An Application of the Pump-to-Fill Policy for Management of Urban Stormwater

被引:4
作者
Howlett, Phil [1 ]
Piantadosi, Julia [1 ]
机构
[1] Univ S Australia, Ctr Ind & Appl Math, Mawson Lakes 5095, Australia
基金
澳大利亚研究理事会;
关键词
Water management; Connected dams; Matrix analytic methods; FINITE DAM;
D O I
10.1007/s10666-007-9123-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We consider the management of urban stormwater in two connected dams. Stormwater generated by local rainfall flows into a capture dam and is subsequently pumped into a similar sized holding dam. We assume random gross inflow and constant demand. If we wish to minimise overflow from the system then the optimal management policy is to pump as much water as possible each day from the capture dam to the holding dam without allowing the holding dam to overflow. We shall refer to this policy as the pump-to-fill policy. The model is based on the Parafield stormwater management system in the City of Salisbury (CoS) but assumes constant demand instead of level dependent outflow. If there is insufficient water in the holding dam to meet the desired daily demand then all water in the holding dam is used and the shortfall is obtained from other sources. CoS, in suburban Adelaide in South Australia, is recognised in local government circles as a world leader in urban stormwater management. The water is supplied to local industry to replace regular mains water and is also used to restore and maintain urban wetlands. In mathematical terms the pump-to-fill policy defines a Markov chain with a large transition matrix and a characteristic regular block structure. We use specialised Matrix Analytic Methods to decompose the event space and find simplified equations for the steady state probability vector. In this way we enable an elementary solution procedure which we illustrate by solving the modified Parafield problem. The optimal nature of the pump-to-fill policy is established in a recent paper by Pearce et al. (JIMO 3(2):313-320, 2007). The purpose of the current study is to find optimal management policies for urban stormwater systems.
引用
收藏
页码:195 / 207
页数:13
相关论文
共 20 条
[1]  
[Anonymous], 1999, Introduction to matrix analytic methods in stochastic modeling, DOI DOI 10.1137/1.9780898719734
[2]   Modeling the operation of multireservoir systems using decomposition and stochastic dynamic programming [J].
Archibald, TW ;
McKinnon, KIM ;
Thomas, LC .
NAVAL RESEARCH LOGISTICS, 2006, 53 (03) :217-225
[3]   An aggregate stochastic dynamic programming model of multireservoir systems [J].
Archibald, TW ;
McKinnon, KIM ;
Thomas, LC .
WATER RESOURCES RESEARCH, 1997, 33 (02) :333-340
[4]   Controlling multi-reservoir systems [J].
Archibald, TW ;
Buchanan, CS ;
Thomas, LC ;
McKinnon, KIM .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 129 (03) :619-626
[5]  
Gani J, 1969, ADV APPL PROBAB, V1, P90
[6]   FINITE BIRTH-AND-DEATH MODELS IN RANDOMLY CHANGING ENVIRONMENTS [J].
GAVER, DP ;
JACOBS, PA ;
LATOUCHE, G .
ADVANCES IN APPLIED PROBABILITY, 1984, 16 (04) :715-731
[7]  
Howlett P, 2005, APPL OPTIMIZAT, V99, P435
[8]  
Howlett P, 2007, J IND MANAG OPTIM, V3, P279
[9]   FINITE MARKOV-CHAIN MODELS SKIP-FREE IN ONE DIRECTION [J].
LATOUCHE, G ;
JACOBS, PA ;
GAVER, DP .
NAVAL RESEARCH LOGISTICS, 1984, 31 (04) :571-588
[10]  
Moran P.A. P., 1959, THEORY STORAGE