Evolution of Public Supply Water Withdrawal in the USA A Network Approach

被引:20
作者
Ahmad, Nasir [1 ]
Derrible, Sybil [1 ]
机构
[1] Univ Illinois, Civil & Mat Engn Dept, Chicago, IL 60607 USA
基金
美国国家科学基金会;
关键词
complex systems; environment; industrial ecology; network science; statistics; water withdrawals;
D O I
10.1111/jiec.12266
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Water is essential to life, and tracking trends in the withdrawal of water is paramount if we aspire to become more sustainable. Traditional statistical indicators, such as mean and standard deviation, are useful to track these trends, but they can sometimes fail to capture relevant and nontrivial properties. In this work, we first highlight the limits of these traditional statistical tools and we then offer a new network approach to study water withdrawals. Public supply water withdrawal data from the U.S. Geological Survey (USGS) for the years 1985, 1990, 1995, and 2005 were used in gallons of water per capita per day for all U.S. counties. Essentially, a network is formed between counties when they have withdrawal values within a certain range, +/- , of one another. A giant cluster rapidly emerges, containing more than 80% of the nodes for a of 1%. The counties with the highest number of connections are associated with the mode of distribution, and we found multimodal patterns for earlier years. Moreover, the average shortest-path length can be seen as the spread of a distribution. Overall, beyond a possible process of homogenization, water withdrawal patterns do not seem to have evolved much from 1985 to 2005, and no spatial correlation was detected. Though the methodology is yet to be formalized, it manages to give meaningful insights to supplement traditional statistical analyses.
引用
收藏
页码:321 / 330
页数:10
相关论文
共 22 条
[1]  
[Anonymous], 2014, WAT US US
[2]  
[Anonymous], 2012, NETWORKS CROWDS MARK
[3]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[4]  
Boltzmann L., 1872, KINETIC THEORY, V66, P275
[5]   The origins of the Gini index: extracts from VariabilitA e MutabilitA (1912) by Corrado Gini [J].
Ceriani, Lidia ;
Verme, Paolo .
JOURNAL OF ECONOMIC INEQUALITY, 2012, 10 (03) :421-443
[6]  
Chin D. A., 2002, WATER RESOURCES ENG
[7]  
Csardi Gabor, 2006, InterJournal, Complex Sy, V1695, P1
[8]  
ERDOS P, 1960, B INT STATIST INST, V38, P343
[9]  
Erdos P, 1959, Publicationes Mathematicae, V6, P290, DOI DOI 10.5486/PMD.1959.6.3-4.12
[10]  
Gleick P.H, 1993, WATER CRISIS GUIDE W, V100