Applicability of three complementary relationship models for estimating actual evapotranspiration in urban area

Nakamichi, Takeshi; Moroizumi, Toshitsugu

doi:10.1515/johh-2015-0011

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…For municipal roads in urban areas, water on roads comes from natural rainfall and artificial sprinkling [ 17 ]. Furthermore, the evaporation on the imperious surfaces occurs after rain or after artificial sprinkling [ 16 , 20 , 21 , 22 ] and plays a crucial role in road surface temperature simulations on rainy days [ 23 ]. Pervious hardened surfaces are structures that connect the surface and underground soil, which mean the rain water can infiltrate into the underground soil and the soil moisture can evaporate into the air through the pervious structure [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Mechanisms and Empirical Modeling of Evaporation from Hardened Surfaces in Urban Areas

Zhou

Liu

Chu

et al. 2021

IJERPH

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Urban evaporation, as an essential part of local water vapor resources in urban areas, has often been underestimated. One possible reason is that the evaporation of urban hardened surfaces is seldom considered and poorly understood in urban evaporation estimation. This study focused on the mechanisms and calculation of evaporation on hardened surfaces in urban areas. Experimental monitoring was used to monitor the processes and characteristics of evaporation on hardened surfaces. Mathematical models based on water quantity constraints were built to calculate evaporation of hardened surfaces. The results showed that: The interception abilities for rainwater and rainfall days of impervious hardened surfaces determine their evaporated water amount, which means no water, no evaporation for the impervious surfaces. The greater evaporation of artificial sprinkling on roads happened in fewer days of rainfall and frost. The evaporation of pervious hardened ground is continuous compared to the impervious surface. Its soil moisture in the sub-layer of permeable concrete decreases periodically with a period of one day. The evaporation of hardened surfaces occupies 16–29% of the total amount of evaporation in the built-up areas in cities. Therefore, the hardened surface evaporation has great significance on the urban hydrological cycle and urban water balance.

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Section: Introductionmentioning

confidence: 99%

Mechanisms and Empirical Modeling of Evaporation from Hardened Surfaces in Urban Areas

Zhou

Liu

Chu

et al. 2021

IJERPH

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“…There are several methods can estimate ET a by using only routine meteorological observations data (Chen et al 2020;Fan et al 2018;McMahon et al 2013). Among them, Bouchet (1963) proposed a complementary relationship (CR) which had been proven to be a feasible and efficient approach (Xu and Singh 2005;Nakamichi and Moroizumi 2015;Hobbins et al 2001). The original complementary principle based a linear complementary relationship (CR) between ET a , potential evapotranspiration (ET p ), and wet environment evapotranspiration (ET w ), in which ET a and ET p depart from ET w in opposite directions when the land surface is drying from completely wet conditions with a constant energy input (Brutsaert 2015;Zhou et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in the Upper Regions of the Mekong River and the Salween River

