Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field
A Beijing paddy field, along with in-situ experiments, was used to validate and refine the in-situ observation (IO) method to describe nonpoint source pollution (NPS) in paddy fields. Based on synchronous observed rainfall, water depth, and water quality data at two locations (1# (near inlet) and 2#...
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oai:doaj.org-article:9e35157892bd448aba97abd57fa804c72021-11-25T19:15:49ZValidation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field10.3390/w132232352073-4441https://doaj.org/article/9e35157892bd448aba97abd57fa804c72021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4441/13/22/3235https://doaj.org/toc/2073-4441A Beijing paddy field, along with in-situ experiments, was used to validate and refine the in-situ observation (IO) method to describe nonpoint source pollution (NPS) in paddy fields. Based on synchronous observed rainfall, water depth, and water quality data at two locations (1# (near inlet) and 2# (near outlet)) with large elevation differences, the evapotranspiration and infiltration loss (ET+F), runoff depth and NPS pollution load were calculated according to IO, and a common method was used to calculate ET+F. Then, the results of the different methods and locations were compared and analyzed. The results showed that 1# observation point was located at a lower position compared with 2# observation point. According to 1# observation point, there were 5 days of dry field in the drying period, which was consistent with the actual drying period, and there was a dry period of 9 days based on 2# observation point. The ET+F estimated by IO fit well with the calculated values. In the experiment, 6 overflows and 1 drainage event were identified from the observed data at locations 1# and 2#. The relative deviation of the NPS pollution of total nitrogen (TN), total phosphorus (TP), chemical oxygen demand (COD), nitrate-nitrogen (NO<sub>3</sub><sup>−</sup>-N) and ammonia nitrogen (NH<sub>4</sub><sup>+</sup>-N) was between 0.6% and 2.0%. The water level gauge location had little influence on IO but mostly affected the water depth observations during the field drying period. The mareographs should be installed in low-lying paddy field areas to monitor water depth variation throughout the whole rice-growing season.Ya LiaoJingyi HeBaolin SuJunfeng DouYunqiang XuLifen LiMDPI AGarticlepaddy fieldrainfallrunoffnon-point source pollutionin-situ methodHydraulic engineeringTC1-978Water supply for domestic and industrial purposesTD201-500ENWater, Vol 13, Iss 3235, p 3235 (2021) |
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paddy field rainfall runoff non-point source pollution in-situ method Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 |
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paddy field rainfall runoff non-point source pollution in-situ method Hydraulic engineering TC1-978 Water supply for domestic and industrial purposes TD201-500 Ya Liao Jingyi He Baolin Su Junfeng Dou Yunqiang Xu Lifen Li Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field |
description |
A Beijing paddy field, along with in-situ experiments, was used to validate and refine the in-situ observation (IO) method to describe nonpoint source pollution (NPS) in paddy fields. Based on synchronous observed rainfall, water depth, and water quality data at two locations (1# (near inlet) and 2# (near outlet)) with large elevation differences, the evapotranspiration and infiltration loss (ET+F), runoff depth and NPS pollution load were calculated according to IO, and a common method was used to calculate ET+F. Then, the results of the different methods and locations were compared and analyzed. The results showed that 1# observation point was located at a lower position compared with 2# observation point. According to 1# observation point, there were 5 days of dry field in the drying period, which was consistent with the actual drying period, and there was a dry period of 9 days based on 2# observation point. The ET+F estimated by IO fit well with the calculated values. In the experiment, 6 overflows and 1 drainage event were identified from the observed data at locations 1# and 2#. The relative deviation of the NPS pollution of total nitrogen (TN), total phosphorus (TP), chemical oxygen demand (COD), nitrate-nitrogen (NO<sub>3</sub><sup>−</sup>-N) and ammonia nitrogen (NH<sub>4</sub><sup>+</sup>-N) was between 0.6% and 2.0%. The water level gauge location had little influence on IO but mostly affected the water depth observations during the field drying period. The mareographs should be installed in low-lying paddy field areas to monitor water depth variation throughout the whole rice-growing season. |
format |
article |
author |
Ya Liao Jingyi He Baolin Su Junfeng Dou Yunqiang Xu Lifen Li |
author_facet |
Ya Liao Jingyi He Baolin Su Junfeng Dou Yunqiang Xu Lifen Li |
author_sort |
Ya Liao |
title |
Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field |
title_short |
Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field |
title_full |
Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field |
title_fullStr |
Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field |
title_full_unstemmed |
Validation of an In-Situ Observation Method for Nonpoint Source Pollution in Paddy Fields: A Case Study of a Beijing Paddy Field |
title_sort |
validation of an in-situ observation method for nonpoint source pollution in paddy fields: a case study of a beijing paddy field |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/9e35157892bd448aba97abd57fa804c7 |
work_keys_str_mv |
AT yaliao validationofaninsituobservationmethodfornonpointsourcepollutioninpaddyfieldsacasestudyofabeijingpaddyfield AT jingyihe validationofaninsituobservationmethodfornonpointsourcepollutioninpaddyfieldsacasestudyofabeijingpaddyfield AT baolinsu validationofaninsituobservationmethodfornonpointsourcepollutioninpaddyfieldsacasestudyofabeijingpaddyfield AT junfengdou validationofaninsituobservationmethodfornonpointsourcepollutioninpaddyfieldsacasestudyofabeijingpaddyfield AT yunqiangxu validationofaninsituobservationmethodfornonpointsourcepollutioninpaddyfieldsacasestudyofabeijingpaddyfield AT lifenli validationofaninsituobservationmethodfornonpointsourcepollutioninpaddyfieldsacasestudyofabeijingpaddyfield |
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