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2016美国大学生数学建模特等奖论文集(ICM,含赛题)E43443.pdf
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For office use only Team Control Number For office use only
T1 ________________ 43443 F1 ________________
T2 ________________ Problem Chosen F2 ________________
T3 ________________ E F3 ________________
T4 ________________ F4 ________________
2016!
MCM/ICM!
Summary Sheet!
(Your team's summary should be included as the first page of your electronic submission.)
!
Type a summary of your results on this page. Do not include the name of your school, advisor, or
team members on this page.
In this paper, we formulate an “excess water ratio” (EWR) metric for water
scarcity that improves upon currently used metrics such as the Water Stress Index
(WSI) by computing the per capita excess water available in a region. This provides a
more illuminating description of the impact of water shortages on individuals. To
determine the amount of excess water in a region, we start with the amount of
naturally available water, then subtract out water usage from each primary category:
personal use, industrial use, and agricultural use. Dividing this by the total
population of a region allows us to determine the annual amount of water that is
available but unused for every individual, a goal which is unique to our model. We
note as well that depriving an ecosystem of all available water carries serious
environmental consequences. In our case study, we apply our model to India, which
in addition to having the second largest population in the world, also suffers from a
large scale lack of safe drinking water and a high rate of waterborne diseases. In
applying our model to predictions of India's water scarcity in 2031, we first model
growth rates for the environmental and social factors that influence water use to
determine the growth of water needs over the next fifteen years. We develop a
secondary model on MATLAB that utilizes local predictions of water use and
population growth from the Indian government to extrapolate our EWR measure.
Taking these two models together, we conclude that the excess water per capita in
India will be around half of its current level by 2031. We proceed to explore several
intervention measures for India's water crisis that emphasize the need to address the
supply and demand sides of the water equation, including watershed development,
waste treatment, and broader cultural changes in food production. We find the
cumulative impact of the proposed infrastructure improvements to be minimal.
Implementing both these changes would delay the point at which India's EWR
diminishes to zero by just one year (from 2083 to 2084). When we assume changes in
agriculture we begin to see more impact. Specifically, switching all rice and wheat
production in the country to millet over a thirty year period pushes the year India
hits zero EWR back to 2097. All of this means that large cultural shifts in demand for
water will ultimately be necessary for India to achieve long-term water
sustainability.
A Model for Projected Water Needs and
Intervention Strategies in India
Control #43443
February 1, 2016
Contents
1 Introduction 2
2 Model for Water Needs 3
2.1 Outline of Our Approach . . . . . . . . . . . . . . . . . . . . . . 3
2.2 Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.3 An Approach to Projecting Water Availability . . . . . . . . . . 4
2.4 Evaluation of the Model . . . . . . . . . . . . . . . . . . . . . . . 6
2.4.1 Correlation with Water Stress Indicator (WSI) . . . . . . 6
2.4.2 Strengths . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.4.3 Weaknesses . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.5 A More Complex Model for Water Availability . . . . . . . . . . 7
3 Case Study: India 8
3.1 Rationale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.2 Main Drivers of Water Scarcity . . . . . . . . . . . . . . . . . . . 8
4 Prediction of Water in India in 15 Years 9
4.1 Determining the Current State of Water Scarcity . . . . . . . . . 9
4.2 Preliminary Estimation of Growth Rates of Water Use . . . . . . 10
4.3 A More Robust Computer Model . . . . . . . . . . . . . . . . . . 11
4.3.1 Assumptions for the Computer Model . . . . . . . . . . . 14
4.4 Conclusions for Impacts on Citizens . . . . . . . . . . . . . . . . 14
5 Intervention Plans for India 14
5.1 Intervention Plans for India’s Water Scarcity . . . . . . . . . . . 14
5.1.1 Watershed Development . . . . . . . . . . . . . . . . . . . 15
5.1.2 Water Recycling and Waste Treatment . . . . . . . . . . . 16
5.1.3 Societal Changes in Food Consumption . . . . . . . . . . 16
5.1.4 Changes in Food Production . . . . . . . . . . . . . . . . 16
5.2 Impact of Water Available of Surrounding Area . . . . . . . . . . 17
5.3 Evaluation of Strengths and Weaknesses . . . . . . . . . . . . . . 17
6 Projection of Future Water Availability for India 18
7 Conclusion 20
1
Page 2 Control # 43443
1 Introduction
Water has been absolutely critical for all humans, everywhere, since the be-
ginning of time. Every human needs at a bare minimum 20 liters of water to
survive. [1] The need for that water is rooted deeply in our biology: at 1% water
deficiency humans get thirsty, a 5% shortfall causes fever, at 10% short we are
rendered immobile, and death strikes after just a week of 12-15% water loss. [2]
Given these biological realities, it is not a surprise that the first and most basic
category of water use in human society is personal consumption.
However, it is not enough to simply have sufficient water to drink. In terms
of total water consumption, personal use is actually a fairly small – if absolutely
essential – piece of the pie, just 5% on average of a given country’s consumption.
[3] By far the majority of water that all societies consume, 75% on average, is
used not to keep from dying of thirst but rather to keep from dying of hunger;
on agriculture. And in the middle, at 20% of water consumption, is industry.
On the face of it, it is hard to imagine why water scarcity could ever be an
issue on a planet that is 70% covered with water [4]. The problem arises when
we consider the conditions that make water usable: it must be fresh (not too
salty), liquid, and physically accessible. The first condition eliminates all but
2.5% of all water from consideration, the second eliminates two thirds of that
which remains, and the final condition brings the total fresh, liquid water near
or at the surface (ie usable water) down to just 0.003% of earth’s fresh water.
