Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary
Our group has studied the spatiotemporal variation of soil and water salinity in an artificial salt marsh along the Arakawa River estuary and developed a practical model for predicting soil salinity. The salinity of the salt marsh and the water level of a nearby channel were measured once a month fo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/13/15/2054 |
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| author | Naoki Kuroda Katsuhide Yokoyama Tadaharu Ishikawa |
| author_facet | Naoki Kuroda Katsuhide Yokoyama Tadaharu Ishikawa |
| author_sort | Naoki Kuroda |
| collection | DOAJ |
| description | Our group has studied the spatiotemporal variation of soil and water salinity in an artificial salt marsh along the Arakawa River estuary and developed a practical model for predicting soil salinity. The salinity of the salt marsh and the water level of a nearby channel were measured once a month for 13 consecutive months. The vertical profile of the soil salinity in the salt marsh was measured once monthly over the same period. A numerical flow simulation adopting the shallow water model faithfully reproduced the salinity variation in the salt marsh. Further, we developed a soil salinity model to estimate the soil salinity in a salt marsh in Arakawa River. The vertical distribution of the soil salinity in the salt marsh was uniform and changed at almost the same time. The hydraulic conductivity of the soil, moreover, was high. The uniform distribution of salinity and high hydraulic conductivity could be explained by the vertical and horizontal transport of salinity through channels burrowed in the soil by organisms. By combining the shallow water model and the soil salinity model, the soil salinity of the salt marsh was well reproduced. The above results suggest that a stable brackish ecotone can be created in an artificial salt marsh using our numerical model as a design tool. |
| first_indexed | 2024-03-10T09:07:37Z |
| format | Article |
| id | doaj.art-cb49c98ae9fc4621b7b902de27df69c3 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T09:07:37Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-cb49c98ae9fc4621b7b902de27df69c32023-11-22T06:19:43ZengMDPI AGWater2073-44412021-07-011315205410.3390/w13152054Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River EstuaryNaoki Kuroda0Katsuhide Yokoyama1Tadaharu Ishikawa2Department of River, CTI Engineering Co., Ltd., 1-14-6 Kamikizaki, Urawa-ku, Saitama 330-0071, JapanDepartment of Civil and Environmental Engineering, Tokyo Metropolitan University, 1-1 Minamiosawa, Hachioji-City, Tokyo 192-0397, JapanTokyo Institute of Technology, 2-4-15 Katase-kaigan, Fujisawa-City 251-0035, JapanOur group has studied the spatiotemporal variation of soil and water salinity in an artificial salt marsh along the Arakawa River estuary and developed a practical model for predicting soil salinity. The salinity of the salt marsh and the water level of a nearby channel were measured once a month for 13 consecutive months. The vertical profile of the soil salinity in the salt marsh was measured once monthly over the same period. A numerical flow simulation adopting the shallow water model faithfully reproduced the salinity variation in the salt marsh. Further, we developed a soil salinity model to estimate the soil salinity in a salt marsh in Arakawa River. The vertical distribution of the soil salinity in the salt marsh was uniform and changed at almost the same time. The hydraulic conductivity of the soil, moreover, was high. The uniform distribution of salinity and high hydraulic conductivity could be explained by the vertical and horizontal transport of salinity through channels burrowed in the soil by organisms. By combining the shallow water model and the soil salinity model, the soil salinity of the salt marsh was well reproduced. The above results suggest that a stable brackish ecotone can be created in an artificial salt marsh using our numerical model as a design tool.https://www.mdpi.com/2073-4441/13/15/2054soil salinityartificial salt marshnumerical model for long termburrows by organisms |
| spellingShingle | Naoki Kuroda Katsuhide Yokoyama Tadaharu Ishikawa Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary Water soil salinity artificial salt marsh numerical model for long term burrows by organisms |
| title | Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary |
| title_full | Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary |
| title_fullStr | Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary |
| title_full_unstemmed | Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary |
| title_short | Development of a Practical Model for Predicting Soil Salinity in a Salt Marsh in the Arakawa River Estuary |
| title_sort | development of a practical model for predicting soil salinity in a salt marsh in the arakawa river estuary |
| topic | soil salinity artificial salt marsh numerical model for long term burrows by organisms |
| url | https://www.mdpi.com/2073-4441/13/15/2054 |
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