Development of hydro-social-economic-environmental sustainability index (HSEESI) in integrated water resources management.

Sustainable development is a grand challenge of the present century, with tremendous direct and indirect implications for a range of social, economic, and environmental factors. This research proposes a water-centric framework for evaluating "relative" sustainability of the status quo in a country via a new "hydro-social-economic-environmental sustainability index" (HSEESI). We test this framework across 35 countries of American continent using national-scale surveyed data for the 2005-2017 periods.

Multivariate modeling of pan evaporation in monthly temporal resolution using a hybrid evolutionary data-driven method (case study: Urmia Lake and Gavkhouni basins).

Evaporation is an important meteorological variable that has a great impact on water resources. In the current research, climatology data, and seasonal coefficient have been used to estimate monthly pan evaporation (E) for 2005-2018 study years at four selected stations of the Urmia Lake basin with Dsa and six selected stations of Gavkhouni basin with Bsk climate categories, in Iran. Estimation of monthly E was performed using data-driven methods such as artificial neural networks (ANNs), adaptive neuro-fuzzy inference system (ANFIS), and gene expression programming (GEP) as well as wavelet-hybrids (WANN, WANFIS, and WGEP).