Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data
Drought propagation pattern forms a basis for establishing drought monitoring and early warning. Due to its regional disparity, it is necessary and significant to investigate the pattern of drought propagation in a specific region. With the objective of improving understanding of drought propagation...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2018/2469156 |
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| author | Jianzhu Li Yuangang Guo Yixuan Wang Shanlong Lu Xu Chen |
| author_facet | Jianzhu Li Yuangang Guo Yixuan Wang Shanlong Lu Xu Chen |
| author_sort | Jianzhu Li |
| collection | DOAJ |
| description | Drought propagation pattern forms a basis for establishing drought monitoring and early warning. Due to its regional disparity, it is necessary and significant to investigate the pattern of drought propagation in a specific region. With the objective of improving understanding of drought propagation pattern in the Luanhe River basin, we first simulated soil moisture and streamflow in naturalized situation on daily time scale by using the Soil and Water Assessment Tool (SWAT) model. The threshold level method was utilized in identifying drought events and drought characteristics. Compared with meteorological drought, the number of drought events was less and duration was longer for agricultural and hydrological droughts. The results showed that there were 3 types of drought propagation pattern: from meteorological drought to agricultural/hydrological drought (M-A/H), agricultural/hydrological drought without meteorological drought (NM-A/H), and meteorological drought only (M). To explain the drought propagation pattern, possible driven factors were determined, and the relations between agricultural/hydrological drought and the driven factors were built using multiple regression models with the coefficients of determination of 0.4 and 0.656, respectively. These results could provide valuable information for drought early warning and forecast. |
| format | Article |
| id | doaj-art-43554c4df4fb4950ba51ecb5eb6b8b98 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-43554c4df4fb4950ba51ecb5eb6b8b982025-02-03T06:12:01ZengWileyAdvances in Meteorology1687-93091687-93172018-01-01201810.1155/2018/24691562469156Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological DataJianzhu Li0Yuangang Guo1Yixuan Wang2Shanlong Lu3Xu Chen4State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, ChinaDrought propagation pattern forms a basis for establishing drought monitoring and early warning. Due to its regional disparity, it is necessary and significant to investigate the pattern of drought propagation in a specific region. With the objective of improving understanding of drought propagation pattern in the Luanhe River basin, we first simulated soil moisture and streamflow in naturalized situation on daily time scale by using the Soil and Water Assessment Tool (SWAT) model. The threshold level method was utilized in identifying drought events and drought characteristics. Compared with meteorological drought, the number of drought events was less and duration was longer for agricultural and hydrological droughts. The results showed that there were 3 types of drought propagation pattern: from meteorological drought to agricultural/hydrological drought (M-A/H), agricultural/hydrological drought without meteorological drought (NM-A/H), and meteorological drought only (M). To explain the drought propagation pattern, possible driven factors were determined, and the relations between agricultural/hydrological drought and the driven factors were built using multiple regression models with the coefficients of determination of 0.4 and 0.656, respectively. These results could provide valuable information for drought early warning and forecast.http://dx.doi.org/10.1155/2018/2469156 |
| spellingShingle | Jianzhu Li Yuangang Guo Yixuan Wang Shanlong Lu Xu Chen Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data Advances in Meteorology |
| title | Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data |
| title_full | Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data |
| title_fullStr | Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data |
| title_full_unstemmed | Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data |
| title_short | Drought Propagation Patterns under Naturalized Condition Using Daily Hydrometeorological Data |
| title_sort | drought propagation patterns under naturalized condition using daily hydrometeorological data |
| url | http://dx.doi.org/10.1155/2018/2469156 |
| work_keys_str_mv | AT jianzhuli droughtpropagationpatternsundernaturalizedconditionusingdailyhydrometeorologicaldata AT yuangangguo droughtpropagationpatternsundernaturalizedconditionusingdailyhydrometeorologicaldata AT yixuanwang droughtpropagationpatternsundernaturalizedconditionusingdailyhydrometeorologicaldata AT shanlonglu droughtpropagationpatternsundernaturalizedconditionusingdailyhydrometeorologicaldata AT xuchen droughtpropagationpatternsundernaturalizedconditionusingdailyhydrometeorologicaldata |