvert local government – business setting. Only in the last stage, with the adoption of a more extrovert mode of governance that included a variety of national government departments, were more receptive conditions for multiple land use created.

Spatial-temporal changes and driving factors of the coordinated relationship among multiple land use efficiencies integrating stakeholders' vision in eastern China

Seasonal and provenance controls on Nd–Sr isotopic compositions of Amazon rivers suspended sediments and implications for Nd and Sr fluxes exported to the Atlantic Ocean

ABSTRACTUrban multiple land use change (LUC) modelling enables the realistic simulation of LUC processes in complex urban systems; however, such modelling suffers from technical challenges posed by complicated transition rules and high spatial heterogeneity when predicting the LUC of a highly developed area. Tree-based methods are powerful tools for addressing this task, but their predictive capabilities need further examination. This study integrates tree-based methods and cellular automata to simulate multiple LUC processes in the Greater Tokyo Area. We examine the predictive capability of 4 tree-based models – bagged trees, random forests, extremely randomised trees (ERT) and bagged gradient boosting decision trees (bagged GBDT) – on transition probability prediction for 18 land use transitions derived from 8 land use types. We compare the predictive power of a tree-based model with multi-layer perceptron (MLP) and among themselves. The results show that tree-based models generally perform better than MLP, and ERT significantly outperforms the three other tree-based models. The outstanding predictive performance of ERT demonstrates the advantages of introducing bagging ensemble and a high degree of randomisation into transition probability modelling. In addition, through variable importance evaluation, we found the strongest explanatory powers of neighbourhood characteristics for all land use transitions; however, the size of the impacts depends on the neighbourhood land use type and the neighbourhood size. Furthermore, socio-economic and policy factors play important roles in transitions ending with high-rise buildings and transitions related to industrial areas.

Multiple and sequential land use: A national policy for Australia?

Land use and cover change modelling and scenarios in the Upper Uruguay Basin (Brazil)

The Australian petroleum industry has been involved in environmental planning and has developed an awareness of multiple land use over the past twentyfive years, more particularly over the past decade. This is in accord with the World Conservation Strategy and the National Conservation Strategy for Australia upon which the Australian State and Territory conservation strategies are based.As the term implies, multiple land use means a sharing of the land. The range of uses includes reserves, heritage areas, agriculture, urban and suburban development and mining. To achieve multiple land use requires the restoration of the environment to its pre-development state as quickly as possible so that both uses can be maintained. This requires that the new user assess the impact of his development well before it begins. This assessment is normally achieved through an Environmental Impact Statement (EIS) or Environmental Review and Management Plan (ERMP). Most operators are familiar with these requirements.This paper deals primarily with the restoration of the existing environment. Restoration is achieved by preserving, to the greatest extent possible, the vegetation and topsoil which are stripped from the development area. As little stockpiling as possible is done and the topsoil, mixed with the broken down vegetation, is returned as quickly as possible. In this way the contained seed load and nutrient values are not lost and regeneration results.Apart from the practical aspects there is a need for the workforce involved to understand what they are conserving and why they are conserving it. A delicate balance exists in nature wherein the surviving plants and animals are able to cope with natural disasters. Management plans must include the principle that the collective impact of a new development will at no time exceed the impact of natural catastrophes.

The Markov-cellular automata is suitable to study complex spatial-temporal geographic system, especially for regional land use, and it has been an important tool and research focus for regional land use change modeling. Previous researchers focused on a few kind of land use type at the regional scale and the data resolution was cursory because land use maps were usually derived from TM image. Few researchers involved precise scale of land use change within a region. To solve this problem, we took the data of land-use survey as a data source maps that include detailed multiple land use types. The case study area was Changping District, which is a rapidly growing area of Beijing. We select the land use map of 2001 and 2005 which include the multiple land use types as data source to simulate the land use of 2012. The results of simulation show that simulation accuracy of multiple land use types is better than them of cursory scale land use types, although it takes a substantial amount of time to run. The statistical result derived from Moran's I and fractal parameter indicates that simulation shows the high spatial stability. The simulation results showed that the number of cropland is keeping on decrease from 2005 to 2012 without the holistic sustainable development measures and severe land policy. This paper represents a good try to local land use change modeling as shown combined Markov chain analysis and cellular automata models. The simulated future land use changes have significant environmental and socioeconomic implications for sustainable region land detailed planning in the study area.

