Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment
The cosmic-ray neutron sensing (CRNS) is an emerging method for continuously monitoring soil water content (SWC) at an intermediate scale. However, when multiple hydrologic units are present within its footprint, the potential application of CRNS in water resources management is restricted. Here we...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-11-01
|
| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377423003761 |
| _version_ | 1797637656604049408 |
|---|---|
| author | Xuezhang Li Xianli Xu Kelin Wang Xiaohan Li |
| author_facet | Xuezhang Li Xianli Xu Kelin Wang Xiaohan Li |
| author_sort | Xuezhang Li |
| collection | DOAJ |
| description | The cosmic-ray neutron sensing (CRNS) is an emerging method for continuously monitoring soil water content (SWC) at an intermediate scale. However, when multiple hydrologic units are present within its footprint, the potential application of CRNS in water resources management is restricted. Here we propose a new strategy to predict point-scale SWC in root zone established on CRNS-based soil moisture and improved relative difference method. A total of 768 days of soil moisture data were collected by CRNS at the intermediate scale and EC-TM sensors at the point scale in a karst catchment. The original and improved mean relative difference methods predicted point-scale SWCs within and without the effective measuring depth, respectively. The mean effective measuring depth was 13.16 cm, ranging from 10.13 to 19.23 cm. Both land use type and soil structure played essential roles in regulating point scale SWC in the soil profile. Point-scale SWC in root zone can be predicted accurately (P < 0.001) based on SWC data derived from the CRNS system. The prediction accuracy of point scale SWC can be improved by increasing the averaging time of the soil moisture values. Our results demonstrated that the proposed strategy was reliable for CRNS to predict SWC beyond the effective measurement depth. This study provides a good perspective for effectively managing of water resources in areas with complex hydrological processes. |
| first_indexed | 2024-03-11T12:52:28Z |
| format | Article |
| id | doaj.art-4d687e43283944e3a0cd159e634e3931 |
| institution | Directory Open Access Journal |
| issn | 1873-2283 |
| language | English |
| last_indexed | 2024-03-11T12:52:28Z |
| publishDate | 2023-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj.art-4d687e43283944e3a0cd159e634e39312023-11-04T04:17:13ZengElsevierAgricultural Water Management1873-22832023-11-01289108511Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchmentXuezhang Li0Xianli Xu1Kelin Wang2Xiaohan Li3Huanjiang Observation and Research Station for Karst Ecosystem, Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530201, China; Institutional Center for Shared Technologies and Facilities of Institute of Subtropical Agriculture, CAS, Changsha 410125, ChinaHuanjiang Observation and Research Station for Karst Ecosystem, Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530201, China; Institutional Center for Shared Technologies and Facilities of Institute of Subtropical Agriculture, CAS, Changsha 410125, China; Correspondence to: Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.Huanjiang Observation and Research Station for Karst Ecosystem, Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China; Guangxi Industrial Technology Research Institute for Karst Rocky Desertification Control, Nanning 530201, China; Institutional Center for Shared Technologies and Facilities of Institute of Subtropical Agriculture, CAS, Changsha 410125, ChinaHuanjiang Observation and Research Station for Karst Ecosystem, Key Laboratory for Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China; Guangxi Key Laboratory of Karst Ecological Processes and Services, Huanjiang 547100, China; Institutional Center for Shared Technologies and Facilities of Institute of Subtropical Agriculture, CAS, Changsha 410125, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaThe cosmic-ray neutron sensing (CRNS) is an emerging method for continuously monitoring soil water content (SWC) at an intermediate scale. However, when multiple hydrologic units are present within its footprint, the potential application of CRNS in water resources management is restricted. Here we propose a new strategy to predict point-scale SWC in root zone established on CRNS-based soil moisture and improved relative difference method. A total of 768 days of soil moisture data were collected by CRNS at the intermediate scale and EC-TM sensors at the point scale in a karst catchment. The original and improved mean relative difference methods predicted point-scale SWCs within and without the effective measuring depth, respectively. The mean effective measuring depth was 13.16 cm, ranging from 10.13 to 19.23 cm. Both land use type and soil structure played essential roles in regulating point scale SWC in the soil profile. Point-scale SWC in root zone can be predicted accurately (P < 0.001) based on SWC data derived from the CRNS system. The prediction accuracy of point scale SWC can be improved by increasing the averaging time of the soil moisture values. Our results demonstrated that the proposed strategy was reliable for CRNS to predict SWC beyond the effective measurement depth. This study provides a good perspective for effectively managing of water resources in areas with complex hydrological processes.http://www.sciencedirect.com/science/article/pii/S0378377423003761Cosmic-ray neutron sensingSoil moisture estimationImproved mean relative difference methodRoot zoneKarst ecosystems |
| spellingShingle | Xuezhang Li Xianli Xu Kelin Wang Xiaohan Li Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment Agricultural Water Management Cosmic-ray neutron sensing Soil moisture estimation Improved mean relative difference method Root zone Karst ecosystems |
| title | Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment |
| title_full | Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment |
| title_fullStr | Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment |
| title_full_unstemmed | Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment |
| title_short | Estimation of root zone soil moisture at point scale based on soil water measurements from cosmic-ray neutron sensing in a karst catchment |
| title_sort | estimation of root zone soil moisture at point scale based on soil water measurements from cosmic ray neutron sensing in a karst catchment |
| topic | Cosmic-ray neutron sensing Soil moisture estimation Improved mean relative difference method Root zone Karst ecosystems |
| url | http://www.sciencedirect.com/science/article/pii/S0378377423003761 |
| work_keys_str_mv | AT xuezhangli estimationofrootzonesoilmoistureatpointscalebasedonsoilwatermeasurementsfromcosmicrayneutronsensinginakarstcatchment AT xianlixu estimationofrootzonesoilmoistureatpointscalebasedonsoilwatermeasurementsfromcosmicrayneutronsensinginakarstcatchment AT kelinwang estimationofrootzonesoilmoistureatpointscalebasedonsoilwatermeasurementsfromcosmicrayneutronsensinginakarstcatchment AT xiaohanli estimationofrootzonesoilmoistureatpointscalebasedonsoilwatermeasurementsfromcosmicrayneutronsensinginakarstcatchment |