Abstract:[1] A framework is developed for characterizing the temporal inequality of stream discharge and solute loads to receiving waters using Lorenz diagrams and the associated Gini coefficient, G. These descriptors are used to illustrate a broad range of observed flow variability with a synthesis of multidecadal flow data from 22 rivers in Florida. Multidecadal phosphorus load data from four of the primary tributaries to Lake Okeechobee, Florida, and sodium and nitrate load data from nine of the Hubbard Brook, New H… Show more
“…Recently, the concept has been applied to other research fields, such as inequalities in global water use (Seekell et al, 2011) and plant size and fecundity (Damgaard and Weiner, 2000), and temporal inequalities in catchment discharge (Jawitz and Mitchell, 2011;Masaki et al, 2014). Rajah et al (2014) used the Gini coefficient to analyze the distribution of precipitation and changes in precipitation.…”
a b s t r a c t a r t i c l e i n f oThe Loess Plateau has the most serious soil erosion in China and is the main source of sediment in the Yellow River. In this study, we systematically analyzed the changes in the mean and extreme values for temperature and precipitation over the Loess Plateau between 1961 and 2011, using a gridded dataset with high-density gauge data. Statistically significant positive trends (p b 0.05) in the mean, maximum, and minimum temperature values (TM, TX, and TN) were identified in almost all regions. Warming rates increased from the southeast to the northwest of the Loess Plateau for both TM and TN; however, for TX, the greatest warming increases were observed in the southeast region. We also found general decreases in the diurnal temperature range and the number of cold nights and cold days, and increases in the length of the growing season and the number of warm days and warm nights. Moreover, relatively intense changes occurred in the high percentile ranges for both TX and TN. The total amount of precipitation on wet days decreased over a large area of the Loess Plateau, particularly in the southeast region. The inequality in the spread of precipitation over the year (temporal inequality) increased extensively over the past fifty years in the wet region. Approximately 37.60% of the total area with a reduced amount of precipitation had concurrent decreases in both the frequency and intensity of rainfall. However, approximately 37.20% of the area with a reduced amount of precipitation had decreases in the frequency but increases in the intensity of rainfall. The proportion of days with light or moderate precipitation was decreased in the wet region which mainly located in the southwest of the Loess Plateau, but there were only minor changes in extreme precipitation events. Overall, when both temperature and precipitation changes were combined, we observed that the southwest of the Loess Plateau has undergone the largest degree of climate change. Consequently, both the ecological environment and local agriculture on the Loess Plateau will suffer increased challenges: the decline in water availability will lead to more frequent droughts, yet the risk of flood and soil erosion from extreme precipitation events will not be reduced.
“…Recently, the concept has been applied to other research fields, such as inequalities in global water use (Seekell et al, 2011) and plant size and fecundity (Damgaard and Weiner, 2000), and temporal inequalities in catchment discharge (Jawitz and Mitchell, 2011;Masaki et al, 2014). Rajah et al (2014) used the Gini coefficient to analyze the distribution of precipitation and changes in precipitation.…”
a b s t r a c t a r t i c l e i n f oThe Loess Plateau has the most serious soil erosion in China and is the main source of sediment in the Yellow River. In this study, we systematically analyzed the changes in the mean and extreme values for temperature and precipitation over the Loess Plateau between 1961 and 2011, using a gridded dataset with high-density gauge data. Statistically significant positive trends (p b 0.05) in the mean, maximum, and minimum temperature values (TM, TX, and TN) were identified in almost all regions. Warming rates increased from the southeast to the northwest of the Loess Plateau for both TM and TN; however, for TX, the greatest warming increases were observed in the southeast region. We also found general decreases in the diurnal temperature range and the number of cold nights and cold days, and increases in the length of the growing season and the number of warm days and warm nights. Moreover, relatively intense changes occurred in the high percentile ranges for both TX and TN. The total amount of precipitation on wet days decreased over a large area of the Loess Plateau, particularly in the southeast region. The inequality in the spread of precipitation over the year (temporal inequality) increased extensively over the past fifty years in the wet region. Approximately 37.60% of the total area with a reduced amount of precipitation had concurrent decreases in both the frequency and intensity of rainfall. However, approximately 37.20% of the area with a reduced amount of precipitation had decreases in the frequency but increases in the intensity of rainfall. The proportion of days with light or moderate precipitation was decreased in the wet region which mainly located in the southwest of the Loess Plateau, but there were only minor changes in extreme precipitation events. Overall, when both temperature and precipitation changes were combined, we observed that the southwest of the Loess Plateau has undergone the largest degree of climate change. Consequently, both the ecological environment and local agriculture on the Loess Plateau will suffer increased challenges: the decline in water availability will lead to more frequent droughts, yet the risk of flood and soil erosion from extreme precipitation events will not be reduced.
