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The physical science portion of the Summary for Policymakers of the latest assessment report of the Intergovernmental Panel on Climate Change states that the best estimate of climate sensitivity, defined as the warming expected at equilibrium from doubling the amount of carbon dioxide in the atmosphere, is 3 degrees Celsius (or 5.4 degrees Fahrenheit). It also states that the global average surface temperature will continue to increase until at least the middle of the current (twenty-first) century. Recalling that the Paris Agreement of 2015 specified a goal or target of limiting warming to 2 degrees Celsius (or 3.6 degrees Fahrenheit), with an even more ambitious aspirational goal of 1.5 degrees Celsius (or 2.7 degrees Fahrenheit), this Summary for Policymakers states that neither of these goals will be met during the twenty-first century unless deep reductions in emissions occur. The report also states that many of the climate changes caused by greenhouse gas emissions cannot be reversed and will persist for hundreds or thousands of years. It cites global sea level rise and the loss of ice sheets and glaciers as examples of changes that will be irreversible on human time scales.
Chapter 2 continues the thread from Chapter 1, moving from objections against Kant in animal ethics to broader concerns in environmental philosophy. I begin with problematic passages from Kant’s critical texts such as the Groundwork for the Metaphysics of Morals and the Critique of Pure Reason. While Kant does not discuss the environment, the standard interpretation of Kant suggests that nature has no intrinsic value and that environments are of mere instrumental worth. Environmental philosophers are warranted to suspect that Kant’s critical philosophy may be a nonstarter given its apparent dualism and anthropocentrism. Next, I examine three camps of Kant defenders who challenge these suspicions. Some commentators defend Kant’s system, others modernize him, and some synthesize Kant with other philosophers such as Aristotle. I assess the merits of their arguments, ultimately recommending a move beyond the standard reading to address the climate crisis.
We examine how ambient temperature $T$ (23–90 $^\circ \mathrm{C}$) alters the dynamics of spark-induced cavitation bubbles across a range of discharge energies. As $T$ rises, the collapse of an isolated spherical bubble weakens monotonically, as quantified by the Rayleigh collapse factor, minimum volume and maximum collapse velocity. When the bubble is generated near a rigid wall, the same thermal attenuation is reflected in reduced jet speed and diminished migration. Most notably, at $T \gtrsim 70\,^\circ \text{C}$, we observe a previously unreported phenomenon: secondary cavitation nuclei appear adjacent to the primary bubble interface where the local pressure falls below the Blake threshold. The pressure reduction is produced by the over-expansion of the primary bubble itself, not by rarefaction waves as suggested in earlier work. Coalescence between these secondary nuclei and the parent bubble seeds pronounced surface wrinkles that intensify Rayleigh–Taylor instability and promote fission, providing an additional route for collapse strength attenuation. These findings clarify the inception mechanism of high-temperature cavitation and offer physical insight into erosion mitigation in heated liquids.
Modern research has produced computer climate models that are based largely on weather-prediction models. Climate models, however, include simulations of the ocean and land surface and other components of the climate system, as well as the atmosphere. Climate models are also allowed to run for a longer simulated time, several months or even years, instead of the few days needed to produce a weather forecast. This variation in time scales is one of the fundamental differences between climate and weather. Climate modeling is computer simulation of a high order. We can change a number in the computer program and make the Earth spin faster or backwards, we can turn off the Sun, we can make the seasons disappear, or we can change atmospheric carbon dioxide. Of course, we are doing all this with a make-believe or virtual Earth. Climate modeling by computer simulation is an exciting area of research. It can provide valuable insights into how the climate system works. However, the results are approximate solutions of the climate problem, not exact depictions.
Kant’s Metaphysics of Morals, while useful for moving past the ecological limitations of the standard reading, is limited insofar as it focuses on individual actors—consumers, citizens, and politicians in particular. Kant’s ethical thought emphasizes individual humans rather than economic and political systems, and his teleological thought appears scientifically outdated. This chapter asks whether these aspects of Kant’s thought need revision. It begins by placing Kant in dialogue with Darwin and Marx, pursuing a critical discussion on the human species and political systems in the context of the Anthropocene. The Kantian reply, I suggest, encourages us to reconsider Kant’s philosophy of history and philosophical anthropology. Kant’s ideas are significant for the climate crisis insofar as they enjoin normative reflection on the human species globally and in the long term. I conclude with critical reflections on Kant’s racism and sexism as obstacles to reading Kant in the Anthropocene.
A feedback is something that happens in response to a prior cause, and which then itself makes a change in what caused it. It is the modification or control of a process or system by its results or effects. The challenge in making climate models realistic is largely that of understanding these feedback processes and incorporating them in models. As the air warms, does water vapor increase? To what extent? How much does that affect the warming? Do ice and snow melt? How rapidly? Does that change the reflectivity of the Earth’s surface and affect the warming? Does the ocean circulation change? In what ways? How does that affect climate? Do the clouds change? Are they more plentiful? Less plentiful? Higher? Lower? Darker? Lighter? How do they feed back to the climate? We need quantitative answers to all these questions. For example, we are not asking the qualitative question of whether clouds warm us or cool us. We know that they do both. Rather, we are asking the hard, quantitative question: Which of those two events is dominant, the cloud’s contribution to the greenhouse effect (warming) or the cloud’s contribution to reflecting away sunlight (cooling)?