[3]
All that said, due to natural replenishment through the water cycle, even
that tiny fraction of available water has managed to sustain all human life that
has existed since antiquity. The main reason to expect that condition to be dif-
ferent going forward is that the exponential nature of human population growth
that has been occurring since roughly the Industrial Revolution is completely
unprecedented historically. To contextualize the current situation, realize that
it took almost 12,000 years for the human population to go from zero (circa
10,000 BCE) to one billion (circa 1800 CE). It took 125 years to go from one
billion to two circa 1930, 30 years to get from two to three billion in 1959, and
15 years or less to acquire each remaining billion, all the way up to today’s
current global population: about 7.3 billion people. [5] [6] And globally we are
continuing to grow; the UN projects that there will be over 11 billion people by
the year 2100. [7]
This ongoing massive increase in the number of people around the world
drives up water usage in all three categories. More people means more direct
individual consumers of their 20 daily liters, it means that more societies will
develop water intensive industry, and most importantly it means that everyone
must grow more crops. Incidentally the latter two have also historically and
currently contributed to increasing pollution, thereby even further decreasing
the total amount of usable water available. [8]
In short, humanity currently faces conditions of water scarcity that are com-
pletely unprecedented in human history. As a global community accurately
modeling future water needs and developing strategies we are all able and will-
Page 3 Control # 43443
ing to implement to bring necessary water consumption down to (or preferably
somewhere far below) the upper limit of physical water availability will be one
of the defining challenges of our time. But we must find a way; the survival of
the human race hangs precariously in the balance.
2 Model for Water Needs
2.1 Outline of Our Approach
In formulating a quantitative measure of water scarcity, we start with a reflection
of the Water Stress Indicator (WSI) which was created in 2005 by Smakhthin,
et al. [9] This model has credibility due to its precedent of use in informing
international policy making, as the UN Environmental Programme uses the
W SI as its measure of water scarcity on public maps.[10] The WSI is calculated
using the following formula:
Water Stress Indicator(W SI) =
Water Withdrawals
Mean Annual Runoff(M AR)
Water withdrawals are thus interpreted as a reflection of water use and the
MAR is interpreted as a reflection of water availability. According to the U.S.
Geological Survey, mean annual runoff is equivalent to the difference between
water available from precipitation and water lost due to evaporation.[11] Water
withdrawals are taken as a sum of water withdrawals for the primary uses of
water within a region: industrial, agricultural, and personal. Beyond its use in
the WSI, this summation has precedent in Vorosmarty’s index of local relative
water use and reuse (2005) and Shiklomanov and Markova’s water resources
vulnerability index (1993). [10]
A significant weakness with the use of the WSI is that it does not allow
for any conclusions to be drawn about the average impact of water scarcity on
an individual level. Two regions with the same levels of water availability and
water use will have different strains on the daily living of individuals within the
regions depending on their populations. Thus a more thorough reflection of a
region’s water scarcity should be dependent on the population of the region.
Our approach in developing our model is thus to use data that is representative
of water use and availability and formulating a ratio that determines how much
water this leaves per capita for recreational, commercial, or hygienic uses.
2.2 Assumptions
There are a myriad of cultural and environmental factors that impact the avail-
ability of water and how much water is needed to sustain the standards of living
of the region. Because it is impossible to account for the impact of each of these
factors on the overall water demands and availability, we adopt a number of
simplifying assumptions for our model:
Page 4 Control # 43443
• The only source of water for a region is its MAR. There is precedent for
this assumption in the prevailing models of the Water Stress Indicator
(WSI) and the USGS. The assumption is reasonable because while other
technologies exist to acquire water, these are not yet widespread enough
to present long term solutions to water shortages.
• Utility from water use for individuals is a strictly increasing monotonic
function. This assumption allows us to conclude that individuals, regard-
less of current water levels, would enjoy having more water available to
them. Therefore, although cultural practices in various regions create a
perceived need of different water levels, we assume that an increase in
water availability would be appreciated by any individual.
• The current aggregate level of water use is in a temporary equilibrium, as
the region seeks to efficiently use all of the water that it has available based
on existing demands and technologies. This assumption is reasonable be-
cause to assume the opposite would imply that the region is currently
using more water than is physically present.
• Government policy and individuals are informed about the safety of the
water available to them and accordingly use the available water for appro-
priate purposes. Historically, this assumption has not always held because
the assumption of unclean water has led to diseases. A more complex
model would take into account the ubiquity of this knowledge throughout
the population.
• Geographic distribution of water sources and consumption is not a factor
in a country’s water scarcity. In reality, available water in one region
does not necessarily provide adequate water to another region due to the
economic and logistical challenges of transporting large quantities of water.
However, because people commonly settle and farm in land with abundant
water, we do not consider the effects of transportation of water in our
model.
2.3 An Approach to Projecting Water Availability
In the first formulation of the model, we use the process outlined above to come
up with a general formula for water use and water availability, and then create
an Excess Water Ratio (EWR). The excess water ratio represents the amount
of unused water in a region that is available per person. A higher ratio implies
that more water is available per person, and thus a higher EWR for a region
suggests that water scarcity is less of a concern for the region:
Water Use = Water Use from Industry + Water Use for Agriculture
+ Water Use for Personal Use
Water Availability = Mean Annual Runoff
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