Congo Basin Hydrology, Climate, and Biogeochemistry. Группа авторов

Чтение книги онлайн.

Читать онлайн книгу Congo Basin Hydrology, Climate, and Biogeochemistry - Группа авторов страница 61

Congo Basin Hydrology, Climate, and Biogeochemistry - Группа авторов

Скачать книгу

1951–1995 (44 years) 11 years (25%) 1951–1959, 1993, 1994 Mobaye 1951–1995 (44 years) 23 years (48%) 1951–1971, 1993, 1994 Bria 1951–1995 (44 years) 11 years (25%) 1951–1959, 1993, 1994 Ouadda Djalle(1) 1951–1995 (44 years) 11 years (25%) 1951–1959, 1993, 1994 Yalinga 1951–1995 (44 years) None (0%) Bangassou 1951–1995 (44 years) 11 years (25%) 1951–1959, 1993, 1994 Rafai 1951–1995 (44 years) 27 years (61%) 1951–1971, 1989–1994 Obo 1951–1995 (44 years) None (0%) Bondo 1951–1995 (44 years) 27 years (61%) 1951–1971, 1989–1994 Niangara 1951–1995 (44 years) 27 years (61%) 1951–1971, 1989–1994 Watsa 1951–1995 (44 years) 33 years (75%) 1951–1971, 1983–1994

      (1) Yppi et Bambari are assimilated; Ouadda Djalle et Birao are assimilated.

      6.3.2. Break Tests for Hydropluviometric Data

      The break tests on the rainfall P and hydrometric Q series were performed with the Khronostat 1.01 software (IRD, 1998) to characterize the stability periods of these two long time sequences, establishing if possible homogeneous flow subsequences, or hydroclimatic periods. Pettitt, Lee and Heghinian rank tests, and Hubert’s segmentation were applied (Hubert & Carbonnel, 1987). The combination of these various methods is justified by the fact that the first two methods (Pettitt’s and Lee and Heghinian’s) are tests of homogeneity whose null hypothesis indicates that a time series is homogeneous between two given dates and according to two laws of different distributions. On the one hand, these tests are known for their robustness but do not allow the detection of more than one break in a time series. On the other hand, Hubert’s test gives the year of the different breaks observed in the series with the means and standard deviations of the different segments. This method has been the subject of numerous publications in different regions of Africa (Ardoin et al., 2003; Bodian et al., 2011; Servat et al., 1999) and in Central Africa (Nguimamet & Orange, 2020). These tests have not been applied to the Uele time series, which are series inferred from the surrounding basins.

      6.3.3. Calculation of River Depletion Coefficients

      The river depletion coefficients of the Ubangi at Mobaye and the volume mobilized by the basin aquifer were calculated from daily data (according to Cosandey et al., 2003; Goula et al., 2006; Nguimalet & Orange, 2019; Savané et al., 2001). However, numerous gaps in the 1960s with exceptional rainfall and after 1976 shortened the series. This approach makes it possible to assess the contribution of surface runoff on aquifer recharge, by homogeneous hydropluviometric period in this deficit context.

      The mathematical expression for the river depletion coefficient is written:

      (6.3)normal upper Q Subscript normal t Baseline equals normal upper Q 0 normal e Superscript negative k t

      where Qt = discharge at time t, Q0 = initial discharge (discharge at the beginning of the depletion), and k = Maillet depletion coefficient. Maillet’s law is modeled on a single reservoir, which corresponds to all the aquifers contributing to flows in the watershed under study (Goula et al., 2006; Nguimalet & Orange, 2019). The integration of this equation over the interval [0, +] gives an estimate of the volume mobilized from the aquifers in the watershed, i.e.:

      (6.4)equation

      6.4.1. Interannual Evolution of Rainfall and Annual Flows of the Ubangi River at Mobaye

Скачать книгу

Hydrological basins Interannual average (mm) Pettitt Lee and Heghinian Segmentation of Hubert (mm) Standard Deviation Hydro‐climatic trends P divided by interannual average (%)
Ubangi at Mobaye (403,800 km2) 1,506 1969 1969 1938–1968: 1,568 1969–2006: 1,436 2007–2013: 1,583 109 88 81 Wet Dry Wet +4 –5 +5
Mbomu at Bangassou (115,000 km2) 1,491 1970 1951–1994: 1,851