This chapter first reproduces a fictional speech that I published in 2008, an election year for the Presidency of the United States. The candidates were Barack Obama and John McCain, both Senators at the time. In this imaginary speech, I expressed my thoughts on what the winner of the election might say about the steps he would take to give high priority to meeting the challenge of climate change. Climate change is not something the world can safely continue to procrastinate about. We cannot wait until coastal cities become abandoned before we start mitigating sea level rise. Waiting too long means doing too little and acting too late. There is a timescale built into the climate change issue by physics and chemistry, and the broad public has not yet fully realized the urgency of it. Climate change is fundamentally a moral and ethical problem, in my view. What do we who are alive today owe to the next generation, and to subsequent generations? We are literally creating the planet our children will live in. We must act energetically and wisely. Everything depends on what people and their governments do.
For many important aspects of weather forecasts, predictive skill has improved by about one day per decade in recent years. A seven-day forecast now, for example, is approximately as accurate as a three-day forecast was four decades ago. Thus, progress in improving forecasts during about four decades has resulted in extending the useful forecast range by about four days. This is a remarkable accomplishment. However, any error in specifying the initial conditions, and we know errors are inevitable, will make the forecast go wrong after a certain time. As for our current forecasting skill, we can predict weather for at least several days. For the largest-scale features – very large weather systems, highs and lows on continental scales – the limit is thought to be a few weeks. Recent progress in research has led to major advances in our understanding of climate. These advances have greatly increased the confidence of scientists in their ability to make skillful and useful forecasts of how the climate system will respond to increased amounts of greenhouse gases in the atmosphere.
Plastic pollution in our aquatic systems is a pressing issue, and the spread of these particles is determined by several factors. In this study, the advection and dispersion of negatively buoyant finite-size particles of four different shapes (spheres, circular cylinders, square cylinders and flat cuboids) and two sizes (6 and 9 mm) are investigated in turbulent open-channel flow. The volume, mass and characteristic length are fixed for each size. Four different turbulent conditions are considered, varying the free stream velocity $U_{\infty }=$ 0.25 and 0.38 m s–1 and turbulence intensity ($(u'/U)_\infty =4$ % and 9 %). The particles are released individually from below the water surface. A catch-grid is placed along the bottom floor to mark the particle landing location. The average particle advection distance remains unchanged between the turbulence levels, suggesting that the mean settling velocity is independent of turbulence in this regime. Based on the root mean square of the landing locations, the particle dispersion varies with particle shape, size, settling velocity and turbulent flow conditions. For the square cylinders investigated in this work, the effect of particle shape on dispersion is difficult to predict at low flow velocities and turbulence intensities. As the turbulent fluctuations increase, the dispersion becomes more predictable for all shapes. An empirical expression is proposed to relate turbulent velocity fluctuations, integral length scales, particle settling velocity and particle size to streamwise dispersion. It is found that finite-size inertial particles do not disperse per simple turbulent diffusion, meaning that particle geometry has to be incorporated into dispersion models.
A theoretical model is developed to study the deformation dynamics of a biconcave red blood cell (RBC) in a viscous fluid driven by an ultrasonic standing wave. The model considers the true physiological shape of RBCs with biconcave geometry, overcoming the challenges of modelling the nonlinear acoustomechanical coupling of complex biconcave curved shells. The hyperelastic shell theory is used to describe the cell membrane deformation. The acoustic perturbation method is employed to divide the Navier–Stokes equations for viscous flows into the acoustic wave propagation equation and the mean time-averaged dynamic equation. The time-average flow–membrane interaction is considered to capture the cell deformation in acoustic waves. Numerical simulations are performed using the finite element method by formulating the final governing equation in weak form. And a curvature-adaptive mesh refinement algorithm is specifically developed to solve the error problem caused by the nonlinear response of biconcave boundaries (such as curvature transitions) in fluid–structure coupling calculations. The results show that when the acoustic input is large enough, the shape of the cell at the acoustic pressure node changes from a biconcave shape to an oblate disk shape, thereby predicting and discovering for the first time the snap-through instability phenomenon in bioncave RBCs driven by ultrasound. The effects of fluid viscosity, surface shear modulus and membrane bending stiffness on the deformation of the cell are analysed. This numerical model has the ability to accurately predict the acoustic streaming fields and associated time-averaged fluid stress, thus providing insights into the acoustic deformation of complex-shaped particles. Given the important role of the mechanical properties of RBCs in disease diagnosis and biological research, this work will contribute to the development of acoustofluidic technology for the detection of RBC-related diseases.