Abstract
Streamflow stations are typical hydrometric stations that serve as the basic components of hydrological monitoring networks. To effectively obtain information for predicting the magnitude and frequency of future floods and droughts, an optimal configuration of streamflow stations should be established to maximize the sensing capability with limited resources. In this paper, we propose a method to site streamflow stations in space to maximize the total area for streamflow monitoring. Considering the special regulations for deploying streamflow stations, a modified maximal covering location problem (MCLP) model is introduced. The effective coverage range of a streamflow station is determined based on the minimum density required and the site-specific terrain slope. The candidate sites are assumed to be continuously distributed along a river, and the river network is abstracted as a series of line-based river segments. The covering priority for each segment can be determined by the river length, the drainage area, or the level of flooding risk. The hydrometric network intersection point set (HNIPS) is proposed to identify finite candidate sites along a river. By narrowing the continuous search space to a discrete point set, this siting problem is solved using the MCLP-based model and HNIPS. The Jinsha River Basin is selected as a study area to test the proposed streamflow station siting method. Results show that the proposed method is effective in prescribing the optimal configuration of streamflow stations and the model solution achieves better coverage than that of the real-world deployment. The applicability of the proposed optimal siting method using HNIPS is analyzed. The criteria for candidate site selection and impacts of different weighting schemes applied to river segments are also discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 172-183 |
| Number of pages | 12 |
| Journal | Journal of Hydrology |
| Volume | 527 |
| DOIs | |
| State | Published - Aug 1 2015 |
| Externally published | Yes |
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Keywords
- Hydrometric network intersection point set
- Jinsha River Basin
- Maximal covering location problem
- Optimal configuration
- Streamflow station
ASJC Scopus subject areas
- Water Science and Technology
Cite this
Optimizing the configuration of streamflow stations based on coverage maximization : A case study of the Jinsha River Basin. / Wang, Ke; Chen, Nengcheng; Tong, Daoqin; Wang, Kai; Gong, Jianya.
In: Journal of Hydrology, Vol. 527, 01.08.2015, p. 172-183.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimizing the configuration of streamflow stations based on coverage maximization
T2 - A case study of the Jinsha River Basin
AU - Wang, Ke
AU - Chen, Nengcheng
AU - Tong, Daoqin
AU - Wang, Kai
AU - Gong, Jianya
PY - 2015/8/1
Y1 - 2015/8/1
N2 - Streamflow stations are typical hydrometric stations that serve as the basic components of hydrological monitoring networks. To effectively obtain information for predicting the magnitude and frequency of future floods and droughts, an optimal configuration of streamflow stations should be established to maximize the sensing capability with limited resources. In this paper, we propose a method to site streamflow stations in space to maximize the total area for streamflow monitoring. Considering the special regulations for deploying streamflow stations, a modified maximal covering location problem (MCLP) model is introduced. The effective coverage range of a streamflow station is determined based on the minimum density required and the site-specific terrain slope. The candidate sites are assumed to be continuously distributed along a river, and the river network is abstracted as a series of line-based river segments. The covering priority for each segment can be determined by the river length, the drainage area, or the level of flooding risk. The hydrometric network intersection point set (HNIPS) is proposed to identify finite candidate sites along a river. By narrowing the continuous search space to a discrete point set, this siting problem is solved using the MCLP-based model and HNIPS. The Jinsha River Basin is selected as a study area to test the proposed streamflow station siting method. Results show that the proposed method is effective in prescribing the optimal configuration of streamflow stations and the model solution achieves better coverage than that of the real-world deployment. The applicability of the proposed optimal siting method using HNIPS is analyzed. The criteria for candidate site selection and impacts of different weighting schemes applied to river segments are also discussed.
AB - Streamflow stations are typical hydrometric stations that serve as the basic components of hydrological monitoring networks. To effectively obtain information for predicting the magnitude and frequency of future floods and droughts, an optimal configuration of streamflow stations should be established to maximize the sensing capability with limited resources. In this paper, we propose a method to site streamflow stations in space to maximize the total area for streamflow monitoring. Considering the special regulations for deploying streamflow stations, a modified maximal covering location problem (MCLP) model is introduced. The effective coverage range of a streamflow station is determined based on the minimum density required and the site-specific terrain slope. The candidate sites are assumed to be continuously distributed along a river, and the river network is abstracted as a series of line-based river segments. The covering priority for each segment can be determined by the river length, the drainage area, or the level of flooding risk. The hydrometric network intersection point set (HNIPS) is proposed to identify finite candidate sites along a river. By narrowing the continuous search space to a discrete point set, this siting problem is solved using the MCLP-based model and HNIPS. The Jinsha River Basin is selected as a study area to test the proposed streamflow station siting method. Results show that the proposed method is effective in prescribing the optimal configuration of streamflow stations and the model solution achieves better coverage than that of the real-world deployment. The applicability of the proposed optimal siting method using HNIPS is analyzed. The criteria for candidate site selection and impacts of different weighting schemes applied to river segments are also discussed.
KW - Hydrometric network intersection point set
KW - Jinsha River Basin
KW - Maximal covering location problem
KW - Optimal configuration
KW - Streamflow station
UR - http://www.scopus.com/inward/record.url?scp=84929167249&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929167249&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2015.04.054
DO - 10.1016/j.jhydrol.2015.04.054
M3 - Article
AN - SCOPUS:84929167249
VL - 527
SP - 172
EP - 183
JO - Journal of Hydrology
JF - Journal of Hydrology
SN - 0022-1694
ER -