Hydroeconomic Models as Decision Support Tools for Conjunctive Management of Surface and Groundwater

Abstract

Conjunctive use (CU) of surface and groundwater storage and supplies is essential for integrated water management. It is also a key strategy for supporting groundwater-dependent ecosystems, and for adapting water systems to future climate and land use changes. CU has become increasingly sophisticated and integrated with other innovative and traditional water management techniques, such as water transfers, water reuse, demand management, and aquifer remediation. CU adds value for society (increasing average yield and reliability) but can also induce costs to some parties, such as damaging senior water rights of surface water users when pumping from the aquifer reduces streamflow. Groundwater overexploitation also can produce a host of undesirable economic and environmental impacts. Successful CU implementation typically requires changes in infrastructure and operations, but also changes in institutions and institutional arrangements to offset potential third party costs and protect ecosystems. This chapter analyses first the management and economic implications of CU,

Satellite‐Based Monitoring of Irrigation Water Use: Assessing Measurement Errors and Their Implications for Agricultural Water Management Policy

“…Similarly, where groundwater and surface water are used conjunctively, or where an individual plot is served by multiple abstraction licenses, attributing rates of consumptive use to specific water rights and sources will also be challenging. Given that crop water needs in many regions are often met by a combination of groundwater and surface water (Pulido‐Velazquez et al, 2016; Tsur & Graham‐Tomasi, 1991), along with supplemental water supplied by rainfall (Fishman, 2018; Russo & Lall, 2017), this suggests that the accuracy of satellite‐based estimation of consumptive water use may be constrained by a number of factors beyond the quality of remote sensing data and models alone.…”

Development of a decision support system at the stages of pre‐design studies and design of irrigation systems based on IDEFo functional modelling methodology*

“…In this aspect, agriculture is no exception (Borozenets and Tsysar, 2013; Udias et al, 2018). Thus, information and communication technologies have found application, in particular, in the field of agriculture (Chimonyo et al 2016; Graetskaya et al 2018), ecology (Pulsani, 2017; Anandhi et al 2018; Kazak and Świaçder, 2018), forestry management (Khanina et al 2009; Sakellariou et al, 2017; Kašpar et al, 2018; Kazak et al 2018) and water resources (Pulido‐Velazquez et al, 2016; Cavazza et al, 2018; Neilsen et al, 2018). For example, the Agrophysical Research Institute has been conducting studies on development of the theoretical and methodological foundations for constructing a ‘single computerized technological space in the field of agronomy’ for many years, and there is experience in the creation and operation of various agrotechnological solutions with help of DSS (Yakushev, 2007).…”

The future role of dams in the United States of America

“…Addressing persistent and recurrent climate anomalies would certainly be easier if both surface and groundwater storage options were considered. Conjunctive surface and groundwater use, including consideration of reservoir development, has been studied in academia for at least 40 years [Burt, 1964;Yu and Haimes, 1974;Lall, 1995;Pulido-Velazquez et al, 2016] [Schlager, 2006]. Metering of surface and ground water use is critical to understanding how water storages are used and are needed to permit the market based trading of these resources.…”