Spatio-temporal patterns of soil erosion and suspended sediment dynamics in the Mekong River Basin.

Understanding of the distribution patterns of sediment erosion, concentration and transport in river basins is critically important as sediment plays a major role in river basin hydrophysical and ecological processes. In this study, we proposed an integrated framework for the assessment of sediment dynamics, including soil erosion (SE), suspended sediment load (SSL) and suspended sediment concentration (SSC), and applied this framework to the Mekong River Basin. The Revised Universal Soil Loss Equation (RUSLE) model was adopted with a geographic information system to assess SE and was coupled with a sediment accumulation and a routing scheme to simulate SSL. This framework also analyzed Landsat imagery captured between 1987 and 2000 together with ground observations to interpolate spatio-temporal patterns of SSC. The simulated SSL results from 1987 to 2000 showed the relative root mean square error of 41% and coefficient of determination (R(2)) of 0.89. The polynomial relationship of the near infrared exoatmospheric reflectance and the band 4 wavelength (760-900nm) to the observed SSC at 9 sites demonstrated the good agreement (overall relative RMSE=5.2%, R(2)=0.87). The result found that the severe SE occurs in the upper (China and Lao PDR) and lower (western part of Vietnam) regions. The SSC in the rainy season (June-November) showed increasing and decreasing trends longitudinally in the upper (China and Lao PDR) and lower regions (Cambodia), respectively, while the longitudinal profile of SSL showed a fluctuating trend along the river in the early rainy season. Overall, the results described the unique spatio-temporal patterns of SE, SSL and SSC in the Mekong River Basin. Thus, the proposed integrated framework is useful for elucidating complex process of sediment generation and transport in the land and river systems of large river basins.

Multi-objective models of waste load allocation toward a sustainable reuse of drainage water in irrigation.

The present study proposes a waste load allocation (WLA) framework for a sustainable quality management of agricultural drainage water (ADW). Two multi-objective models, namely, abatement-performance and abatement-equity-performance, were developed through the integration of a water quality model (QAUL2Kw) and a genetic algorithm, by considering (1) the total waste load abatement, and (2) the inequity among waste dischargers. For successfully accomplishing modeling tasks, we developed a comprehensive overall performance measure (E wla ) reflecting possible violations of Egyptian standards for ADW reuse in irrigation. This methodology was applied to the Gharbia drain in the Nile Delta, Egypt, during both summer and winter seasons of 2012. Abatement-performance modeling results for a target of E wla = 100 % corresponded to the abatement ratio of the dischargers ranging from 20.7 to 75.6 % and 29.5 to 78.5 % in summer and in winter, respectively, alongside highly shifting inequity values. Abatement-equity-performance modeling results for a target of E wla = 90 % unraveled the necessity of increasing treatment efforts in three out of five dischargers during summer, and four out of five in winter. The trade-off curves obtained from WLA models proved their reliability in selecting appropriate WLA procedures as a function of budget constraints, principles of social equity, and desired overall performance level. Hence, the proposed framework of methodologies is of great importance to decision makers working toward a sustainable reuse of the ADW in irrigation.

A simulation-based suitability index of the quality and quantity of agricultural drainage water for reuse in irrigation.

The suitability of agricultural drainage water (ADW) for reuse in irrigation was indexed based on a simulation of quality and quantity. The ADW reuse index (DWRI) has two components; the first one indicates the suitability of water quality (QLT) for reuse in irrigation based on the mixing ratio of ADW to canal irrigation water without violating the standards of using mixed water in irrigation, while the second indicates the available water quantity (QNT) based on the ratio of the available ADW to the required reuse discharge to meet the irrigation requirements alongside the drain. The QLT and QNT values ranged from 0 to ≥3 and from 0 to ≥0.40, respectively. Correspondingly, five classes from excellent to poor and from high scarcity to no scarcity were proposed to classify the QLT and QNT values, respectively. This approach was then applied to the Gharbia drain in the Nile Delta, Egypt, combined with QUAL2Kw simulations in the summer and winter of 2012. The QLT values along the drain ranged from 1.11 to 2.91 and 0.68 to 1.73 for summer and winter, respectively. Correspondingly, the QLT classes ranged from good to very good and from fair to good, respectively. In regard to QNT, values ranged from 0.10 to 0.62 and from 0.10 to 0.88 for summer and winter, respectively. Correspondingly, the QNT classes ranged from medium scarcity to no scarcity for both seasons. The demonstration of DWRI in the Gharbia drain suggests that the proposed index presents a simple tool for spatially evaluating the suitability of ADW for reuse in irrigation.

Optimization of integrated water quality management for agricultural efficiency and environmental conservation.

The scarcity of water resources in Egypt has necessitated the use of various types of lower quality water. Agricultural drainage water is considered a strategic reserve for meeting increasing freshwater demands. In this study, a novel model series was applied to a drainage basin in the Nile Delta to optimize integrated water quality management for agriculture and the aquatic environment. The proposed model series includes a waste load allocation model, an export coefficient model, a stream water quality model, and a genetic algorithm. This model series offers an optimized solution for determining the required removal levels of total suspended solids (TSS), the chemical oxygen demand (COD) at point and non-point pollution sources, and the source flows that require treatment to meet a given water quality target. The model series was applied during the summer and winter to the El-Qalaa basin in the western delta of the Nile River. Increased pollutant removal and treated fractions at point and non-point sources reduced violations of the TSS standards from 732.6 to 238.9 mg/L in summer and from 543.1 to 380.9 mg/L in winter. Likewise, violations of the COD standards decreased from 112.4 mg/L to 0 (no violations) in summer and from 91.7 mg/L to no violations in winter. Thus, this model is recommended as a decision support tool for determining a desirable waste load allocation solution from a trade-off curve considering costs and the degree of compliance with water quality standards.