“…Recent work by Jawitz and Mitchell (2011) has demonstrated that considering the ratio of the variances of log-transformed loads and log-transformed flows may provide improved understanding of the interplay between concentrations and loads in relation to chemostasis. By adopting such an approach, analytical solutions for the solute export equations describing the correlation between mass fluxes and discharge (such as that seen in Fig.…”
Section: Relationship Between Observed and Modeled C Dynamicsmentioning
Abstract. Subsurface hydrological flow pathways and advection rates through the landscape affect the quantity and timing of hydrological transport of dissolved carbon. This study investigates hydrological carbon transport through the subsurface to streams and how it is affected by the distribution of subsurface hydrological pathways and travel times through the landscape. We develop a consistent mechanistic, pathway-and travel time-based modeling approach for release and transport of dissolved organic carbon (DOC) and dissolved inorganic carbon (DIC). The model implications are tested against observations in the subarctic Abiskojokken catchment in northernmost Sweden (68 • 21 N, 18 • 49 E) as a field case example of a discontinuous permafrost region. The results show: (a) For DOC, both concentration and load are essentially flow-independent because their dynamics are instead dominated by the annual renewal and depletion. Specifically, the flow independence is the result of the small characteristic DOC respiration-dissolution time scale, in the range of 1 yr, relative to the average travel time of water through the subsurface to the stream. (b) For DIC, the load is highly flow-dependent due to the large characteristic weatheringdissolution time, much larger than 1 yr, relative to the average subsurface water travel time to the stream. This rate relation keeps the DIC concentration essentially flow-independent, and thereby less fluctuating in time than the DIC load.
“…A constant pattern exhibits little directional changes in C with changes in Q (b~0), as observed for Ca 2+ and other ions with geogenic sources [Godsey et al, 2009;Thompson et al, 2011]. We define chemostatic and chemodynamic solute export regimes (Figures 1b and 1c and S1), based on the relative temporal variability in C compared to Q [Jawitz and Mitchell, 2011;Thompson et al, 2011]. We define chemostatic and chemodynamic solute export regimes (Figures 1b and 1c and S1), based on the relative temporal variability in C compared to Q [Jawitz and Mitchell, 2011;Thompson et al, 2011].…”
Section: Introductionmentioning
confidence: 99%
“…Note that these authors have referred to b~0 as "chemostatic," but we prefer "constant" because we reserve the former term for export regimes, which we define below as differentiated from C-Q patterns. Chemostatic export regimes have been observed for geologic weathering products such as Ca +2 , Mg 2+ , and K + [Godsey et al, 2009;Herndon et al, 2015;Musolff et al, 2015], as well as anthropogenically mediated solutes, such as NO 3 À and PO 4 À [Basu et al, 2010;Jawitz and Mitchell, 2011], and animalborne hormones [Gall et al, 2016]. In chemostatic export regimes, the coefficient of variation (CV) is low for C relative to Q, with CV C /CV Q ≤ 0.5 independent of slope b. Consequently, exported solute load variance CV L is dominated by discharge variance which reflects in CV L /CV Q~1 .…”
Relationships between in‐stream dissolved solute concentrations (C) and discharge (Q) are useful indicators of catchment‐scale processes. We combine a synthesis of observational records with a parsimonious stochastic modeling approach to test how C‐Q relationships arise from spatial heterogeneity in catchment solute sources coupled with different timescales of reactions. Our model indicates that the dominant driver of emergent archetypical dilution, enrichment, and constant C‐Q patterns was structured heterogeneity of solute sources implemented as correlation of source concentration to travel time. Regardless of the C‐Q pattern, with weak correlation between solute‐source concentration and travel time, we consistently find lower variability in C than in Q, such that the predominant solute export regime is chemostatic. Consequently, the variance in exported loads is determined primarily by variance of Q. Efforts to improve stream water quality and ecological integrity in intensely managed catchments should lead away from landscape homogenization by introducing structured source heterogeneity.
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