Jiang

Wang

et al. 2021

Preprint

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Based on observed precipitation and runoff data, monthly actual evapotranspiration (ETa) was calculated by the hydrological budget balance method in the Nu River Basin (NRB) and Lancang River Basin (LCRB). The performance of three developed complementary relationship methods, the nonlinear advection-aridity (nonlinear AA) method, generalized complementary relationship method (B2015), and sigmoid generalized complementary function (H2018), on simulating (ETa) were evaluated. The evaluation results showed that three methods were able to accurately simulate monthly (ETa) series. The NSE between the monthly (ETa) simulated by the nonlinear AA, B2015, and H2018 methods and the water-balance-derived (ETa) were 0.89, 0.83, and 0.91, respectively. The R-square were 0.90, 0.84, and 0.93, respectively. Overall, the H2018 method showed the best performance. The parameter α had a negative correlation with regional aridity index. Annual (ETa) and precipitation showed significant increasing trends during 1956–2018 in the basins at all temporal scales (dry and wet seasons and annual series). Runoff also exhibited an increasing trend in each sub-basin, except for the downstream region of the LCRB. The increasing magnitudes of wet reason precipitation and runoff in the mid-stream region was the highest, with the value of 73.7 mm/10a and 44.9 mm/10a, respectively. The (ETa) increased dramatically in the downstream region, the magnitude reached 25.9 mm/10a. Precipitation was the main factor leasing to (ETa) change. The increasing magnitude of (ETa) accounted for 42.4% of the precipitation increment. Research on the influence mechanism between meteorological factors and (ETa) showed that the contribution rate of air temperature to (ETa) was the highest, reaching 23.5%, which showed a significant positive correlation. The second was wind speed, whose contribution rate was − 10.2% on average, and even reached − 14.1% in the upstream region of the NRB. The correlation coefficient between (ETa) and wind speed was highest in mid-stream region of the NRB, which was greater than 0.80. The contribution rates of increasing humidity to (ETa) were − 12.5% and − 9.2% in the NRB and LCRB, respectively. (ETa) was negatively correlated with humidity. The negative correlation was especially strong in the mid-stream region, with coefficients were greater than − 0.65. The sunshine hours had the least effect on (ETa), and the contribution rates were − 6.5% and − 4.1%, respectively.

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“…Agricultural fields are subject to annual harvesting cycles, which influence evapotranspiration and soil permeability (e.g. through aggregate breakup (Tebebu et al, 2017) and consequent compaction), and thus runoff generation (Nakamichi & Moroizumi, 2015). Urban land-uses include built-up and green areas, displaying distinct arrangements of impervious and pervious surfaces, determining the number of overland flow sources and sinks (Jacobson, 2011).…”

Section: Introductionmentioning

confidence: 99%

Effect of Peri‐urban Development and Lithology on Streamflow in a Mediterranean Catchment

et al. 2017

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Predicting the impact of urbanization on the hydrology of peri‐urban catchments remains a challenge. Using data from nine streamflow gauges installed in a small Portuguese catchment, this study investigates the streamflow responses over a 3‐year period. The catchment comprises unique nested sub‐catchments, characterized by varying proportions of non‐urban land‐use (17–97%) and impermeable surfaces (6–36%), distances between the urban areas and the stream network and storm drainage systems (piped versus dispersed) and overlying distinct lithologies consisting of sandstone and limestone. The results show that in the peri‐urban catchment (39% urban and 22% impervious surfaces) most water infiltrated and annual storm runoff varied between 9% and 13% of rainfall. In urban sub‐catchments (≈50% urban), 29% of rainfall became storm runoff on sandstone and 17% on limestone. In sub‐catchments with more than 80% forest, storm runoff coefficients were averaged 6% independent of the lithology. Sub‐catchments with storm runoff drainage systems and downslope urban areas had shorter response times (<20 min) than dispersed urban sub‐catchments, in which part of the runoff infiltrated, and the response time was up to 1 h. Baseflow contributed between 25–33% upstream and 37–38% downstream of the sandstone total runoff, but was less than 5% in limestone areas independent of location. Hydrological impacts of urbanization may be minimized in planning through disconnecting the urban areas from the stream network, thereby enabling runoff from impervious areas to infiltrate into the soil in downstream forest patches before reaching the stream. Copyright © 2017 John Wiley & Sons, Ltd.

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Applicability of three complementary relationship models for estimating actual evapotranspiration in urban area

Cited by 6 publications

References 16 publications

Mechanisms and Empirical Modeling of Evaporation from Hardened Surfaces in Urban Areas

Mechanisms and Empirical Modeling of Evaporation from Hardened Surfaces in Urban Areas

Simulation of Actual Evapotranspiration and Evaluation of Three Complementary Relationships in the Upper Regions of the Mekong River and the Salween River

Effect of Peri‐urban Development and Lithology on Streamflow in a Mediterranean Catchment

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