Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm
To evaluate the state of an agricultural development more comprehensively, a vulnerability assessment is introduced into agricultural water and land resources system, and it is expected that the vulnerability assessment can provide a basis for improving system structure and function and realizing su...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/14/10/1575 |
| _version_ | 1797494547590152192 |
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| author | Dan Zhao Xiuli Men Xiangwei Chen Yikai Zhao Yanlong Han |
| author_facet | Dan Zhao Xiuli Men Xiangwei Chen Yikai Zhao Yanlong Han |
| author_sort | Dan Zhao |
| collection | DOAJ |
| description | To evaluate the state of an agricultural development more comprehensively, a vulnerability assessment is introduced into agricultural water and land resources system, and it is expected that the vulnerability assessment can provide a basis for improving system structure and function and realizing sustainable development. In the study, 27 evaluation indicators are selected from the agricultural water and land resources system (AWLRS), socio-economic system and ecological structure system to construct the evaluation index system for agricultural water and land resource system vulnerability (AWLRSV). Seagull optimization algorithm (SOA) is used to calibrate the parameters of the random forest (RF) model. SOA-RF model is applied to measure the AWLRSV of Heilongjiang Province in China. The results show that the SOA-RF model has higher accuracy and stronger stability than the traditional RF model and DA-RF model. The value of AWLRSV in Heilongjiang Province presents a downward–upward–downward trend from 2008 to 2018. The vulnerability levels are mainly level II and III, and level III is mainly distributed northwest and southeast of Heilongjiang Province. The novelty of this paper is to regard the agricultural water and land resources system as a compound system, put forward the vulnerability assessment framework. The findings may provide reference for regional sustainable development from a new research perspective. |
| first_indexed | 2024-03-10T01:35:53Z |
| format | Article |
| id | doaj.art-d61b5346d4474f67bbbe1ed02d0c2b29 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T01:35:53Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-d61b5346d4474f67bbbe1ed02d0c2b292023-11-23T13:34:33ZengMDPI AGWater2073-44412022-05-011410157510.3390/w14101575Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization AlgorithmDan Zhao0Xiuli Men1Xiangwei Chen2Yikai Zhao3Yanlong Han4School of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaSchool of Forestry, Northeast Forestry University, Harbin 150040, ChinaCollege of Engineering, Northeast Agricultural University, Harbin 150030, ChinaTo evaluate the state of an agricultural development more comprehensively, a vulnerability assessment is introduced into agricultural water and land resources system, and it is expected that the vulnerability assessment can provide a basis for improving system structure and function and realizing sustainable development. In the study, 27 evaluation indicators are selected from the agricultural water and land resources system (AWLRS), socio-economic system and ecological structure system to construct the evaluation index system for agricultural water and land resource system vulnerability (AWLRSV). Seagull optimization algorithm (SOA) is used to calibrate the parameters of the random forest (RF) model. SOA-RF model is applied to measure the AWLRSV of Heilongjiang Province in China. The results show that the SOA-RF model has higher accuracy and stronger stability than the traditional RF model and DA-RF model. The value of AWLRSV in Heilongjiang Province presents a downward–upward–downward trend from 2008 to 2018. The vulnerability levels are mainly level II and III, and level III is mainly distributed northwest and southeast of Heilongjiang Province. The novelty of this paper is to regard the agricultural water and land resources system as a compound system, put forward the vulnerability assessment framework. The findings may provide reference for regional sustainable development from a new research perspective.https://www.mdpi.com/2073-4441/14/10/1575agricultural water and land resources systemvulnerabilitySOA-RF modelHeilongjiang Province |
| spellingShingle | Dan Zhao Xiuli Men Xiangwei Chen Yikai Zhao Yanlong Han Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm Water agricultural water and land resources system vulnerability SOA-RF model Heilongjiang Province |
| title | Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm |
| title_full | Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm |
| title_fullStr | Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm |
| title_full_unstemmed | Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm |
| title_short | Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm |
| title_sort | measurement of agricultural water and land resource system vulnerability with random forest model implied by the seagull optimization algorithm |
| topic | agricultural water and land resources system vulnerability SOA-RF model Heilongjiang Province |
| url | https://www.mdpi.com/2073-4441/14/10/1575 |
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