ABSTRACTPlanning is assessed not only based on its ability to improve the living environment through place making, but also based on its role in facilitating investments in the built environment. This paper approaches the combination of these functions as planning for multiple land use. Contracts, rather than plans, are used to bridge these functions. This concept of multiple land use is used to reflect on the contributions in this special issue on regulation of private sector involvement and property market dynamics in urban development. Questions for further research are raised based on the concepts of legitimacy, effectiveness and efficiency. These questions can also be used to assess current planning practice in which private sector investment and place making are combined.

Fredsoe, Jorgen, Inst. of Hydrodynamics and Hydraulic Engineering, Technical U. of Denmark* A theory, is developed for predicting the rate of natural backfilling of pipeline trenches through the action of waves and currents. The pipeline trenches through the action of waves and currents. The sedimentation originating from bed and suspended loads is studied separately. Four numerical examples demonstrate how to use the theory, which is verified by experiments. Introduction The aim of the studies presented here is to provide mathematical models for calculation of natural backfilling in pipeline trenches under the assumption that the seabed consists of noncohesive sediments and that the depth of the trench is small compared with the water depth (Fig. 1). The transportation of noncohesive sediment normally is separated into the transportation of bed and suspended loads. In many contexts, such a distinction of minor importance, but for our purpose it will be demonstrated that such a distinction is necessary. For example. the especially simple case where the alignment of the dredged trench is parallel to the direction of the current is considered. In this case, no suspended sediment is carried from the undredged regions to the trench by the current, if secondary currents are neglected. As long as the variations in water depth are small, the magnitude of secondary currents is negligible. However, while the suspended load is carried in the current direction, the direction of the transport of bed load deviates from the current direction because of gravity effect on the bed load moving on the slopes of the dredged trench. As a result. sedimentation will occur in the trench because of gravity infill of bed load.If the current crosses the trench under a certain angle, some suspended sediment also may settle because of decreasing current velocity and wave action at the bed in the dredged trench.From these considerations, one can see that the sedimentation caused by the bed and suspended loads must be treated separately because the physical background is quite different for the two sedimentation mechanisms.These two different physical processes are described for the case of current only and for the case of combined currents and waves. Numerical examples are given, and the magnitude of backfilling from the various processes is compared. A model test that supports the theoretical findings is described. Sedimentation of Bed Load Fig. 1 defines the velocity and concentration profiles and the bed geometry. Current The simplest case, where the current is parallel to the alignment of the trench, was treated in detail by Fredsoe . The continuity equation for the bed-load transport is given by (1) where Dt is the local depth of the trench, is the porosity of sediments, x1 is a coordinate in the transverse porosity of sediments, x1 is a coordinate in the transverse direction of the trench, and qx is the bed-load transport in the x1-direction, given by (2) JPT P. 1223

This paper presents a new method to simulate the evolution of multiple land uses based on the integration of neural networks and cellular automata using GIS. Simulation of multiple land use changes using cellular automata (CA) is difficult because numerous spatial variables and parameters have to be utilized. Conventional CA models have problems in defining simulation parameter values, transition rules and model structures. In this paper, a three-layer neural network with multiple output neurons is designed to calculate conversion probabilities for competing multiple land uses. The model involves iterative looping of the neural network to simulate gradual land use conversion processes. Spatial variables are not deterministic because they are dynamically updated at the end of each loop. A GIS is used to obtain site attributes and training data, and to provide spatial functions for constructing the neural network. The parameter values for modelling are automatically generated by the training procedure of neural networks. The model has been successfully applied to the simulation of multiple land use changes in a fast growing area in southern China.